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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Motivating Behavioral Change through Personalized Visual Narratives</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>CCS Concepts</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Personalized Visual Narratives</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Learner Motivation</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Information Visualization.</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Bilal Yousuf ADAPT Center, School of Computer Science and Statistics, Trinity College Dublin</institution>
          ,
          <country country="IE">Ireland</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Owen Conlan ADAPT Center, School of Computer Science and Statistics, Trinity College Dublin</institution>
          ,
          <country country="IE">Ireland</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Human centered computing ➝ Information Visualization • Applied Computing ➝ E-Learning</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>This paper discusses the introduction of personalized explorable visual narratives into the Technology Enhanced Learning domain, which were used by 233 students as part of their undergraduate degree program during two successive academic years. The research proposes evaluating the usage of visual narratives to indicate positive behavioral change in student engagement levels. It highlights the impact that the personalized explorable visual narratives had on the students with poor levels of engagement with course content, by instilling behavioral change through visual narrative interactions, which ultimately motivated them to improve their engagement levels.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Engagement and</p>
    </sec>
    <sec id="sec-2">
      <title>1. INTRODUCTION</title>
      <p>
        As Technology Enhanced Learning (TEL) environments are
continuously growing in popularity, the challenge of addressing
poor student engagement with course content when using these
technologies needs to be tackled. One way to addressing poor
student engagement when using TEL environments is to provide
learners with visual narratives that can be navigated and explored
to help them make sense of their personal course related activity
data. Information Visualization (IV) provides an effective means to
comprehend data and supports pattern discoveries [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. The
literature in IV also highlights the effectiveness of visual
interactions and visual narratives [
        <xref ref-type="bibr" rid="ref3 ref4">3, 4</xref>
        ]. This paper discusses the
evaluation of VisEN, a framework which focusses on instilling
behavioral change in students through adaptive and explorable
visual narratives.
      </p>
      <p>
        Typically, adaptive learning systems evaluate students’
understanding and uptake of course content [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], but do not
specifically focus on usage. This work takes the opportunity to
deploy personalized explorable visual narratives (shown to be
useful in IV [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]) to the TEL domain to address behavioral change
in poorly engaging learners by interacting with their narratives.
VisEN was deployed to AMAS, a Personalized Learning
Environment (PLE) used by students enrolled into the Information
Management and Data Engineering course in Trinity College
Dublin [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. VisEN has been used to present personalized and
explorable visual narratives (hereafter, referred to as visual
narratives) to individual students focusing on course engagement,
activities, resource usage and peer comparisons. Findings showed
that the majority of students that improved their engagement with
their course content were motivated to do so through the usage of
their visual narratives.
      </p>
    </sec>
    <sec id="sec-3">
      <title>2. APPROACH</title>
      <p>The VisEN framework supports the construction and consumption
of visual narratives. Authors (educators with an understanding of
student data) use VisEN to build narratives that are automatically
complemented with appropriate visualizations. The framework
enables authors to connect to tabular data sources, including
databases and uploading data from the file system (CSV and MS
Excel formats are supported). It supports the construction of
individual segments of visual narratives through drag and drop
operations and automatically suggest sequences to the narrative by
adjusting and mapping query terms to build related views. These
related views can be used as sequences within the visual narrative.
Student logged data from the AMAS PLE was used by educators to
construct a visual narrative, which was then dynamically
personalized to individual students and made available to them
during the course.</p>
      <p>
        The visual narratives communicated to each student his/her current
engagement with the course content, times spent on activities and
resources used [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. The visual narrative used a similar format as
those used by the state of the art in IV and journalism [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], which
consisted of web browser tabs, where each tab consist of a segment
of the visual narrative (textual description, title and a visualization).
