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education
sciences
Article
Cooperative Approaches and Academic Motivation towards
Enhancing Pre-Service Teachers’Achievement
Dolors Cañabate 1, Maria Eugènia Gras 2, Teresa Serra 3and Jordi Colomer 4, *
Citation: Cañabate, D.; Gras, M.E.;
Serra, T.; Colomer, J. Cooperative
Approaches and Academic
Motivation towards Enhancing
Pre-Service Teachers’Achievement.
Educ. Sci. 2021,11, 705. https://
doi.org/10.3390/educsci11110705
Academic Editor: James Albright
Received: 27 September 2021
Accepted: 1 November 2021
Published: 3 November 2021
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1Department of Specific Didactics, University of Girona, 17004 Girona, Spain; dolors.canyabate@udg.edu
2
Department of Psychology and Quality of Life Research Institute, University of Girona, 17004 Girona, Spain;
eugenia.gras@udg.edu
3Department of Physics, University of Girona, 17003 Girona, Spain; teresa.serra@udg.edu
4Teaching Innovation Networks on Reflective and Cooperative Learning, Institute of Sciences Education,
University of Girona, 17003 Girona, Spain
*Correspondence: jordi.colomer@udg.edu
Abstract:
This paper describes a quantitative study that explores both the degree of preservice
teachers’ (PSTs) motivation and achievement, and the dimensions of need-supportive teaching,
when PSTs were involved in designing and implementing contextualized physical cooperative
challenges (CPCCs) in primary schools. The analysis was based on the PSTs’ perceptions of the
dimensions of need-supportive teaching (namely autonomy support, structure, and involvement),
and the dimensions of motivation. Need-supportive teaching was evaluated through a version
of the Teacher as a Social Context Questionnaire (TASC-Q), and motivation through a SMOTIV
motivation questionnaire. Results showed that the dimensions of the teaching process were all
positively correlated, thus, implying the importance of a teacher’s role in supporting autonomy,
providing structure, and being involved. While motivation during the in-class definition of the
CPCCs was correlated with the teachers’ involvement, the out-of-class implementation of the CPCCs
was found to correlate with the three dimensions of teaching, thus, implying that the PST students’
perceptions of developing instructional approaches in schools is mediated by the role their university
teachers play in defining and structuring all aspects of the teaching process. Students’ achievement,
on the other hand, was a process that relied on the synergies between the teachers’ involvement and
the PST student motivation during the stage when the CPCCs in the classroom environment were
defined. This interlink responds to the constructivist position adopted to implement a cooperative
approach in the university that, in turn, responds to assessing a student-centered cooperative-based
learning approach.
Keywords: need-supportive teaching; motivation; autonomy support; structure; involvement
1. Introduction
In recent decades, empirical interest in psychoeducational constructs and models,
which are considered fundamental to understanding the development of educational
functional outcomes (ability, beliefs, motivation), has grown [
1
]. One of the determining
aspects that drives university students to academic success is motivation [
2
–
5
]. Motivation
is a complex and multidimensional element that is the basis for students’ learning and
development. Thus, in the field of educational psychology, there are diverse and active
open questions, one of which is “What is the role of academic motivation in pursuing
students’ outcomes?”.
According to Woolfolk [
6
], motivation is an internal state that activates, directs,
and maintains behaviour. According to Brophy [
7
], motivation is a theoretical construct
that is used to explain the initiation, direction, intensity, and persistence of behaviour,
especially when it is oriented towards fostering students’ specific goals. Motivation is
comprised of all the factors capable of provoking, maintaining, and directing behaviour
Educ. Sci. 2021,11, 705. https://doi.org/10.3390/educsci11110705 https://www.mdpi.com/journal/education
Educ. Sci. 2021,11, 705 2 of 15
towards a goal. Motivation is also considered as the impulse that leads a student to choose
and carry out an action among those alternatives that are presented in a certain situation.
Motivation is both an objective and an action. Feeling motivated implies that students
identify themselves with the learning purpose.
McClelland [
8
] defends that motivation is the psychological process that pushes
a person to make a certain decision, to act accordingly and to repeat the action (tasks)
depending on the process and the result. Motivation is what induces a person to take some
action. In education, motivation refers to the stimulation of the will to learn. Motivation
should not be understood as a technique or a teaching method but as a factor that is always
present in all learning [
9
]. Numerous investigations have demonstrated the importance of
motivation in learning, since without motivation there is no learning [
4
,
5
,
10
,
11
]. Motivation
is a complex and multidimensional element that is at the base of students’ learning and
is the key element that drives a student to take an action in order to address or assume a
position with respect to a new situation [9].
In recent years, various investigations have been carried out on the motivation of stu-
dents in the educational domain of physical education [
12
,
13
] and particularly in primary
education institutions [
14
,
15
]. Many of these authors define motivation as a fundamen-
tal variable for the success and academic performance of tertiary students and primary
school students. Motivation depends on the level of students’ self-concept, self-esteem,
self-efficacy, and self-regulation [
11
,
16
]. The level of motivation is closely related to the
social image that the student projects, as well as the perception of oneself, which is also
regulated by students’ personal, educational, academic and professional environment.
