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This article reviews the social origins of students' development of self-regulatory skill with special emphasis on observational learning through modeling. A social cognitive perspective on self-regulation is presented. In this view, students' academic competence develops initially from social sources of academic skill and subsequently shifts to self sources in a series of 4 levels: observational, imitative, self-controlled, and self-regulated. The effects of models on observers depend in part on perceptions of self-efficacy, or beliefs about one's capabilities to learn or perform designated behaviors. Research on social influences is reviewed, and includes factors such as cognitive modeling, coping and mastery models, self-modeling, learning goals, and progress feedback. Related theoretical perspectives are discussed along with suggestions for future research.
Social Origins of Self-Regulatory Competence
By: Dale H. Schunk and Barry J. Zimmerman
Schunk, D. H., & Zimmerman, B. J. (1997). Social origins of self-regulatory competence. Educational
Psychologist, 32, 195-208.
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This article reviews the social origins of students' development of self-regulatory skill with special emphasis on
observational learning through modeling. A social cognitive perspective on self-regulation is presented. In this
view, students' academic competence develops initially from social sources of academic skill and subsequently
shifts to self sources in a series of 4 levels: observational, imitative, self-controlled, and self-regulated. The
effects of models on observers depend in part on perceptions of self-efficacy, or beliefs about one's capabilities
to learn or perform designated behaviors. Research on social influences is reviewed, and includes factors such
as cognitive modeling, coping and mastery models, self-modeling, learning goals, and progress feedback.
Related theoretical perspectives are discussed along with suggestions for future research.
Successful adaptation to school requires that students develop self-regulation, or processes that activate and
sustain cognitions, behaviors, and affects, and that are oriented toward goal attainment (Zimmerman, 1989,
1990). Academic self-regulatory processes include planning and managing time; attending to and concentrating
on instruction; organizing, rehearsing, and coding information strategically; establishing a productive work
environment; and using social resources effectively (Kanfer & Kanfer, 1991; Karoly, 1993; Pressley et al.,
1990; Zimmerman, 1994). Self-regulation also incorporates motivational processes such as setting performance
goals and outcomes; holding positive beliefs about one's capabilities; valuing learning and its anticipated
outcomes; and experiencing positive affects (e.g., pride, satisfaction) with one's efforts (McCombs, 1989;
Schunk, 1994).
The development of self-regulation is affected by many factors, but an important set comprises socialization
influences. Several years ago researchers hypothesized that children' s exposure to socializing agents (e.g.,
models) influences their behavioral and cognitive development to include the acquisition of concepts, attitudes,
preferences, and standards for self-reward and self-punishment (Bandura & Walters, 1963; Hartup, 1978;
Mischel, 1968). Much research shows that children readily induce and transfer concepts that underlie modeling
sequences (Bandura, 1986; Rosenthal & Zimmerman, 1978; Zimmerman & Rosenthal, 1974).
In recent years, cognitive theorists have shifted their attention to the process whereby self-regulatory
competence is internalized and have studied how children arid adolescents learn to function independently from
socializing agents in an adaptive, generative, and creative manner (Bandura, 1986; Como, 1989; Fuson, 1979;
Kopp, 1982; Mithaug, 1993; Paris & Newman, 1990; Vygotsky, 1978; Wertsch, 1979; Zimmerman, in press).
In this article we identify and review research on the social origins of students' development of self-regulatory
skill with special emphasis on observational learning through modeling. Modeling occurs when observers
pattern their behaviors, strategies, thoughts, beliefs, and affects after those of one or more models (Schunk,
1987). Recent research has demonstrated the effectiveness of modeling self-regulatory skills as a means of
promoting students' academic achievement and associated self-efficacy beliefs (Schunk & Zimmerman, 1994).
Researchers hypothesize that self-efficacy, or personal beliefs about one's capabilities to learn or perform
behaviors at designated levels (Bandura, 1986, 1997), is an important cognitive mechanism that mediates the
relation of social (observational) influences and adaptive self-regulatory functioning (Schenk, 1994).
We initially present a theoretical overview of self-regulation from the particular perspective of social cognitive
theory. We focus on the roles played by two constructs that are intimately linked with this theoretical
perspective and that have been rigorously investigated by researchers in this traditionmodeling and self-
efficacy. Although these constructs have been discussed in the context of other theories (Kopp, 1982; Paris &
Newman, 1990), a unique contribution of social cognitive theory is that it highlights their contributions by
explicating them in detail to include careful empirical research methods. We then describe a social cognitive
phase model of the development of self-regulatory competence, and we compare that perspective to some other
prominent views relating to the development of self-regulation. Research on modeling and self-efficacy
processes is summarized, and we conclude with suggestions for future research in educational settings.
Social Cognitive Theory of Self-Regulation
Bandura's (1986) social cognitive theory views human functioning as a series of reciprocal interactions between
behavioral, environmental, and personal variables (e.g., cognitions, affects). For example, research shows that
self-efficacy beliefs (personal variable) influence achievement behaviors (choice of tasks, effort, persistence) in
that efficacious students are more likely to choose to engage in tasks, expend effort, and persist to overcome
obstacles and succeed (Schunk, 1996a; Zimmerman, 1995b). Conversely, behaviors influence personal
variables. As students work on tasks (behavior) they mentally note their progress (personal variable), which
conveys to them that they are capable of learning, thereby raising their self-efficacy (Schunk, 1989).
An example of the influence of environment on behavior occurs when teachers introduce an unusual stimulus or
novel event (environmental variable) and students direct their attention toward it (behavior). Behavior can affect
environment. For example, if students act puzzled by a teacher's explanation (behavior), the teacher may reteach
the material (environmental variable).
Personal variables and environments also affect one another. For example, when students with high self-
efficacy find themselves trying to accomplish an academic task in an environment full of distractions (e.g.,
noise, others working), they may redouble their mental concentration (personal variable) to make the
environment less distracting. Related views of self-regulation discuss this type of personal influence under the
headings of volitional control (Como & Kanfer, 1993) and proximal resource allocation (Kanfer & Ackerman,
1989). The influence of environmental variables on personal variables is seen when teachers give students
verbal feedback (environmental variable; e.g., "That's right. You're really getting good at this."), which raises
their self-efficacya personal variable.
Social cognitive theory postulates that the self-regulation process comprises three major levels (subprocesses):
self-ob servation, self-judgment, and self-reaction (Bandura, 1986; Kanfer & Gaelick, 1986). Self-observation
refers to deliberate attention to specific aspects of one's behavior (Bandura, 1986). Bandura and others (e.g.,
Mace, Belfiore, & Shea, 1989) recommend assessing behaviors on dimensions such as quantity, quality, rate,
and originality. When self-observation results in perceptions of goal progress, it can motivate one to improve
(Schunk, 1989). Students with academic problems often are surprised to learn that they waste much valuable
study time on nonacademic tasks. Such knowledge can motivate students to improve their habits. Self-
observation is assisted with the use of self-recording, where instances of behavior are recorded along with their
time, place, and frequency of occurrence (Mace et al., 1989).
Self-observation is closely linked to self-judgment, which refers to comparing current performance with a
standard. Bandura (1986) places much emphasis on judgmental processes and on specifying factors affecting
judgments, which has facilitated empirical investigation. Thus, self-judgments are hypothesized to be affected
by type and importance of standards employed. Standards may be stated in absolute or normative terms.
Absolute standards are fixed (e.g., a student who attempts to finish an assignment during a class period),
whereas normative standards are based on the performances of others (e.g., a student who attempts to be the
first one in the class to finish an assignment). Standards often are acquired by observing models (Bandura,
1986); socially comparing one's perfornninces with those of others helps one evaluate the appropriateness of
behavior. Social comparisons are used in the self-judgment process when absolute standards are not in effect or
are unclear (Schunk, 1996a).
Self-judgments are also affected by the importance and informativeness of standards. People are more likely to
judge their task progress for tasks they value. They may not assess their performance or expend effort to
improve their skills for tasks in which they have little interest in how they perform.
