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Abstract

Whilst many definitions of formative assessment have been offered, there is no clear rationale to define and delimit it within broader theories of pedagogy. This paper aims to offer such a rationale, within a framework which can also unify the diverse set of practices which have been described as formative. The analysis is used to relate formative assessment both to other pedagogic initiatives, notably cognitive acceleration and dynamic assessment, and to some of the existing literature on models of self-regulated learning and on classroom discourse. This framework should indicate potentially fruitful lines for further enquiry, whilst at the same time opening up new ways of helping teachers to implement formative practices more effectively.
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Developing the theory of formative assessment
Paul Black, King’s College London,
and
Dylan Wiliam, Institute of Education, University of London
To appear in Educational Assessment, Evaluation and Accountability (formerly the Journal of
Personnel Evaluation in Education), 1(1) (2009).
Abstract
Whilst many definitions of formative assessment have been offered, there is no
clear rationale to define and delimit it within broader theories of pedagogy. This
paper aims to offer such a rationale, within a framework which can also unify the
diverse set of practices which have been described as formative. The analysis is
used to relate formative assessment both to other pedagogic initiatives, notably
cognitive acceleration and dynamic assessment, and to some of the existing
literature on models of self-regulated learning and on classroom discourse. This
framework should indicate potentially fruitful lines for further enquiry, whilst at
the same time opening up new ways of helping teachers to implement formative
practices more effectively.
1. Introduction
The purpose of this paper is to develop the theory of formative assessment beyond the stage
reached in our earlier writing, drawing on a variety of sources in the literature that have
addressed this issue, whether directly or obliquely. Our earliest work on formative assessment
(Black & Wiliam 1998a; 1998b) did not start from any pre-defined theoretical base but
instead drew together a wide range of research findings relevant to the notion of formative
assessment. Work with teachers to explore the practical applications of lessons distilled
therefrom (Black et al., 2002; 2003) led to a set of advisory practices that were presented on a
pragmatic basis, with a nascent but only vaguely outlined underlying unity. So our first aim
in this paper is to provide a unifying basis for the diverse practices which are said to be
formative.
Subsequently, (Black & Wiliam, 2006) we explored the changes that occurred in the
classrooms of teachers developing formative assessment, and proposed a theoretical frame for
the study of such classrooms. However, this theoretical frame was grounded in the data
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collected from classroom observations and interviews with teachers, and no systematic
attempt was made to connect these data to work on such topics as classroom practice, or the
regulation of learning. Other recent work has focused on aspects of implementation, notably
on effecting change with communities of teachers (Wiliam, 2007) and on problems of
superficial adoption (Black, 2007), whilst both the book by Black et al. (2003) and the studies
of the project on “Learning how to learn” (James et al., 2007) have discussed the learning
practice underlying formative practices
In the conclusion of our 2006 article, we raised the wider issue of the role of formative
assessment:
Thus, whilst we cannot argue that development of formative assessment is the only way, or even
the best way, to open up a broader range of desirable changes in classroom learning, we can see
that it may be peculiarly effective, in part because the quality of interactive feedback is a critical
feature in determining the quality of learning activity, and is therefore a central feature of
pedagogy. (p.100)
This introduces our second aim in this paper, which is to locate formative interactions within
more comprehensive theories of pedagogy.
Perrenoud (1998), commenting on our 1998 review, further emphasised the need to place any
treatment in a broader context of studies of formative assessment:
This [feedback] no longer seems to me, however, to be the central issue. It would seem more
important to concentrate on the theoretical models of learning and its regulation and their
implementation. These constitute the real systems of thought and action, in which feedback is only
one element. (p. 86)
This expanded the agenda, for the issues that it raised require that a wider range of theories be
considered, so that the concept of formative interaction may be enriched and contextualised
in the light of relevant theories. This task of linking our analysis to other theoretical writing
about learning interactions will be our third aim.
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Finally, the argument must return to its starting point in the classroom practices of formative
assessment, so we shall consider, as a fourth aim, how our findings, and any further
theoretical reflection, might suggests ways to extend and/or improve those practices.
Our analysis will be exploratory rather than definitive: its main value might be to guide
development of further enquiries, so our fifth aim will be to offer suggestion about such
enquiries.
In what follows, we shall first set out in section 2 a summary of recent work that addresses
our first aim. Then in section 3 we shall suggest a general model of teacher-learner
interactions that will set the scene for consideration, in section 4, of how teachers might
interpret the responses of learners. The next step is to consider how teachers might frame and
steer their feedback to any responses. This is discussed at two levels. In section 5 we discuss
the strategic level, i.e. how the formulation of feedback is guided by the teacher’s broader
pedagogical orientation. In section 6 we then discuss the tactical level, looking at the fine-
grain of types of response and the lessons learned from studies of classroom discourse.
There is not a one-to-one match between these sections and our five aims. We shall examine
within each section how it contributes to particular aims. This will be the basis for section 7
which will present our overview of the extent to which our treatment has met our aims.
2 A unifying basis
The purpose of this section is to draw together ideas developed in several earlier publications
in order to serve our first aim of helping to provide a unifying basis for the diverse practices
that are said to be formative.
Early work on formative assessment centred on five main types of activity, suggested by
evidence of their potential effectiveness, and developed with and by teachers in normal
classroom work (Wiliam, 2000, Black et al., 2003; Wiliam, 2007):
Sharing success criteria with learners
Classroom questioning
Comment-only marking
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Peer- and self-assessment
Formative use of summative tests
However, whilst each of these five broad headings appeared to be connected to the central
idea of formative assessment, precisely how they are so connected was not clearly articulated.
Furthermore, the lack of a theoretical foundation raised questions about whether these five
collectively exhaust the domain of formative assessment practice.
In order to provide a better theoretical grounding for formative assessment, Wiliam and
Thompson (2007) drew on Ramaprasad’s (1983) three key processes in learning and teaching:
Establishing where the learners are in their learning
Establishing where they are going
Establishing what needs to be done to get them there
Traditionally, the teacher has been regarded as responsible for each of these three, but it is
also necessary to take account of the role that the learners themselves, and their peers, play in
them. The teacher is responsible for designing and implementing an effective learning
environment, and the learner is responsible for the learning within that environment.
Furthermore, since the responsibility for learning rests with both the teacher and the learner, it
is incumbent on each to do all they can to mitigate the impact of any failures of the other (in
the language of partnership law, teachers and learners are jointly and severally liable!).
Crossing the three processes with the different agents (teacher, peer, learner) suggests the
framework shown in figure 1 (from Wiliam & Thompson, 2007), indicating that formative
assessment can be conceptualized as consisting of five key strategies:
1. clarifying and sharing learning intentions and criteria for success1;
2. engineering effective classroom discussions and other learning tasks that elicit
evidence of student understanding;
1 The importance of “success criteria” and “learning intentions” was emphasised by Clarke
(2001).
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3. providing feedback that moves learners forward;
4. activating students as instructional resources for one another; and
5. activating students as the owners of their own learning.
Where the learner is going Where the learner is right now How to get there
Teacher 1 Clarifying learning
intentions and criteria for
success
2 Engineering effective class-
room discussions and other
learning tasks that elicit
evidence of student
understanding
3 Providing feedback that
moves learners forward
Peer
Understanding and sharing
learning intentions and
criteria for success
4 Activating students as instructional resources for one another
Learner
Understanding learning
intentions and criteria for
success
5 Activating students as the owners of their own learning
Figure 1: Aspects of formative assessment
The five types of activity that we had identified earlier as our starting point for our work on
formative assessment can therefore be seen as means of enacting these key five strategies.