The visual narratives included automatically generated
explorations that were made available to the students as they
navigated through their narratives. The explorations were generated
using data related to individual segments of the visual narratives
and were made available as links in each tab. The purpose of these
explorations was to enable students to gain a better understanding
of the narrative through data that was related to individual narrative
segments. Clicking an exploration link generated a related data
visualization that was available through a popup window. Ensuring
the explorations were separated from the visual narrative was
important to maintaining a balance between reader-driven and
author-driven narratives [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. This work takes the opportunity of
introducing visual narratives into the TEL domain and supports the
consumption through explorations that show data related to the
individual sections of the visual narrative.
      </p>
    </sec>
    <sec id="sec-4">
      <title>3. EVALUATION</title>
      <p>Visual narratives were made available to the 233 (two groups of
learners across two academic years: 2013-2014 and 2014-2015),
studying the Information Management and Data Engineering
course at using the AMAS PLE. The visual narratives provided a
message individualized to each student informing him/her how
he/she was engaging with course content, resources used and time
spent on activities. The visual narratives also provided students
with peer comparisons. The evaluation included a study that
assessed the impact that the visual narratives had on behavioral
change of students with poor levels of course engagement. It
focused on usage of visual narratives rather than understanding and
uptake of course content to assess behavioral change.</p>
      <p>The AMAS PLE sent regular notifications to students informing
them of their level of engagement with their course content. The
notifications were categorized by level of engagement: bad, poor,
above average, good and excellent. The study analyzed all the
students that received an engagement notification in the bad and
poor categories at any point during the course. It then grouped
students that improved their engagement (went from bad or poor to
above average or higher categories) and identified these as
‘improved learners’. It also grouped the students that received an
engagement notification in the bad and poor categories but did not
show the same level of improvement (i.e. remained at the same
engagement level or went from bad to poor) and identified these as
‘unimproved students’. It compared the visual narrative usage of
both of these student groups to determine if the visual narrative had
any impact on the improvement of the former group. From the 233
students that participated in the course over the two academic years,
97 learners were identified as ‘improved students’ and 98 learners
were identified as ‘unimproved students’. The remaining 38
students constantly received an above average or higher
engagement notification throughout the course and hence were not
included in this study.</p>
      <p>The study found that the ‘improved students’ showed a very large
increase in usage of their visual narratives during the period when
their engagement improved. 80% of these learners showed a
minimum of a four-fold increase in their visual narrative
interactions during this period and constantly revisited their visual
narratives as they worked through their activities. The visual
narrative usage patterns of these students during the period of
improved engagement was analyzed. The analysis showed that the
students at the start would navigate through the entire visual
narrative and view the explorations and then as they worked
through their course content, they viewed specific elements of the
visual narrative. The study also found that 72% of these students
executed half of their total visual narrative interactions on the first
day after reading the bad or poor engagement notification,
indicating that they were drawn to their visual narratives to
understand a bad or poor engagement notification. A post-course
questionnaire was completed by the students during both academic
years. One of the statements in the questionnaire addressed
behavioral change: The visualizations motivated me to engage with
the course. The responses (using a five point Likert scale) showed
that 71% of the ‘improved students’ either strongly agreed or
agreed with this statement.</p>
      <p>For the ‘unimproved learners’, the result of the study highlighted
that the vast majority of these students had a small difference in the
usage of their visual narrative during both engagement periods. One
third of these students did not view their visual narratives during
both engagement periods and the visual narrative usage for the
majority of this group of learners remained constantly low.
However, 15% of these students did show a four-fold increase in
visual narratives usage during the subsequent period but
importantly their engagement improved from bad to poor.