Comparing one's performance against standards provides information about progress. Students who must learn
30 new spelling words in a week know they are ahead of schedule if they learn 10 words the first day.
Self reaction involves making evaluative responses to judgments of one's performance; for example, whether it
is good or bad, acceptable or not acceptable, beyond or below expectation. These evaluative reactions constitute
a critical aspect of self-regulation and represent a unique contribution of social cognitive theory (Bandura,
1986). Evaluative reactions involve students' beliefs about their progress. The belief that one is making
acceptable progress toward a goal, along with the expected satisfaction of goal attainment, enhances self-
efficacy and sustains motivation (Schunk, 1996a). Negative evaluations will not decrease motivation if students
believe they are capable of improving (e.g., by working harder or using more effective strategies). Motivation is
not enhanced if students think they lack the capability to succeed and that increased effort or better use of
strategies will not help (Schunk, 1994). Self-reactions can be influenced by tangible self-rewards, which
validate perceptions of progress and raise self-efficacy when they are linked to actual accomplishments. For
example, students who believe they are improving their study routine may reward themselves by taking a break
to watch a movie.
These three self-regulatory subprocesses interact with one another. As students observe their own performances,
they judge them against goal standards and react to those judgments. Their evaluations and reactions set the
stage for additional observations. These subprocesses also interact with environmental factors (Zimmerman,
1989). Students who judge their task progress as inadequate may react by requesting teacher assistance. Teach-
ers may help students learn a better strategy, which students then use to produce better learning. This dynamic
interaction of aspects of self-regulation is one of its central features (Schunk & Zimmerman, 1994).
Modeling Processes
Modeling often is an antecedent of self-regulation. An important contribution of social cognitive theory is to
show that modeling can serve different imitative functions: inhibition/disinhibition, response facilitation, and
observational learning (Bandura, 1986). Inhibition/disinhibition refers to the strengthening or weakening of
behavioral inhibitions that occurs as a result of observing models. For example, students who are afraid of math
and observe models engage in math activities without negative consequences may experience less fear and try
the activities themselves (Zimmerman & Kindsler, 1979). Conversely, students who observe peers punished for
classroom misbehavior may be less likely to misbehave.
Response facilitation occurs when modeled actions serve to socially prompt behavior by observers. New
students in a class are likely to follow along and perform actions comparable to those of classmates as a means
of learning the rules and routines. Modeling even has been shown to induce greater creative fluency among
observing students (Zimmerman & Dialessi, 1973).
Observational learning through modeling occurs when observers display new behaviors that prior to modeling
had no probability of occurrence, even with motivational inducements in effect (Bandura, 1986; Schunk, 1987;
Zimmerman & Rosenthal, 1974). To learn observationally, students must attend to a model, code the
information for retention, be capable of producing the demonstrated responses, and be motivated to perform the
modeled behaviors (Bandura, 1986). An important form of observational learning occurs through cognitive
modeling, which incorporates modeled explanations and demonstrations with verbalizations of the model's
thoughts and reasons for performing the actions (Meichenbaum, 1977).
Exposure to models is informative. Observer modeling is strongly affected by the functional value of behav-
iorwhether modeled behaviors result in success or failure, reward or punishment. Modeled behaviors that lead
to rewarding outcomes are more likely to be performed than behaviors that result in punishment (Zimmerman &
Koussa, 1979).
Modeled (vicarious) consequences also indicate the motivational value of behavior to observers (Bandura,
1986). By observing modeled behaviors and their consequences, people formulate outcome expectations about
the likely outcomes of actions. These expectations motivate behavior (Zimmerman, 1977).
Perceived similarity between model and observer is hypothesized to be an important source of information to
determine behavioral appropriateness and formulate outcome expectations (Schunk, 1987). Most social
situations are structured so that the appropriateness of behaviors depends on factors such as age, gender, or
status. Although exceptions exist, the more alike observers are to models, the greater the probability that similar
actions by observers are socially appropriate and will produce comparable results (Zimmerman & Koussa,
1975). Similarity is especially influential when observers have little information about the functional value of
behaviors. This is not intended to downplay the importance of diversity: People learn from models who are
unlike themselves in many attributes. Societal norms are such, however, that similarity in critical attributes is
highly predictive of appropriateness for many behaviors (Bandura, 1986).
The effects of modeled consequences on observers depend in part on self-efficacy. Similarity to models consti-
tutes an important source of vicarious information for gauging one's efficacy. Observing similar others succeed
can raise observers' efficacy and motivate them to try the task because they may believe that if others can
succeed they can as well. When similar others experience difficulty, observers may doubt their capabilities and
may not be motivated to try the task. Similarity can have profound effects in situations where individuals have
experienced difficulties and hold doubts about performing well (Schunk, 1987).
In the current view, models are important sources for conveying self-regulatory skills and for building their self-
efficacy to employ these skills effectively on their own. The academic self-regulatory skills mentioned at the
outset of this article are amenable to transmission by social models: planning and managing time; attending to
and concentrating on instruction; organizing, rehearsing, and coding information strategically; establishing a
productive work environment; and using social resources. For example, students might observe a teacher
engage in effective time management and verbalize appropriate principles. By observing models, students may
believe that they also can plan and manage time effectively, which creates a sense of self-efficacy for academic
self-regulation and motivates students to engage in these activities.
Self-efficacy is hypothesized to influence choice of tasks, effort expenditure, persistence, and achievement
(Bandura, 1986, 1997; Schunk, 1996a; Zimmerman, 1995b). Compared with students who doubt their learning
capabilities, those with high self-efficacy for acquiring a skill or performing a task participate more readily,
work harder, persist longer when they encounter difficulties, and achieve at a higher level.
Learners obtain information about their self-efficacy from their performance accomplishments, vicarious
(observational) experiences, forms of persuasion, and physiological reactions. Students' own performances offer
reliable guides for assessing self-efficacy. Successes raise efficacy and failures lower it (Zimmerman & Ringle,
1981). Students socially acquire efficacy information by comparing their performances with those of others.
Similar others offer a valid basis for comparison (Schunk, 1987). Observing similar peers succeed (or fail) at a
task may raise (or lower) observers' self-efficacy, The effects of such vicariously induced changes in self-
efficacy can be negated by observers' subsequent performance outcomes (e.g., observers fail to perform the task
after they view successful models).
Learners often receive from teachers, parents, coaches, and peers persuasive information that they are capable
of performing a task (e.g., "You can do this."). Such information can raise efficacy but can lose its influence
from subsequent performance failure (Bandura, 1997). Students also acquire efficacy information from
physiological reactions (e.g., sweating, heart rate). Symptoms signaling anxiety may convey that one lacks skill;
lower anxiety may be construed as a sign of greater competency. It should be noted that sources may offer
conflicting information; for example, a teacher gives positive feedback, but a student feels highly anxious. We
cannot always predict which source will have the strongest effect on efficacy; it may depend on factors such as
prior experiences, source credibility, and motivational influences (e.g., peer pressure).
Self-efficacy is an important influence on achievement behavior but not the only one. High self-efficacy will
not produce competent performances when requisite knowledge and skills are lacking, Outcome expectations
are influential because students engage in activities they believe will lead to positive outcomes (Shell, Murphy,
& Bruning, 1989). Per ceived valuethe perceived importance of learning, or what use will be made of what
one learnsaffects behavior because learners show little interest in activities they do not value. Assuming,
then, that students possess adequate skill, hold positive outcome expectations, and value what they are learning,
self-efficacy is hypothesized to exert an important effect on the instigation, direction, and persistence of
achievement behavior.
Effective self-regulation depends on feeling self-efficacious for using skills to achieve mastery (Bandura, 1986,
1997; Bouffard-Bouchard, Parent, & Larivee, 1991; Schunk, 1996a; Zimmerman, 1989). As students work on a
task, they compare their performances to their goals. Self-evaluations of progress enhance self-efficacy and
maintain motivation to improve. Students who feel efficacious about learning or performing well are apt to
implement effective self-regulatory strategies, such as concentrating on the task, using proper procedures,
managing time effectively, seeking assistance as necessary, and monitoring performance and adjusting strate-
gies as needed (McCombs, 1989; Pintrich & De Groot, 1990; Zimmerman, 1994). The latter self-regulatory
strategies are types of volitional processes (Corno, 1993) because they involve task and self-management rather
than personal appraisals of efficacy.
