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ORCID2nd LAK 2012: Vancouver, BC, Canada
- Shane Dawson, Caroline Haythornthwaite, Simon Buckingham Shum, Dragan Gasevic, Rebecca Ferguson:
Second International Conference on Learning Analytics and Knowledge, LAK 2012, Vancouver, BC, Canada, April 29 - May 02, 2012. ACM 2012, ISBN 978-1-4503-1111-3
Keynote
- Barry Wellman:
Networked individualism: how the personalized internet, ubiquitous connectivity, and the turn to social networks can affect learning analytics. 1 - Katy Börner:
Visual analytics in support of education. 2-3 - George Siemens
:
Learning analytics: envisioning a research discipline and a domain of practice. 4-8
Workshop
- Hendrik Drachsler, Stefan Dietze, Wolfgang Greller, Mathieu d'Aquin, Jelena Jovanovic, Abelardo Pardo, Wolfgang Reinhardt, Katrien Verbert:
1st International Workshop on Learning Analytics and Linked Data. 9-10 - Daniel D. Suthers, Heinz Ulrich Hoppe, Maarten de Laat, Simon Buckingham Shum:
Connecting levels and methods of analysis in networked learning communities. 11-13 - Lori Lockyer, Shane Dawson:
Where learning analytics meets learning design. 14-15 - Sharon Slade, Fenella Galpin:
Learning analytics and higher education: ethical perspectives. 16-17
Panel
- Donald M. Norris, Linda Baer:
Building organizational capacity for analytics: panel proposal. 18-19 - Ryan Shaun Joazeiro de Baker, Simon Buckingham Shum, Erik Duval, John C. Stamper, David A. Wiley:
Educational data mining meets learning analytics. 20 - Sabine Graf, Cindy Ives, Lori Lockyer, Paul Hobson, Doug Clow:
Building a data governance model for learning analytics. 21-22
Social learning analytics
- Rebecca Ferguson, Simon Buckingham Shum:
Social learning analytics: five approaches. 23-33 - Walter Christian Paredes, Kon Shing Kenneth Chung:
Modelling learning & performance: a social networks perspective. 34-42 - Daniel D. Suthers, Kar-Hai Chu:
Multi-mediated community structure in a socio-technical network. 43-53 - Nazim Rahman, Jon Dron:
Challenges and opportunities for learning analytics when formal teaching meets social spaces. 54-58 - Bieke Schreurs, Maarten de Laat:
Network awareness tool - learning analytics in the workplace: detecting and analyzing informal workplace learning. 59-64 - Leyla Zhuhadar, Rong Yang:
Cyberlearners and learning resources. 65-68 - Darren Cambridge, Kathleen Perez-Lopez:
First steps towards a social learning analytics for online communities of practice for educators. 69-72
Adaptive-recommender systems
- Martin Schön, Martin Ebner, Georg Kothmeier:
It's just about learning the multiplication table. 73-81 - Robert Bramucci, Jim Gaston:
Sherpa: increasing student success with a recommendation engine. 82-83 - Christopher A. Brooks, Jim E. Greer, Carl Gutwin:
Using an instructional expert to mediate the locus of control in adaptive e-learning systems. 84-87 - Tim McKay, Kate Miller, Jared Tritz:
What to do with actionable intelligence: E2Coach as an intervention engine. 88-91
Analytics for reflective learning
- Simon Buckingham Shum, Ruth Deakin Crick:
Learning dispositions and transferable competencies: pedagogy, modelling and learning analytics. 92-101 - John McAuley, Alexander O'Connor, Dave Lewis:
Exploring reflection in online communities. 102-110 - Verónica Rivera-Pelayo, Valentin Zacharias, Lars Müller, Simone Braun:
Applying quantified self approaches to support reflective learning. 111-114 - Melody Siadaty, Dragan Gasevic, Jelena Jovanovic, Nikola Milikic, Zoran Jeremic, Liaqat Ali, Aleksandar Giljanovic, Marek Hatala:
Learn-B: a social analytics-enabled tool for self-regulated workplace learning. 115-119
Institutional perspectives
- Hendrik Drachsler, Wolfgang Greller:
The pulse of learning analytics understandings and expectations from the stakeholders. 120-129 - Paul Prinsloo, Sharon Slade, Fenella Galpin:
Learning analytics: challenges, paradoxes and opportunities for mega open distance learning institutions. 130-133 - Doug Clow:
The learning analytics cycle: closing the loop effectively. 134-138 - Eitel J. M. Lauría, Joshua D. Baron, Mallika Devireddy, Venniraiselvi Sundararaju, Sandeep M. Jayaprakash:
Mining academic data to improve college student retention: an open source perspective. 139-142
Visual analytics
- José Luís Santos, Sten Govaerts, Katrien Verbert, Erik Duval:
Goal-oriented visualizations of activity tracking: a case study with engineering students. 143-152 - Barbara Kump, Christin Seifert, Günter Beham, Stefanie N. Lindstaedt, Tobias Ley:
Seeing what the system thinks you know: visualizing evidence in an open learner model. 153-157 - Alfred Essa, Hanan Ayad:
Student success system: risk analytics and data visualization using ensembles of predictive models. 158-161 - Derick Leony, Abelardo Pardo, Luis de la Fuente Valentín, David Sánchez de Castro, Carlos Delgado Kloos:
GLASS: a learning analytics visualization tool. 162-163
Educator interventions
- Denis V. Smoline, Sergey Butakov:
Applying artificial intelligence to the educational data: an example of syllabus quality analysis. 164-169 - David García-Solórzano, Jose Antonio Morán, Germán Cobo, Carlos Monzo, Eugènia Santamaria, Javier Melenchón:
Educational monitoring tool based on faceted browsing and data portraits. 170-178 - Haiming Liu, Ronald Macintyre, Rebecca Ferguson:
Exploring qualitative analytics for e-mentoring relationships building in an online social learning environment. 179-183 - Steven Lonn, Andrew E. Krumm, Richard Joseph Waddington, Stephanie D. Teasley:
Bridging the gap from knowledge to action: putting analytics in the hands of academic advisors. 184-187
Textual analytics & analytics infrastructure
- Bruce Sherin:
Using computational methods to discover student science conceptions in interview data. 188-197 - Ahmad Ammari, Lydia Lau, Vania Dimitrova:
Deriving group profiles from social media to facilitate the design of simulated environments for learning. 198-207 - Marie A. Bienkowski, John Brecht, Jim Klo:
The learning registry: building a foundation for learning resource analytics. 208-211
Empirical studies
- Johann Ari Larusson, Brandon White:
Monitoring student progress through their written "point of originality". 212-221 - Brian J. McNely, Paul V. Gestwicki, J. Holden Hill, Philip Parli-Horne, Erika Johnson:
Learning analytics for collaborative writing: a prototype and case study. 222-225 - Tariq M. Khan, Fintan Clear, Samira Sadat Sajadi:
The relationship between educational performance and online access routines: analysis of students' access to an online discussion forum. 226-229 - Agathe Merceron:
Investigating the core group effect in usage of resources with analytics. 230-233 - Daniel Roberge, Anthony Rojas, Ryan S. Baker:
Does the length of time off-task matter? 234-237
Educational data mining
- Katja Niemann, Hans-Christian Schmitz, Uwe Kirschenmann, Martin Wolpers, Anna Schmidt, Tim Krones:
Clustering by usage: higher order co-occurrences of learning objects. 238-247 - Germán Cobo, David García-Solórzano, Jose Antonio Morán, Eugènia Santamaria, Carlos Monzo, Javier Melenchón:
Using agglomerative hierarchical clustering to model learner participation profiles in online discussion forums. 248-251 - George Siemens, Ryan Shaun Joazeiro de Baker:
Learning analytics and educational data mining: towards communication and collaboration. 252-254
Predictive modeling
- Diederik M. Roijers, Johan Jeuring, Ad Feelders:
Probability estimation and a competence model for rule based e-tutoring systems. 255-258 - Rebecca Barber, Mike Sharkey:
Course correction: using analytics to predict course success. 259-262 - Bjorn Levi Gunnarsson, Richard Alterman:
Predicting failure: a case study in co-blogging. 263-266 - Kimberly E. Arnold, Matthew D. Pistilli:
Course signals at Purdue: using learning analytics to increase student success. 267-270
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