The two motivational theories most used in recent decades to explain student academic
success are the achievement goal theory [
17
,
18
] and the self-determination theory [
19
–
21
].
These theories are not opposed or disjunctive, and the theoretical contributions of each of
them complement those of the other. The first theory [
17
,
18
] exposes that it is necessary
to highlight the personal perspective and the contextual perspective, or motivational
climates. It focuses on how individuals may adopt different types of personal goals,
either mastery or performance. The mastery orientation aims to increase the personal
competence towards the idea of increased learning, while the performance orientation
focuses on proving the acquisition of a competence in relation to the competence of others.
The second perspective focuses on the social-contextual conditions that facilitate self-
motivation and healthy psychological development. One of the factors that may enhance
motivation, self-regulation, and well-being is the creation of motivational climates that refer
to how the different goal structures of the context influence achievement in educational
settings. That is, students are more likely to be perceived as competent, and display
positive attitudes toward school-work by adopting mastery goals, selecting challenging
assignments, and making effort-based attributions of success [
19
–
21
]. As pointed out by
Ayllón et al. [
22
], the two keys to students’ performance are both the teachers’ involvement
towards defining influential and motivational climates and the students’ self-efficacy
towards students’ confidence in their ability to succeed in academic tasks.
The importance of motivational classrooms in the promotion of self-efficacy patterns
has been reported widely [
2
,
17
,
23
,
24
]. For example, elementary and secondary students
show the most positive motivation and learning patterns when their school settings em-
phasize mastery, understanding, and improving skills and knowledge, while students
may show diminishing motivation in school environments promoting competition for
grades [
25
]. Motivational classrooms are generally considered precursors to personal
performance goals and achievement [
26
], and their assessment of situation-schemas, self-
schemas, self-prime, needs, values, and situated meaning-making processes can predict
both directly and mediated personal goal orientations [3,27].
Although the classroom goal conditions (mastery, performance-approach, and com-
bined mastery/performance-approach) and the entering personal goal orientations are
complementary and mutually informative, the research that integrates the two to study
motivation in students’ learning outcomes is still under debate [
28
]. The theory of self-
Educ. Sci. 2021,11, 705 3 of 15
determination [
19
,
20
,
29
] postulates that, in the interaction with the environment, people
regulate their behaviours voluntarily, but if the environment acts in a controlling way,
the innate psychological needs (competence, autonomy, and relatedness) may be compro-
mised [
19
,
20
]. Therefore, it is important that the performance of academic tasks satisfies the
basic psychological needs through the promotion of the two distinct motivational sources,
i.e., academic self-efficacy and individual interest [
20
,
22
,
30
]. The degree to which teachers
avoid controlled study and promote the students’ need for autonomy has an important
effect on the motivation of the students, with them increasing performance and enjoying
greater well-being [31].
Ryan and Deci [
32
] explain that there are two processes, one mediated by extrinsic
motivation, where the motivational activator is external, and in which students do not feel
motivated by the nature of the task, but rather conceive it as a means to other ends. The ex-
trinsic motivation depends on what others say or do about student performance, or on
whether the students themselves tangibly gain from their learning. However, in contrast,
the intrinsic motivation is associated with internal factors that the individuals experience
while doing tasks. The task awakens interest in the students and then motivation is re-
inforced, specifically when the students begin to master the purpose of the task. That is,
it refers to the personal satisfaction that is experienced when successfully facing the task
itself. It is worth mentioning that both motivations (intrinsic and extrinsic) are continually
mixed and sometimes it is impossible to separate them.
Therefore, motivation is defined as a psychosocial parameter that largely explains
students’ academic achievement and students’ commitment to their own training [
22
].
For some authors [
20
,
29
,
33
,
34
], intrinsic motivation is the true motivation, and every teacher
should awaken/encourage students to achieve change or progress behaviour [
35
,
36
]. To be
intrinsically motivated implies assuming a problem as a personal challenge, without the
influence of having an external reward for doing it [
37
]. However, it is rather influenced
from the incentives that arise from the task itself, in its difficulty, in the challenge and/or
stimulus that it represents for the students to undertake the action, and the research
and satisfactory conclusion of the task [
38
]. Intrinsically motivated students present an
autonomous orientation, interpret the information to make choices, and self-regulate
learning towards chosen goals. Self-determination, thus, implies the need to choose how to
initiate and regulate one’s own behaviour.
Students who act with self-determination are more committed to their tasks. Self-
determination is favoured or limited by environments, relationships, and social
contexts [
19
–
21
,
33
,
34
]. Strengthening intrinsic motivation in others implies, from the
outset, a real and deep commitment of teachers to their students, their way of transmitting
learning outcomes and their way of relating to students. It is important that the students
perceive the teacher’s motivation. This may be through the teacher’s confidence and
empathy, or the teacher’s training to carry out the classes, show interest in the students,
with the teacher valuing their work, allowing them to speak and express themselves,
inducing the student to use other capacities in addition to intellectual ones, promoting
personal and professional experiences, and ensuring that they establish constructive, and
not merely informative, communication with their peers [
35
]. The teacher must start by
fostering the student’s abilities, creating a class climate where each student feels valued
and which provides the deployment of capacities so that the students learn to motivate
themselves, promoting the growth of the professional identity and the satisfaction towards
basic needs for autonomy, competence, and relatedness. For all this, the role of the teacher
is irreplaceable; the student without the teacher’s accompaniment could hardly achieve
the same ends [39].