Although low self-efficacy is detrimental, effective selfregulation does not require that self-efficacy be
exceptionally high. Salomon (1984) found that a slightly lower sense of self-efficacy led to greater mental effort
and better learning than did extreme confidence. There is a limit, however; a very low sense of efficacy does not
motivate. Assuming that learners feel efficacious about surmounting problems, holding some doubt about
success may mobilize effort and effective use of strategies more than does feeling overly confident.
Development of Self-Regulatory Competence
Zimmerman and Bonner (in press) advanced a social cognitive theoretical model of the development of self-
regulatory competence (Table 1). The model predicts that academic competence develops initially from social
sources and subsequently shifts to self sources in a series of levels. Novice learners acquire self-regulatory skills
and strategies most rapidly from social modeling, tuition, task structuring, and encouragement (Zimmerman &
Rosenthal, 1974). Although many learners can induce the major features of strategies from watching a model
(observational level of academic skill), most of them will benefit from actually performing the strategies to help
incorporate them into their behavioral repertoires. If a model adopts a teaching role and provides guidance,
feedback, and social reinforcement during practice, he or she can improve the observer's behavioral accuracy of
the skill portrayed (i.e., cognitive, motor, social). During participant or mastery modeling (Bandura, 1986), the
model repeats selected aspects of the strategy and guides enactment based on the learners' imitative accuracy.
The primary source of motivation during this phase is vicarious reinforcement. Successful models and their
methods are emulated; unsuccessful ones are avoided.
An imitative level of self-regulatory competence is attained when the learner's performance approximates the
general form of the model. The observer is not copying the exact actions of the model; rather, the learner
emulates the model's general pattern or style of functioning. For example, the learner may imitate the type of
question a model asks but not duplicate the model's precise wording (Zimmerman & Rosenthal, 1974). The
distinction between the observational level and the imitative level of self-regulatory skill and the sequential
dependence of the latter on the former stems from the early social cognitive research separating cognitive
acquisition from motoric performance. Bandura (1965) showed that what is learned vicariously is riot
necessarily manifested in imitative responses unless the student possesses the requisite motoric skill and
motivation. Socially reinforced motoric practice was found to be important in developing imitative accuracy
(Bandura, 1977). Recent research has revealed that students trained to discriminate essential qualitative features
of a modeled novel speech form cognitively displayed not only faster imitative learning of the speech skill but
also greater self-efficacy about their learning progress than untrained counterparts (Ellis, 1995).
The source of learning of self-regulatory skill is primarily social for the first two levels of academic
competence; most research summarized in this article addresses social influences. At more advanced stages, the
locus shifts to self sources. We discuss some higher level research, but we refer readers to Schunk and
Zimmerman (1996) for a thorough discussion of research at the self level.
The most apparent manifestation of the third, self-controlled level of academic self-regulatory skill, is the
capability of learners to use the strategy independently when performing transfer tasks. Students' use of a self-
regulatory strategy becomes internalized during this phase, but it remains dependent on representational
standards of a model's performance (i.e., covert images and verbal meanings) and the self-reinforcement that
stems from behaviorally matching these representations (Bandura & Jeffery, 1973).
A higher level of self-functioning is needed to deal with more complex situations. The fourth, self-regulated
level of self-regulatory skill, allows learners to systematically adapt their learning strategies to changing
personal and contextual conditions (Bandura, 1986). At this level of competence, the learner can initiate use of
strategies, incorporate adjustments based on contextual features of the situation, and maintain motivation by
self-efficacy perceptions of enactive success. The learner chooses when to use a strategy and varies its features
self-regulatively with little or no residual dependence on the model during this phase. Although this self-
regulated level of functioning emerges from specific social learning experiences, it depends in part on children's
overall cognitive and motoric development.
This four-level analysis of the development of self-regulatory competence begins with acquiring knowledge of
learning skills (observation) and includes using these skills (imitation), internalizing them (self-control), and
employing them adaptively (self-regulation). The primary source of motivation also shifts from social to self-
regulated sources: Vicarious, reinforcement assumes prominence during observation, direct reinforcement
during imitation, self-reinforcement during the self-control phase, and self-efficacy beliefs during the self-
regulatory phase. Although a developmental progression occurs from social to self-influences, it is assumed that
personal self-regulatory influences (e.g., self-efficacy, metacognition, and affect) remain reciprocally
interdependent with socialenvironmental and behavioral triadic influences (Zimmerman, 1989). Self-
regulation does not imply a person's obliviousness to social influences but rather his or her intentional, self-
observant use of these social forces. Consider the example of expert tennis players who self-select personal
coaches to work on developing effective court strategies and on keeping mechanical flaws from entering their
game. These self-regulated players rely on their athletic expertise to choose valuable social assistance. In
similar fashion, students who self-regulate their academic learning have been found to seek help strategically
(Newman, 1994; Zimmerman & Martinez-Pons, 1986).
Social cognitive researchers view self-regulation as a domain-specific level of acquired skill that depends on
several task-dependent processes, such as planning, strategizing, developing motoric proficiency, and self-
monitoring. For example, students' competence to self-monitor and self-adjust their academic writing usually
differs from the same self-regulatory competencies in mathematical reasoning or performing a sport. These
task-dependent processes allow this phase or level perspective to explain specific forms of skill development
beyond children's initial ability to self-adjust their performance to common tasks, such as older students' and
adults' expert mastery of specialized skills (Zimmerman & Kitsantas, 1996, 1997).
This phase formulation of self-regulatory development differs from stage conceptualizations by its emphasis on
an optimal sequence of social learning interactions rather than on an invariant sequence of age-related personal
traits or cognitive stages. According to this phase model, learning is optimized when the needed form of social
instruction is matched to the students' level of regulatory skill on the task in question. Either premature or
delayed reliance on self-regulatory processes can retard the speed of learning and the ultimate degree of
achievement (Zimmerman & Kitsantas, 1997). Most coaches can tell stories of strong-willed students who have
resisted instructional advice and shifted to self-directed practice before they were ready.
Not only may students shift their instructional phase inappropriately, they may attempt to skip some phases
entirely. For example, a student may not have access to an exemplary model to learn a skill or may choose to
develop the skill on his or her own. He or she would, in essence, miss the first three stages and try to begin at a
self-regulatory level. This trial-and-error approach to skill development fails to build on social cultural advances
in learning and generally reduces the speed and amount of learning for most complex skills because it
presupposes underlying self-regulatory processes, such as effective strategies and self-monitoring. A social
cognitive phase model of self-regulatory development also assumes that learners may need to recycle through
earlier instructional phases periodically because of slumps, ruts, or setbacks. For example, several professional
golfers have gone back to prior coaches when they lost control of some aspect of their game.
What develops is students' capability to learn and perform a specific task effectively under decreasing levels of
socialinstructional support. Although increases in the use and quality of self-regulatory processes and reliance
on internalized forms of motivation are expected to improve one's effectiveness, other factors affect
performance outcomes as well, such as mental and physical abilities. A child with a learning disability may
need to engage in high levels of self-regulation to read at his or her grade level. Factor analytic research
(Zimmerman & Martinez-Pons, 1988) has shown that academic self-regulatory skill is distinctive from but
correlated with indices of both ability and achievement. Thus, achievement is a confounded index of self-
regulatory skill. To determine students' phase level of self-regulatory development, testing their domain-specific
skill under varying circumstances of social support is necessary.
The purpose of a social cognitive phase model is not to classify learners on an invariant progression of mutually
exclusive stages. Rather, it is to guide socialinstructional experiences to enhance students' development of self-
regulatory processes during specific learning episodes. Learning is optimized when social parameters of
instruction are matched to the student's phase of regulatory development, and development is optimized when
learning episodes socially convey the processes needed to personally regulate at the next phase level. Students
internalize more than an academic skill from these social learning episodes; they acquire the tools for further
learning the skill more effectively on their own, such as how to self-monitor and self-adjust their study efforts.
