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ORCIDJournal of Learning Analytic, Volume 3
Volume 3, Number 1, April 2016
- María Jesús Rodríguez-Triana
, Alejandra Martínez-Monés, Sara Villagrá-Sobrino:
Learning Analytics in Small-scale Teacher-led Innovations: Ethical and Data Privacy Issues. - Melody Siadaty, Dragan Gasevic, Marek Hatala:
Trace-based Micro-analytic Measurement of Self-Regulated Learning Processes. - Christina M. Steiner, Michael D. Kickmeier-Rust, Dietrich Albert:
LEA in Private: A Privacy and Data Protection Framework for a Learning Analytics Toolbox. - Rebecca Ferguson, Tore Hoel, Maren Scheffel, Hendrik Drachsler:
Guest Editorial: Ethics and Privacy in Learning Analytics. - Andrew Nicholas Cormack:
A Data Protection Framework for Learning Analytics. - Alan Berg, Stefan T. Mol, Gábor Kismihók, Niall Sclater:
The Role of a Reference Synthetic Data Generator within the Field of Learning Analytics. - Dragan Gasevic, Shane Dawson, Jelena Jovanovic:
Ethics and Privacy as Enablers of Learning Analytics. - Mohammad Khalil, Martin Ebner:
De-Identification in Learning Analytics. - Tore Hoel, Weiqin Chen:
Privacy-driven Design of Learning Analytics Applications - Exploring the Design Space of Solutions for Data Sharing and Interoperability. - Niall Sclater:
Developing a Code of Practice for Learning Analytics. - Paul Prinsloo, Sharon Slade:
Student Vulnerability, Agency and Learning Analytics: An Exploration.
Volume 3, Number 2, September 2016
- Arnon Hershkovitz, Simon Knight, Shane Dawson, Jelena Jovanovic, Dragan Gasevic:
About "Learning" and "Analytics". 1-5 - Simon Buckingham Shum, Ruth Deakin Crick:
Learning Analytics for 21st Century Competencies. 6-21 - Andrew Gibson, Kirsty Kitto, Peter Bruza:
Towards the Discovery of Learner Metacognition From Reflective Writing. 22-36 - Caitlin Kennedy Martin, Denise C. Nacu, Nichole Pinkard:
Revealing Opportunities for 21st Century Learning: An Approach to Interpreting User Trace Log Data. 37-87 - Sandra Kaye Milligan, Patrick Griffin:
Understanding Learning and Learning Design in MOOCs: A Measurement-Based Interpretation. 88-115 - Andrew E. Krumm, Rachel Beattie, Sola Takahashi, Cynthia M. D'Angelo, Mingyu Feng, Britte Cheng:
Practical Measurement and Productive Persistence: Strategies for Using Digital Learning System Data to Drive Improvement. 116-138 - Bodong Chen, Jianwei Zhang:
Analytics for Knowledge Creation: Towards Epistemic Agency and Design-Mode Thinking. 139-163 - Robin Paul Nagy:
Tracking and Visualising Student Effort: Evolution of a Practical Analytics Tool for Staff and Student Engagement. 164-192 - Darrall G. Thompson:
Marks Should Not Be the Focus of Assessment - But How Can Change Be Achieved? 193-212 - Xavier Ochoa, Marcelo Worsley:
Editorial: Augmenting Learning Analytics with Multimodal Sensory Data. 213-219 - Paulo Blikstein, Marcelo Worsley:
Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks. 220-238 - Mirko Raca, Roland Tormey, Pierre Dillenbourg:
Sleepers' Lag - Study on Motion and Attention. 239-260 - Lei Chen, Gary Feng, Chee Wee Leong, Jilliam Joe, Christopher Kitchen, Chong Min Lee:
Designing An Automated Assessment of Public Speaking Skills Using Multimodal Cues. 261-281 - Alejandro Andrade, Ginette Delandshere, Joshua A. Danish:
Using Multimodal Learning Analytics to Model Student Behavior: A Systematic Analysis of Epistemological Framing. 282-306 - Stefan Dietze, George Siemens, Davide Taibi, Hendrik Drachsler:
Editorial: Datasets for Learning Analytics. 307-311 - John C. Stamper, Zachary A. Pardos:
The 2010 KDD Cup Competition Dataset: Engaging the machine learning community in predictive learning analytics. 312-316 - Jan Papousek, Radek Pelánek, Vít Stanislav:
Adaptive Geography Practice Data Set. 317-321 - Andrii Vozniuk, Adrian Holzer, Denis Gillet:
Peer Assessment Dataset. 322-324 - Bernardo Tabuenca, Dirk Börner:
Noise in Classrooms Data Set. 325-329 - Geraldine Gray, Colm McGuinness, Philip Owende, Markus Hofmann:
Learning Factor Models of Students at Risk of Failing in the Early Stage of Tertiary Education. 330-372
Volume 3, Number 3, December 2016
- Simon Knight, Shane Dawson, Dragan Gasevic, Jelena Jovanovic, Arnon Hershkovitz:
Learning Analytics: Richer Perspectives Across Stakeholders. 1-4 - Dragan Gasevic, Mykola Pechenizkiy:
Let's Grow Together: Tutorials on Learning Analytics Methods. 5-8 - David Williamson Shaffer, Wesley Collier, Andrew R. Ruis:
A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data. 9-45 - Anatoliy A. Gruzd, Drew Paulin, Caroline Haythornthwaite:
Analyzing Social Media And Learning Through Content And Social Network Analysis: A Faceted Methodological Approach. 46-71 - Nia M. Dowell, Arthur C. Graesser, Zhiqiang Cai:
Language and Discourse Analysis with Coh-Metrix: Applications from Educational Material to Learning Environments at Scale. 72-95 - Ani Aghababyan, Taylor Martin, Philip Janisiewicz, Kevin Close:
Microgenetic Learning Analytics Methods: Hands-on Sequence Analysis Workshop Report. 96-114 - Garron Edward Hillaire, Gabrielle Schlichtmann, Kim Ducharme:
Prototyping Visual Learning Analytics Guided by an Educational Theory Informed Goal. 115-142 - Scott Sutherland, Tobin White:
Constraint-Referenced Analytics of Algebra Learning. 143-169 - Kerrie Anna Douglas, Peter Bermel, Md Monzurul Alam, Krishna Madhavan:
Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course. 170-192 - Chase McCoy, Patrick C. Shih:
Teachers as Producers of Data Analytics: A Case Study of a Teacher-Focused Educational Data Science Program. 193-214 - David B. Knight, Cory Brozina, Brian J. Novoselich:
An Investigation of First-Year Engineering Student and Instructor Perspectives of Learning Analytics Approaches. 215-238 - Iris K. Howley, Carolyn Penstein Rosé:
Towards Careful Practices for Automated Linguistic Analysis of Group Learning. 239-262 - Richard Joseph Waddington, SungJin Nam, Steven Lonn, Stephanie D. Teasley:
Improving Early Warning Systems with Categorized Course Resource Usage. 263-290 - Camilo Vieira, Molly Hathaway Goldstein, Senay Purzer, Alejandra J. Magana:
Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design. 291-317 - Tomás Dvorák, Miaoqing Jia:
Online Work Habits and Academic Performance. 318-330
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