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ORCID1st LAK 2011: Banff, AB, Canada
- Phillip D. Long, George Siemens, Gráinne Conole, Dragan Gasevic:
Proceedings of the 1st International Conference on Learning Analytics and Knowledge, LAK 2011, Banff, AB, Canada, February 27 - March 01, 2011. ACM 2011, ISBN 978-1-4503-0944-8 - Xavier Ochoa
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Learnometrics: metrics for learning objects. 1-8 - Erik Duval:
Attention please!: learning analytics for visualization and recommendation. 9-17 - Caroline Haythornthwaite:
Learning networks, crowds and communities. 18-22 - Anna De Liddo, Simon Buckingham Shum, Ivana Quinto, Michelle Bachler, Lorella Cannavacciuolo:
Discourse-centric learning analytics. 23-33 - Doug Clow, Elpida Makriyannis:
iSpot analysed: participatory learning and reputation. 34-43 - Katrien Verbert, Hendrik Drachsler, Nikos Manouselis, Martin Wolpers, Riina Vuorikari, Erik Duval:
Dataset-driven research for improving recommender systems for learning. 44-53 - Stephen Fancsali:
Variable construction for predictive and causal modeling of online education data. 54-63 - Daniel D. Suthers, Devan Rosen:
A unified framework for multi-level analysis of distributed learning. 64-74 - Josep Grau-Valldosera, Julià Minguillón:
Redefining dropping out in online higher education: a case study from the UOC. 75-80
Vision and conceptual papers
- Katja Niemann, Hans-Christian Schmitz, Maren Scheffel, Martin Wolpers:
Usage contexts for object similarity: exploratory investigations. 81-85 - Christopher A. Brooks, Carrie Demmans Epp, Greg Logan, Jim E. Greer:
The who, what, when, and why of lecture capture. 86-92 - Ravikiran Vatrapu, Christopher Teplovs, Nobuko Fujita, Susan Bull:
Towards visual analytics for teachers' dynamic diagnostic pedagogical decision-making. 93-98 - Rebecca Ferguson, Simon Buckingham Shum:
Learning analytics to identify exploratory dialogue within synchronous text chat. 99-103 - Hélène Fournier, Rita Kop, Hanan Sitlia:
The value of learning analytics to networked learning on a personal learning environment. 104-109 - Paulo Blikstein:
Using learning analytics to assess students' behavior in open-ended programming tasks. 110-116 - Michael Atkisson, David A. Wiley:
Learning analytics as interpretive practice: applying Westerman to educational intervention. 117-121
Ideas and innovation
- Mike Sharkey:
Academic analytics landscape at the University of Phoenix. 122-126 - Ravi K. Vatrapu:
Cultural considerations in learning analytics. 127-133 - Devan Rosen, Victor Miagkikh, Daniel D. Suthers:
Social and semantic network analysis of chat logs. 134-139 - Nikos Palavitsinis, Vassilios Protonotarios, Nikos Manouselis:
Applying analytics for a learning portal: the Organic.Edunet case study. 140-146 - Chris Teplovs, Nobuko Fujita, Ravi K. Vatrapu:
Generating predictive models of learner community dynamics. 147-152 - Lori Lockyer, Shane Dawson:
Learning designs and learning analytics. 153-156 - Griff Richards, Irwin DeVries:
Revisiting formative evaluation: dynamic monitoring for the improvement of learning activity design and delivery. 157-162 - Abelardo Pardo, Carlos Delgado Kloos:
Stepping out of the box: towards analytics outside the learning management system. 163-167
Tool demonstration papers
- Aneesha Bakharia, Shane Dawson:
SNAPP: a bird's-eye view of temporal participant interaction. 168-173 - Sabine Graf, Cindy Ives, Nazim Rahman, Arnold Ferri:
AAT: a tool for accessing and analysing students' behaviour data in learning systems. 174-179 - Ari Bader-Natal, Thomas Lotze:
Evolving a learning analytics platform. 180-185
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