Self-regulatory development is a dynamic sequence of inter-to intrapersonal shifts rather than an unidirectional
age-related progression of mutually exclusive stages. Unlike nativist stage theories that assume development
constrains learning (e.g., Piaget, 1970), a social cognitive phase model seeks to describe how learning and self-
regulatory development are reciprocally beneficial (Zimmerman, 1995a).
Although this article focuses on social cognitive theory, other theoretical perspectives address the development
of self-regulation. Our purpose is not to provide a complete review of applicable self-regulation theories; an
extensive discussion would alter the article's focus and extend beyond its intended scope. Rather, we discuss
two well-known and often-cited perspectives bearing on the development of self-regulation: sociocultural
theory and self-determination theory.
Sociocultural Theory
Vygotsky (1962, 1978) suggested that children's self-regulatory activities grow from social interactions between
adults or more mature peers and learners in four stages. He observed that adults provide support within
children's zone of proximal development on tasks they cannot perform by themselves. The adults and children
collaborate to complete tasks, and social dialogue between them helps develop children's self-directive speech,
which is believed to be the source of self-regulatory control.
In the first stage, infants respond reflexively to the environment in stimulusresponse fashion on the basis of a
preprogrammed nervous system. Adults regulate infants' behavior by controlling immediate stimuli in the
environment using signsespecially speech cues. During the second stage, toddlers begin to mediate
behavioral responding using external signs as an aid, but these youngsters have mastered only concrete, external
connections between signs and stimuli. They begin to use signs in order to influence other people around them.
During the third stage, young children can regulate their own behavior by actively organizing their stimulus
fields to achieve desired responses. Signsparticularly speechbecome internalized during this stage, and
youngsters manipulate them to carry out behavioral operations. The word as a sign of socially shared meaning
becomes the most useful tool in young children's attempts to master their environment Finally, during the fourth
stage, external relations among stimuli, signs, and behavior become fully internalized. During, this self-
regulated phase, children begin to function without the aid of external signs because basic processes have been
transformed linguistically into tools for planning and guiding cognitive and behavioral activities.
Vygotsky viewed self-regulation as a generalized trait or stage of competence that children develop by the early
elementary school grades when self-directive speech is believed to become covert, but one should note that
many contemporary instructional adaptations of Vygotsky' s theory no longer adhere to this generalized stage
assumption (Gallimore & Tharp, 1990). Perhaps because Vygotsky sought to explain self-regulatory
competence but not performance, he said little about what motivates self-regulatory activity except that children
will be motivated when learning activities are embedded in a social system involving joint participation in
learning with peers or teachers (Henderson & Cunningham, 1994). When teaching self-regulation, Vygotsky
emphasized the role of verbal intersubjectivity between adults and children as the primary source of children's
internalization of self-directed speech. Reciprocal teaching involving verbal elaboration and explanation
between adults and children is perceived as better for self-regulatory development than direct verbal modeling,
which is assumed to produce passive compliance (Diaz, Neal, & Amaya-Williams, 1990).
Like Vygotsky, social cognitive researchers emphasize the importance of socialization influences, but we stress
the roles of other triadic learning processes besides self-verbalization. These include self-controlled practice of
motoric elements, use of environmental resources, and reliance on additional personal processes, such as
cognitive strategies, nonverbal imagery, and affect (Schunk, 1989; Zimmerman, 1989; Zimmerman &
Risemberg, 1997). The Vygotskian assumption that modeling leads to passivity is questioned on the basis of
extensive evidence that observational learning and imitation primarily elicit cognitively constructive processes
rather than passive compliance or mimicry (Rosenthal & Zimmerman, 1978; Zimmerman & Rosenthal, 1974).
In contrast to Vygotsky' s generalized stage account of self-regulatory development, social cognitive researchers
view self-regulation as a domain-specific level of skillful functioning. In addition to the development of task-
related competence, a triadic account of self-regulation seeks to explain lapses in performance depending on
adverse environmental, personal, or behavioral conditions, This multifaceted explanation for self-regulatory
competence and performance considers both the developmental level and task-dependence of specific
processes, such as strategy use and self-monitoring (e.g., Schunk & Swartz, 1993; Zimmerman & Kitsantas,
1996, 1997), as well as specific sources of motivation, such as self-reinforcement and self-efficacy beliefs.
Because of these features, this developmental level formulation can address human functioning beyond
children's initial ability to self-adjust their performanceespecially older children's and adults' expert
competence and performance (Ericsson & Charness, 1994; Zimmerman, in press).
Self-Determination Theory
In the context of the theory of self-determination, Deci and colleagues (Deci & Ryan, 1991; Rigby, Deci,
Patrick, & Ryan, 1992; Ryan, Connell, & Deci, 1985) discussed the process whereby extrinsic controls,
rewards, and structures become internalized and integrated into the self-regulation system. This self-
determination view is relevant to our perspective because it describes a multistage process of increasing self-
regulation and involves external factors that initially are not part of children's self-regulatory processes but are
motivational and help produce desirable social functioning.
The activities of interest are extrinsic in that they are not activities engaged in for their own sake (intrinsic) but
rather are performed because of external controls, to obtain rewards, or to please others. Internalization is the
process whereby individuals transform regulation by external events into regulation by internal factors (self-
determination). This is an organismic process that involves children assimilating the socializing environment
and accommodating to its demands (Ryan et al., 1985). According to self-determination theory, the origins of
self-regulatory behavior lie in social factors that are not intrinsically (naturally) motivating.
Deci and associates describe a continuum of internalization. At the lowest level, external regulation, students
perform (or do not perform) activities based on expected extrinsic contingencies (i.e., to obtain :rewards or
avoid punishments). We find little self-determination, for example, when students work on a task to obtain
teacher praise or to avoid criticism.
The next level, introjected regulation, involves contingently applied self-approval or self-disapproval. The
source of motivation is internal (feelings of should, ought, guilt) to the student but not self-determined because
the motivation seems to be controlling the student. Students display introjected regulation when they engage in
an activity out of feelings of guilt (they will feel guilty if they do not perform it) or to avoid anxiety and self-
disapproval that would accompany failure and feel better about themselves when they perform well (i.e., they
are glad they did it).
At the third level, identified regulation, people engage in an activity because it is personally important to them.
The regulation, which previously was extrinsic, is now viewed as one's own goal or value and thereby largely
self-determined. Students display identified regulation when they study diligently to make good enough grades
to be accepted by a university or when they spend extra hours working on cars to become skillful enough to
obtain a mechanic's position. These goals have extrinsic utility value but they are personally meaningful to the
students, although these are not the same as being intrinsically motivated.
In the final level of extrinsic motivation, integrated regulation, people integrate internal and external sources of
information into their current identifications. Students engage in behavior because of its importance to their
sense of self. One might have multiple goals (e.g., learn material and relate well to others) that do not
necessarily interfere with one another. This represents a mature level of self-regulation that typically is
attainable only in late adolescence (Ryan et al., 1985). Although this final level is still instrumental rather than
reflecting intrinsic motivation, it represents a form of self-determination and autonomy (Pintrich & Schunk,
Unlike Vygotsky' s theory, the self-determination perspective focuses mainly on developmental changes in
motivation from extrinsic to intrinsic sources but says relatively little about developmental changes in the self-
regulation of learning. This perspective describes developmental shifts in why students learn but not in how
students learn on their own. Like a social cognitive phase model, the self-determination view postulates a series
of levels characterized by increasing self-motivation. We suggest that an optimal model of self-regulatory
development needs to explain not only increasing self-motivation but also enhanced self-regulation of learning,
such as children's increasing capability to set goals, concentrate, self-monitor, and use strategies on their own
(Bandura, 1986; Schunk, 1994; Zimmerman, 1994). Although Vygotsky' s theory could be used to explain
cognitive features of self-regulatory development and self-determination theory could be used to describe
motivational features, we suggest that an integrative explanation for both learning and motivational processes is
preferable. Self-regulated learners are distinguished by their self-reliant methods of learning as well as their
self-motivation (Zimmerman, 1989).
