=Paper= {{Paper |id=Vol-1736/paper6 |storemode=property |title=Considering Self-Efficacy in Reflection |pdfUrl=https://ceur-ws.org/Vol-1736/paper6.pdf |volume=Vol-1736 |authors=Birgit Krogstie,John Krogstie |dblpUrl=https://dblp.org/rec/conf/ectel/KrogstieK16 }} ==Considering Self-Efficacy in Reflection== https://ceur-ws.org/Vol-1736/paper6.pdf
             Considering Self-Efficacy in Reflection
                              Birgit Krogstie, John Krogstie

                                  NTNU, Trondheim, Norway
                                   John.krogstie@idi.ntnu.no

         Abstract: There is a relationship between self-efficacy and the process of
         reflective learning. How they may influence each other can be explored by
         considering the steps in a reflective learning cycle. For each step, there are
         ways self-efficacy may be affected by how reflection is conducted, or may
         impact on how reflection should be conducted and supported. The paper
         outlines such connections, thus providing a starting point for further re-
         search on how to take self-efficacy into account when planning and design-
         ing for reflective learning and needed tool support for this.


1      Introduction
What are the consequences for learning and performance if Annie, a student of engi-
neering, perceives her abilities in maths to be weak, sees tests as towering hurdles,
bad results reflecting her lack of skills and good results surely being due to pure luck?
What if Ethan the engineer perceives his good-but-not-excellent skills to be way
above average, seeing little need to prepare much for challenging work tasks and
considering whatever goes wrong as due to circumstances? What happens when these
people reflect on their achievements? Should the initiation and guidance of reflective
learning take such characteristics of the learner and work settings into account? We
think yes. To argue for this, we need to take a step back and look further into the con-
nection between reflective learning and Self-Efficacy (to be abbreviated as S-E).
   Reflective learning can be considered as a conscious re-evaluation of experience
for the purpose of guiding future behavior, with attention to feelings, ideas and be-
havior [1]. Reflection is regarded as essential for learning [2], [3]. In what follows, we
use the term “reflection” and “reflective learning” interchangeably. Reflection can be
individual, or it can be collective [4], involving the articulation and sharing of experi-
ences and collaborative construction of knowledge (e.g. [5]). Reflection takes place in
the workplace as well as in educational settings. We will in this paper refer to the
activity reflected upon as “work”, whether it refers to the everyday work of an em-
ployee or the learning activities undertaken by a student.
   A factor that plays an important role in how the individual performs in her work
(e.g. how tasks are viewed, whether they are taken on, how they are conducted,
whether they are completed) is the perceived S-E of the person with regard to the
various tasks. (We will from here on refer to “S-E”, taking as implicit that it is as
perceived by the individual). S-E is a construct originating in the social cognitive
theory of Bandura [6]. S-E addresses the individual’s belief in their ability to succeed
with a task and relates this to the individual’s experiences and interaction with others.
e.g. learning from people who serve as role models. S-E may affect the choice about
whether to engage in a task and whether to complete it. In the context of reflective
learning, S-E thus plays a role in determining what kind of experience is generated
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and how the individual further acts upon it. This points to S-E as relevant to those
who wish to provide adequate support for reflective learning [7], including educators
working with student-active approaches to learning (for instance self-directed learn-
ing [8] or problem based learning [9]) and to those developing tools supporting these
activities.
   Existing theory of reflection (e.g. [10]) and research addressing practical support
for reflection in pedagogical contexts (e.g.[11], [12]) already relates to issues that
form key elements of socio-cognitive theory. What we aim to do in this work-in-
progress-paper is to systematically consider S-E in context of a reflective learning
cycle, thus providing some anchor points for support (technological or other) for the
reflective learner. It is important to stress that while this paper has a focus on the con-
nection between reflection and S-E, the ultimate objective for continued research is to
unveil ways in which adaptation and support (through technology or otherwise) may
be introduced to improve the reflective learning process.
   In the Background section, we provide a brief outline of the concept of S-E as well
as a cyclic model of reflective learning (the CSRL model [7]). In section 3 we pro-
ceed to discuss how S-E potentially impacts on the steps and transitions in the reflec-
tive learning cycle. In section 4 we consider how S-E may be affected by steps in the
reflection cycle. Section 5 concludes the paper with a discussion of issues to be ad-
dressed in further research along this vein, including some limitations and challenges.

2      Background

We here outline existing research on self-efficacy and the reflective learning process.