Of special interest is how the promotion of a specific pedagogical instruction is linked
to the promotion of motivation. In educational settings, the development of motivation by
students may be also time dependent. Instruction and experimentation for PSTs occurs at
different time stages, for example. Therefore, this study is to determine how contextualized
physical cooperative challenges (CPCCs) [
40
] developed by PSTs, first in the university
Educ. Sci. 2021,11, 705 4 of 15
classrooms and then in the primary school classrooms, may be linked to motivation devel-
oped at three stages: students’ motivation during preparation, prior to the implementation
of the CPCC, the students’ motivation during the practical sessions in the schools, and the
students’ motivation during the final stage, where students reflect on the pedagogical in-
struction. Furthermore, this study also analyses teachers’ actions when providing students
with the basic needs of autonomy support, structure, and involvement, which may also be
time dependent. Therefore, in view of all these processes, this study aims to answer three
main questions:
Question 1 (Q1):
How the fostering of motivation is related to the teaching process of
providing basic psychological needs.
Question 2 (Q2): How students’ achievement is related to the teaching process of providing
basic psychological needs.
Question 3 (Q3):
How students’ achievement is related to the time development of motivation.
2. Materials and Methods
2.1. Participants
The experiment was carried out with a group of 101 PSTs who were taking the
four-year bachelor’s degree in Primary School Teacher Education (52.5%), the degree in
Pre-School Teacher Education (12.9%), or the double degree in Primary and Pre-School
Teacher Education (34.7%) at the University of Girona in Spain. Seventy-three percent of
them were women and 27% men. This experimental study was carried out during a 75-h
course in the Department of Specific Didactics at the University of Girona, Spain.
During the practical classes, held in three primary schools in the area of the University
of Girona, the PSTs were divided into thirty-five groups. The PSTs were randomly assigned
to each primary-school group, and performed the CPCCs over three days, in consecutive
weeks. The CPCCs were carried out by 128 primary school children (aged 11 and 12),
with around four students carrying out a CPCC in a cooperative oriented framework.
A written request was made to the primary-school children’s families asking for
permission to allow their children to participate in the study. The text was provided
in both Catalan and Spanish. The request complied with the principles of Regulation
(EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the
protection of children with regard to the processing of personal data and on the free
movement of such data. The study research also followed appropriate country-specific
ethical guidelines and regulations regarding research with minors, including eliciting
assent from minors, informed consent from their parents or legal guardians, and storage of
protected primary data.
2.2. Context
The CPCCs are a structured technique used in physical education that relies on
cooperative learning fundamentals [
9
,
10
]. They are carried out in small groups that demand
the participation of all the team members—a fundamental characteristic of cooperative
learning, in which peers are encouraged to develop positive interdependence, individual
accountability, promotive interaction, while promoting the acquisition of social skills
as well.
In a first stage, the PSTs came up with a cooperative activity to be implemented in the
school, with sixteen CPCCs proposed during the instruction in the classes. The number of
CPCCs were reduced to ten once the class had evaluated the challenges as a group. In a
second stage, the CPPCs were presented by the PSTs to the primary-school children in
a structured manner where the material required to carry out the challenge had already
been arranged by the PSTs in the space where the challenge was about to be developed.
All the primary-school groups were asked to complete the same challenge at the same time,
and the PSTs set the time limitations, the space used, and the proposed material to be used.
Each group of primary-school children, composed of two to three children, carried out ten
contextualized psychomotor cooperative challenges (CPCCs) in the schools, each lasting
Educ. Sci. 2021,11, 705 5 of 15
20 minutes. The primary-school children, in a consensual way, had to coordinate themselves
to complete each challenge. The students structured the CPCCs and produced a strategy to
establish co-responsibility dynamics in the learning of group members in order to achieve
a common goal [
9
,
10
]. The principles of dialogue, respect, help, cooperation, thinking in
terms of action, learning to reflect or share among the members of a group were promoted
by the PSTs. Likewise, these principles are at the core of CPCCs [9,10].
2.3. Measures
2.3.1. Need Supportive Teaching
The PSTs perception of need-supportive teaching was obtained from a version of
the Teacher as a Social Context questionnaire TASC-Q [
41
–
43
]. In our study, a version of
TASC-Q was used and consisted of 24 items on a five-point Likert scale from 1 (completely
disagree) to 5 (completely agree). TASC-Q is divided into three categories: autonomy
support, structure, and involvement. Table A1 shows the full list of these items and the
order in which they appeared in the questionnaire. As the original version of the TASC-
Q was in English, the questionnaire had to be translated into Catalan (in Appendix A).
Two native Catalan speakers carried out translation of the items and a native English
speaker then translated them back into English. No major issues were identified during
the translation process.
Table 1.
