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ORCIDJournal of Learning Analytic, Volume 4
Volume 4, Number 1, March 2017
- Carolyn Penstein Rosé
, Shane Dawson, Hendrik Drachsler:
LAK16 Editorial. - Arnon Hershkovitz, Simon Knight, Jelena Jovanovic, Shane Dawson, Dragan Gasevic:
Research with Simulated Data. - Roberto Martínez Maldonado, Simon Buckingham Shum, Bertrand Schneider, Sven Charleer, Joris Klerkx, Erik Duval:
Learning Analytics for Natural User Interfaces: A Framework, Case Studies and a Maturity Analysis. - Jennifer Pei-Ling Tan, Elizabeth Koh, Christin Rekha Jonathan, Simon Yang:
Learner Dashboards a Double-Edged Sword? Students' Sense-Making of a Collaborative Critical Reading and Learning Analytics Environment for Fostering 21st Century Literacies. - Tobias Hecking, Irene-Angelica Chounta, Heinz Ulrich Hoppe:
Role Modelling in MOOC Discussion Forums. - Mireille Hildebrandt:
Learning as a Machine. Crossovers Between Humans and Machines. - Simon Buckingham Shum, Ágnes Sándor, Rosalie Goldsmith, Randall Bass, Mindy McWilliams:
Towards Reflective Writing Analytics: Rationale, Methodology and Preliminary Results.
Volume 4, Number 2, July 2017
- Colleen Marie Ganley, Sara A. Hart:
Shape of Educational Data: Interdisciplinary Perspectives. - Simon Knight, Alyssa Friend Wise, Xavier Ochoa, Arnon Hershkovitz:
Learning Analytics: Looking to the Future. - Anthony Eamonn Kelly:
Is Learning Data in the Right Shape? - Peter Buser, Klaus-Dieter Semmler:
Study Paths, Riemann Surfaces And Strebel Differentials. - Martina A. Rau:
How do Students Learn to See Concepts in Visualizations? Social Learning Mechanisms with Physical and Virtual Representations. - Elizabeth Munch:
A User's Guide to Topological Data Analysis. - Dragan Gasevic, Jelena Jovanovic, Abelardo Pardo, Shane Dawson:
Detecting Learning Strategies with Analytics: Links with Self-reported Measures and Academic Performance. - Ruth Elizabeth Deakin Crick, Simon Knight, Steven Barr:
Towards Analytics for Wholistic School Improvement: Hierarchical Process Modelling and Evidence Visualization. - Korinn S. Ostrow, Yan Wang, Neil T. Heffernan:
How Flexible Is Your Data? A Comparative Analysis of Scoring Methodologies across Learning Platforms in the Context of Group Differentiation. - Sara A. Hart, Mia Daucourt, Colleen Marie Ganley:
Individual Differences Related to College Students' Course Performance in Calculus II. - Olga Caprotti:
Shapes of Educational Data in an Online Calculus Course. - Kevin Casey:
Using Keystroke Analytics to Improve Pass-Fail Classifiers. - Matti J. Pauna:
Calculus Course Assessment Data. - Michael Gage:
Methods of Interoperability: Moodle and WeBWorK. - Shuangbao Paul Wang, William Kelly:
Video-based Big Data Analytics in Cyberlearning. - Jenny Saucerman, Andrew R. Ruis, David Williamson Shaffer:
Automating the Detection of Reflection-on-Action.
Volume 4, Number 3, December 2017
- Alejandro Andrade, Joshua A. Danish, Adam V. Maltese:
A Measurement Model of Gestures in an Embodied Learning Environment: Accounting for Temporal Dependencies. - Xavier Ochoa, Arnon Hershkovitz, Alyssa Wise, Simon Knight:
Towards a Convergent Development of Learning Analytics. - Amanda Lee Siebert-Evenstone, Golnaz Arastoopour Irgens, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
In Search of Conversational Grain Size: Modeling Semantic Structure using Moving Stanza Windows. - Kshitij Sharma, Valérie Chavez-Demoulin, Pierre Dillenbourg:
An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data. - Alwyn Vwen Yen Lee, Seng Chee Tan:
Promising Ideas for Collective Advancement of Communal Knowledge Using Temporal Analytics and Cluster Analysis. - Carrie Demmans Epp, Krystle Phirangee, Jim Hewitt:
Talk with Me: Student Pronoun Use as an Indicator of Discourse Health. - Simon Knight, Alyssa Friend Wise, Bodong Chen:
Time for Change: Why Learning Analytics Needs Temporal Analysis. - Kristine Lund, Matthieu Quignard, David Williamson Shaffer:
Gaining Insight by Transforming Between Temporal Representations of Human Interaction.
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