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ORCIDJournal of Learning Analytic, Volume 5
Volume 5, Number 1, April 2018
- Bodong Chen
, Simon Knight, Alyssa Wise:
Critical issues in designing and implementing temporal analytics. 1-9 - Ming Ming Chiu:
Statistically Modelling Effects of Dynamic Processes on Outcomes: An Example of Discourse Sequences and Group Solutions. - Ran Liu, John C. Stamper, Jodi L. Davenport:
A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems. - Jun Oshima, Ritsuko Oshima, Wataru Fujita:
A Mixed-Methods Approach to Analyze Shared Epistemic Agency in Jigsaw Instruction at Multiple Scales of Temporality. - Arham Muslim, Mohamed Amine Chatti, Muhammad Bassim Bashir, Oscal Eduardo Barrios Varela, Ulrik Schroeder:
A Modular and Extensible Framework for Open Learning Analytics. - Bodong Chen, Simon Knight, Alyssa Friend Wise:
Critical Issues in Designing and Implementing Temporal Analytics. - Jeremy Riel, Kimberly A. Lawless, Scott W. Brown:
Timing Matters: Approaches for Measuring and Visualizing Behaviours of Timing and Spacing of Work in Self-Paced Online Teacher Professional Development Courses. - Mohammad Javad Mahzoon, Mary Lou Maher, Omar Eltayeby, Wenwen Dou, Kazjon Grace:
A Sequence Data Model for Analyzing Temporal Patterns of Student Data.
Volume 5, Number 2, August 2018
- Yoav Bergner, Geraldine Gray, Charles Lang:
What Does Methodology Mean for Learning Analytics? - Nigel Bosch, Luc Paquette:
Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases. - Matthieu J. S. Brinkhuis, Alexander O. Savi, Abe D. Hofman, Frederik Coomans, Han L. J. van der Maas, Gunter K. J. Maris:
Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. - Ed Fincham, Dragan Gasevic, Abelardo Pardo:
From Social Ties to Network Processes: Do Tie Definitions Matter? - Benjamin A. Motz, Paulo F. Carvalho, Joshua de Leeuw, Robert L. Goldstone:
Embedding Experiments: Staking Causal Inference in Authentic Educational Contexts. - Joshua Patrick Gardner, Christopher Brooks:
Evaluating Predictive Models of Student Success: Closing the Methodological Gap. 105-125 - Sakinah S. J. Alhadad:
Visualizing Data to Support Judgement, Inference, and Decision Making in Learning Analytics: Insights from Cognitive Psychology and Visualization Science.
Volume 5, Number 3, December 2018
- Chrstopher R. Wolfe, Colin L. Widmer, Christine V. Torrese, Mitchell Dandignac:
A Method for Automatically Analyzing Intelligent Tutoring System Dialogues with Coh-Metrix. - Quan Nguyen, Michal Huptych, Bart Rienties:
Using Temporal Analytics to Detect Inconsistencies Between Learning Design and Students' Behaviours. - Vanessa Echeverría, Roberto Martínez Maldonado, Simon Buckingham Shum, Katherine Chiluiza, Roger Granda, Cristina Conati:
Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers' Attention through Educational Data Storytelling. - Joshua Patrick Gardner, Christopher Brooks, Warren Li:
Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses. - Rasmus Leth Jørnø, Karsten Gynther:
What Constitutes an 'Actionable Insight' in Learning Analytics? - Hassan Khosravi, Kendra M. L. Cooper:
Topic Dependency Models: Graph-Based Visual Analytics for Communicating Assessment Data. - Dan Davis, René F. Kizilcec, Claudia Hauff, Geert-Jan Houben:
Scaling Effective Learning Strategies: Retrieval Practice and Long-Term Knowledge Retention in MOOCs. - Xavier Ochoa, Agathe Merceron:
Quantitative and Qualitative Analysis of the Learning Analytics and Knowledge Conference 2018. - Kyle Anthony O'Connell, Elijah Wostl, Matt Crosslin, T. Lisa Berry, James P. Grover:
Student Ability Best Predicts Final Grade in a College Algebra Course. - Katerina Mangaroska, Kshitij Sharma, Michail N. Giannakos, Hallvard Trætteberg, Pierre Dillenbourg:
Gaze-Driven Design Insights to Amplify Debugging Skills: A Learner-Centered Analysis Approach. - Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Ioana Jivet, Maren Scheffel, Kairit Tammets, Kaire Kollom, Dragan Gasevic:
The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics. - Abelardo Pardo, Kathryn Bartimote, Simon Buckingham Shum, Shane Dawson, Jing Gao, Dragan Gasevic, Steve Leichtweis, Danny Y. T. Liu, Roberto Martínez Maldonado, Negin Mirriahi, Adon Christian Michael Moskal, Jurgen Schulte, George Siemens, Lorenzo Vigentini:
OnTask: Delivering Data-Informed, Personalized Learning Support Actions. - Michael Geoffrey Brown, R. Matthew DeMonbrun, Stephanie D. Teasley:
Taken Together: Conceptualizing Students' Concurrent Course Enrollment across the Post-Secondary Curriculum using temporal analytics. - Thushari Atapattu, Katrina Falkner:
Impact of Lecturer's Discourse for Students' Video Engagement: Video Learning Analytics Case Study of MOOCs. - Alyssa Friend Wise, Simon Knight, Xavier Ochoa:
When Are Learning Analytics Ready and What Are They Ready For.
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