TASC-Q items, descriptive statistics (M for mean and SD for Standard Deviation) and results of PCA (Factor
Loading). In bold, the items that present significant factor loading.
Item M SD Skewness Kurtosis Factor
Loading
Factor Autonomy support. 7 items. Cronbach Alpha = 0.72
1. My teachers give me a lot of freedom in how I
organize the activities 4.25 0.62 −0.48 0.69 0.60
2. My teachers listen to my ideas 4.27 0.66 −0.35 −0.74 0.77
3. It seems like my teachers are always telling me what
activities to do 3.06 0.94 −0.19 −0.36 –
4. My teachers don’t give me much choice in how I
organize the activities 4.31 0.63 −0.34 −0.64 0.46
5. My teachers listen to my opinion 4.30 0.64 −0.36 −0.67 0.66
6. My teachers don’t explain how I can use things we
learn in the classes 4.13 0.83 −0.99 1.35 0.48
7. My teachers are always criticising how I organize
the activities 4.09 0.76 −0.43 −0.37 0.54
8. My teachers explain why what I do in classes is
important to me 4.42 0.70 −0,78 −0.59 0.32
Factor: Structure. Cronbach. 4 items. Alpha = 0.62
9. My teachers make clear what they expect of me
in class 4.00 0.81 −0.34 −0,61 0.66
10. If I can’t solve a problem, my teachers show me
the different strategies to try 3.83 0.78 −0.35 −0.10 0.37
11. Every time I do something wrong, my teachers
respond differently 3.09 0.78 0.11 −0.03 –
12. My teachers don’t tell me what they expect of me 4.03 0.71 −0.55 0.56 0.72
13. My teachers check whether I’m ready before they
start a new topic 3.92 0.64 0.07 −0.55 –
14. My teachers show me how to solve a problem 4.08 0.73 −0.75 1.87 –
Educ. Sci. 2021,11, 705 6 of 15
Table 1. Cont.
Item M SD Skewness Kurtosis Factor
Loading
15. My teachers keep changing how they respond
towards me 3.81 0.72 −0.20 −0.10 0.44
16. My teachers make sure I understand before they
move on 3.82 0.78 −0.71 1.18 –
Factor Involvement. 8 items. Cronbach Alpha = 0.80
17. My teachers know me well 3.10 0.90 −0.28 0.42 0.66
18. My teachers just don’t understand me 4.05 0.68 −0.25 −0.18 0.46
19. My teachers talk to me 4.01 0.82 −0.35 −0.64 0.49
20. I can’t count on my teachers when I need them 4.43 0.61 −0.81 1.16 0.58
21. My teachers like me 3.85 0.68 −0.57 1.96 0.71
22. My teachers dedicate time to me 3.85 0.70 0.21 −0.92 0.73
23. My teachers really care about me 3.68 0.76 0.05 −0.46 0.83
24. I can’t depend on my teachers for
important things 3.83 0.94 −0.91 1.04 0.32
2.3.2. Motivation
Motivation during the execution of the CPCCs was also considered. A question-
naire was created to measure the motivation during the phases of implementation of the
CPCCs by the PSTs in the school. Likewise, the questionnaire measures PSTs’ general
motivation during the preparatory phase (SMOTIV-in class) of the CPCCs, the execution
phase (SMOTIV-out class) of the CPCCs in the schools and the reflective phase (SMOTIV-
reflective) after implementing the instructional method. It is based on a Likert scale from
1 (completely unmotivated) to 5 (completely motivated). The SMOTIV questionnaire is
composed of 15 items. Table 2shows the list of the items. As for the TASC-Q, the questions
were written in Catalan (in Appendix A) and then translated into English by a native
English speaker. Again, no major issues were identified during the translation process.
Table 2.
SMOTIV items, descriptive statistics (M for mean and SD for Standard Deviation) and results of PCA (Factor
Loading). In bold, the items that present significant factor loading.
Item M SD Skewness Kurtosis Factor
Loading
Factor SMOTIV-in class. 6 items. Cronbach Alpha = 0.92
1. I’m motivated to know my capacities 3.84 1.13 −0.83 −0.11 0.79
2. I’m motivated to learn new learning methodologies 3.50 1.49 −0.47 −1,29 0.91
3. I’m motivated to know girls’ and boys’ reactions 3.51 1.41 −0.50 −1,09 0.82
4. I’m motivated to know how to value my practice 3.84 0.99 −0.79 0.41 0.74
5. I’m motivated to value my learning process 3.50 1.32 −0.40 −1.12 0.83
6. I’m motivated to continue training as a
future teacher 3.84 1.33 −0.69 −0.97 0.91
Factor SMOTIV-out class. 7 items Cronbach Alpha = 0.84
7. I’m motivated to know if I can overcome
the challenge 4.35 0.74 −0.81 −0.18 0.74
8. I’m motivated to know my limits 4.22 0.76 −0.53 −0.59 0.78
Educ. Sci. 2021,11, 705 7 of 15
Table 2. Cont.
