Contents at a Glance
Workshop 1: LAK Data Challenge 2014
Edited by
Hendrik Drachsler
, Welten Institute, Open Universiteit Nederland, The Netherlands.
Stefan Dietze
, L3S Research Center, Leibniz University Hannover, Germany.
Eelco Herder
, L3S Research Center, Leibniz University Hannover, Germany.
Mathieu d'Aquin KMI
, The Open University, Milton Keynes, UK.
Davide Taibi
, CNR, Institute for Educational Technologies, Italy.
Table of Contents
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Deconstruct and Reconstruct: Using Topic Modeling on an Analytics Corpus
Mike Sharkey, Mohammed Ansari
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RecLAK: Analysis and Recommendation of Interlinking Datasets
Giseli Rabello Lopes, Luiz André P. Paes Leme, Bernardo Pereira Nunes, Marco A. Casanova
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Spiral me to the core: Getting a visual grasp on text corpora through clusters and keywords
Maren Scheffel, Katja Niemann, Sarah Leon Rojas, Hendrik Drachsler, Marcus Specht
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A Linked-Data-Driven Web Portal for Learning Analytics: Data Enrichment, Interactive Visualization, and Knowledge Discovery
Yingjie Hu, Grant McKenzie, Jiue-An Yang, Song Gao, Amin Abdalla, Krzysztof Janowicz
Workshop 2: Learning Analytics and Machine Learning
Edited by
George Siemens
, Athabasca University / University of Texas Arlington, Canada / USA.
Carolyn P. Rosé
, Carnegie Mellon University, USA.
Dragan Gasevic
, Athabasca University, Canada.
Annika Wolff
, KMI, Open University, UK.
Zdenek Zdrahal
, KMI, Open University, UK.
Table of Contents
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Automated Cognitive Presence Detection in Online Discussion Transcripts
Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic, Marek Hatala
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Developing predictive models for early detection of at-risk students on distance learning modules
Annika Wolff, Zdenek Zdrahal, Drahomira Herrmannova, Jakub Kuzilek, Martin Hlosta
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Towards A General Method for Building Predictive Models of Learner Success using Educational Time Series Data
Christopher A. Brooks, Craig Thompson, Stephanie Teasley
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Modelling student online behaviour in a virtual learning environment
Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdrahal, Annika Wolff
Workshop 3: Computational Approaches to Connecting Levels of Analysis in Networked Learning Communities
Edited by
H. Ulrich Hoppe
, University of Duisburg-Essen, Germany.
Daniel D. Suthers
, University of Hawaii, USA.
Table of Contents
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Preface
H. Ulrich Hoppe, Daniel D. Suthers
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Multilevel Analysis of Uptake, Sessions, and Key Actors in a Socio-Technical Network
Daniel D. Suthers, Nathan Dwyer
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Connecting Analysis of Speech Acts and Performance Analysis - An Initial Study
Agathe Merceron
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Ubiquitous Learning Analytics Using Learning Logs
Hiroaki Ogata, Songran Liu, Kousuke Mouri
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Supporting Science Communication in a Museum using Ubiquitous Learning Logs
Hiroaki Ogata, Kousuke Mouri, Mayumi Bono, Ayami Joh, Katsuya Takanashi, Akihiko Osaki, Hiromi Ochiai
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Integration of a Flexible Analytics Workbench with a Learning Platform for Medical Specialty Training
Tilman Göhnert, Sabrina Ziebarth, Per Verheyen, H. Ulrich Hoppe
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A Web-based Tool for Communication Flow Analysis of Online Chats
H. Ulrich Hoppe, Tilman Göhnert, Laura Steinert, Christopher Charles
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Automated CSCL Group Assessment: Activity Theory based Computational Method
Wanli Xing, Sean Goggins
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Fostering a Learning Community in MOOCs
Cindy E. Hmelo-Silver, Carolyn P. Rosé, Jeff Levy