Call for Secondary Submissions and Participation:
LAK13: Third International Conference on Learning Analytics & Knowledge
8-12 April, Leuven, Belgium
Poster, Informal Demonstration, Doctoral Consortium, and Workshop Participation
Submissions due *** January 31, 2013 ***
The International Learning Analytics & Knowledge Conference, now in its third year, is a venue for reporting research at the nexus of two emerging societal phenomena. First we are witnessing the rapid expansion of the use of technologies to support learning, not only in established institutional contexts and platforms, but also in the emerging landscape of free, open, social learning online. Second, the unprecedented availability of data that learners generate in the process of accessing learning materials, interacting with educators and peers, and creating new content in these technological settings, coupled with advances in analytics and data mining, knowledge modeling and representation and open data offer great potential for research into how learning takes place in socio-technical settings and the development of new forms of analytics that can inform learners and educators. Learning Analytics research brings these technical, pedagogical, and social domains into dialogue with each other to ensure that interventions and organizational systems serve the needs of all stakeholders.
Papers have already been submitted and reviewed: the accepted list is at
Submissions for Poster, Doctoral Consortium, and Workshop Participation are due January 31, 2013. Please see below for submission details and further information on the conference theme and topics.
Registration is now open:
OPEN SUBMISSION FORMATS
-- Posters
Posters are suitable for describing late-breaking results or for engaging conference participants in discussion of preliminary ideas or findings. Submit a 1-line title, the name(s) of the presenter(s), and an abstract limited to 100 words suitable for printing in the conference guide. This should be followed with up to two pages (for our review, not to be published) describing the concept or results to be presented, the expected interactions with conference participants, and the poster format that will support these interactions. (If available, a high-resolution image of the poster provided as the second page can fulfill this requirement, and is preferred. Easily visible graphics and large brief texts are encouraged rather than small text.) Submit to https://www.easychair.org/conferences/?conf=lak2013
-- Informal Demonstrations
A space (table top surface) and designated times for informal demonstrations of relevant software will be provided at the conference. Submit one page that includes a 1-line title, name of presenter, and an abstract limited to 100 words suitable for printing in the conference guide. This should be followed with up to two pages (for our review, not to be published) describing the software to be demonstrated, and the expected interactions with conference participants. Demonstrators should be prepared to interact with several conference participants at a time in an interactive and not excessively scripted manner. Submit to https://www.easychair.org/conferences/?conf=lak2013
-- Doctoral Consortium
A one-day consortium is being organized for doctoral students who are about to defend or have recently defended their proposals. Participating students will have the opportunity to present their proposed research to reputable faculty in learning analytics and obtain valuable advice. Other professional development and social networking activities will be included. Please see http://lakconference2013.wordpress.com/dc/ for submission information.
-- Workshop Participation
LAK workshops will provide conference participants with opportunities to interact intensively on a topic of shared interest. Workshop calls for participation are being distributed by workshop organizers. January 31st is the uniform date for priority submissions for participation in workshops, although workshops may accept later submissions on a space-available basis. Workshop organizers will specify submission requirements. Please see http://lakconference2013.wordpress.com/workshops/ for descriptions of workshops and submission requirements.
-- Tutorial Participation
LAK will also offer tutorials on selected topics, described at http://lakconference2013.wordpress.com/workshops/. No submission is required, other than registration at http://lakconference2013.wordpress.com/registration/.
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GENERAL CONFERENCE INFORMATION
THEME: Dialectics in Learning Analytics
The first two conferences have established the range of issues and approaches of concern in leveraging the availability of data about learning with powerful computational, representational and visualization techniques. This third conference is designed to consolidate the field by bringing these many voices into dialogue in a "middle space" under the overarching theme of "Dialectics in Learning Analytics", which has these facets:
The Middle Space: The conference will explore the middle space within which Learning and Analytics intersect, and seeks proposals for papers and events that explicitly connect analytic tools to theoretical and practical aspects of understanding and managing learning.
Productive Multivocality: Learning analytics is multidisciplinary, drawing on theories and methods from diverse research traditions. Our community includes educators, learning scientists, computer scientists, administrators, and policy makers, among others. The middle space serves as a topical "boundary object", enabling productive discourse between these many voices.
The Old and the New: We are facing a centuries old problem: to improve learning, but we are trying to solve it using a new set of tools, not available before. We address these problems in the city of Leuven: centuries old, lively new.