Item M SD Skewness Kurtosis Factor
Loading
9. I’m motivated to know how to treat girls and
boys appropriately 4.42 0.71 −0.80 −0.61 0.80
10. I’m motivated to know if I will be able to
solve challenges 4.27 0.87 −0.92 −0.10 0.66
11. I’m motivated to know if I can overcome
the challenge 4.27 0.76 −0.63 −0.52 0.55
12. I’m motivated to carry out good teaching practice 4.36 0.69 −0.60 −0.73 0.52
13. I’m motivated to reformulate the action taken at
the school 4.30 0.74 −1.29 3.19 0.54
2.3.3. Achievement
The student achievement was the average of grades over three stages. The first stage
was done by the school-teachers based on a cooperative learning questionnaire to evaluate
the individual performance of each student in the schools during the implementation of the
CPCCs; it accounted for 30% of the total. The second one was performed by the teachers in
the university and was based on the evaluation of a reflective diary students presented at
the end of the CPCC sessions that encompassed the level of reflection; this accounted for
55% of the total. The reflective diaries were evaluated for each student using the validated
NARRA rubric [
44
]. This rubric has been found optimal for evaluating reflective diaries on
four levels of analysis: description, argumentation, reflection, and critical reflection.
Finally, the third stage, which accounted for 15% of the total, was performed by the
students themselves in a process of co-assessment between those students that participated
in the same group during the implementation of the CPCC activities in the school. The co-
assessment was carried out based on a questionnaire that was constructed by students and
teachers in the university.
2.4. Analysis
Descriptive statistics (mean, standard deviation, kurtosis, and skewness indexes) were
used to describe the data. The Kaiser–Meyer–Olkin index (KMO) was used as a measure of
sample adequacy and Bartlett’s Test of Sphericity to test if variables are suitable for factor
analysis. Principle Component Analysis (PCA) was used to know the factorial structure
of Teacher as a Social Context questionnaire (TASC-Q) and Motivation questionnaire
(SMOTIV). Pearson’s correlation was used to study the relationship between the TASC-Q
and SMOTIV factors. Finally, within subjects ANOVA was used to compare the means of
the three TASC-Q factors and the three motivation factors. All analyses were performed
using the SPSS version 27.0 statistical package.
3. Results
3.1. Teacher as a Social Context Questionnaire (TASC-Q) and Student Motivation
Questionnaire (SMOTIV)
Table A1 shows descriptives and results of Principle Component Analysis (PCA) for
the adaptation of the TASC-Q questionnaire, with the table presenting the descriptive
statistics: mean, standard deviation, skewness, and kurtosis. The Kaiser–Meyer–Olkin
analysis (KMO = 0.74) shows that the sample size is adequate while the results of the
Bartlett Test of Sphericity (X2 = 808.98; p< 0.001) shows that it is adequate to apply the
PCA to the set of data.
Following Leenknecht et al. [
43
], the 24 items from the TASC-Q questionnaire were
then subjected to three factor PCA with varimax rotation. Only 19 items were found to load
over 0.30 (Table A1) with seven items for the autonomy support factor, four items for the
structure factor, and eight items for the involvement factor. This solution explained 40.95%
Educ. Sci. 2021,11, 705 8 of 15
of the variance. The autonomy support factor explained 14.12% of the variance and had
an acceptable internal consistency, with a Cronbach Alpha of 0.72. Only four items load
over 0.30 in Structure factor with a Cronbach Alpha of 0.62. This factor explained 10.02% of
variance. All eight items loaded over 0.30 in the Involvement factor. This factor explained
16.28% of variance and had a good internal consistency. The Cronbach Alphas for each
category were sufficient for the autonomy support (0.72) and structure (0.62) factors and
good for the involvement (0.80) factor.
In relation to the autonomy support, negative skewness values indicate that PSTs think
that their teachers listen to them and that they follow-up all the work being carried out.
In addition, negative skewness of question 1 indicates that they feel free enough to organize
the activities themselves, although they then think that they do not have much choice
in how they organize the activities (with a negative skewness in question 4). Regarding
the structure, negative skewness values indicate that teachers clearly explain what it is
expected from the students. Moreover, negative skewness in question 14 indicates that in
general, there is a lack of indications of how to solve a problem. In addition, the negative
skewness value of question 16 indicates that students feel that teachers check whether they
have understood or not to move forward. In relation to involvement, negative skewness
values in questions 17–21 indicate that they feel that teachers know them well and can
count on them. However, there is a low positive value of skewness in question 22 where
students think that teachers do not care much about them.
Table 2shows the descriptives and results of PCA of the SMOTIV questionnaire.
The Kaiser–Meyer–Olkin
analysis (KMO = 0.86) shows that the size sample is also adequate
and the results of Bartlett test of Sphericity (X2 = 838.4; p< 0.001) that it is adequate to use
the PCA. The 15 items composing the SMOTIV questionnaire were then subjected to three
factors PCA with varimax rotation. Three factors had eigenvalues larger than one. These
factors explained 64.04% of variance. Factor 1, the SMOTIV-in class included six items,
and explained 32.97% of the variance and had an excellent internal consistency with a
Cronbach Alpha of 0.92 (Table 2). The factor 2, the SMOTIV-out class included seven items,
and they explained a 21.71% of variance and had a good internal consistency too, with a
Cronbach Alpha of 0.84 (Table 2). The third factor 3, the SMOTIV-reflective included only
two items, and explained a 10.37% of variance but had a poor internal consistency, with a
Cronbach Alpha of 0.56 (Table 2); therefore, this factor was discarded for the analysis of
students’ motivation.