Classroom questioning is merely one way of implementing the second, and comment-only
marking is a particular way that teachers might achieve the third. Similarly, peer- and self-
assessment are activities that might be used to pursue the fourth and fifth respectively. These
are particularly relevant to the development of students’ own capacity to learn how to learn
and to learner autonomy (Black et al. 2006).
The last of the original types of activity—formative use of summative tests—is more
complex. Summative tests (or more properly, tests designed primarily to serve a summative
function) provide ways of eliciting evidence of student achievement, and used appropriately,
can prompt feedback that moves learning forward. These can also communicate to learners
what is and is not valued in a particular discipline, thus communicating criteria for success.
Where this has been done, it opens up the possibility of students helping one another, and
using the tests as a guide to planning their own revision (Black et al. 2003, Chapter 4).
Wiliam (2007) gives an extended account of this formulation. It serves to make much clearer
the links between the five formative assessment strategies identified in the framework. The
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first three will be subject of detailed discussion later in this paper. For the fourth, activating
students as instructional resources for one another links to work on collaborative learning
(Slavin et al., 2003) and reciprocal teaching (Brown & Campione, 1996). Finally activating
students as owners of their own learning brings in metacognition (Hacker et al. 1998),
motivation (Ryan & Deci, 2000), interest (Hidi & Harackiewicz, 2000), and attribution
(Dweck, 2000) as well as self-assessment. Such expansions represent ways in which the
understanding of these activities has evolved as they have been implemented, and evaluated,
more widely. One outcome of such evolution has been to move from a mere list of activities,
with the dangers that this carries of superficial adoption, to a linking of these within a
coherent rationale.
In our first formulation of a theory of formative assessment (Black & Wiliam, 2006), we
focused more directly on issues that had been salient in our earlier work (Black et al., 2003;
Wiliam et al., 2004). For the purpose of analysing the processes of change involved in such
development, we adopted a framework derived from cultural historical activity theory. That
framework helped in the identification of four main themes for discussion, namely:
Teachers, learners, and the subject discipline;
The teacher’s role and the regulation of learning;
Feedback and the student-teacher interaction discussed in terms of levels of feedback,
the fine-grain of feedback and differentiation;
The student’s role in learning.
In what follows we shall be dealing in more detail with the second and third of these. We
shall also refer to some aspects of the other two, but a fuller treatment of these is beyond our
present scope.
3 Formative assessment, communication and contingency
The purpose of this section is to present a general overview of formative interactions which
will lay the basis for meeting all of our five aims rather than serve any one of them directly.
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We start by re-stating our definition of formative assessment, drawing both on our earlier
definitions (Black & Wiliam, 1998b) and the definition of the Assessment Reform Group
(ARG, 2002), in terms slightly different from, but consistent with both:
Practice in a classroom is formative to the extent that evidence about student achievement is
elicited, interpreted, and used by teachers, learners, or their peers, to make decisions about the next
steps in instruction that are likely to be better, or better founded, than the decisions they would
have taken in the absence of the evidence that was elicited.
Several features of this definition require elucidation.
The first is the use of the term “instruction”. In much of the English-speaking world, this term
has a connotation of training, or of didactic approaches to teaching. However, in American
English, the term “instruction” means the combination of teaching and learning, and it is this
latter sense that we intend here. In this definition “instruction” refers to any activity that is
intended to create learning2. The alternative term pedagogy also has drawbacks in suggesting
a more narrow approach to the practice of teaching (e.g. it would seem odd to refer to
students as ‘pedagogical resources for each other’).
The second is the focus on decisions. We could locate the focus of the definition on the
intentions, of those involved in instruction, in collecting the evidence, but that would mean
that a situation in which evidence was collected, but not used would be formative, which
would be unfortunate. Another possibility would be to focus on the resulting action: to
require that the evidence be used to make instructional adjustments that actually improved
learning beyond what would have happened without those adjustments. This, however, is too
stringent : given the unpredictability of learning, actions that would appear to be the most
likely to produce learning might not do so in a particular situation. An additional problem
with such an approach is that it would, in effect, be impossible in practice to establish
whether a particular assessment was indeed formative, since it would involve establishing a
counter-factual claim: that what actually happened was different (and better than) what would
otherwise have happened (but did not do so). The probabilistic formulation (that the decisions
2 For those who believe that this merely moves the burden of definition onto the word
“learning” we would define learning as an increase, brought about by experience, in the
capacities of an organism to react in valued ways in response to stimuli.
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are likely to be better) also reflects the fact that even the best designed interventions will not
always result in better learning for all students.
The third feature of the definition concerns the agent of the assessment. While it is clear that
in many cases, the decisions will be made by the teacher, the definition also include peers, or
the individual learner, as agents in making such decisions.
The fourth feature is the requirement that decisions are either better or better founded, than
decisions made without the evidence elicited as part of the formative process. The second
possibility is included because the formative assessment might, for example, indicate to the
teacher that the best course of action is that which the teacher had intended prior to the
elicitation of evidence. In this case, formative assessment would not change the course of
action, but it would mean that it was better grounded in evidence.
From the definition, it is clear that formative assessment is concerned with the creation of,
and capitalization upon, ‘moments of contingency’ in instruction for the purpose of the
regulation of learning processes. This might seem to be a very narrow focus, but it helps to
distinguish a theory of formative assessment from an overall theory of teaching and learning.
However, whilst this focus is narrow, its impact is broad, since how teachers, learners, and
their peers create and capitalize on these moments of contingency entails considerations of
instructional design, curriculum, pedagogy, psychology and epistemology.
These moments of contingency can be synchronous or asynchronous. Examples of
synchronous moments include teachers’ ‘real-time’ adjustments during one-on-one teaching
or whole class discussion. Asynchronous examples include teachers' feedback through
grading practices, and the use of evidence derived from homework, or from students’ own
summaries made at the end of a lesson (e.g. ‘exit passes’), to plan a subsequent lesson. They
might also include responses to work from the students from whom the data were collected,
or from other students, or insights learned from the previous lesson or from a previous year.
The responses of teachers can be one-to-one or group-based; responses to a student’s written
work is usually one-on-one, but in classroom discussions, the feedback will be in relation to
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the needs of the subject-classroom as a whole, and may be an immediate intervention in the
flow of classroom discussion, or a decision about how to begin the next lesson.
A formative interaction is one in which an interactive situation influences cognition, i.e., it is
an interaction between external stimulus and feedback, and internal production by the
individual learner. This involves looking at the three aspects, the external, the internal and
their interactions. Figure 2 below serves to illustrate the sequence of the argument. The
teacher addresses to the learner a task, perhaps in the form of a question, the learner responds
to this, and the teacher then composes a further intervention, in the light of that response.
This basic structure has been described as initiation-response-evaluation or I-R-E (Mehan,
1979), but this structure could represent either a genuinely dialogical process, or one in which
students are relegated to a supporting role.
Figure 2: The three interacting domains of pedagogy
Frequently, the teacher’s use of the I-R-E format involves the teacher asking students to
supply missing words or phrases in the teacher’s exposition of the material – a form of
extended ‘cloze’ procedure. During such interaction, the teacher’s attention is focused on the
correctness of the student’s response – what Davis (1998) terms “evaluative listening”, and
subsequent teacher ‘moves’ are aimed at getting the student to make a correct response,
through such encouraging responses as, “Almost” or “Nearly”. There is ample evidence that
9
Teacher
Controller
Or
Conductor
Learners
Passive
Or
Involved
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this form of interaction is the norm in most classrooms (Applebee et al., 2003; Hardman, et
al., 2003; Smith et al., 2004).