TOPICS
The following keywords will be used to classify submissions, and convey the breadth of topics covered. Authors are strongly encouraged to read the advice at http://lakconference2013.wordpress.com/for-authors/ concerning how papers should focus on some aspect of the intersection of learning and analytics.
* Analytic Approaches, Methods, and Tools for sensemaking in learning
analytics, including: algorithms, architectures, behavior modeling,
case studies, clustering, computational linguistics, concept
mapping, crowdsourcing, data integration, data mining, data sharing,
design-based research, research about design, discourse analysis,
educational research methods, ethnography, ethnomethodology,
evaluation methods, frameworks, grounded theory, information
visualization, interfaces for learning analytics, knowledge
representation, machine learning, natural language processing,
predictive analytics, recommendation engines, semantic web,
sequential analysis, social network analysis, social network
visualisation, statistical analysis, surveys, text mining, visual
learning analytics
* Theories and Theoretical Concepts for understanding learning,
including: activity theory, actor-network theory, affordances,
communities of practice, conceptual models of learning enabled by
analytics, connectivism, constructivism, distributed cognition,
networked individualism, reflective learning, situated learning,
social capital, social learning, sociocultural theory, structuration
theory, symbolic interactionism
* Measures of Learning, Change and Success, including: accreditation,
affect, emotions, and flow, analytic patterns, attendance and
retention (as predictors of learning), attention, attitudes,
collaboration and cooperation, community structure,
comprehension/understanding, conceptual change, degree of
competence, educational performance, expectations, learner behavior
modeling, learning dispositions, metacognition, misconceptions,
motivation, off-task behavior, organizational dynamics,
participation, satisfaction, social dynamics
* Learning Activities, Applications, and Interventions: adaptation,
analytic tools for learners, argumentation, assessment, awareness,
big data applications and opportunities, classroom orchestration,
collaborative learning, course management systems, decision-support
systems for learning, informing policy, instructor support,
intelligent tutoring systems, interventions based on analytics,
knowledge work, language learning, learning communities, learning
environments enhanced with analytics, learning how to learn,
lifelong learning, management of learning interventions or settings,
mentoring, open data and data access for learners, pedagogical
adjustment/intervention, personalization, predicting failure,
professional development, quantified self, reflection, scaffolding
and scripting, self-management of learning, student monitoring,
teacher analytics, teaching learning analytics
* Issues addressed may include: adoption strategies and barriers,
cultural issues, ethical considerations (e.g., privacy and
ownership), human factors, identity, legal aspects, privacy, social
change
* Media studied may include: blogging, chats, haptic media & tangible
computing, microblogging (twitter), mobile platforms, online
discussion forums, shared workspaces, social networking media,
video, whiteboards, wikis, and face-to-face interaction supported by
technology
* Settings of Learning include: blended online/face-to-face, distance
education, distributed work, face-to-face settings,
corporate/workplace, government, graduate education, harmonizing
individual and organizational learning, higher education, informal
learning, military, mobile and ubiquitous, online communities, open
university, primary school, secondary school, socio-technical
networks, university/postsecondary, virtual organizations
RELEVANT DATES
January 31: Workshop Participation, Poster, and Informal Demonstration Submissions Due
February 15: Workshop, Poster, and Demonstration Notification
February 15: Final Papers Due
March 1: Early Registration Deadline
April 8-12: Conference
CONFERENCE ORGANIZERS
Katholieke Universiteit Leuven (KULeuven) - http://www.kuleuven.be
Society for Learning Analytics Research (SoLAR) - http://www.solaresearch.org
General Chairs
-- Erik Duval, University of Leuven, Belgium
-- Xavier Ochoa, Escuela Superior Politécnica del Litoral, Ecuador
Program Chairs
-- Dan Suthers, University of Hawai'i, USA
-- Katrien Verbert, Eindhoven University of Technology, The Netherlands
Workshops and Tutorials Chairs
-- Ulrich Hoppe, University of Duisburg-Essen, Germany
-- Nikos Manouselis, Agro-Know, Greece
-- Alyssa Wise, Simon Fraser University, Canada
Doctoral Consortium Chairs
-- Ralf Klamma, RWTH Aachen University, Germany
-- Katherine Maillet, Institut National des Telecommunications, France
-- Ravi Vatrapu, Copenhagen Business School, Denmark
Awareness, Interaction and Memory Chairs
-- Tony Hirst, Institut National des Télécommunications, France
-- Doug Clow, Copenhagen Business School, Denmark
Local Chair
-- Joris Klerkx, University of Leuven, Belgium
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