All the questions related to motivation in Table 2present negative skewness values,
indicating that in general students feel motivated to perform the activity in and out of class.
They also feel motivated to carry out professional practice and to work with classmates.
3.2. Associations between Need-Supportive Teaching Categories, Motivation Categories
and Achievement
Correlations between the three dimensions of TASC-Q are positive and significant
(Table 3). Results of within subjects ANOVA show that there are also significant differences
between them (F = 36.83; p< 0.001,
η2
= 0.27). Contrasts showed differences between the
Autonomy support and Structure factors (F = 41.30; p< 0.001) and between Autonomy
support and Involvement factors (F = 75.99; p< 0.001) but not between the Structure and
Involvement factors (F = 1.72; p= 0.19). The TASC-Q factors significantly correlated with
SMOTIV-out class but only the Involvement factor was found to correlate with the first
factor of the Motivation questionnaire, the SMOTIV-in class (Table 3).
The within subjects ANOVA analysis shows that there were significant differences
between the two motivational factors (F = 34.64; p< 0.0001;
η2
= 0.26). Mean score in
SMOTIV-in class was significantly lower than in SMOTIV-out class (F = 42.35; p< 0.001).
The Achievement factor only correlated with the TASC-Q’ Involvement factor and with the
SMOTIV-in class factor (Table 3).
Educ. Sci. 2021,11, 705 9 of 15
Table 3.
Descriptive statistics of TASC-Q, SMOTIV factors and achievement, and Pearson correlation between the factors
under study. In bold, the correlation that are significant.
Factor Possible
Range Mean SD 1 2 3 4 5
1. Autonomy support 1–5 4.25 0.43 –
2. Structure 1–5 3.92 0.52 0.41 ** –
3. Involvement 1–5 3.85 0.49 0.50 ** 0.47 ** –
4. SMOTIV-in class 1–5 3.67 1.10 0.004 0.09 0.23 * –
5. SMOTIV-out class 1–5 4.31 0.54 0.33 ** 0.30 ** 0.44 ** 0.44 ** –
6. Achievement 0–10 7.51 0.95 0.12 0.14 0.30** 0.31 ** 0.12
*p< 0.05, ** p< 0.01.
4. Discussion
4.1. Synergistic Interplay between Motivation and Need-Supportive Teaching Dimensions
The results of this study prove that there is a significant correlation with the three
dimensions of need-supportive teaching: autonomy support, structure, and involvement.
Therefore, we have proved that there is an interdependence between the three dimensions
of need-supportive teaching while PSTs implemented, developed, and reflected on the
instructional approach. In our study, the correlations were between r = 0.41 and 0.50, which
are somewhat lower that those obtained by Leenknecht et al. [
43
], with our study focusing
on a very specific pedagogical instruction, i.e., the CPCCs, compared to the generalist study
on 24 different bachelor’s degree programs by Leenknecht et al. [43].
The synergistic relationship of autonomy support and structure has also been reported
by Sierens et al. [
45
], with a correlation of 0.67 between the perceived teacher autonomy
support and the perceived teacher structure. In our study, and considering the factor
loadings for each dimension, seven questions were relevant for the teacher autonomy
support, four questions for teacher structure, and all the initial eight for involvement.
The relevant questions for teacher structure were related to teachers showing strategies to
perform the activities, teachers expecting PST outcomes and teachers giving specific and
one-to-one feedback. This indicates that during the implementation of the CPCCs, the PSTs
indicated preference for a certain degree of structure in addition to teachers supporting
student autonomy and teacher involvement. The scores for the dimension of autonomy
support were 8.4% and 11.5% higher than for the dimensions of teachers’ structure and
involvement, respectively, indicating the preference of PSTs for a certain degree of auton-
omy support. This result is somewhat different to others where teachers’ involvement
is the most determinant dimension in relation with behavioural and emotional engage-
ment [
22
,
42
]. This might have some implications since it posits the idea that when PSTs
face a new educational instruction, they probably expect a higher degree of autonomy [
39
]
with less attention to the interpersonal approach fostering students’ engagement. In more
detail, students provided higher scores for those questions that implied supportive teacher
feedback, which is aligned with other studies reporting the link between teacher feedback
and student self-efficacy [35,46–49].
The results also proved a synergistic relationship between the two categories of
motivation, which is the PST motivation in the university classrooms and the motivation
during the implementation of the CPCCs in the schools. The PCA analysis produced six
questions for the SMOTIV-in class category and seven for the SMOTIV-out class. SMOTIV-
out class category correlated significantly with the three categories of need supportive
teaching while the SMOTIV-in class category only correlated with the teachers’ involvement
category. Therefore, our findings support the fact that during the implementation of the
CPCCs, PST motivation can be related to the teaching process of teachers providing
basic psychological needs. As reported by Lozano-Jiménez et al. [
50
], the effectiveness
in the application of an educational approach not only depends on the perception of
Educ. Sci. 2021,11, 705 10 of 15
PST autonomy support to improve PST involvement but also by the improvement of
the synergistic effects between the PST psychological needs and academic motivation.