A social cognitive phase model seeks to describe how an optimal sequence of social learning episodes
systematically reduces social instructional support and external sources of motivation as students become more
self-regulatory and more self-motivated. A comprehensive account of self-regulatory development must
describe the interaction between learning and motivation. For example, self-monitored changes in learning
during the self-control and self-regulation phases enhance self-reinforcement and self-efficacy beliefs as well as
provide feedback about the effectiveness of particular learning strategies. We believe that an integrative model
of self-regulatory learning and motivational development is essential for guiding research and instructional
This section presents a limited review of research on the social origins of self-regulatory competence. As
shoWil in Table 1, social origins include models, verbal description, social guidance, and feedback. To further
focus our review, we summarize primarily research on observational learning through modeling. Self-
influences, which include factors such as self-instruction, personal goal setting, self-monitoring, self-evaluation,
help seeking, and time management, extend beyond the scope of this article and are discussed in detail
elsewhere (Bandura, 1986; Schunk & Zimmerman, 1996). One should note that social and self factors can
interact and that self factors can be affected by influences in the social environment. For example, internal
standards can be acquired through observations of models. In general, however, self influences depend less on
the social environment than do the social influences.
Models and Verbal Description
Extensive literature exists on the role of modeling in social development (Rosenthal & Bandura, 1978). The
topic has experienced renewed interest lately due to its relevance to educational processes such as peer
collaboration, mentoring, and apprenticeships (Bailey, 1993; Cohen, 1994).
Models are important sources for the initial development of self-regulation--an observational level of self-
regulatory competence. By observing models, students acquire knowledge and strategies that they subsequently
apply as they work on tasks. Modeled actions also convey to observers that they can succeed if they follow the
same sequence. Students who believe they know what to do to perform a task feel more efficacious about
succeeding, and this sense of efficacy is increased as observers experience performance success (Schunk, 1987).
An important means of developing an observational, level of self-regulatory competence is through cognitive
modeling (discussed earlier). Schunk (1981) gave children who had difficulty in mathematics either cognitive
modeling or didactic instruction. In the modeling treatment children observed an adult model verbalize long--
division solution steps while applying them to problems. The didactic treatment consisted of children reviewing
instructional, pages that portrayed step-by-step solutions of division problems. Both cognitive modeling and
didactic instruction led to significant increases in self-efficacy, skill learning, and persistence, but modeling
resulted in significantly greater division skill learning compared with the didactic treatment. Results of a path
analysis showed that self-efficacy exerted a direct effect on both persistence and learning.
Perceived similarity to models in important attributes can raise observers' self-efficacy and motivation when
observers believe that if others can succeed they can as well (Schunk, 1987). One way to increase model
observer similarity may be with coping models, who initially demonstrate the typical problems and possibly
fears of observers but gradually improve their performances and gain self-confidence. These models illustrate
how effort and positive thoughts can overcome difficulties. Coping models contrast with mastery models, who
demonstrate faultless performance from the outset (Schunk, 1987). In the early phases of learning, many
students may perceive themselves more similar in competence to coping models.
Schunk and Hanson (1985) determined the effects on children's achievement outcomes of peer mastery and
coping models, adult models, and no models. Mastery models solved subtraction problems correctly and
verbalized statements reflecting high self-efficacy and ability, low task difficulty, and positive attitudes. Coping
models initially made errors and verbalized negative statements, but then verbalized coping statements (e.g., "I
need to pay attention to what I'm doing.") and eventually verbalized and performed as well as mastery models.
Mastery and coping models increased self-efficacy and subtraction achievement better than adult models or no
models; adult-model children outperformed no-model students. Although adult models can teach students self-
regulatory skills, students' self-efficacy for learning may be aided better by observation of similar peers. In turn,
self-efficacy can sustain motivation for skill improvement.
The lack of differences between the coping and mastery model conditions may have arisen because children had
previously experienced success with subtraction; thus, any type of peer model would have raised efficacy.
Schunk, Hanson, and Cox (1987) further explored the coping-mastery model distinction and found that
observing coping models enhances children's self-efficacy and skillful performance more than does observing
mastery models. Unlike Schunk and Hanson (1985), Schunk et al. (1987) used a task (fractions) at which
children had not previously been successful. Coping models may be more beneficial when students have little
task familiarity or have encountered previous learning difficulties. Schunk et al. also showed that multiple
models (coping or mastery) promote outcomes as well as a single coping model and better than a single mastery
model. With multiple models, learners are apt to perceive themselves as similar to at least one model.
Models also can help to develop an observational level of self-regulatory competence by verbalizing and acting
in accordance with abstract rules and concepts for self-regulation. For example, Bandura and Kupers (1964)
showed children a model demonstrating stringent or lenient standards while playing a bowling game. Children
exposed to high-standard models were more likely to reward themselves for high scores and less likely to
reward themselves for low scores compared with individuals assigned to the low-standard condition. Davidson
and Smith (1982) had children observe a superior adult, equal peer, or inferior younger child set stringent or
lenient standards while performing a pursuit-rotor task. Children who observed a lenient model rewarded
themselves for lower scores more than did children who observed a stringent model. Children's self-reward
standards were lower than those displayed by the adult, equal to those portrayed by the peer, and higher than
those demonstrated by the younger children. Age similarity may have led children to believe that the standards
adopted by the peer were the most appropriate for them.
Models often provide social evaluative cues, feedback, and assistance to help observers achieve an imitation
level of self-regulatory competence. France-Kaatrude and Smith (1985) had first and fourth graders perform a
pursuit-rotor task and allowed children to compare their performances with a peer, of higher, equal, or lower
competence. Relative to children offered social comparisons with superior or inferior peers, children who could
compare with a similarly performing peer did so more often, displayed greater task persistence, and took fewer
Another effective, method of developing imitative competence is self-modeling, which involves observing one's
own performances (Dowrick, 1983). In a typical study, participants are videotaped while performing a task and
subsequently view their tapes. Tapes allow for review and are especially informative for tasks one cannot watch
while performing (e.g., motor skills, social interactions). When performances contain errors, having a
knowledgeable individual provide feedback during tape review helps to prevent performers (observers) from
becoming discouraged. The expert can explain how to execute the behaviors better the next time. Tapes can
convey to observers that they are becoming more skillful and will continue to make progress by employing
effective self-regulatory strategies. These beliefs raise observers' self-efficacy for continued learning.
In support of these points, Schunk and Hanson (1989) videotaped children solving mathematical problems and
showed them their tapes. Subsequent self-modeling benefits were obtained as these children displayed higher
self-efficacy, motivation, and self-regulated strategy use than did children who had been taped but did not
observe their tapes and children who had not been taped.
Teachers must fade social and instructional supports and encourage students to work on their own so that
students may achieve an imitative level of competence. Fading can be done gradually as students abstract the
underlying learning strategy and receive progress feedback.
Social Guidance and Feedback
Research by Schunk and Swartz (1993) illustrates how students can be guided from the imitative learning level
to a self-controlled level of self-regulatory competence through social guidance and feedback. The context was
instruction on paragraph writing with elementary-school children. Students received writing instruction from an
adult model, who demonstrated application of a five-step writing strategy (e.g., choose a topic to write about,
pick the main idea). Once children observed the model they received guided practice applying it to paragraphs
(e.g., descriptive, narrative, informative). Eventually the guided practice shifted to independent practice where
students worked on their own. Thus, the adult support initially present was gradually lessened as students
gained imitative competence. Researchers expected that students who had attained a self-controlled level of
competence would fare better if they were given a process (learning) goal rather than a product (performance)
goal to guide their self-directed practice.