2.1    Self-Efficacy
At the core of the social cognitive theory [6] is the understanding that humans are
agents deliberately using their actions to influence their own functioning and their
surroundings. Influential factors in the self-regulation of human motivation and be-
haviour include not only S-E but also goal systems, outcome expectations, perceived
environmental facilitators and enablers, and environmental impediments [13].
   There are four main sources of S-E: mastery experience, social modelling (learning
from role models), social persuasion, and physical and emotional states [14]. Mastery
experience is regarded as the most significant among these. S-E can be measured with
instruments adapted to the specific domain [19]. To get a measure of S-E, the individ-
ual is typically asked to rate a set of statements about their confidence (e.g. on a scale
from 0% to 100%) that they will be able to perform the type of tasks in question. By
measuring S-E, it is possible to compare within and across individuals how S-E de-
velops over time and/or differs in a population.
   According to Schwarzer and McAuley, the usefulness of S-E as an ‘operative con-
struct’ relating to the self lies in its three components: competence (how behaviour is
attributed internally), the temporal perspective (how future action is predicted) and
behaviour (as opposed to attitudes or personal characteristics) [15].

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   An important point here is that S-E is not fixed – it develops over time as a conse-
quence of the person’s actions/experience as well as changing circumstances and
requirements. Also, the relative importance of different areas of S-E for a person
might vary over time (e.g. due to changes in roles/responsibilities). Thus, in measur-
ing a person’s S-E, we should not consider it as a trait revealed once-and-for-all, but
rather as a measurable factor that can be used to gauge the current situation and that
can be influenced by providing the right means. Thus self-efficacy might both vary
over time and across different domains of knowledge.
   There exists a significant body of empirical research establishing connections be-
tween S-E and other parameters of human behaviour such as performance. Generally,
S-E has been found to influence performance in a positive way. Some studies have
however found that increased S-E may have adverse effects on performance (for in-
stance leading the individual to assume that less preparation is necessary to succeed
with a task) [16]. Tierny and Farmer argue that the negative effect of high S-E on
performance may be a characteristic of controlled laboratory settings, as opposed to
more complex, real-life settings for which the threshold for a positive impact of S-E is
higher [18]. Tierny and Farmer, for instance, conducted a longitudinal field study of
creative S-E in a workplace, finding that by enhancing creative S-E, creative perfor-
mance was also improved. Bandura, responding to studies showing null or negative
effect of S-E on performance (e.g. [16]) points out that S-E is one factor within social
cognitive theory and needs to be considered in context of the rest [13].
   All in all, the body of research supporting a potentially positive influence of S-E on
performance is substantial enough for us to make the basic assumption that increased
S-E – or, sometimes, a more realistic S-E, may be favourable to performance.
   Finally, it should be mentioned that we may talk about the collective efficacy of a
group, which is bigger the more interdependent effort is required when a group under-
takes a collective task [17]. Collective efficacy has relevance in the present context as
both work and reflection may be collaborative.


2.2    The Reflective Learning Cycle
The process of reflective learning can be represented as a learning cycle as in the
CSRL model of reflective learning [7]. The reflective learning as it evolves over time
(e.g. in a workplace) can be considered as a set of interconnected reflection cycles,
often involving more than one level in the organization. A key point of the CSRL
model is that the steps of the reflective learning cycle may be supported by tools,
which means the model can serve as a guide to the design and/or selection of appro-
priate technology to aid reflective learning. In this paper, we focus on the four main
steps of the cycle and the transitions between them, considering implications for tool
use as further work and as a main purpose of this work-in-progress.
   The main steps of the CSRL model (see also Figure 1) are: Do and plan work – the
activity in which experience is being generated; Initiate reflection – a spontaneous or
planned, unstructured or systematic initiation of reflection based on data (formalized
or not) about the work experience, resulting in a frame for the reflection (participants,
resources, scope, objectives…); Conduct reflection session – engage in activities such
as reconstructing experience, possibly sharing it with others, clarifying its meaning
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(e.g. what are current challenges), finding solutions and creating an outcome; Apply
outcome – implement the result of reflection as a tangible change to work or a
changed readiness for action, or possibly initiate another round of reflection.