The model is meant to apply to more than one-on-one tutoring ( which Bloom,1984, regarded
as the most effective model of instruction) : the coloured area in the centre stands for the
classroom where many learners are involved, through hearing the exchange, perhaps by
joining in, so there would be many arrows in all directions in this area. This aspect will
feature in our later sections.
The process represented in Figure 2 may be decomposed into several steps: one step is the
teacher’s interpretation of the pupils’ responses - this will be discussed in section 4. The next
is to decide on the best response: such decision is first of all a strategic one, in that it can only
be taken in the light of the overall purpose for which the original task was designed: this will
be discussed in section 5. There is then a tactical decision: how to formulate the detail of the
response to best serve the overall strategy: this will be discussed in section 6.
4. Models for interpretation of the learner’s responses
In relation to our five aims, this section will explore connections between formative work and
theoretical writing about pupils’ learning (out third aim). This will provide a basis for
exploring ways of improving practice (our fourth aim).
In a formative mode the teacher’s initial prompt is designed to encourage more thought, the
learner is more actively involved, and the teacher’s work is far less predictable: formative
interaction is contingent. In such a mode, the teacher’s attention is focused on what she or he
can learn about the student’s thinking from their response – what Davis (1998) terms
“interpretive listening”. However, what the learner actually hears and interprets is not
necessarily what the teacher intended to convey, and what the teacher hears and interprets is
not necessarily what the student intended to convey: the broken arrows in figure 2 emphasise
this. In a genuinely dialogic process, the teacher’s own thinking may come to be modified
through the exchange – what Davis terms “hermeneutic listening”.
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The need for a model
Van Lier proposed a model similar to that illustrated in fig.2. In discussing the learner’s
thinking he used the term ‘internal contingency’, but did not pursue his analysis beyond
commenting on the rich variety of any learner’s mental life and the notorious difficulty of
teasing apart the linguistic from the mental, stating that:
From the perspective of contingency it is sufficient to say that speakers, in their use, give evidence
of the mental life behind their utterances, by using words such as ‘I believe that . . ‘,’ ‘it’s like x,’
‘that reminds me of . . .’ as well as in a myriad of more covert and subtle ways. (van Lier 1996,
p.174)
Perrenoud, in his response to our 1998 review, identified the same problem as follows:
Without a theoretical model of the mediations through which an interactive situation influences
cognition, and in particular the learning process, we can observe thousands of situations without
being able to draw any conclusions. (p.95)
Yet insofar as the teacher’s focus is on intervention to regulate the learning activity, any
intervention has to involve:
. . . .an incursion into the representation and thought processes of the pupil to accelerate a
breakthrough in understanding a new point of view or the shaping of a notion which can
immediately become operative. (p.97)
The challenge presented here also becomes evident in other analyses. Sadler (1989) in
describing learning as the activity of closing the gap between a learner’s present state and the
state implied by the learning aim, links this to meta-cognition and talks of this work taking
place “in the act of production” of feedback: that phrase opens up the question of what
exactly might be happening in this act of production. In a later discussion (1998) that
describes the resources that a teacher brings to formative interactions, he points out that:
Teachers bring evaluative skill or expertise in having made judgments about student efforts on
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similar tasks in the past. […] In non-convergent learning environments, this automatically exposes
teachers to a wide variety of ways in which students approach problem solving, and how they
argue, evaluate, create, analyse and synthesise. (p. 81)
There is a formidable problem for teachers, since their feedback needs to be constructed in
the light of some insight into the mental life that lies behind the student’s utterances. Indeed,
as we have noted elsewhere (Black et al., 2002), it was surprising to us how many teachers
had functioned reasonably effectively in the classroom for many years, and were widely
regarded as good teachers without having developed such insights:
One of the most surprising things that happened during the early inset sessions was that the
participating teachers asked us to run a session on the psychology of learning. In retrospect,
perhaps, we should not have been so surprised. We had, after all, stressed that feedback functioned
formatively only if the information fed back to the learner was used by the learner in improving
performance. But whilst one can work out after the event whether or not any feedback has had the
desired effect, what the teachers needed was to be able to give their pupils feedback that they knew
in advance was going to be useful. To do that they needed to build up models of how pupils learn.
(p. 14)
The validity of such models will be a necessary, but not sufficient, condition for the
effectiveness of the feedback. So our next step is to consider whether any models of the inner
mental life can help secure such validity.
The self-regulated learning model
To meet Perrenoud’s requirement for “theoretical models of the mediation”, we consider
theories that come under the general description of self-regulated learning (SRL). A general
review of this field (Boekaerts et al., 2005) defines the term as follows:
Self-regulation can be defined as a multi-component, multi-level, iterative self-steering process
that target’s one’s own cognitions, affects and action, as well as features of the environment for
modulation in the service of one’s goals. (p.150)
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In a more detailed review of SRL in education, Boekaerts and Corno (2005) identify three
main processes. The first, described as top-down SR, has a focus on learning. Here the student
pursues the purpose of achieving learning goals that increase resources, i.e. knowledge and
both cognitive and social skills. The process is motivated and steered by personal interest,
values, and expected satisfaction and rewards, and may be characterised as the growth3
option. However, it may not be adopted: the student may seek competitive performance goals
or prioritise friendship with peers, which a focus on learning goals may put at risk, choosing
instead an alternative process, described as bottom-up SR. This may be triggered by some
types of classroom feedback and reward, or merely by boredom. When cues from the
environment have this effect, this second option is adopted – that of giving priority to well-
being:
A search for well-being implies that students are more concerned with maintaining or restoring
positive feelings than with the pursuit of growth goals. (p.204)
However, whilst the threats to well-being may lead to such negative effects as aggression,
withholding effort, avoidance, or denial, they may also be met with such positive strategies as
seeking social support or calling on problem solving strategies previously learnt.
Boekaerts and Corno see SRL as a process of adopting one or other of the growth track and
the well-being track, with the possibility of switching to and fro between the two en route.
They draw on findings of Vermeer et al. (1989) who:
… also found that students’ willingness to maintain learning intentions and persist in the face of
difficulty depends on their awareness of and access to volitional strategies (metacognitive
knowledge to interpret strategy failure and knowledge of how to buckle down to work). p. 206
Other features relevant to this third element of volitional strategies are helplessness, and
failures of emotional control. Thus it is important to help students to acquire positive
3 Boekearts & Corno use two terms, growth and mastery, with both, apparently
interchangeable, to stand for a focus on learning achievement; we have preferred the first of
these here because mastery denotes a sense of completion whereas growth does not.
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volitional strategies so that they are not pulled off the growth track onto the well-being track.
Boekearts and Corno analyse the relevance of their model to several innovations in classroom
work, grouped under cognitive behaviour modification, direct teaching of skills and
strategies, and those that take a socio-cultural approach. Here the account draws on some of
the literature mentioned in section 1 and which is discussed further in sections 5 and 6. Their
account does not present an explicit model, i.e., it does not offer any direct help with the task
of interpreting a response, in terms that could provide guidance for the teacher on how
appropriate feedback may be formulated. However. in discussing top-down SR, they do refer
to the model of Winne and Hadwin (1998) stating that it:
… specified the recursively applied forms of metacognitive monitoring and feedback that change
information over time (thus influencing goals) as self-regulated learners engage in an assignment.