Four experimental conditions existed: process (learning) goal, process goal plus progress feedback, product
(performance) goal, general (instructional control) goal. Process-goal and process-goal plus progress-feedback
students received instructions at the start of each session that emphasized a goal of learning to use the strategy
to write paragraphs. Product-goal students were told that their goal was to write paragraphs; general-goal
children were advised to do their best. Other types of goals mentioned in the literature that are conceptually
similar to process (learning) goals include mastery goals, task-involved goals, and task-focused goals (Ames,
1992; Butler, 1992; Meece, 1991; Nicholls, 1984; Wentzel, 1992); synonyms for product (performance) goals
include ego-involved goals and ability-focused goals.
Children assigned to the process-goal plus progress-feedback condition periodically received social (verbal)
feedback from the adult model that linked their use of the strategy with improved writing performance (e.g.,
"You're doing well because you followed the steps in order."). Feedback was given contingent on students using
the strategy properly. Schunk and Swartz felt that in a subject such as writing, progress often is difficult to
gauge on one's own; thus, the feedback would inform students of their learning progress and raise self-efficacy
and motivation.
The process-goal plus feedback condition was the most effective and some benefits of the process goal alone
also occurred. Process-goal plus feedback students generally outperformed product- and general-goal students
on self-efficacy and writing skill. The former students also demonstrated the greatest amount of strategy use
while writing paragraphs. Gains made by process-goal plus feedback students were maintained after 6 weeks
and generalized to types of paragraphs on which students had received no instruction.
Graham and Harris (1989a, 1989b; Sawyer, Graham, & Harris, 1992) showed that teaching students with
learning disabilities a strategy for writing essays or stories improves their self-efficacy and writing performance
and that gains are maintained after instruction and generalize to other settings and content. A cognitive
modeling procedure was used in which models explained and demonstrated the strategy while applying its steps
to write stories. Models also conveyed to students the value of strategy use by providing feedback emphasizing
that strategy use would help students attain their learning goals. Other components of the procedure were self-
monitoring of writing performance and self-evaluation of progress by comparing goals with achievement.
Recently, the effectiveness of process goals during self-directed learning was compared with that of product
goals without any external social feedback. Zimmerman and Kitsantas (1996) worked with high-school girls
learning the novel athletic skill of dart throwing. All of the girls in the experimental groups were given strategy
training and then were asked to practice on their own. Some girls were asked to set a process goal and
concentrate on executing the strategy (e.g., sighting, throwing, follow through) as they practiced the skill,
whereas others were asked to set a product (e.g., outcome) goal of trying to get the most points as they
practiced. The results showed that girls given a process goal surpassed those given a product goal in dart-
throwing skill, self-efficacy beliefs, self-reactions (rated satisfaction), and intrinsic interest in dart throwing
relative to other sports.
These results suggest that as strategic performing is being internalized, process goals enhance learning better
than product goals. However, after internalized self-control is attained, product goals may enhance learning
better, and this hypothesis was tested in research. Zimmerman and Kitsantas (1997) found that after a dart-
throwing strategy was fully internalized (i.e., the strategy was performed flawlessly), product goals were highly
effective in guiding self-directed practice. High-school girls given product goals surpassed those given process
goals in dart-throwing accuracy, self-efficacy beliefs, self-evaluative reactions, and intrinsic motivation.
This article suggests that students' self-regulation of learning develops from initial social modeling experiences
and progresses through increasing levels of self-directed functioning. We have described some research results
that support the importance of modeling and self-efficacy in this formulation. More research is necessary on the
role of models, as well as on the other social origins of verbal description, social guidance, and feedback. Most
of the existing research has been done outside of the regular classroom context, so work is especially needed in
actual classrooms. In this section we suggest three areas where we believe future research is needed to clarify
and refine the hypothesized operation of social origins of the development of self-regulatory competence.
Peer-Assisted Learning
Teachers commonly make use of models in the classroom, but theory and research suggest that the particular
use of models who demonstrate the cognitive skills and strategies of self-regulation is important. Research
shows that teachers who model strategies and verbalize their thought processes as they perform tasks can help
develop self-regulatory competencies (Graham & Harris, 1989a, 1989b; Palincsar & Brown, 1984; Sawyer et
al., 1992).
We advocate greater research on the role of peer-assisted learning, which takes many forms including tutoring,
mentoring, cooperative groups, peer trainers, peer counseling, peer assessment, and reciprocal teaching. We
discuss two of these: cooperative groups and peer trainers.
In cooperative groups, a small number of students work jointly on a task that is structured so that each group
member has some responsibility (Cohen, 1994). Groups typically are arranged in such a fashion that each
member is required to master the skills and the group does not proceed until the skill is mastered. That students
serve as models for one another is essential. For example, each student might work on some aspect of the task
and then explain and demonstrate the skill to other group members after he or she has mastered it. These
peer models teach skills and raise observers' self-efficacy for learning (Schunk, 1987).
Much has been written on the benefits of cooperative groups for student learning and achievement beliefs. A
wealth of research shows their effectiveness compared with more traditional forms of instruction (Johnson &
Johnson, 1985; Slavin, 1983, 1995). Less is known, however, on how the various components of cooperative
arrangements exert their effects and on the extent that groups can help develop members' self-regulatory skills.
Research is needed on the dynamics of cooperative groups as they work on tasks requiring self-regulatory
functions such as setting goals, planning and organizing tasks, monitoring and evaluating progress, and making
decisions. This type of research may require extensive naturalistic observations of groups over long periods, but
the data would provide rich information on what types of models operate best in the setting.
In using peer trainers, a teacher initially trains one or more students to demonstrate skills and how to teach these
to other students. Peer trainers have been used successfully to teach social skills, where trainers initiate social
interactions with socially withdrawn children by using verbal signals (e.g., "Let's play blocks.") and motor
responses (e.g., handing the child a toy; Strain, Kerr, & Ragland, 1981). Research is needed that broadens the
peer trainer's role to include self-regulatory skills; for example, trainers who assist other students in setting
goals, prioritizing task assignments, and monitoring progress in learning.
A second area of research we recommend is on factors affecting transfer of self-regulatory skills. Transfer
includes maintenance of skills over time and generalization across contexts and subject domains. Transfer is
important because self-regulation is involved in the academic, social, and motor skill domains.
Theory and research suggest that transfer is not automatic and that a variety of factors affect it. Factors that have
been shown to be important include possessing the requisite skill; understanding when and where the
knowledge, skills, or strategies may be useful; knowing how to modify applications of skills or strategies to fit
different settings and content; having the opportunity to practice with new material; and believing that the skill
or strategy is useful with the new content or in the new setting (Borkowski & Cavanaugh, 1979; Pressley et al.,
1990; Salomon & Perkins, 1989; Schunk, 1994).
Transfer has been an important topic in the history of learning and is addressed by many learning theories
(Schunk, 1996b). Much research has explored mechanisms of transfer including recognizing common features
between situations, linking of knowledge in memory, and understanding the value of the skill or strategy in
different contexts. We suggest that modeling and self-efficacy influence transfer, and we advocate increased
research emphasis on the transfer of self-regulatory skills.
Researchers interested in this topic might consider Phye's (1989, 1990) model for enhancing transfer. During
the acquisition phase, learners receive instruction and practice including assessment of their awareness of uses
of the strategy. The retention phase includes more practice on training materials and recall measures. The
transfer phase occurs when students attempt to solve new problems that have different surface characteristics
but that require the same strategy practiced during instruction. Phye also emphasizes the role of motivation for
transfer and ways to boost motivation by highlighting uses of knowledge and strategies to learners.
In this view, modeling is important for enhancing acquisition and motivation, and also can help provide
corrective or supplementary instruction during retention and transfer. We might investigate what features of
modeled displays are most important for transfer. Thus, verbalizing applicability of a strategy to different
situations may prove useful, as might coping statements designed to raise self-efficacy (e.g., "I think I can use
this same strategy to solve this problem. Let me think about how to apply it."). We also can determine where
transfer occurs in our levels of self-regulation; for example, are verbal descriptions adequate or do learners
require the more intensive feedback that typically occurs at the imitative level?