3      Considering the Impact of S-E on Reflection

A key point in this paper is that S-E plays a role in how reflective learning unfolds.
We tentatively propose some ways in which transitions in the reflective learning cycle
may be influenced by the S-E of the learner (summarized in Fig. 1):
    Plan and do work – As described above, S-E influences performance, in particular
decisions on what to do and how. It influences the shaping of the experience follow-
ing from interpreting emotional reactions and from attending to aspects of the situa-
tion considered to be relevant, important and (maybe) within the learner’s power of
influence. S-E may also influence which data becomes available for reflection. The
collective efficacy of a group working together may also be influencing on work ac-
tivity and experience.
    Initiate reflection - S-E influences what is perceived as a (reflection-triggering)
discrepancy and what is worthwhile reflecting on (e.g. because it is within the learn-
er’s power of influence). This means there may also be an influence of S-E on the
frame for reflection created at this stage: What is the scope, what are the relevant
issues/constraints to consider, what are realistic objectives/types of outcomes, whom
is it relevant/viable to involve (for co-reflection) etc.
    Conduct reflection session – Again, considerations about what are possible solu-
tions and viable options for bringing about change will be influenced by the individu-
al’s belief in her power to influence events. Also, especially in collaborative reflec-
tion, social learning mechanisms may play a part in determining who learns what
from whom in the group. It is likely that participants will learn more from the experi-
ence shared by those considered similar to themselves (role models). Furthermore,
considering the reflection session as an experience (in line with the work experience),
S-E will impact on how this experience – of mastering an activity/process and con-
tributing to its results – is shaped. If reflection is conducted in a group, the collective
S-E of the group with respect to reflection as well as other collaborative work activity
may impact on the reflection session. Participant’s self-efficacy can influence the
extent to which he or she contributes to the discussion.
    Apply outcome – S-E may influence on the learner’s decision to implement a
change, as this may be a question of confidence that it will work out. Similar consid-
erations apply to the decision to involve others. (Do I dare? Will it lead to anything?)
    One issue in considering the impact of S-E in this process is whether attempts are
made to measure the S-E and somehow use it to aid the process. In this case, a whole
range of challenges arise along with the possibilities for useful insight. One question –
on which we will not elaborate here - is the reliability and validity of measurement: is
it S-E, and in the relevant area, that is being measured, and is the measurement rea-
sonably accurate? Existing research (e.g. [19]) indicates that this can be adequately
solved. Another question pertains to when measurement is being made, and whether it
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is repeated (e.g. in a before-after research design). Furthermore, knowledge about the
S-E of an individual may be available to the person, but also be made available to
others, e.g. a manager, a teacher, peers, or some organizational intelligence system.
    Knowledge about S-E in combination with other knowledge about the situa-
tion/activity could be used to aid decision on when it is useful/appropriate to reflect,
with whom to reflect, and how (e.g. which questions might be addressed, which data
should be available, which outcomes/types of outcomes to aim for, what to do with
them…). As an example, it may be beneficial to individuals who are low on S-E to be
paired with role models, both in work and in reflection sessions, to benefit from ob-
servational learning and vicarious experience.




Fig. 1. Potential influence of S-E on the reflective learning cycle


4      Considering the Impact on S-E of Reflection

In looking for aspects of reflective learning influencing S-E, we may look for points
in the reflective learning cycle likely to be influenced by mastery experience, learning
from role models, social persuasion and interpretation of one’s own emotional reac-
tions. Each of these factors could in principle be relevant anywhere throughout the
cycle through the experience of reflective learning. In particular, we should make sure
to consider both the work experiences reflected upon and the experience of engaging
in (and mastering) the process of reflection.
   Ideally, the reflective learning process should build and strengthen the understand-
ing that it is possible to reach insight about one’s situation and do something about it.
   We briefly indicate some ways each of the steps in the reflective learning cycle
may impact on S-E:
   Plan and do work – S-E may be influenced through mastery of work tasks, obser-
vational learning and social persuasion. This may also include collective efficacy.


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   Initiate reflection – S-E may be influenced through the experience of taking action
to do something about issues at stake, possibly also by involving others.
   Conduct reflection session – S-E can be affected by learning through vicarious
work experience shared by role models, social persuasion, mastery of the reflection
activity itself (conducting the session, seeing it resulting in outcomes), the use of
insight on S-E (as measured and/or experienced) to identify action that will improve
mastery. These points may apply also to collective efficacy.
   Apply outcome – S-E can benefit (or suffer) from the experience of being able (or
unable) to bring about change.


5      Discussion

We have given an outline of ways in which S-E may influence, and be influenced by,
steps in the reflective learning process. Our intention with this paper is to argue for
the potential of pursuing these connections in more detail through further research.
Can the reflective learning cycle, appropriately supported, effectuate a virtuous cycle
of increased S-E and increased work and/or learning performance? This question
holds potential for being empirically explored as part of investigating actual reflective
learning processes, for instance in a workplace or in a course in higher education.
    We propose an agenda for further research along the following lines:
• Generally explore in more depth theoretically and empirically how S-E, as a
    measurable characteristic of a person in context of particular situations and tasks,
    can be taken into account in a way that aids the reflective learning process. This
    could mean tailoring the process to the individual, but also to consider the compo-
    sition of teams (i.e. with regard to social learning) and collective efficacy.
• Apply research designs in which S-E is measured before and after a pedagogical
    intervention (e.g. introduction of a particular type of activity promoting ac-
    tive/reflective learning, and/or the use of technology support for reflection) to ex-
    plore the possible impact on S-E. The connection between change in S-E and
    change in performance can also be explored, if relevant.
• Explore the effect of making S-E (measured or otherwise inferred) a topic of re-
    flection, individually or through discussion with others. Questions in an S-E scale
    may serve the simultaneous purpose as trigger and guidance of reflection.
• Use current insights on technology support for reflection (e.g. from the MIRROR
    project [7]) to see how the above can be aided by computerized tools. In addition
    to building upon work in the TEL area, insight from Learning Analytics (LA) such
    as [20] might also be beneficial here.


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