(p. 203)
This model, which owes its origin to information processing theory, was further developed
Greene and Azevedo’s (2007) review of more recent SRL studies. Its main features, in form
simplified here in order bring out features particularly relevant to the present argument, may
be represented as follows:
1 Identify task A Conditions (of learner and context)
2 Planning a response B Operations to transform input and own data
3 Enacting a strategy C Standards: criteria for self-appraisal
4 Adapting: reviewing perhaps re-cycling D Evaluation
The model combines two kinds of influences: the left hand column represents the stages 1 to
4 of the production of a response, whilst the right-hand column represents the various
resources, A, B, C or D, which might be brought to bear during these stages. Central to the
model is the learner’s overall control and monitoring function which steers both progress
through the stages of production, and the ways in which the resources are deployed – each of
1, 2, 3 and 4 could be associated with any or all of A, B, C, D. There is no implication that
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these various elements will necessarily be conscious, and all are internal.
Feature A, the Conditions, is a broad category comprising the resources available to a person
and the constraints inherent in a task or environment. Included are first of all cognitive
conditions – past experiences recalled, beliefs, dispositions, motivation, and knowledge of the
domain, of the current task and of relevant tactics and strategies. Secondly, there are task
conditions, including resources, time, instructional cues and local context—all external to the
person. It follows that Conditions influence both the Operations and the Standards that the
learner will deploy.
One Condition of particular relevance is the quality of the learners’ domain knowledge (and
in particular whether it is superficial or deep), which is linked with their personal
epistemology. These factors help frame the perception of the task, the precise identification
of which is the work done in the first phase of response.
The perspectives formulated at the outset will be transformed in each phase by the
Operations: these include the searching, assembling, rehearsing and translating processes.
Both the ease with which the student can perform these, and the memory capacity on which
they draw, are limiting factors here. It is a feature of the model that it is assumed that meta-
cognition is not involved in these operations.
Metacognitive faculties are associated with the monitoring and control functions that are
exercised through the cognitive Evaluations, the latter being formulated in the light of the
Standards. Many different features may come into play at this stage. The learner’s Standards
will depend in part on their interpretation of the task, on their perception of the criteria and
targets for success, on their personal orientation towards the task, and on their view of the
time constraints.
For any phase, the overall control and monitoring function may lead to the work being re-
cycled, either after the phase itself, or after evaluation of another phase. A learner may revise
her/his definition of the task because of a judgment, made in the light of difficulty in phase 3,
that it may take too much time, or because the challenge of the original definition implied a
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high risk of failure, and so start afresh with a revised task definition. On the other hand, if
(say) the outcome of phases 1 and 2 is incompetent, but is not perceived as such, then the
performance outcome of phase 3 will proceed: if the result then seems to be inadequate, the
learner may Adapt, i.e., undertake a more comprehensively re-cycling, changing both the
Task Identification and the choice of Operation to enact a very different strategy. Such
examples will suffice to indicate that multiple and varied cycles may ensue before an
outcome is produced.
Two practical examples may illustrate the issues involved. In the first, a teacher says to a six-
year-old drawing a picture of a daffodil: “What is this flower called?” The child answers: “I
think it’s called Betty” (Fisher, 1995). The child has identified the task in terms of her
understanding of the term “called”; her standard for a satisfactory answer is that of everyday
talk, not that of a learning discourse in which the distinction between proper and generic
names is essential. If the teacher sees the response in this way, feedback may be composed to
open up discussion on various meanings of the phrase “is called”. In the second example
(Lighthall, 1988) a teacher introducing the topic of infinity asks students to say what the term
might mean to them. The first to respond is a student, who has such serious behaviour
problems that he is having special counselling, saying “I think it’s the back of a Cream of
Wheat box” to which the teacher responds “Don’t be silly Billy”. In later discussion with the
counsellor, Billy explained that he had noticed at breakfast that on the back of the box of the
Cream of Wheat cereal there was a picture of a man holding this same box, and this picture
showed a man holding the same box, and so on. In this example, the student identified the
task very accurately, and drew on various resources, including his breakfast experience, to
formulate an answer. He was trying to engage because he wanted to overcome past
tendencies to misbehave. His criterion for what would count as an adequately clear answer
was inadequate, but the real difficulty lay with the teacher’s failure to consider that the
answer might be valid and so to ask for more explanation.
Both these examples illustrate the teacher’s problem: on receipt of a response, she has to
decide how the student came to make it. Examples of interpretations could be: the student
mis-understood a specific feature of the question, or the student has no idea of the sort of
answers that are called for, as in the case of the ‘name’ of the flower. The student may have
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been using some other inadequate growth strategy, such as working with a mis-conception, or
may have been using a well-being strategy, which seems to have been the teacher’s
(incorrect) interpretation of Billy’s response. Given an interpretation, the teacher has to act on
it, and there are choices here even within any one interpretation e.g., whether to try to point
out a perceived flaw in an argument, or to open up an exploratory discussion to develop the
reasoning deployed in arguments of this kind, or to work on the student’s resources, e.g., by
inviting exploration of various uses of the phrase ‘is called’. Here the accounts of the Winne
and Hadwin model fall short – they seem to assume the context of students working on their
own and relying only on assessing themselves: the teacher was not mentioned in the original
model. Greene and Azvedo partly repair this omission, but the studies that they quote do not
pick out work on classroom discourse and do not consider the dynamics of a succession of
feedback interventions by the teacher. What the model does underline is that self-assessment
is inevitably deployed by learners before any outcome ensues, so the issue is not to initiate
self-assessment but to make it more overt as a step to improvement.
It would seem possible to incorporate Boekearts and Corno’s three elements, the processes of
growth in learnng and of well-being, and the volitional strategies, in this model, for they are
Conditions, seen as resources, whilst the choice between a growth and a well-being approach
is entailed when proceeding from identifying the task to planning a response. In a response to
their review, Winne (2005) expresses the view that all three elements are cognitive strategies,
e.g. the learner has to recall past experiences and available resources in deciding which
process to adopt, and this is cognitive action, albeit coloured by emotions. An exploration of
this argument would go beyond our present purpose: for this purpose, the issue is whether the
model can serve as a guide to teachers’ contingent actions.
Practical guidance?
In formulating effective feedback the teacher has to make decisions on numerous occasions,
often with little time for reflective analysis before making a commitment. The two steps
involved, the diagnostic in interpreting the student contribution in terms of what it reveals
about the student’s thinking and motivation, and the prognostic in choosing the optimum
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response: both involve complex decisions, often to be taken with only a few seconds
available.
The practical question then is whether the model explored above can give guidance on how
formative feedback should be constructed. For example, it can be argued that the detail in the
SRL model brings out that an imperfect output may be evidence of a number of different
problems. For example, some possibilities are that the learner:
has misunderstood the language used, e.g. is baffled by a ‘why’ question because of failure
to understand the meaning of ‘why’;
has misunderstood the whole purpose and context, e.g. assuming that maths is about
getting the algorithm right, that all maths problems have one and only one solution, or that
history is about telling it “how it really was”;
has been misled by a superficial aspect of the problem, e.g. thinking that the square root of
0.4 is 0.2;
has misunderstood the particular task, e.g. overlooking that the point is to explain, not to
give an improved account;
is using an inappropriate or ineffective strategy to tackle the task;
has not understood the criteria of quality e.g. assuming that a good piece of autobiography
should present the correct facts clearly and in order, and has to have accurate punctuation,
spelling and paragraphing - thus yielding a dull account devoid of feelings;
has given a relevant answer but needs to attempt an explanation at a deeper level, e.g. in a
science lesson on plant growth and photosynthesis, where the teacher asked why two
plants had grown differently, a student says “this plant in the window grew stronger than
that one in the cupboard because it had more light” - whereas the point of the question was
to explore explanations of why and how light affects growth (Black et al., 2003 pp. 36-9).
