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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Supporting Reflection in Informal Learning</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Christian Glahn</string-name>
          <email>christian.glahn@ou.nl</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marcus Specht</string-name>
          <email>marcus.specht@ou.nl</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rob Koper</string-name>
          <email>rob.koper@ou.nl</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>OTEC, Open University of the Netherlands</institution>
          ,
          <addr-line>Valkenburger Weg 177, 6411AT Heerlen</addr-line>
          ,
          <country country="NL">The Netherlands</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>This paper analyzes how different visualisations of interaction information can be used to indicate user activity and support informal learning. The question for research is how to support learners in unstructured and emerging environments to become aware of their often unconscious learning processes. Based on this question, two design studies and three experiments were conducted, to analyze the effects of indicators on informal learning. From the findings of the research we identified that the reception of interaction information is dependent on the context of the learners. “Relatedness” seems to be important for designing indicators that support learning.</p>
      </abstract>
      <kwd-group>
        <kwd>personal learning environments</kwd>
        <kwd>adaptive instructions</kwd>
        <kwd>learner support</kwd>
        <kwd>context awareness</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>People need to communicate their knowledge and competences in many situations of
daily life. In formal educational settings, this communication is supported through
specially trained staff and the application of fine grained assessment methods. Such
assessment is not limited to formally strict testing, but includes (among other
approaches) observing learners on their learning course, stimulating group work,
apprenticing, analysing a learner’s contributions in discussions and problem solving
approaches. In this broad and qualitative understanding assessment does not only
allow the expression but also the comparison of knowledge and competences among
groups of learners. In this sense “assessment” is assisting learners to communicate
their knowledge and competences. Furthermore is assessment integral to the curricula
of formal education. One of the key qualities of formal education is to make learning
processes accessible for communication in such a way that forms of assessment
results – the certificates – can serve as proof of the acquired knowledge and
competences. As a result have the former learners a rather explicit understanding of
the meaning and quality of their certificates with respect to the knowledge and
competences they have (or have not) acquired while obtaining it.</p>
      <p>Formal education allows several assumptions about the learning process. First the
learning domain is defined. Second, the learning objectives are defined. Third, the
learning results can be defined. Fourth, the prior knowledge of the learners might be
available. Fifth, the learning material is well defined and known. Sixth, the learning
process is pre-structured. Seventh, well tested assessment methods are available.
Eighth, participants intend to learn something. Even if some of these assumptions
cannot be made in one particular setting, learning processes in formal education are
almost always well structured and contextualized within a given environment. An
enormous number of educational and educational technology research publications
deal with these assumptions, assessment methods, and instructional design in formal
education. The baseline of the related research is the explicit and structured learning
process.</p>
      <p>The explicit and structured learning processes of formal education take less and
less time once a person has finished compulsory education. However, this does not
mean that people stop learning. It has been reported that the knowledge and
competences, which were acquired independently from formal education play an
important role for the individual professional development [4]. This implies that
people also need to be able communicating the knowledge and competences, which
they acquired informally. It appears that learners are often unaware about their
informal learning processes [16] as well as about the quality and value of related
outcomes [7, 15].</p>
      <p>The problem for our research is to support informal learning processes that are
lacking of pre-defined structure. The lack of structure implies that the underlying
assumptions of formal education cannot be made in these cases. This does not mean
that learning support is “de-contextualised”. Instead, informal learning takes place in
a range of highly complex, uncertain, and unstable situations [16], which require
different approaches of contextualisation to support learning.</p>
      <p>This paper reports on the progress and findings of the research on supporting
engagement and reflection in informal learning. The approach for supporting learning
is by providing contextual information visualisations of learning actions, which we
call indicators. The results include the outcomes of two design studies and two
experimental studies, from which we drew the concept of peripheral information.
Based on this concept we outlined and prepared a third experimental study, in order to
verify our findings.</p>
    </sec>
    <sec id="sec-2">
      <title>Background and Motivation</title>
      <p>This research was motivated by from Schön’s [16] analysis of professionals’
reasoning and learning. The author notes that today’s professionals are confronted
with a range of situations that are highly complex, uncertain, and unstable. In these
situations it is not always possible to apply deterministic and hard empirically
grounded methods as they are often taught in schools or universities. In other words,
professionals have to manage “messes” and make sense of these in order to provide
services to their clients [16].</p>
      <p>Our research is based on three pillars.</p>
      <p>The first pillar is context in situated learning and communities of practice [14, 17].