It is important to note that visual narrative usage was distinct from
course engagement. Interacting the visual narratives did not impact
course engagement. In addition, students needed to navigate to a
specific section of the PLE in order to view their visual narratives,
which was optional. Hence high course engagement did not
necessarily equate to high visual narrative usage and poor course
engagement also did not equate to low visual narrative usage.</p>
    </sec>
    <sec id="sec-5">
      <title>4. CONCLUSIONS</title>
      <p>This paper discussed a study focusing on usage of visual narratives
produced by the VisEN framework and provided to 233 students
using the AMAS PLE as part of their degree course in Trinity
College Dublin. The framework introduced personalized
explorable visual narratives into the TEL domain to promote
student course engagement through behavioral change instilled by
the usage of their visual narratives. The evaluation highlighted that
when students’ course engagement was poor, their visual narrative
usage was low. However, when visual narrative usage was high, the
course engagement improved. In addition, the majority of students
that improved their course engagement highlighted that the visual
narratives motivated them to do so. These findings clearly showed
that repeated visual narrative usage instilled a positive behavioral
change in learners, which promoted course engagement.</p>
    </sec>
    <sec id="sec-6">
      <title>5. ACKNOWLEDGMENTS</title>
      <p>This research is supported by the ADAPT Centre for Digital
Content Technology under the SFI Research Centre’s Program
(Grant 13/RC/2106) and is co-funded under the European Regional
Development Fund.</p>
    </sec>
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  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Card</surname>
            ,
            <given-names>S. K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mackinlay</surname>
            ,
            <given-names>J. D.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Shneiderman</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          <year>1999</year>
          .
          <article-title>Readings in information visualization: using vision to think</article-title>
          . Morgan Kaufmann. Publishers Inc., San Francisco, CA, USA..
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Cheema</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gulwani</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          , and LaViola,
          <string-name>
            <surname>J.</surname>
          </string-name>
          <year>2012</year>
          .
          <article-title>QuickDraw: improving drawing experience for geometric diagrams</article-title>
          .
          <source>In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems:</source>
          <fpage>1037</fpage>
          -
          <lpage>1064</lpage>
          . ACM.
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Kosara</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hauser</surname>
            ,
            <given-names>H.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Gresh</surname>
            ,
            <given-names>D. L.</given-names>
          </string-name>
          <year>2003</year>
          .
          <article-title>An interaction view on information visualization</article-title>
          .
          <source>State-of-theArt Report. Proceedings of EUROGRAPHICS..</source>
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Kosara</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Mackinlay</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          <year>2013</year>
          .
          <article-title>Storytelling: The next step for visualization</article-title>
          .
          <source>Computer</source>
          . 5, (May
          <year>2013</year>
          )
          <fpage>44</fpage>
          -
          <lpage>50</lpage>
          ..
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>Segel</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Heer</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          <year>2010</year>
          .
          <article-title>Narrative visualization: telling stories with data</article-title>
          .
          <source>IEEE Transactions on Visualization and Computer Graphics</source>
          <volume>16</volume>
          ,
          <issue>6</issue>
          (Nov
          <year>2010</year>
          ):
          <fpage>1139</fpage>
          -
          <lpage>1148</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Staikopoulos</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>O'Keeffe</surname>
            ,
            <given-names>I.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Rafter</surname>
            ,
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Walsh</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Yousuf</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Conlan</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Wade</surname>
            ,
            <given-names>V.</given-names>
          </string-name>
          <year>2014</year>
          .
          <article-title>AMASE: A framework for supporting personalised activity-based learning on the web</article-title>
          .
          <source>Computer Science and Information Systems</source>
          ,
          <volume>11</volume>
          ,
          <issue>1</issue>
          ,
          <fpage>343</fpage>
          -
          <lpage>367</lpage>
          . DOI=
          <volume>10</volume>
          .2298/CSIS121227012S.
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <article-title>[7] The NewYork Times</article-title>
          , http://nyti.ms/sFYztk. 2007
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Yousuf</surname>
            ,
            <given-names>B.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Conlan</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          <year>2014</year>
          .
          <article-title>Enhancing Learner Engagement through Personalized Visual Narratives</article-title>
          .
          <source>In Advanced Learning Technologies (ICALT)</source>
          ,
          <year>2014</year>
          IEEE 14th International Conference on (pp.
          <fpage>89</fpage>
          -
          <lpage>93</lpage>
          ). IEEE.
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>