For any of the analysis presented above , we must add a final note of caution, as expressed by
von Glasersfeld (1987):
Inevitably, that model will be constructed, not out of the child’s conceptual elements, but out of
the conceptual elements that are the interviewer’s own. It is in this context that the epistemological
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principle of fit, rather than match is of crucial importance. Just as cognitive organisms can never
compare their conceptual organisations of experience with the structure of an independent
objective reality, so the interviewer, experimenter, or teacher can never compare the model he or
she has constructed of a child’s conceptualisations with what actually goes on in the child’s head.
In the one case as in the other, the best that can be achieved is a model that remains viable within
the range of available experience. (p13).
5 Feedback strategy and the learning aims
In the practice of instruction the first step is to decide upon the aims and then to plan the
activities through which these aims may be realised. The overall purpose of this section is to
explore how these decisions differ according to different types of aim and how such
differences may change the nature of the formative interactions. This will help with our
second aim, which of locating our model of formative feedback within more comprehensive
theories of pedagogy.
The aims of any instruction are usually a combination of aims specific to the subject and aims
directed to improving learning skills. For many teachers, the former are explicit and the latter
only implicit. The formative practices, as set out in our discussion of Figure 1, reflect very
general principles of learning, notably social constructivism and meta-cognition. The issues
involved are highlighted here first by discussion of two very distinctive programmes of
instruction, namely cognitive acceleration and dynamic assessment, in both of which the
improvement of learning capacity using an explicit and detailed theory of learning is given
priority over subject-specific aims. This is followed by discussion of classroom work in
which the subject-specific aims are given more priority. A closing section explores the more
general issue of the nature of the teacher’s control of learning.
Learning model priority: the cognitive acceleration programmes
The cognitive acceleration (CA) programmes developed by Shayer and Adey (Shayer &
Adey, 2002; Adey, 2005) are a distinctive form of instruction in that they offer a
comprehensive innovation programme, with an explicit theoretical basis, a closely specified
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set of classroom activities, and prescribed pedagogic practices for which teachers require
specific training. There is strong evidence that they lead to significant long-term
improvements in school achievement, and that the improvements they secure extend beyond
the particular subject context in which a programme has been implemented.
The theoretical basis derives from both Piaget and Vygotsky. One central aim is to encourage
cognitive growth by creating cognitive conflict, following Vygotsky’s dictum from “Mind in
Society:
learning which is oriented toward developmental levels that have already been reached is
ineffective from the viewpoint of a child’s overall development. It does not aim for a new stage of
the developmental process, but rather lags behind this process. The only good learning is that
which is in advance of development. (Vygotsky, 1978, p. 82).
As Chaiklin (2003) makes clear, in reading Vygotsky it is important to understand that
Vygotsky drew a clear distinction between learning and development. The latter requires
changes in the psychological functions available to the learner, while learning involves the
acquisition of new mental capabilities, without changes in the available psychological
functions. The zone of proximal development (ZPD) is not, therefore, just a way of
describing what a student can do with support, which might be simply learning, it is a
description of the maturing psychological functions rather than those that already exist. A
focus in instruction on the maturing psychological functions is most likely to produce a
transition to the next developmental level and “good learning” is that which supports the
acquisition of new psychological functions. This careful distinction between learning and
development is a central feature of Vygotsky’s work that is often overlooked.
Within the CA framework, metacognition is regarded as a higher level psychological process.
By challenging learners to reflect on their own thinking, teachers and their peers help them to
make unconscious processes overt and explicit and so making these more available for future
use. A key feature of the programmes is that students must learn through dialogue with
others, again following Vygotsky’s principle that ideas appear first in the external “social”
plane, then become internalised by the individual. These three principles, Cognitive Conflict,
Metacognition, and Social Construction, are supplemented by two others.
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One of these is a set of schemas of Cognitive Operations, namely seriation, causality,
classification, proportionality and probability. The classroom activities are designed to
challenge the learner’s capacity to use these. The second is the principle of Bridging, in
which learners are encouraged to discuss other contexts in which they might use the same
sort of thinking. In the programme for Cognitive Acceleration through Science Education
(CASE), teachers are advised to devote one science period every two weeks for a period of
extending over years 7 and 8 (ages 11 to 13), to specifically designed tasks – these periods
are not available for ‘covering’ the normal curricular content.
The emphasis paid to creating cognitive conflict rather than giving answers, to the importance
of dialogue to serve the social construction of knowledge, and to metacognition involving
learners’ reflection on their own learning, makes it clear that formative assessment practices
are an essential feature of these programmes. Indeed, the training process that forms part of
the programmes is essential because their adoption requires teachers to engage in such
practices, practices which many will find unfamiliar and challenging. Thus, whilst the
programme of instruction is distinctive, formative assessment principles lie at the core of its
implementation. In SRL terms, the purpose is to change one vital element of the conditions,
i.e. the reasoning resources that a learner might bring to any future task.
Learning model priority: dynamic assessment
Dynamic assessment (DA) is a system with an approach very similar to that of formative
assessment (Poehner & Lantolf, 2005). The main difference is that it is based on an explicit
theory for guiding and interpreting teachers’ work (the Learning Potential Assessment Device
of Feuerstein et al., 2003). As for the CA programmes, the model guides the formulation of
tasks that are designed to elicit and develop these two aspects in comprehensive and
increasingly sophisticated ways. It also requires that the teacher’s responses be guided by the
aim of challenging and developing the learner’s thinking.
Poehner and Lantolf emphasise that the teacher should not be content with immediate
interventions that resolve a particular learning obstacle, but should follow up each success in
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a sustained and strategic way to build up further the learner’s capacity to learn, i.e., exploit to
the full the learner’s ZPD, pursuing this aim even if this focus is at the expense of the
teacher’s aims in making progress with the learners understanding of any particular
curriculum topic. They dismiss much of the accounts in the formative literature as too vague
because they lack such orientation. However, their judgment that other work on formative
assessment lacks a theoretical basis is not accepted by Leung (2007) who has expressed a
more optimistic view of the synergy between the two, and points out that Poehner and Lantolf
have overlooked accounts of formative assessment which discuss the relevance of the ZPD
concept in ways not dissimilar to their own.
In relation to our argument, the DA programme is in the same category as the cognitive
acceleration programmes in two respects. It is a comprehensive pedagogy, with a focused
purpose not directly related to the conventional curriculum, and it specifies the particular
ways in which its specified tasks should be implemented However, formative assessment
practices are central to this implementation.
Learning model priority: comparisons and contrasts
Other initiatives might be analysed in a similar fashion. An example is the innovation
described by White and Frederiksen (1998) that draws on a particular cognitive model (called
ThinkerTools), applies it within science lessons, and produces impressive evidence of
improvement.
What is common to most of the approaches discussed here is that they all include particularly
effective versions of classroom discourse that, by careful choices of the tasks, the cues, and
the feedback, exploit the potential fluidity of the learner’s strategies to make significant and
cumulative changes in them. Indeed, such programmes may be classified as formative
assessment exercises which rely upon interactive dialogue, both between teachers and
students and between students themselves, distinguished by the very specifically targeted
nature of the reasoning tasks that these methods deploy, the articulation of these in a
sustained and coherent sequence, and the specification of aims by the light of which any
feedback responses may be guided.
