LADS 2013 - INTERNATIONAL WORKSHOP ON LEARNING ANALYTICS, DESIGN AND SYSTEMS LADS'13

INTERNATIONAL WORKSHOP ON LEARNING ANALYTICS, DESIGN AND SYSTEMS
LADS'13
5th of June 2013
in conjunction with
ECIS 2013 - The 21st European Conference on Information Systems
http://lads.eiura.org
Important Dates:
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Deadline for papers: March 15, 2013
Author notification: April 15, 2013
Final version: May 6, 2013
Workshop date: June 5, 2013
Background:
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The workshop concentrates on research problems related to learning analytics and attempts to bring researchers and practitioners together discussing and sharing advanced ideas and preliminary results in learning analytics research.
Higher education, a field that gathers an enormous amount of data about learners has traditionally been inefficient in its data use, often operating with substantial delays in analysing readily available data. Organisational processes such as planning and resource allocation often fail to utilize the available data on effective learning practices, student profiles, and required interventions. The increasing impact of analytics and data based decision making on other fields provides support for the application of these methods in education. Analytics provides a new model for educators and leaders in education to improve decision making about the teaching and learning process. Growing interest in big data and analytics in education, teaching, and learning provides the motivation for more research into the models, methods, technologies, and impact of analytics. A research community, Learning Analytics and Knowledge (LAK) has developed to address this need as well as the related research community, Educational Data Mining (EDM). This workshop provides a space for communication and collaboration between these communities in order to share research, methods, and tools for analytics and data mining and in the service of developing both LAK and EDM fields.
Relevant Topics:
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The international workshop on learning analytics design and systems seeks submissions describing advanced ideas and preliminary results, including applied and basic research papers, as well as case studies and experiences that address various aspects of learning analytics. Areas of particular interest for the track include (but are not limited to):
Learning Analytics Context:
? Integrative frameworks for Learning Analytics
? Analytics Process Models
? Analytics Management and Improvement
? Values and Benefits of Learning Analytics
? Educational research and Learning Analytics
? LA and ethical issues/privacy/trust
Learning Analytics Applications:
? Data mining techniques for Learning Analytics
? Large-scale Educational Data Analytics
? Cloud Learning Analytics
? Open Data and Learning Analytics
? Case studies on Learning Analytics
Learning Analytics Technologies:
? Cognitive Models of Learning Styles
? Integrating Learning Analytics with Technology Enhanced Learning (TEL)
? Teaching and Learning Ontologies
? Learning Analytics and Process Mining
? Standardisation and Interoperability
? Tools and Best Practices in Learning Analytics
Submission and selection process:
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Submissions must be original, and not submitted to, or accepted by, any conference or journal. All submitted papers will be reviewed and selected by an international program committee. Selection criteria include relevance for the LADS workshop, importance of topic, originality of work, presentation and contribution to theory or practice.
Proceedings:
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Accepted papers will be published in the workshop proceedings, which will be available at the workshop. Selected papers from the workshop will be published in a special issue of an international journal (e.g. the Journal of Information Technology Education).
Contact and Chairs:
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Phelim Murion, Galway-Mayo Institute of Technology, Ireland
phelim.murnion-AT-gmit.ie
Andrzej Niesler, Wroclaw University of Economics, Wroclaw, Poland
andrzej.niesler-AT-ue.wroc.pl
Markus Helfert, Dublin City University, Ireland
markus.helfert-AT-dcu.ie
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Dr. Markus Helfert
School of Computing
Dublin City University
Glasnevin
Dublin 9, Ireland
Visiting researcher at:
Deutsche Telekom Institute for Connected Cities (TICC)
Zeppelin Universität, Germany
http://www.zu.de
Director Business Informatics Research Group
http://www.computing.dcu.ie/big/
IVI Research Fellow
http://www.ivi.ie/
Programme Chair European MSc in Business Informatics
Lecturer and Researcher in Information Systems
http://www.computing.dcu.ie/europeanmbi/
Phone: +353-1-700-8727
Fax: +353-1-700-5442
Office: L2.26
Email: markus.helfert-AT-computing.dcu.ie
http://www.computing.dcu.ie