LAK-WS 2014
Workshop Proceedings of LAK 2014

Proceedings of the Workshops at the LAK 2014 Conference
co-located with 4th International Conference on Learning Analytics and Knowledge (LAK 2014)

Indianapolis, Indiana, USA, March 24-28, 2014.

Edited by

Kalina Yacef *
Hendrik Drachsler **

* The University of Sydney, School of Information Science, Australia
** Welten Institute, Open University of the Netherlands, The Netherlands

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

  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

  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

2014-03-24: submitted by Kalina Yacef
2014-03-27: published on CEUR-WS.org |valid HTML5|