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Seen from the perspective of the CA and DA programmes, any teacher using formative and
interactive dialogue for normal subject teaching, yet using feedback informed by attention to
the issues highlighted in the SRL model, is engaged in a more diffuse and subject-specific
form of thinking skills programme. The main types of activity summarised in Section 1 above
do fit easily within these programmes – indeed, they are essential to their implementation.
Subject content priority: lesson plans
Whatever their strategy, teachers have to start a lesson with an “opening move”. In many
classrooms, this will be an exploratory question, designed to elicit students’ existing
conceptions. However, the way in which teachers then proceed may differ profoundly with
the broader cultural context within which they work. For example, account must be taken of
the complexities introduced by the requirement of the teacher to assume responsibility for
organizing the learning of a large number of students (20 to 40 in the developed world, often
much larger in the developing world). Of the many possibilities within this broader agenda,
we expand on one example as follows.
In many communities all over the world, there is increasing acceptance of a canonical lesson
design which may now be sufficiently widespread to qualify as a “signature pedagogy”
(Shulman, 2005). The lesson begins with a “big question” (hatsumon in Japanese) which has
been carefully designed to lead students towards the intended outcomes (however broadly
they may be defined)4. Students are asked to work on this question in pairs or small groups,
and then the teacher conducts a whole class session in which different groups present their
proposals. Typically, the teacher then conducts a whole-class discussion, which is termed
neriage” in Japanese; this word, whose literal meaning is “kneading”5, is used in education
to describe:
the whole class discussion phase of structured problem solving. It is the core of teaching through
4 Examples of such questions in mathematics may be found in Hodgen & Wiliam (2006) and
Swann (2006).
5neriage’ originally applied to the technique of layering, cutting and re-combining different
colours of clay to produce a block with intricate patterns.
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problem solving. This happens after students have shared various solution strategies. During this
phase, students, carefully guided by the teacher, critically analyze, compare and contrast the shared
ideas. They will consider issues like efficiency, generalizability, and similarity to previously
learned ideas. (Takahashi, 2008 p.8)
In conducting the neriage session, the teacher must balance a range of different concerns,
some of which may conflict with the others. The teacher must retain the focus on the
learning. If student contributions raise new possibilities, the teacher has to make split-second
decisions whether to follow the new thread, or bring the conversation back to where the
teacher intended. The pressure to value every contribution is strong, since as well as
advancing the learning of the whole class, the teacher will be seeking to minimize the sense
of rejection a student might feel if her or his contribution is dismissed. In this respect it is
interesting to note that Bromme and Steinbring (1994) discovered in their “expert-novice”
analysis of two mathematics teachers that the novice teacher tended to treat students’
questions as being from individual learners, while the expert teacher’s responses tended to be
directed more to a “collective student”. In other words, for each contribution, the expert
teacher sought to draw out implications for the learning of the whole class, rather than for
each individual student.
The teacher’s control of learning
The above studies take for granted several larger issues about the aims and the contexts of
classroom work. To consider first the aims, we may assume that at the beginning of any
classroom discourse the teacher will have some form of learning intention. We do not,
however, assume that the teacher has anything as narrow as a single pre-determined goal for
all students. The teacher may be happy for different students to be working towards different
goals, and the teacher may not herself be clear about what the learning outcomes achieved
will turn out to be. However, it is our contention that in such situations, the teacher does have
learning intentions however implicit, for otherwise the situation would be that “anything
goes”. This is an important point, because some authors (e.g., Knight, 2008) have suggested
that requiring the teacher to have learning intentions, and to place the responsibility for the
creation of learning with the teacher, is somehow to undermine the creation of student
autonomy. Such an argument, if taken to the extremes characteristic of some forms of
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“discovery learning” seems to us to be based on an inappropriate model of the nature of the
respective responsibilities of the teacher and the learner. We would accept that in many
situations, particularly those in which high-stakes tests play an important role, teachers often
behave as if they believed that they could do the learning for the learner, with disastrous
consequences. At the other extreme, however, are the practitioners who claim not to teach,
but to merely act as other participants, or to chair the learning discussions. This seems to us
an abdication of the teacher’s responsibility. While the teacher cannot do the learning for the
learner, the teacher can engineer situations in which the opportunities either for the learner to
learn, and/or to develop learning autonomy, are maximized. And while the voice of the
student should be taken into account in the engineering of such learning environments, it is
fatal if the teacher does not engineer into the learning environment the essence of the
discipline. The teacher must be accountable to the students in terms of taking on board, as far
as reasonably practicable, the students’ needs, preferences, and so on, but they must also be
accountable to the discipline into which the students are being enculturated so that they can
eventually operate as effective learners in that discipline.
Whether it is chosen at a strategic or tactical level, the task or problem put to the student(s)
cannot be taken for granted: if well chosen, it can engage the students and help draw them in
to a learning discussion. However, it is hard to formulate any general rules or recipes.
Moreover, as any particular task is implemented, the ‘tuning’ of that task to the responses can
also be very challenging for teachers –Dillon (1994) presents detailed guidance to teachers
about this issue. In some situations, the teacher will be trying to get all students to the same
goal, such as understanding the notion of equivalent fractions. In other situations, the
teacher’s aims may be better characterized as having a broad horizon of acceptable outcomes:
Hodgen and Marshall’s (2005) study brings out these differences in their comparison of
mathematics with English classrooms. Different students in the same class might be working
towards different goals, and this might be perfectly acceptable to the teacher. However, it will
also often be the case that some students appear to be working towards an outcome that is too
far from the teacher’s intention, and in such a case, the teacher is likely to try to draw the
student towards a trajectory that is more in keeping with the teacher’s intention.
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6 Feedback tactics
The explorations in section 5 have inevitably raised issues about the way in which any
strategic intention is implemented in the immediacy of school work . Two aspects of this
issue will be discussed in this section, the first about evidence of the effectiveness of different
types of feedback, the second about the relationship of feedback decisions to the development
of students’ participation in learning discourse. Thus the discussion in this section is aligned
particularly with our fourth aim, which is to produce ideas that might lead to improved
practice
Categories of feedback
A significant contribution to this topic has come from Hattie and Temperley’s (2007) review.
The first section of their paper reviews the quantitative evidence for the different types of
feedback, using meta-analyses to derive average effect sizes. They obtain high effect sizes in
cases where students receive information about the task and about how to perform it more
effectively, lower effects for interventions which focus on target-setting, and far lower effects
where only praise, or rewards, or punishment are given.
The detailed patterns into which they organize these data are then deployed in the authors’
second section, in which they present a classification of feedback into four different types.
The first type is task-level feedback, which focuses on faults in the interpretation of the task
or in the outcome produced. The second is about the main process needed to
understand/perform a task: such feedback should be related to the student’s own error-
detection strategies, and has to serve as an ‘advance-organiser’, giving cues to lead to better
strategies. The third focuses on the self-regulation level – the self-monitoring, directing, and
regulating of actions.
Hattie and Temperley note that willingness to engage with such feedback depends on the
'transaction costs' involved, and that feedback is most effective when learners’ confidence in
their production is high (even if it turns out to be wrong), but may be ignored where
confidence is low. Unclear negative feedback where there is uncertain self-image can lead to
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poor performance especially if it contributes to what they call the learner’s "capricious
chaotic reinforcement history". Provided they seek instrumental help and do not look either
for answers, or to be told ‘how to do it’, help-seeking interventions by students can have
positive benefits’; however, such helpful interventions are not often made (see Swift et al.
