LAK-WS 2014
Workshop Proceedings of LAK 2014

Contents at a Glance

• LAK Data Challenge 2014
• Learning Analytics and Machine Learning
• Computational Approaches to Connecting Levels of Analysis in Networked Learning Communities

---

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

1. Deconstruct and Reconstruct: Using Topic Modeling on an Analytics Corpus
   Mike Sharkey, Mohammed Ansari
2. RecLAK: Analysis and Recommendation of Interlinking Datasets
   Giseli Rabello Lopes, Luiz André P. Paes Leme, Bernardo Pereira Nunes, Marco A. Casanova
3. 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
4. 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

1. Automated Cognitive Presence Detection in Online Discussion Transcripts
   Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic, Marek Hatala
2. Developing predictive models for early detection of at-risk students on distance learning modules
   Annika Wolff, Zdenek Zdrahal, Drahomira Herrmannova, Jakub Kuzilek, Martin Hlosta
3. Towards A General Method for Building Predictive Models of Learner Success using Educational Time Series Data
   Christopher A. Brooks, Craig Thompson, Stephanie Teasley
4. 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

• Preface
  H. Ulrich Hoppe, Daniel D. Suthers

1. Multilevel Analysis of Uptake, Sessions, and Key Actors in a Socio-Technical Network
   Daniel D. Suthers, Nathan Dwyer
2. Connecting Analysis of Speech Acts and Performance Analysis - An Initial Study
   Agathe Merceron
3. Ubiquitous Learning Analytics Using Learning Logs
   Hiroaki Ogata, Songran Liu, Kousuke Mouri
4. Supporting Science Communication in a Museum using Ubiquitous Learning Logs
   Hiroaki Ogata, Kousuke Mouri, Mayumi Bono, Ayami Joh, Katsuya Takanashi, Akihiko Osaki, Hiromi Ochiai
5. Integration of a Flexible Analytics Workbench with a Learning Platform for Medical Specialty Training
   Tilman Göhnert, Sabrina Ziebarth, Per Verheyen, H. Ulrich Hoppe
6. A Web-based Tool for Communication Flow Analysis of Online Chats
   H. Ulrich Hoppe, Tilman Göhnert, Laura Steinert, Christopher Charles
7. Automated CSCL Group Assessment: Activity Theory based Computational Method
   Wanli Xing, Sean Goggins
8. Fostering a Learning Community in MOOCs
   Cindy E. Hmelo-Silver, Carolyn P. Rosé, Jeff Levy