Teacher Control of Instruction
A third area where we recommend research concerns the extent that learners benefit from structured
experiences that include a high degree of teacher control over instruction. We suggest that social learning
experiences can be planned and organized by teachers and parents to accelerate children's self-regulatory
development. Although widespread agreement exists about the importance of self-regulatory processes in
students' learning, not everyone shares our advocacy. Gardner (1991), for example, proposed a development
learning model that parallels the type of natural, spontaneous learning that young children engage in,
particularly before they enter school. Learning is a constructive process in which children develop their own
understandings of the world based on their interactions with it by searching for, choosing, and processing
information on their own. Learning is most meaningful when it is situated within contexts. Teachers are not
conveyors of instruction but rather establish rich environments and provide for social guidance and
apprenticeships. Intrinsic motivation in learning is sustained through active participation in learning and
perceptions of progress and competence.
The approach we advocate shares many features with that Gardner (1991) espouses including the emphasis on
social guidance, apprenticeships (which use mastery models), self-perceptions of progress, and self-evaluations
of competence. At the same time, we place greater emphasis on the role of structured experiences to foster
development of self-regulatory skills. Evidence shows that self-organized learning without teacher guidance can
lead to substantial deficits in students' knowledge (Brown & Van Lehn, 1982; Weinert & Helmke, 1995).
Weinert and Helmke discuss several advantages of teacher-controlled instruction including maintaining a strong
academic focus, minimizing classroom disruptions, diagnosing and remedying academic problems, and ensur-
ing student learning progress and achievement. These authors contend that learning goals must be considered
when designing instruction. If the goal is to help students become independent thinkers (e.g., problem solvers),
then methods that encourage this should be implemented; conversely, if the goal is to ensure knowledge
acquisition and achievement (e.g., basic skills), then greater teacher control of instruction is desirable.
Additionally, situating learning within contexts is not necessarily best. How closely learning is tied to a
particular context should depend on the type of knowledge, skill, or strategy to be acquired (Anderson, Reder,
& Simon, 1996). As Anderson et at exemplify, arithmetic carrying is bound to the context of base-10 addition
and will not generalize to another base system. Conversely, reading is not as context bound. To the extent that
self-regulatory skills can be taught in different domains, we do not recommend that all learning be contextually
A social cognitive view of self-regulatory development offers several distinctive features that are important in
explaining existing evidence regarding students' academic self-regulation. First, it describes how self-regulatory
skill and a sense of self-efficacy grow out of specific social learning instructional experiences, including
modeling and socially reinforced attempts to imitate as well as self-controlled study or practice efforts. Second,
a phase model of self-regulatory development describes shifts in students' methods of learning and sources of
personal motivation. Existing developmental formulations, such as Vygotsky's theory and self-determination
theory, focus on either learning or motivation but not the interaction of these two key dimensions of self-
regulation (Bandura, 1986, in press; Pintrich & Schunk, 1996; Schunk, 1996b; Zimmerman, 1994). The ultimate
development of students' academic self-regulatory skill depends on the growing synergy between their use of
self-regulated learning processes and derived forms of self-motivation, such as perceived self-efficacy. A social
cognitive phase model provides the conceptual and empirical basis for systematically developing both the
learning processes and motivational beliefs that define self-regulated learners.
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... A common characteristic among the more efficacious participants (Teacher 3, Teacher 2, and Teacher 4) was an extended and sustained approach to personal device experimentation, despite obstacles or barriers to integration. This is supported by existing literature, which finds that a higher sense of self-efficacy is linked to motivation (Margolis & McCabe, 2006;Schunk, 1991;Schunk & Zimmerman, 1997) and persistence in learning (Schunk & Zimmerman, 1997). ...
... A common characteristic among the more efficacious participants (Teacher 3, Teacher 2, and Teacher 4) was an extended and sustained approach to personal device experimentation, despite obstacles or barriers to integration. This is supported by existing literature, which finds that a higher sense of self-efficacy is linked to motivation (Margolis & McCabe, 2006;Schunk, 1991;Schunk & Zimmerman, 1997) and persistence in learning (Schunk & Zimmerman, 1997). ...
... In the case of Teacher 1, observing the expertise of colleagues led to some anxiety. This response aligns with self-efficacy literature on modelling, which indicates that similarity in skill level is necessary to enable the individual to feel that the desired skill is within reach, otherwise the effectiveness of the modelling experience is significantly reduced (Bandura, 1994;Schunk & Meece, 2005;Schunk & Zimmerman, 1997). While much literature on modelling focuses on the observer being influenced positively through this process (Margolis & McCabe, 2003;Schunk & Pajares, 2002), the findings from this study highlight that, when the model experiences success, their own confidence may also be positively influenced, indicating the benefits of modelling may be reciprocal. ...
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As digital technologies develop and change, so do the ways these tools are integrated into classrooms. In particular, as mobile digital technologies become ubiquitous there is a need to investigate how teachers engage with these tools—both personally and professionally. Research has consistently shown that teachers’ underlying beliefs and attitudes (particularly their self-efficacy beliefs) are key elements that influence use and integration of digital technologies in the classroom. In this paper, changes to and factors influencing teachers’ mobile digital technology self-efficacy beliefs, and their subsequent classroom use of devices, are examined in the context of a one-to-one iPad mini device programme in an international school. Results indicate that all of the teacher participants reported an increase in the use of the iPad mini in the classroom, partly as a result of students’ development of collective efficacy. As well as this collective efficacy, which supported the increased use of devices, other factors supported the development of teacher self-efficacy. These included modelling and coaching from colleagues, but mastery (or actual experience) was the foremost contributor to the development of teachers’ mobile technology self-efficacy. This study revealed that allowing teachers time to experience mastery in relation to mobile technology use, and having access to expertise (both colleagues and students), were key elements in building self-efficacy for teachers over time. Perceptions of device value and device affordances were also identified as factors that fostered the development of self-efficacy and subsequent mobile device implementation and use.
... While there is no conclusive definition of self-regulation, it can broadly be described as a multidimensional and integrative domain-general construct that involves controlling, directing, and planning one's emotions, thoughts, and actions McClelland et al., 2018;Schunk & Zimmerman, 1997). Behavioral self-regulation enables children to regulate their thoughts and actions to develop more adaptive goal-directed behavior during learning and social interactions. ...
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Children's self-regulation is associated with their concurrent and long-term school achievement. Theorists have argued the importance of child–adult interactions in the development of children's self-regulatory skills. However, empirical findings are mixed and have produced small or modest effect sizes, which could be due to the low ecological validity of the self-regulation measures typically used. In this study, an adult-reported scale, the Child Self-Regulation in Interaction Scale (CSIS), was developed to measure preschoolers' behavioral self-regulation in their daily interactions with adults. The psychometric properties of CSIS were also examined. A total of 1015 children and their mothers from multiple regions in China participated in this study. Factor analysis indicated that a three-factor model (namely Inhibition, Updating, and Shifting) was the best fit for the data. The CSIS also had good internal consistency, test–retest reliability, and convergent and criterion validity. Additionally, the three-factor model showed satisfactory gender and longitudinal measurement invariance. The results suggest that the CSIS is a reliable and valid instrument. Children’s self-regulatory behaviors may vary in different contexts. A context-specific measure of self-regulation may have stronger ecological validity by tapping into context-specific behavioral demands and is thus likely to have greater value and utility.
... She also examined the impact of motivational factors on SRL. Schunk and Zimmerman (1997) in their study explore the impact of self-regulation techniques, such as self-instruction, self-monitoring, and self-evaluation, on students' achievement in various academic tasks. Winne and Hadwin (1998) conduct a meta-analysis of studies on self-regulated learning. ...
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The current trend of education has exposed learners to various ways of acquiring knowledge.
... Les enseignants soient en mesure d'identifier les obstacles et les défis potentiels de l'enseignement explicite des stratégies métacognitives, tels que le manque de temps, le manque de ressources et le manque de formation (Schunk & Zimmerman, 1997). Par conséquent, les enseignants doivent être soutenus par les responsables pédagogiques et recevoir une formation continue pour surmonter ces obstacles. ...
