From Inaction to Interaction: Concept and Application of the Null Gesture
alt.chi: See this, hear this, touch this, keep this
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Seipp, Karsten
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Verbert, Katrien
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.525-540
© Copyright 2016 ACM
Summary: Gestures in HCI often have a meaning in the real world or are specifically
designed for an application. They have a definition and purpose. We introduce
Null Gestures: Bodily utterances that have no clearly defined purpose or
meaning, such as rubbing one's chin while thinking. They exist, but their
assignment is 'Null'. Using the computer, we help users unlock their potential
by giving them a meaning in the human-computer dialogue. We thus hope to
instigate a discussion about their potential use in HCI and the role of the
computer as an enabler for the discovery of unused motor abilities.
VISLA: visual aspects of learning analytics
Workshop
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Duval, Erik
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Verbert, Katrien
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Klerkx, Joris
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Wolpers, Martin
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Pardo, Abelardo
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Govaerts, Sten
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Gillet, Denis
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Ochoa, Xavier
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Parra, Denis
LAK'15: 2015 International Conference on Learning Analytics and Knowledge
2015-03-16
p.394-395
© Copyright 2015 ACM
Summary: In this paper, we briefly describe the goal and activities of the LAK15
workshop on Visual Aspects of Learning analytics.
Learning analytics as a "middle space"
Reflections on learning analytics
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Suthers, Dan
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Verbert, Katrien
LAK'13: 2013 International Conference on Learning Analytics and Knowledge
2013-04-08
p.1-4
© Copyright 2013 ACM
Summary: Learning Analytics, an emerging field concerned with analyzing the vast data
"given off" by learners in technology supported settings to inform educational
theory and practice, has from its inception taken a multidisciplinary approach
that integrates studies of learning with technological capabilities. In this
introduction to the Proceedings of the Third International Learning Analytics &
Knowledge Conference, we discuss how Learning Analytics must function in the
"middle space" where learning and analytic concerns meet. Dialogue in this
middle space involves diverse stakeholders from multiple disciplines with
various conceptions of the agency and nature of learning. We hold that a
singularly unified field is not possible nor even desirable if we are to
leverage the potential of this diversity, but progress is possible if we
support "productive multivocality" between the diverse voices involved,
facilitated by appropriate use of boundary objects. We summarize the submitted
papers and contents of these Proceedings to characterize the voices and topics
involved in the multivocal discourse of Learning Analytics.
Addressing learner issues with StepUp!: an evaluation
Visualization to support awareness and reflection
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Santos, Jose Luis
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Verbert, Katrien
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Govaerts, Sten
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Duval, Erik
LAK'13: 2013 International Conference on Learning Analytics and Knowledge
2013-04-08
p.14-22
© Copyright 2013 ACM
Summary: This paper reports on our research on the use of learning analytics
dashboards to support awareness, self-reflection, sensemaking and impact for
learners. So far, little research has been done to evaluate such dashboards
with students and to assess their impact on learning. In this paper, we present
the results of an evaluation study of our dashboard, called StepUp!, and the
extent to which it addresses issues and needs of our students. Through
brainstorming sessions with our students, we identified and prioritized
learning issues and needs. In a second step, we deployed StepUp! during one
month and we evaluated to which extent our dashboard addresses the issues and
needs identified earlier in different courses. The results show that our tool
has potentially higher impact for students working in groups and sharing a
topic than students working individually on different topics.
Visualizing recommendations to support exploration, transparency and
controllability
Visualization
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Verbert, Katrien
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Parra, Denis
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Brusilovsky, Peter
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Duval, Erik
Proceedings of the 2013 International Conference on Intelligent User
Interfaces
2013-03-19
v.1
p.351-362
© Copyright 2013 ACM
Summary: Research on recommender systems has traditionally focused on the development
of algorithms to improve accuracy of recommendations. So far, little research
has been done to enable user interaction with such systems as a basis to
support exploration and control by end users. In this paper, we present our
research on the use of information visualization techniques to interact with
recommender systems. We investigated how information visualization can improve
user understanding of the typically black-box rationale behind recommendations
in order to increase their perceived relevance and meaning and to support
exploration and user involvement in the recommendation process. Our study has
been performed using TalkExplorer, an interactive visualization tool developed
for attendees of academic conferences. The results of user studies performed at
two conferences allowed us to obtain interesting insights to enhance user
interfaces that integrate recommendation technology. More specifically,
effectiveness and probability of item selection both increase when users are
able to explore and interrelate multiple entities -- i.e. items bookmarked by
users, recommendations and tags.
Recommender systems challenge 2012
Workshop outlines
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Manouselis, Nikos
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Said, Alan
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Tikk, Domonkos
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Hermanns, Jannis
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Kille, Benjamin
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Drachsler, Hendrik
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Verbert, Katrien
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Jack, Kris
Proceedings of the 2012 ACM Conference on Recommender Systems
2012-09-09
p.353-354
© Copyright 2012 ACM
Summary: The Recommender System Challenge 2012 invited participants to work on two
tracks with real-world datasets and to submit their contributions that would be
related to specific problem contexts. First of all, it asked participants to
develop new algorithms and to compare them to other algorithms in given
settings; in addition, it asked participants to explore with new recommendation
methods, services, as well as added-value services related to recommendation.