At large, this research provides a framework of supporting learning in communities of
practice through technology. Nevertheless, the applications of social software
reported in these settings do not tackle the problem of engagement and motivation for
learning processes that are part of the professional “artistry” [16] and professional
competence development [3, 4].</p>
      <p>The second pillar is self-regulated learning and motivation in learning [1]. The key
finding for this research is that people need various types of external information in
order to monitor and regulate their actions in an environment. However, the related
research in this field has not yet focused on contextual factors in using external
information for self-regulation and how this affects motivation and engagement.</p>
      <p>The third pillar is the research on interaction indicators [5, 13] of interaction
footprints [2, 8]. Indicators provide simplified representations of complex
information, contexts, and processes. The related research applies techniques of
information visualisation for making social activity accessible to the actors. Although
the special indicators used in prior research [5, 13] provide good examples for
supporting self-regulated actions of learners in online environments through activity
visualizations, they are limited to a single context, which contrasts the underpinnings
of the first pillar.</p>
      <p>From the viewpoint of these pillars context has been identified as an important
factor for supporting learning processes, which is likely to be supported by
visualizing social dynamics to the actors in informal learning. However, both, the
theoretical models of self-regulation and the applied visualizations have not yet
considered context as a dimension for supporting learning.</p>
      <p>Grounded on these pillars our research objective is to analyze if and how indicators
can support informal learning in different contexts. For this reason the concept of a
smart indicator has been introduced. A smart indicator is defined as a context aware
indicator system, which dynamically aligns data sources, data aggregation, and data
presentation to the current context of a learner [8].</p>
    </sec>
    <sec id="sec-3">
      <title>Question of Research</title>
      <p>Considering this, our research seeks to answer the following question: how to support
learners in unstructured and emerging environments to become aware of their often
unconscious learning processes? The objective of our research is to identify
contextual dimensions for learner support in unstructured environments, in which no
predefined curriculum and explicit educational guidance is available, and users might
be at very different stages on their learning course.</p>
      <p>Our particular interest is the application of interaction footprints for both
determining appropriate support strategies and as a source of information that is
suitable for stimulating learning in unstructured settings.</p>
    </sec>
    <sec id="sec-4">
      <title>Reviews, Designs, and Experiments</title>
      <p>In order to develop a better understanding of supporting strategies in informal
learning, a literature review [10], two design studies [8, 12], and three experiments [9,
11] have been conducted. By the time of this writing, one experiment is still in
progress.</p>
      <p>The literature review [10] shows that there are various approaches of visualizing
social dynamics by using interaction footprints of the users of online systems. The
review also showed that the focus of research was on aggregating and visualizing
information, mostly at the level of design studies or functional prototypes. The review
had three important findings. The first finding is the lack of empirical grounding for
the benefits of the different types of visualizations for the learning process. The
second finding is that data for visualization is mostly randomly selected. The third
finding of the review is the visualization is not analyzed regarding the context, in
which the information is presented to the users.</p>
      <p>The first design study [8] implemented a smart indicator on top of a community
information system. Based on the general findings of prior literature research an
adaptation strategy has been proposed for the indicator. This adaptation strategy was
based on two abstract information visualizations. Both visualizations were personal
bar charts of the user’s activity. For contextualizing the presented information we
choose “participation” as the key context dimension.</p>
      <p>We analyzed in the first experimental study [9], if the assumptions for adapting the
indicator to the participation level could be verified. For this purpose we used the
system with the two visualizations of the earlier design study. Different to the
proposed design, the indicator was non-adaptive. This way it we analyzed if the
assumed contextual differences of “reading” the visualizations could be found in
practice. Through this experiment we were able to partially verify our assumptions for
one of the visualizations, whereas the other visualization appeared to be of little
benefit for informal learning.</p>
      <p>While the first experiment focused on the visualization of general user activity, the
second experiment [11] analyzed if more specific information of user activity might
be used to stimulate reflection. This experiment focused at the differences between
the explicit uses of tagged resources in comparison with their implicit uses while
reading. The purpose of this experiment was to understand if explicit interest
expressions provide different information than implicit interest expressions, and if the
reading habits are comparable for users at different levels of participation. The key
findings of this experiment confirmed both assumptions. This means that visualizing
implicit interest expressions to the users can help to unveil information to the users, of
which they were not aware of.</p>
      <p>The second design study [12] focused on visualizing different types of tagging
information in a “tag cloud” for stimulating reflection. This design study encoded
different information of the personal uses of a user’s tags in social bookmarking.
From an educational perspective this study helped to identify three types of reflecting
on web readings. First, relating browsing and tagging habits to external tasks; second,
controlling and directing their web readings towards interests or tasks; and third,
linking topics and tags on a conceptual level.</p>
      <p>A third experiment is currently running. It analyses if the findings of the second
design study could be verified for a larger user group and if these findings refer to
more general principles.
The presented research identified that the visualization of interaction footprints can
change the learners’ perspective on the learning activities independently from the
actual resources. Additionally, we found that visualized information has contextual
meaning to the participants. From the design of the indicators we found that those
visualizations that create a relational tension in the perception of the learners helped
to translate the visualization into meaningful information and stimulated reflection.
We call the visualized information “peripheral information”, because it is mostly
independent from the core application logic.</p>
      <p>The important aspect of peripheral information is the relation to the learners’
context. I.e. this information needs to allow the learners to contextualize the
information and to allow meaningful interpretations that are relevant to the learners’
context. From the perspective of technology enhanced learning, peripheral
information is interesting because it can be used to support awareness and stimulate
reflection of learners by providing referral hooks that are independent from explicit
learning objectives, contents or didactics.</p>
    </sec>
    <sec id="sec-5">
      <title>Conclusions</title>
      <p>This paper focused on supporting reflection in unstructured and emerging learning
settings. Because concepts and structures are moving targets in these settings, we
decided to utilize support strategies that are independent from the actual concepts,
structures, or processes. Instead, we designed an environment that visualizes
interaction footprints of the learners for stimulating their reflection. Our research has
shown that the visualisations can be designed independently from the pre-defined
concepts, structures, and processes, but that they have to allow the learners to relate
themselves to the information. The latter appears to be dependent on the learner’s
context. Given to our findings the idea of “peripheral information” is the design
principle for information visualisation for supporting informal learning.</p>
    </sec>
    <sec id="sec-6">
      <title>Acknowledgements</title>
      <p>This paper is (partly) sponsored by the TENCompetence Integrated Project that is
funded by the European Commission's 6th Framework Programme, priority
IST/Technology Enhanced Learning. Contract 027087 (www.tencompetence.org).</p>
    </sec>
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