LAK

Publications

2024

Austin Xu, Will Monroe, Klinton Bicknell
Large language model augmented exercise retrieval for personalized language learning. LAK (2024)
Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran
CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. LAK (2024)
Marie-Luce Bourguet
Demonstrating the impact of study regularity on academic success using learning analytics. LAK (2024)
Lixiang Yan, Roberto Martínez-Maldonado, Dragan Gasevic
Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. LAK (2024)
Ying Que, Tzi-Dong Jeremy Ng, Xiao Hu, Mitchell Kam Fai Mak, Peony Tsz Yan Yip
Using Multimodal Learning Analytics to Examine Learners' Responses to Different Types of Background Music during Reading Comprehension. LAK (2024)
Andres Felipe Zambrano, Ryan Shaun Baker
Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. LAK (2024)
Rachel Van Campenhout, Murray Kimball, Michelle W. Clark, Jeffrey S. Dittel, Bill Jerome, Benny G. Johnson
An Investigation of Automatically Generated Feedback on Student Behavior and Learning. LAK (2024)
Yinuo Xu, Zachary A. Pardos
Extracting Course Similarity Signal using Subword Embeddings. LAK (2024)
Zaibei Li, Martin Thoft Jensen, Alexander Nolte, Daniel Spikol
Field report for Platform mBox: Designing an Open MMLA Platform. LAK (2024)
Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk
Code Soliloquies for Accurate Calculations in Large Language Models. LAK (2024)
Hendrik Steinbeck, Mohamed Elhayany, Christoph Meinel
Millions of Views, But Does It Promote Learning? Analyzing Popular SciComm Production Styles Regarding Learning Success, User Behavior and Perception. LAK (2024)
Zuo Wang, Jeremy Tzi Dong Ng, Ying Que, Xiao Hu
Unveiling Synchrony of Learners' Multimodal Data in Collaborative Maker Activities. LAK (2024)
Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus
Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data. LAK (2024)
Zhen Xu, Joseph Olson, Nicole Pochinki, Zhijian Zheng, Renzhe Yu
Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer. LAK (2024)
Dorottya Demszky, Rose Wang, Sean Geraghty, Carol Yu
Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform. LAK (2024)
Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer
Temporal and Between-Group Variability in College Dropout Prediction. LAK (2024)
Manuel Valle Torre, Catharine Oertel, Marcus Specht
The Sequence Matters in Learning - A Systematic Literature Review. LAK (2024)
Jae H. Paik, Igor Himelfarb, Seung Hee Yoo, KyoungMi Yoo, Hoyong Ha
The relationships among school engagement, students' emotions, and academic performance in an elementary online learning. LAK (2024)
Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven
Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. LAK (2024)
Chenglu Li, Wangda Zhu, Wanli Xing, Rui Guo
Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial. LAK (2024)
Yeonji Jung, Alyssa Friend Wise
Probing Actionability in Learning Analytics: The Role of Routines, Timing, and Pathways. LAK (2024)
Anan Schütt, Tobias Huber, Jauwairia Nasir, Cristina Conati, Elisabeth André
Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task. LAK (2024)
Andres Felipe Zambrano, Jiayi Zhang, Ryan S. Baker
Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors. LAK (2024)
Wannapon Suraworachet, Mutlu Cukurova
Predicting challenge moments from students' discourse: A comparison of large language models to other natural language processing approaches. LAK (2024)
Gerti Pishtari
Mirror mirror on the wall, what is missing in my pedagogical goals? The Impact of an AI-Driven Feedback System on the Quality of Teacher-Created Learning Designs. LAK (2024)
Tongguang Li, Dragan Gasevic
Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. LAK (2024)
Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez-Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK (2024)
Elizabeth B. Cloude, Pranshu Kumar, Ryan Shaun Baker, Eric Fouh
Novice programmers inaccurately monitor the quality of their work and their peers' work in an introductory computer science course. LAK (2024)
Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic
Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. LAK (2024)
Vanessa Echeverría, Lixiang Yan, Linxuan Zhao, Sophie Abel, Riordan Alfredo, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Simon Buckingham Shum, Dragan Gasevic, Roberto Martínez-Maldonado
TeamSlides: a Multimodal Teamwork Analytics Dashboard for Teacher-guided Reflection in a Physical Learning Space. LAK (2024)
Gloria Milena Fernández Nieto, Roberto Martínez-Maldonado, Vanessa Echeverría, Kirsty Kitto, Dragan Gasevic, Simon Buckingham Shum
Data Storytelling Editor: A Teacher-Centred Tool for Customising Learning Analytics Dashboard Narratives. LAK (2024)
Mohammad Amin Samadi, Spencer Jaquay, Yiwen Lin, Elham Tajik, Seehee Park, Nia Nixon
Minds and Machines Unite: Deciphering Social and Cognitive Dynamics in Collaborative Problem Solving with AI. LAK (2024)
Ikenna Osakwe
Measurement of Self-regulated Learning: Strategies for mapping trace data to learning processes and downstream analysis implications: 0000-0001-7672-4636. LAK (2024)
Ryan Garg, Jaeyoung Han, Yixin Cheng, Zheng Fang, Zachari Swiecki
Automated Discourse Analysis via Generative Artificial Intelligence. LAK (2024)
Chao Wang, Xiao Hu, Nora Patricia Hernández López, Jeremy Tzi Dong Ng
Needs Analysis of Learning Analytics Dashboard for College Teacher Online Professional Learning in an International Training Initiative for the Global South. LAK (2024)
Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki
Evidence-centered Assessment for Writing with Generative AI. LAK (2024)
Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Wilson
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. LAK (2024)
Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK (2024)
Lan Jiang, Clara Belitz, Nigel Bosch
Synthetic Dataset Generation for Fairer Unfairness Research. LAK (2024)
Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson
A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. LAK (2024)
Qurat Ul Ain, Mohamed Amine Chatti, Paul Arthur Meteng Kamdem, Rawaa Alatrash, Shoeb Ahmed Joarder, Clara Siepmann
Learner Modeling and Recommendation of Learning Resources using Personal Knowledge Graphs. LAK (2024)
Qinyi Liu, Mohammad Khalil, Jelena Jovanovic, Ronas Shakya
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. LAK (2024)
Morgan P. Lee, Abubakir Siedahmed, Neil T. Heffernan
Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. LAK (2024)
Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki
Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. LAK (2024)
Megan Taylor, Abhinava Barthakur, Arslan Azad, Srecko Joksimovic, Xuwei Zhang, George Siemens
Quantifying Collaborative Complex Problem Solving in Classrooms using Learning Analytics. LAK (2024)
Sarah Alcock, Bart Rienties, Maria Aristeidou, Soraya Kouadri Mostéfaoui
How do visualizations and automated personalized feedback engage professional learners in a Learning Analytics Dashboard? LAK (2024)
Deep Dwivedi, Ritik Garg, Shiva Baghel, Rushil Thareja, Ritvik Kulshrestha, Mukesh K. Mohania, Jainendra Shukla
Effecti-Net: A Multimodal Framework and Database for Educational Content Effectiveness Analysis. LAK (2024)
Shreya K. Sheel, Ioannis Anastasopoulos, Zachary A. Pardos
Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs. LAK (2024)
Rogers Kaliisa, Kamila Misiejuk, Sonsoles López-Pernas, Mohammad Khalil, Mohammed Saqr
Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude. LAK (2024)
Mikaela Elizabeth Milesi, Roberto Martínez-Maldonado
Data Storytelling in Learning Analytics? A Qualitative Investigation into Educators' Perceptions of Benefits and Risks. LAK (2024)