The student activity meter for awareness and self-reflection
Case studies
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Govaerts, Sten
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Verbert, Katrien
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Duval, Erik
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Pardo, Abelardo
Extended Abstracts of ACM CHI'12 Conference on Human Factors in Computing
Systems
2012-05-05
v.2
p.869-884
© Copyright 2012 ACM
Summary: Visualization of user actions can be used in Technology Enhanced Learning to
increase awareness for learners and teachers and to support self-reflection. In
this paper, we present our Student Activity Meter that visualizes learner
actions. We present four design iterations and results of both quantitative and
qualitative evaluation studies in real-world settings that assess the
usability, use and usefulness of different visualizations. Results indicate
that our tool is useful for a variety of teacher and learner needs, including
awareness of time spent and resource use. Tools like SAM can also be deployed
in other settings that require awareness and self-reflection, e.g. in personal
informatics and health monitoring, where motivated users will value the
flexible mechanisms to analyze trending data.
1st International Workshop on Learning Analytics and Linked Data
Workshop
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Drachsler, Hendrik
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Dietze, Stefan
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Greller, Wolfgang
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D'Aquin, Mathieu
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Jovanovic, Jelena
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Pardo, Abelardo
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Reinhardt, Wolfgang
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Verbert, Katrien
LAK'12: 2012 International Conference on Learning Analytics and Knowledge
2012-04-29
p.9-10
© Copyright 2012 ACM
Summary: The main objective of the 1st International Workshop on Learning Analytics
and Linked Data (#LALD2012) is to connect the research efforts on Linked Data
and Learning Analytics in order to create visionary ideas and foster synergies
between the two young research fields. Therefore, the workshop will collect,
explore, and present datasets, technologies and applications for Technology
Enhanced Learning (TEL) to discuss Learning Analytics approaches that make use
of educational data or Linked Data sources. During the workshop, an overview of
available educational datasets and related initiatives will be given. The
participants will have the opportunity to present their own research with
respect to educational datasets, technologies and applications and discuss
major challenges to collect, reuse, and share these datasets.
Goal-oriented visualizations of activity tracking: a case study with
engineering students
Visual analytics
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Santos, Jose Luis
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Govaerts, Sten
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Verbert, Katrien
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Duval, Erik
LAK'12: 2012 International Conference on Learning Analytics and Knowledge
2012-04-29
p.143-152
© Copyright 2012 ACM
Summary: Increasing motivation of students and helping them to reflect on their
learning processes is an important driver for learning analytics research. This
paper presents our research on the development of a dashboard that enables
self-reflection on activities and comparison with peers. We describe evaluation
results of four iterations of a design based research methodology that assess
the usability, use and usefulness of different visualizations. Lessons learned
from the different evaluations performed during each iteration are described.
In addition, these evaluations illustrate that the dashboard is a useful tool
for students. However, further research is needed to assess the impact on the
learning process.
Dataset-driven research for improving recommender systems for learning
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Verbert, Katrien
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Drachsler, Hendrik
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Manouselis, Nikos
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Wolpers, Martin
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Vuorikari, Riina
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Duval, Erik
LAK'11: 2011 International Conference on Learning Analytics and Knowledge
2011-02-27
p.44-53
© Copyright 2011 ACM
Summary: In the world of recommender systems, it is a common practice to use public
available datasets from different application environments (e.g. MovieLens,
Book-Crossing, or Each-Movie) in order to evaluate recommendation algorithms.
These datasets are used as benchmarks to develop new recommendation algorithms
and to compare them to other algorithms in given settings. In this paper, we
explore datasets that capture learner interactions with tools and resources. We
use the datasets to evaluate and compare the performance of different
recommendation algorithms for learning. We present an experimental comparison
of the accuracy of several collaborative filtering algorithms applied to these
TEL datasets and elaborate on implicit relevance data, such as downloads and
tags, that can be used to improve the performance of recommendation algorithms.
Workshop on recommender systems for technology enhanced learning
Workshop program
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Manouselis, Nikos
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Drachsler, Hendrik
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Verbert, Katrien
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Santos, Olga C.
Proceedings of the 2010 ACM Conference on Recommender Systems
2010-09-26
p.377-378
© Copyright 2010 ACM
Summary: This workshop presents the current status related to the design, development
and evaluation of recommender systems in educational settings. It emphasizes
the importance of recommender systems for Technology Enhanced Learning (TEL) to
support learners with personalized learning resources and suitable peer
learners to improve their learning process. Moreover, it proposes a dataTEL
challenge to obtain data sets from TEL applications that can be used to
benchmark algorithms specifically for the TEL context.
Ontology-based learning content repurposing
Posters
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Verbert, Katrien
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Dragan Gasevic, A
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Jelena Jovanovic, A
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Duval, Erik
Proceedings of the 2005 International Conference on the World Wide Web
2005-05-10
v.2
p.1140-1141
Keywords: content models, learning objects, metadata, ontologies, repurposing
© Copyright 2005 International World Wide Web Conference Committee (IW3C2)
Summary: This paper investigates basic research issues that need to be addressed for
developing an architecture that enables repurposing of learning objects in a
flexible way. Currently, there are a number of Learning Object Content Models
(e.g. the SCORM Content Aggregation Model) that define learning objects and
their components in a more or less precise way. However, these models do not
allow repurposing of fine-grained components (sentences, images). We developed
an ontology-based solution for content repurposing. The ontology is a solid
basis for an architecture that will enable on-the-fly access to learning object
components and that will facilitate repurposing these components.