1988; Smith et al., 2004).
The authors make use of Butler and Winne’s (1995) paper, but do not relate their analysis to
Winne and Hadwin’s (1998) model. The three types are all related to the internal components
represented in the SRL model, but their perspective differs in that they are analyzing the
teacher’s feedback actions, i.e. the external and inter-subjective aspects of feedback
interaction, rather than relating them to an explicit model of the learner’s thinking.
Many valuable lessons emerge from the authors’ distillation of findings from a wide range of
data, and their categories can be used to classify the surface features of different examples of
feedback. However, the diagnosis by the teacher or peers which must precede the formulation
of any feedback cannot be restricted to one of these types. The point of the SRL model is to
bring out the various elements of self-regulation, and the many ways in which they might
interact, which between them lead to the outcome, so that the most appropriate feedback
might be formulated. For example, feedback on understanding of the task may have to be
linked with feedback on the learner’s understanding of the criteria used in his/her own self-
regulation, or on the choice of strategy made in the light of that understanding, and so on.
It does not follow that learners will work on any feedback; both the commitment and the
confidence of the student will affect the response, and in this respect the following category,
the fourth identified by Hattie and Temperley, is relevant. This concerns issues of personal
evaluations and affect, including such feedback features as praise and judgment. There is not,
from the evidence, a clear indication for choosing between positive and negative feedback:
the former can enhance motivation, whilst the latter may, depending on the recipient’s self-
belief, be accepted as a challenge which helps by triggering self-regulation.
What is not discussed in Hattie and Temperley’s review is the effects of feedback on the
learning orientation of the learner. The research studies of Ruth Butler (1987; 1988) have
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shown that giving marks or grades, or otherwise focusing on judgment or competition, as part
of feedback can inhibit the learner’s attention to any substantive advice on improvement.
Moreover, such feedback can actually have a damaging effect on the learning orientation of
the learner, promoting ego- or performance-oriented orientations as opposed to task-
orientation. Arguments of a similar type are developed in detail by Dweck (2000), and these
reflect the distinction discussed in section 4 above between the growth and the well-being
processes, bringing out the way in which different types of feedback can influence the
volitional strategy and the switching from one process to the other.
Overall, the Hattie and Temperley study does not suggest that empirical evidence indicates
any need for a revision of the Winne and Hadwin model. Most of the empirical lessons can be
seen as consistent with teacher feedback formulated in the light of that model, whilst
providing additional guidance, derived from that evidence, about ways to optimize that
feedback. However, neither of these two studies pays serious attention to the external world
of classroom discourse and indeed much of what they present can be interpreted as dealing
with transactions in which a teacher is interacting with the individual student about a piece of
written work. It requires some imagination to connect the lessons with the dynamic
interactive environment of a teacher working with a class of 30 students. Furthermore, they
do not consider directly reverse feedback, i.e. the feedback of student to teacher.
Promoting discourse
Van Lier (1996) maps out a spectrum of types of class discussion, from the monologue at one
extreme to the everyday free-flowing social chat at the other: a rather similar scheme, but
more restricted in range, has been proposed by Alexander (2006). It is clear that formative
assessment cannot flourish at either end of this spectrum. The optimum balance for different
school subjects may lie at different points along it, between relaxed freedom and strongly
steered dialogue.
A detailed analysis of classroom dialogue may be undertaken from a variety of
perspectives. In the multi-disciplinary study reported by Dillon (1988), extensive
transcripts of five classroom discussions were the subject of 12 different types of
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analysis and commentary: six contributions analysed the samples in the light of such
different disciplines as philosophy, cognitive psychology and socio-linguistics, whilst six
others appraised the pieces from different pedagogical perspectives, under such headings
as models of discussion, questions and wait-time, and questioning vs. student initiatives;
the last of these, by Wood and Wood, illustrates a type of detailed analysis of teachers
moves which would be most useful in the further development of the skills needed for
formative dialogue.
One feature of Dillon’ examples is that the pupils’ talk takes up at least as much of the time
as the teacher’s talk, and in these episodes the pupils’ talk in paragraphs. By contrast, two
short samples published as part of the formative assessment work reported in Black et al,
(2003 - ch.4) show one episode in which pupils’ contributions amount to no more then two-
or three-word phrases, whilst in a later, and more formative, example from the same teacher,
pupils’ contributions take the form of complete sentences, using terms such as ‘think’ and
‘because’ which indicate reasoned dialogue. In the first of these the teacher is merely seeking
the expected right answer, in the second he acts more to steer the conversation by first
collecting some contributions, summarising them and asking for more comments on the
differences between these, leaving his own guiding judgments and challenges until many
have had time to contribute. Nevertheless, it is clear that the conversation is being steered in a
definite direction, a feature which is far less clear in Dillon’s examples. However, some of
the latter are discussions of such topics as family relationships or the school’s ban on
smoking, whereas the former is about the meaning of a scientific concept.
Further development of such studies could help to develop a more fine-grained understanding
of classroom discourse, and might be of value in giving detailed guidance to teachers of the
type formulated by Dillon (1994). However, none of them is directly related to models of
formative assessment similar to the one that we set out in fig. 1, which identifies, in its five-
strategy model, the key processes of formative assessment. As will be clear from our
discussion of fig.1, none of these occurs in isolation. While particular instructional episodes
may highlight one of the strategies, others are inevitably involved. For example, where
students are active as owners of their own learning, this will require them to have some idea
about what they are trying to achieve, as will students who are active as instructional
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resources for one another. This interplay between strategies is particularly complex in the
conduct of classroom discourse. What should be emphasised here is that the task of using
learners’ responses to catalyse their further involvement in a learning discourse between
peers is a far more complex task for the teacher than dealing with a single student’s response
in an individual tutorial.
We shall not consider here the practices of feedback for written work or in peer-
assessment. Feedback comments on written work can set up a conversation, a form of
dialogue which presents problems similar to those of whole-class dialogue but simpler partly
because the teacher has time to consider how best to respond, and partly because subsequent
interaction, in writing or in discussion, will be a one-to-one interchange. For peer-assessment,
the teacher in classroom interaction can model for learners the way they should interact with
one another, but far more will be involved (Blatchford et al., 2006; Mercer et al., 2004).
7. Conclusions
What has been presented here as a theory attempts to fill a conceptual gap in the literature on
formative assessment. It does so only as a first step, establishing that any theory must bring
into relationship the three spheres, the teacher’s agenda, the internal world of each student,
and the inter-subjective; these between them map the territory. In doing this, we have tried to
bring together literature from diverse traditions, each seeming to have its own distinctive
aims and limited sphere of concern. We have judged that the task of developing and
exploiting the various linkages between them will be profitable in the formulation of a
theoretical framework that may serve to illuminate the complexities of educational practice.
Our approach indicates that any evidence of formative interaction must be analysed as
reflecting a teacher’s chosen plan to develop learning, the formative interactions which that
teacher carries out contingently within the framework of that plan – as realised in the social
world of the classroom and school – and the internal cognitive and affective models of each
student of which the responses and broader participation of students provide only indirect
evidence.
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The framework sketched out here serves the first of the aims set out in section 1, in that it
gives a conceptual re-alignment of the practices currently assembled under the umbrella of
formative assessment. However, the focus here has been on the first three numbered items in
Figure 1, with some attention to the other two. A more detailed discussion of self-assessment
and peer-assessment is beyond the scope of this paper.