Indeed, in our experiments, there was a synergistic effect between the academic motivation
by the PSTs during the implementation of the CPCCs in the schools. We can conclude
that motivation is then mediated by a sense of professional practice where technical and
professional skill can be fostered [
51
]. This process being exacerbated by cooperative
settings [9–11].
4.2. Students’ Achievement Depending on Teaching Providing Basic Psychological Needs and the
Time Development of Motivation
Higher levels of need support teaching have been largely associated with better PST
motivation and achievement [
52
,
53
], which relates to our findings of PST achievement
with motivation expressed during the formulation of the CPCCs by the PSTs. Furthermore,
in our experiments, PST achievement is significantly correlated with teacher-reported
involvement but not with teacher-reported autonomy support and structure. This is some-
what similar to the results by Hornstra et al. [
52
], in which high levels of teacher-reported
structure and involvement could not compensate for a lack of teacher-reported autonomy
support for students in the first year of secondary school. This is complementary to the need
of fostering together the three dimensions of need-supportive teaching to provide optimal
support to classroom-levels of behavioural, emotional, and cognitive engagement [
54
].
Evidence shows that teacher involvement together with student self-efficacy are the two
elements most strongly and positively related to achievement [
22
]. That is, students obtain
higher marks when they believe that their teachers are dependable and available to offer
resources, and when they feel capable of organizing and implementing the courses of
action necessary to acquire knowledge [22].
This study found that PST achievement is related to the CPCC design phase but
not during the later stages of implementation of the activities in the schools, nor in the
process of reflection. Achievement is linked to the initial stages of implementation of
the CPCCs, which in turn is associated to the formative assessment of the instruction.
Indeed, our results may provide support for those assumptions of perceived use of for-
mative assessment, which is associated with more feelings of autonomy and competence,
and more PST motivation [
55
] when student–teacher interactions are embedded in in-class
environments, with the perceptions of in-class teacher involvement being associated with
students’ autonomous motivation [
56
,
57
] and achievement [
52
]. All in all, these results
suggest that what is most important for PSTs is not only the specific pedagogical instruction
provided by the teachers [
12
,
13
,
58
] but the quality of student–teacher interactions mediated
by involvement.
5. Conclusions
A pre-service teacher’s definition of a cooperative-learning approach and its subse-
quent implementation in primary schools is facilitated by university teachers encouraging
autonomy and structure. Providing support for PST autonomy and establishing structure
were found to correlate with teacher involvement. Therefore, we can conclude that when
PST students are embedded in new instructional approaches that they will then implement
and test in primary schools, the beginnings of their professional identity is, thus, reinforced
by the dimensions of their teaching. This suggests that a preservice student’s professional
identity is a complex process that develops when the dimensions of need-supportive
teaching are considered equally. This study also reports that achievement was correlated
with the teacher involvement and with the motivation of the students when defining the
cooperative physical challenges. This result shows that assessment is a student-centred
process that can be mediated through the individual student motivation when developing
professional activities in primary schools.
Educ. Sci. 2021,11, 705 11 of 15
6. Limitations of the Study
This study has some limitations. The relationship between motivation and the need-
supportive teaching dimensions with each of the basic elements of cooperative learning
(positive interdependence, individual accountability, promotive interaction, social skills,
and group processing) are still to be investigated. Therefore, our analysis is lacking knowl-
edge on determining how, for example, higher levels of individual accountability or positive
interdependence provide higher levels of student motivation. All these relationships may
provide clues for the formative assessment that finally links with student achievement.
For this, it will be necessary to review the assessment criteria in the formative assessment
and create links between achievement at the different stages of the implementation of
the instructional approach. This should include knowledge of the relationship of the
out-of-class practice (in the schools) to the basic criteria of cooperative learning.
Another aspect that might be considered is the limited involvement and participation
of schoolteachers in the preparatory phase of the project. Specifically, in the design of the
CPCCs, so that the contextualization of the educational approaches would be present from
the very beginning of the project definition until its execution. Schoolteachers could provide
students with a contextual framework that is closer and adapted to the characteristics and
needs of the primary school students, making it easier for PSTs to be able to adjust both the
objectives and associated competencies of the CPCCs to the school context.
Author Contributions:
Conceptualization, D.C. and J.C.; methodology, M.E.G., D.C. and J.C.; valida-
tion, T.S. and D.C.; formal analysis, M.E.G. and J.C.; investigation, T.S. and J.C.; resources, J.C. and
D.C.; data curation, D.C., and J.C.; writing—original draft preparation, D.C. and J.C.; writing—review
and editing, J.C.; visualization, J.C. and T.S.; supervision, J.C. and T.S.; project administration, J.C.;
funding acquisition, D.C. and J.C. All authors have read and agreed to the published version of
the manuscript.
