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ORCIDJournal of Learning Analytic, Volume 10
Volume 10, Number 1, 2023
- Mohammad Khalil
, Paul Prinsloo, Sharon Slade:
Fairness, Trust, Transparency, Equity, and Responsibility in Learning Analytics. 1-7 - Rebecca E. Heiser, Mary Ellen Dello Stritto, Allen Brown, Benjamin Croft:
Amplifying Student and Administrator Perspectives on Equity and Bias in Learning Analytics:: Alone Together in Higher Education. 8-23 - Chris Patterson, Emily York, Danielle Maxham, Rudy Molina, Paul Mabrey:
Applying a Responsible Innovation Framework in Developing an Equitable Early Alert System:: A Case Study. 24-36 - Rianne Conijn, Patricia Kahr, Chris C. P. Snijders:
The Effects of Explanations in Automated Essay Scoring Systems on Student Trust and Motivation. 37-53 - Egle Gedrimiene, Ismail Celik, Kati Mäkitalo, Hanni Muukkonen:
Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool. 54-70 - Adrian Grimm, Anneke Steegh, Marcus Kubsch, Knut Neumann:
Learning Analytics in Physics Education: Equity-Focused Decision-Making Lacks Guidance! 71-84 - Hakeoung Hannah Lee, Emma Gargroetzi:
"It's like a double-edged sword": Mentor Perspectives on Ethics and Responsibility in a Learning Analytics-Supported Virtual Mentoring Program. 85-100 - Shea Swauger, Remi Kalir:
Learning Analytics and the Abolitionist Imagination. 101-112 - Michael Meaney, Thomas Fikes:
The Promise of MOOCs Revisited? Demographics of Learners Preparing for University. 113-132 - Teresa Cerratto-Pargman, Cormac McGrath, Olga Viberg, Simon Knight:
New Vistas on Responsible Learning Analytics: A Data Feminist Perspective. 133-148 - Irina Rets, Christothea Herodotou, Anna Gillespie:
Six Practical Recommendations Enabling Ethical Use of Predictive Learning Analytics in Distance Education. 149-167 - Wenyi Lu, Joe Griffin, Troy D. Sadler, James M. Laffey, Sean P. Goggins:
Serious Game Analytics by Design: Feature Generation and Selection Using Game Telemetry and Game Metrics: Toward Predictive Model Construction. 168-188
Volume 10, Number 2, 2023
- Rebecca Ferguson, Hassan Khosravi, Vitomir Kovanovic, Olga Viberg, Ashish Aggarwal, Matthieu J. S. Brinkhuis, Simon Buckingham Shum, Lujie Karen Chen, Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses, Caitlin Hayward, Ben Hicks, Ioana Jivet, Kirsty Kitto, René F. Kizilcec, Jason M. Lodge, Catherine A. Manly, Rebecca L. Matz, Michael Meaney, Xavier Ochoa, Brendan A. Schuetze, Marco Spruit, Max van Haastrecht, Anouschka van Leeuwen, Lars Van Rijn, Yi-Shan Tsai, Joshua Weidlich, Kimberly Williamson, Veronica X. Yan:
Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. 14-50 - Dirk T. Tempelaar, Bart Rienties, Bas Giesbers, Quan Nguyen:
Modelling Temporality in Person- and Variable-Centred Approaches. 51-67 - Sina Nazeri, Marek Hatala, Carman Neustaedter:
Associations of Research Questions, Analytical Techniques, and Learning Insight in Temporal Educational Research: A Systematic Mapping Study. 68-84 - Anceli Kaveri, Anni Silvola, Hanni Muukkonen:
Supporting Student Agency with a Student-Facing Learning Analytics Dashboard: Perceptions of an Interdisciplinary Development Team. 85-99 - Damien S. Fleur, Max Marshall, Miguel Pieters, Natasa Brouwer, Gerrit Oomens, Angelos Konstantinidis, Koos Winnips, Sylvia Moes, Wouter van den Bos, Bert Bredeweg, Erwin van Vliet:
IguideME: Supporting Self-Regulated Learning and Academic Achievement with Personalized Peer-Comparison Feedback in Higher Education. 100-114 - Daniel Biedermann, George-Petru Ciordas-Hertel, Marc Winter, Julia Mordel, Hendrik Drachsler:
Contextualized Logging of On-Task and Off-Task Behaviours During Learning. 115-125 - Daniela Rotelli, Anna Monreale:
Processing and Understanding Moodle Log Data and Their Temporal Dimension. 126-141
Volume 10, Number 3, 2023
- Hassan Khosravi, Olga Viberg, Vitomir Kovanovic, Rebecca Ferguson:
Generative AI and Learning Analytics. 1-6 - Aleksandra Maslennikova, Daniela Rotelli, Anna Monreale:
Session-Based Time-Window Identification in Virtual Learning Environments. 7-27 - Valentina Albano, Donatella Firmani, Luigi Laura, Jerin George Mathew, Anna Lucia Paoletti, Irene Torrente:
NLP-Based Management of Large Multiple-Choice Test Item Repositories. 28-44 - Lixiang Yan, Linxuan Zhao, Dragan Gasevic, Xinyu Li, Roberto Martínez Maldonado:
Socio-spatial Learning Analytics in Co-located Collaborative Learning Spaces:: A Systematic Literature Review. 45-63 - Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic:
Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom. 64-86 - Yiqiu Zhou, Jina Kang:
Enriching Multimodal Data: A Temporal Approach to Contextualize Joint Attention in Collaborative Problem-Solving. 87-101 - Mary Francis, Mejai Avoseh, Karen Card, Lisa A. Newland, Kevin Streff:
Student Privacy and Learning Analytics: Investigating the Application of Privacy Within a Student Success Information System in Higher Education. 102-114 - Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani:
Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels. 115-134 - Marcel R. Haas, Colin C. Caprani, Benji Van Beurden:
Bayesian Generative Modelling of Student Results in Course Networks. 135-152
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