Our second aim was to locate formative interactions within more comprehensive theories of
pedagogy. Perrenoud’s concept of regulation is crucial here. He explained this concept in
terms of two levels:
I would like to suggest several ways forward, based on distinguishing two levels of the
management of situations which favour the interactive regulation of learning processes:
the first relates to the setting up of such situations through much larger mechanisms and
classroom management.
•the second relates to interactive regulation which takes place through didactic situations. (p.92)
The first of these is a key feature of pedagogy, but only the second involves formative
interaction. Overall, the argument is that the collection of formative practices, whether or not
informed by models such as the SRL model, or the cognitive acceleration programmes, or
dynamic assessment approaches, are not alternatives to a formative approach - they all
include it. Where they differ is in Perrenoud’s first level of management, i.e. in the design of
their learning tasks, and in the over-riding learning aims which serve to determine the
priorities towards which the learning interactions are directed (as is made clear on our section
5). That is to say, they differ in the model of pedagogy that is the basis for their design and
within which formative assessment is, to a greater or lesser extent, implemented. Thus they
all involve the teacher in the difficult task of feedback for learning, but in different ways.
This aspect is clarified by Threfall’s (2005) suggestion that teachers may need to exercise
‘contingent assessment planning’, i.e., limiting the teaching plan so that the interactions are
kept within the range of alternatives that he can foresee and be prepared for (see also Ciofalo
& Wylie, 2006, Wylie & Wiliam, 2006; 2007). For example, the focused nature of (say) the
Cognitive Acceleration programmes, together with their focussed professional development,
makes such contingent planning simpler because the range of appropriate responses is
correspondingly narrowed and the training can anticipate the main characteristics of students’
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reactions.
Our third aim was to link and critique other theoretical writing. What the above exploration
has opened up for us is the ways in which the self-regulated learning literature pays scant
attention to learning in the context of discourse, whether with a teacher or a member of a
group, whilst the literature on discourse does not try to incorporate and link to literature on
the individual’s learning. Socio-cultural theorisation of classrooms is clearly relevant to
consideration of classroom discourse but the approach we illustrate in Figure 1 also
recognises the need to consider the learner as an individual thinker.
Our fourth aim was to produce ideas that might lead to improved practice. There does seem
to be potential here, e.g. in more sophisticated guidance for teachers to help them both to
interpret students’ contributions, and to match their contingent responses to the priority of
purpose which they intend. Such work might well start from existing analyses of classroom
discourse mentioned in section 6. It might also help to make clear the distinction between a
teachers’ broad approach to instruction, including the learning theories to which they
subscribe, and the specific issues involved in implementing a formative approach. It could
illustrate and emphasise that such an approach cannot prosper if the up-stream planning does
not provide a context favourable to it.
At a finer grained level, and strongly contingent, is the prospect of guiding the individual
choices of feedback that a teacher has to make on numerous occasions, often with little time
for reflective analysis before making any commitment. The two steps involved, the
diagnostic, in interpreting the student contribution in terms of what it reveals about the
students thinking and motivation, and the prognostic, in choosing the optimum response; both
involve complex decisions, often to be taken with only a few seconds available. It might be
attractive to attempt to compose a list of rules from an extensive collection of examples like
the few presented in section 6. However, there would be dangers. The first is that a response
cannot be interpreted outside the context within which it has been produced. Another is that a
rule that might apply in one subject, or in a lesson that was pursuing a particular learning aim
within that subject, might be quite inappropriate for another subject or for an interaction that
32
Revise of 3rd November 08
was being orchestrated with a different aim in mind.
We do not claim that the focus on formative assessment is the only, or even the most
appropriate, way of looking at interactions in whole-class discussions. Boaler and Humphreys
(2005) have highlighted the importance of social norms in the creation of effective classroom
environments, and the work of Paul Cobb and his colleagues have underlined the importance
of subject-specific norms (e.g., McClain & Cobb, 2001). We would certainly accept that what
counts as a good explanation in the mathematics classroom would be different from what
counts as a good explanation in the history classroom, although they would also share certain
commonalities.
We do claim, however, that a focus on the creation of, and capitalization upon, moments of
contingency in whole-class discussion, and on the five key strategies defined in section 1
above, provide lenses that are useful for both teachers and researchers. In particular, for
practitioners the fact that moments of contingency create the possibilities for whole class
discussion to be improved provide a point of leverage that seems to us uniquely powerful.
Rather than ignoring issues of psychology, curriculum and pedagogy, such a focus allows the
teacher to engage with these issues in a way that is directly and immediately relevant to their
practice.
Thus it is clear that the complexity of the situations in which formative feedback is
exchanged is such that they can only be understood in terms of the several theoretical
perspectives required to explore the different types of issue involved. These might variously
illuminate the formative aspects involved, or, more likely, the broader theory of pedagogy
within which the formative dimension is located. There is ample room to develop such
considerations, i.e. to pursue our fifth aim of developing further lines of enquiry. Whilst this
will not be further explored here, we draw attention to such issues as the difference between
the different epistemologies and cultures of the various school subjects (touched on in section
5), and to the differences between the learning needs of (say) pre-school children and
undergraduate specialists.
33
Revise of 3rd November 08
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---------------------------------------------------------------------------------------------------------------
Key words if needed
formative assessment, assessment for learning, dynamic assessment, self-regulation,
instruction, pedagogy, cognitive acceleration, dialogue
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Address for correspondence
Paul Black
Emeritus Professor of Science Education
Department of Education and Professional Studies
King's College London
Franklin-Wilkins Building
150 Stamford Street
London SE1 9NH
Tel: 020 7848 3166 or 3183 Fax: as tel. but : 7848 3182
e-mail: paul.black@kcl.ac.uk
40
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O objetivo geral deste capítulo é analisar e discutir abordagens didáticas que promovam a integração eficaz da inteligência artificial na educação, visando aprimorar a experiência de aprendizagem dos estudantes e aprimorar os processos de ensino. Como desdobramento do objetivo geral, têm-se os seguintes objetivos específicos: Explorar os principais modelos de aplicação da inteligência artificial na educação; Analisar como as estratégias pedagógicas tradicionais podem ser adaptadas para incorporar a IA; Discutir as implicações éticas e práticas do uso da IA na educação; Apresentar estudos de caso que demonstram a eficácia das abordagens didáticas com IA; Propor diretrizes para educadores que desejam adotar a IA de forma eficiente em suas práticas de ensino.
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Improving education is a priority for all countries. Increasing the level of educational achievement brings benefits to the individual, such as higher lifetime earnings, and to society as a whole, both in terms of increased economic growth and lower social costs such as health care and criminal justice costs (Gritz & MaCurdy, 1992; Hanushek, 2004; Levin, 1972; Tyler, Murnane, & Willett, 2000). Indeed, the total return on investments in education can be well over $10 for every $1 invested (Schweinhart et al., 2005). This means that even loosely focused investments in education are likely to be cost-effective. Given public skepticism about such long-term investments, however, and given too the reluctance of local, state, and federal governments to raise taxes, there is a pressing need to find the most cost-effective ways of improving student achievement.
Article
Intrinsic and extrinsic types of motivation have been widely studied, and the distinction between them has shed important light on both developmental and educational practices. In this review we revisit the classic definitions of intrinsic and extrinsic motivation in light of contemporary research and theory. Intrinsic motivation remains an important construct, reflecting the natural human propensity to learn and assimilate. However, extrinsic motivation is argued to vary considerably in its relative autonomy and thus can either reflect external control or true self-regulation. The relations of both classes of motives to basic human needs for autonomy, competence and relatedness are discussed.