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This article aims to examine the importance of explicit teaching of metacognitive strategies in reading comprehension. This work is a synthesis and adaptation of English-language research dealing with the theory underlying this teaching, the benefits for students, the approaches to teach these strategies, barriers and challenges as well as practical implications for teachers and teacher trainers. The theoretical considerations presented in this article are part of the research focused on the training of trainers and the development of teaching and evaluation practices. Finally, this article provides some details on self-regulation, which is an integral part of the explicit teaching of metacognitive strategies that help students become competent and independent readers.
... The motivation to learn is the power or drive to study, explore, discover and solve problems during the learning process (Deci & Ryan, 2000). Learning motivation is a combination of internal and external factors, including desire, curiosity, confidence, attention, positive feedback, sense of control, and pride in learning (Schunk & Zimmerman, 1997). Learning motivation is defined as the combination of two factors: the value of learning and the hope for success (Pintrich, 2003). ...
This study applied self-determination theory to understand the roles of teacher’s behavioral control and care in student learning outcomes. The research explored the relationship between components of classroom management and academic performance via the mediating role of motivation to learn of students in Business English classes at Ba Ria – Vung Tau University. By applying qualitative research combined with quantitative research (mixed method), this research tested the relationship between classroom management (teacher behavioral control, teacher care), motivation to learn and academic performance. The research results indicated that teacher behavioral control and teacher care have positive relationships with motivation to learn and academic performance; motivation to learn is positively related to academic performance. In addition, motivation to learn plays a partial mediator role between classroom management and academic performance. Finally, the study proposed some implications for administrators and teachers in improving classroom management to increase the motivation to learn and the academic performance of students in Business English classes at Ba Ria – Vung Tau University.
... A similar study applied social cognitive theory to online cheating behavior to support the findings above (Wu & Chen, 2013). For a quick refresher, social cognitive theory proposes that an individual's learned behavior is not exclusively a result of personal factors but a combination of personal, environmental, and behavioral factors (Bandura, 1999;Schunk & Zimmerman, 1997 measure on whether a person decides to engage in cheating. The findings suggest that the level of security and anti-cheating programs do not deter attempts to engage in the behavior. ...
Conference Paper
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Cheating behavior is a major security threat for online gaming, ranging from a minor unfair advantage in game to completely disabling victim systems and identity theft. In this paper, we propose a social network analysis study on Steam users banned for cheating on the online platform. We will collect the identified cheater's data from a social network with a depth of n+3 and identify user descriptive characteristics that are correlated with the contagion effect of cheating behavior. These characteristics will then serve as inputs to develop a cheating probability ratio that will be tested on future user social networks.
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Video modeling is a type of observational learning that can influence stu-dents' motor skill development. The present study was designed to investigate the influence of video modeling on students' self-regulation in physical education classes. Two classes of 45 students (24 boys and 21 girls) aged 8 years were randomly assigned into two groups: the class that observed a video of an expert model performing the kick was the video modeling group; and the class that observed their teacher's performance was the live modeling group. Students were taught football skills, twice a week for four weeks. Before and after the intervention , students had to perform a kick in a soccer box. The use of self-regulation strategies during the tests was assessed through structured interview questions after performances. The statistical analysis showed that both groups developed their self-regulation abilities. The results of this study suggest that video mode-ling improves self-regulation in children and should be used by practitioners.
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Self-regulated learning contributes to students’ academic success and their future as citizens. However, self-regulation skills are seldom or poorly promoted during instruction. To address this gap, the current article reports data on the implementation of an evidence-based intervention (i.e., a narrative-based intervention called “Yellow Trials and Tribulations”) in a disadvantaged school neighborhood. Prior studies showed positive results of this intervention in promoting elementary students’ self-regulation skills. Still, the data are mainly quantitative and limited to students’ reports or classroom observations made by researchers. Hence, the current study aimed to explore the implementers’ and observers’ perceptions of the impact of the intervention. Four elementary teachers implemented the intervention in their fourth-grade classes (N = 96 students). For each session, the implementers and observers completed a session sheet collaboratively, as well as individual final reports at the end of the intervention. The records were analyzed through a direct content analysis. The data indicated a perceived increase in knowledge and the use of self-regulation skills in the educational context and in daily life routines. Moreover, the data allowed for the identification of other positive gains of the intervention. The findings extended prior research while helping researchers to further understand the impact of the narrative-based intervention. The implications for research and educational practice are provided.
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Self-regulated learning (SRL) is conceived as an active, constructive process aimed at the attainment of personal learning goals. It is considered essential for academic achievement and life-long learning. Distal and proximal social influences, among which perceived social support (PSS) has been receiving increasing attention, are thought to play a key role in the development and display of SRL. In this paper, we aim to summarize the available data on the relationship between PSS and SRL by reviewing published studies that include samples comprising students at different stages of education, ranging from elementary school to university. We conducted a systematic literature review and meta-analysis, seeking to examine the association between PSS and SRL, by considering the possible moderating effects of different support provisions and sources. In addition, we tentatively propose explanations for the relationship based on broadly supported theoretical models of PSS and SRL.
How are children's social lives at school related to their motivation to achieve and how do motivational and social processes interact to explain children's adjustment at school? This volume, first published in 1990, features work by leading researchers in educational and developmental psychology and provides perspectives on how and why children tend to thrive or fail at school. The individual chapters examine the unique roles of peers and teachers in communicating and reinforcing school-related attitudes, expectations, and definitions of self. Relations of children's school adjustment to school motivation, interpersonal functioning, and social skillfulness are also explored. The developmental and social perspectives on motivation and achievement presented in this volume provide new insights into the complex processes contributing to school success.
Adolescents' beliefs in their personal control affects their psychological well-being and the direction their lives take. Self-Efficacy in Changing Societies analyzes the diverse ways in which beliefs of personal efficacy operate within a network of sociocultural influences to shape life paths. The chapters, by internationally known experts, cover such concepts as infancy and personal agency, competency through the life span, the role of family, and cross-cultural factors.
Moving beyond the general question of effectiveness of small group learning, this conceptual review proposes conditions under which the use of small groups in classrooms can be productive. Included in the review is recent research that manipulates various features of cooperative learning as well as studies of the relationship of interaction in small groups to outcomes. The analysis develops propositions concerning the kinds of discourse that are productive of different types of learning as well as propositions concerning how desirable kinds of interaction may be fostered. Whereas limited exchange of information and explanation are adequate for routine learning in collaborative seatwork, more open exchange and elaborated discussion are necessary for conceptual learning with group tasks and ill-structured problems. Moreover, task instructions, student preparation, and the nature of the teacher role that are eminently suitable for supporting interaction in more routine learning tasks may result in unduly constraining the discussion in less structured tasks where the objective is conceptual learning. The research reviewed also suggests that it is necessary to treat problems of status within small groups engaged in group tasks with ill-structured problems. With a focus on task and interaction, the analysis attempts to move away from the debates about intrinsic and extrinsic rewards and goal and resource interdependence that have characterized research in cooperative learning.
The seminal work of Russian theorist Lev Vygotsky (1896–1934) has exerted a deep influence on psychology over the past 30 years. Vygotsky was an educator turned psychologist, and his writings clearly reflected his pedagogical concerns. For Vygotsky, schools and other informal educational situations represent the best cultural laboratories to study thinking. He emphasized the social organization of instruction, writing about the 'unique form of cooperation between the child and the adult that is the central element of the educational process'. Vygotsky's emphasis on the social context of thinking represents the reorganization of a key social system and associated modes of discourse, with potential consequences for developing new forms of thinking. This volume is devoted to analyzing Vygotsky's ideas as a means of bringing to light the relevance of his concepts to education. What does Vygotsky's approach have to offer education? Distinguished scholars from various countries and representing several disciplines discuss the essence and significance of Vygotsky's work, analyze the educational implications of his thoughts, and present applications in practice, addressing educational issues such as school organization, teacher training, educational achievement, literacy learning and development, uses of technology, community-based education, and special education.