Funding:
This research was funded by the Josep Pallach Institute of Education Sciences, University
of Girona, grant number ICE-XIDAC05-2021 and ICE-XIDAR05-2021.
Institutional Review Board Statement:
The study was conducted according to the guidelines of the
Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of
the University of Girona (protocol code XIDAC-XIDAR052019 on the 11 September 2019).
Informed Consent Statement:
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement:
The data presented in this study are available on request from the
corresponding author.
Acknowledgments:
The authors are very grateful to the schools of Vedruna (in Girona), Arrels (in
Salt), and Gifra (in Sant Gregori).
Conflicts of Interest: The authors declare no conflict of interest.
Appendix A
Table A1.
TASC-Q items, descriptive statistics (M for mean and SD for Standard Deviation), and results of PCA (Factor
Loading), both in English and Catalan (in brackets). In bold, the items that present significant factor loading.
Item M SD Skewness Kurtosis Factor
Loading
Factor Autonomy support. 7 items. Cronbach Alpha = 0.72
1. My teachers give me a lot of freedom in how I
organize the activities
[Els professors em donen molta llibertat per
organitzar activitats]
4.25 0.62 −0.48 0.69 0.60
Educ. Sci. 2021,11, 705 12 of 15
Table A1. Cont.
Item M SD Skewness Kurtosis Factor
Loading
2. My teachers listen to my ideas
[Els professors escolten les meves idees] 4.27 0.66 −0.35 −0.74 0.77
3. It seems like my teachers are always telling me what
activities to do
[Sembla que els professors sempre diuen quines
activitats he de realitar]
3.06 0.94 −0.19 −0.36 –
4. My teachers don’t give me much choice in how I
organize the activities
[Els professors no em donen moltes opcions en com
organitzar les activitats]
4.31 0.63 −0.34 −0.64 0.46
5. My teachers listen to my opinion
[Els professors escolten la meva opinió]4.30 0.64 −0.36 −0.67 0.66
6. My teachers don’t explain how I can use things we
learn in the classes
[Els professors no expliquen com utilitzar el que
aprenc a les classes]
4.13 0.83 −0.99 1.35 0.48
7. My teachers are always criticising how I organize
the activities
[Els professors sempre critiquen com organitzo
les activitats]
4.09 0.76 −0.43 −0.37 0.54
8. My teachers explain why what I do in classes is
important to me
[Els professors m’expliquen perquèel que faig a les
classes és important per a mi]
4.42 0.70 −0,78 −0.59 0.32
Factor: Structure. Cronbach. 4 items. Alpha = 0.62
9. My teachers make clear what they expect of me
in class
[Els professors deixen clar el que esperen de mi
a classe]
4.00 0.81 −0.34 −0.61 0.66
10. If I can’t solve a problem, my teachers show me
the different strategies to try
[Si no séresoldre un problema, els professors
m’ensenyen diferents estratègies per intentar-ho]
3.83 0.78 −0.35 −0.10 0.37
11. Every time I do something wrong, my teachers
respond differently
[Cada vegada que faig alguna cosa errònia, els
professors responen de manera diferent]
3.09 0.78 0.11 −0.03 –
12. My teachers don’t tell me what they expect of me
[Els professors no m’expliquen el que esperen de mi] 4.03 0.71 −0.55 0.56 0.72
13. My teachers check whether I’m ready before they
start a new topic
[Els professors analitzen si estic preparat abans de
començar un nou tema]
3.92 0.64 0.07 −0.55 –
14. My teachers show me how to solve a problem
[Els professors m’ensenyen com resoldre un problema] 4.08 0.73 −0.75 1.87 –
15. My teachers keep changing how they respond
towards me
[Els professors canvien la manera d’adreçar-se a mi]
3.81 0.72 −0.20 −0.10 0.44
Educ. Sci. 2021,11, 705 13 of 15
Table A1. Cont.
Item M SD Skewness Kurtosis Factor
Loading
16. My teachers make sure I understand before they
move on
[Els professors s’asseguren que entenc un tema abans
de continuar]
3.82 0.78 −0.71 1.18 –
Factor Involvement. 8 items. Cronbach Alpha = 0.80
17. My teachers know me well
[Els professors em coneixen bé]3.10 0.90 −0.28 0.42 0.66
18. My teachers just don’t understand me
[Els professors, simplement, no m’entenen] 4.05 0.68 −0.25 −0.18 0.46
19. My teachers talk to me
[Els professors parlen amb mi] 4.01 0.82 −0.35 −0.64 0.49
20. I can’t count on my teachers when I need them
[No puc confiar amb els professors quan els necessito] 4.43 0.61 −0.81 1.16 0.58
21. My teachers like me
[Agrado als professors] 3.85 0.68 −0.57 1.96 0.71
22. My teachers dedicate time to me
[Els professors em dediquen temps] 3.85 0.70 0.21 −0.92 0.73
23. My teachers really care about me
[Els professors es preocupen per mi] 3.68 0.76 0.05 −0.46 0.83
24. I can’t depend on my teachers for
important things
[No puc dependre dels professors en
questions importants]
3.83 0.94 −0.91 1.04 0.32
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