| 2024 | A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson |
| 2024 | A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment. Yukyeong Song, Chenglu Li, Wanli Xing, Shan Li, Hakeoung Hannah Lee |
| 2024 | Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data. Erva Nihan Kandemir, Jill-Jênn Vie, Adam Sanchez-Ayte, Olivier Palombi, Franck Ramus |
| 2024 | An Investigation of Automatically Generated Feedback on Student Behavior and Learning. Rachel Van Campenhout, Murray Kimball, Michelle W. Clark, Jeffrey S. Dittel, Bill Jerome, Benny G. Johnson |
| 2024 | Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. Tongguang Li, Dragan Gasevic |
| 2024 | Analytics of scaffold compliance for self-regulated learning. John Saint, Yizhou Fan, Dragan Gasevic |
| 2024 | Analyzing Student Attention and Acceptance of Conversational AI for Math Learning: Insights from a Randomized Controlled Trial. Chenglu Li, Wangda Zhu, Wanli Xing, Rui Guo |
| 2024 | Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. Caitlin Snyder, Nicole M. Hutchins, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas |
| 2024 | Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. Cheryl Sze Yin Wong, Savitha Ramasamy |
| 2024 | Automated Discourse Analysis via Generative Artificial Intelligence. Ryan Garg, Jaeyoung Han, Yixin Cheng, Zheng Fang, Zachari Swiecki |
| 2024 | Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. Hai Li, Chenglu Li, Wanli Xing, Sami Baral, Neil T. Heffernan |
| 2024 | Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares |
| 2024 | Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation. Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Wilson |
| 2024 | Bringing Collaborative Analytics using Multimodal Data to Masses: Evaluation and Design Guidelines for Developing a MMLA System for Research and Teaching Practices in CSCL. Pankaj Chejara |
| 2024 | CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran |
| 2024 | Can Crowdsourcing Platforms Be Useful for Educational Research? Karen D. Wang, Zhongzhou Chen, Carl E. Wieman |
| 2024 | Code Soliloquies for Accurate Calculations in Large Language Models. Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk |
| 2024 | Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs. Shreya K. Sheel, Ioannis Anastasopoulos, Zachary A. Pardos |
| 2024 | Computational Modeling of Collaborative Discourse to Enable Feedback and Reflection in Middle School Classrooms. Chelsea Chandler, Thomas Breideband, Jason G. Reitman, Marissa Chitwood, Jeffrey B. Bush, Amanda Howard, Sarah Leonhart, Peter W. Foltz, William R. Penuel, Sidney K. D'Mello |
| 2024 | Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer. Zhen Xu, Joseph Olson, Nicole Pochinki, Zhijian Zheng, Renzhe Yu |
| 2024 | Data Storytelling Editor: A Teacher-Centred Tool for Customising Learning Analytics Dashboard Narratives. Gloria Milena Fernández Nieto, Roberto Martínez Maldonado, Vanessa Echeverría, Kirsty Kitto, Dragan Gasevic, Simon Buckingham Shum |
| 2024 | Data Storytelling in Learning Analytics? A Qualitative Investigation into Educators' Perceptions of Benefits and Risks. Mikaela Elizabeth Milesi, Roberto Martínez Maldonado |
| 2024 | Demonstrating the impact of study regularity on academic success using learning analytics. Marie-Luce Bourguet |
| 2024 | Discovering Players' Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining. Karen D. Wang, Haoyu Liu, David DeLiema, Nick Haber, Shima Salehi |
| 2024 | Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task. Anan Schütt, Tobias Huber, Jauwairia Nasir, Cristina Conati, Elisabeth André |
| 2024 | Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform. Dorottya Demszky, Rose E. Wang, Sean Geraghty, Carol Yu |
| 2024 | Effecti-Net: A Multimodal Framework and Database for Educational Content Effectiveness Analysis. Deep Dwivedi, Ritik Garg, Shiva Baghel, Rushil Thareja, Ritvik Kulshrestha, Mukesh K. Mohania, Jainendra Shukla |
| 2024 | Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning. Linxuan Zhao, Vanessa Echeverría, Zachari Swiecki, Lixiang Yan, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez Maldonado |
| 2024 | Equity-Forward Learning Analytics: Designing a Dashboard to Support Marginalized Student Success. Jay Sloan-Lynch, Robert Morse |
| 2024 | Estimating the Causal Treatment Effect of Unproductive Persistence. Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill |
| 2024 | Evidence-centered Assessment for Writing with Generative AI. Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki |
| 2024 | Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. Morgan P. Lee, Abubakir Siedahmed, Neil T. Heffernan |
| 2024 | Exploring Confusion and Frustration as Non-linear Dynamical Systems. Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas |
| 2024 | Exploring Student Expectations and Confidence in Learning Analytics. Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte |
| 2024 | Extracting Course Similarity Signal using Subword Embeddings. Yinuo Xu, Zachary A. Pardos |
| 2024 | Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills |
| 2024 | Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI. Maxwell Szymanski, Jeroen Ooge, Robin De Croon, Vero Vanden Abeele, Katrien Verbert |
| 2024 | Field report for Platform mBox: Designing an Open MMLA Platform. Zaibei Li, Martin Thoft Jensen, Alexander Nolte, Daniel Spikol |
| 2024 | Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser |
| 2024 | Gaining Insights into Course Difficulty Variations Using Item Response Theory. Frederik Baucks, Robin Schmucker, Laurenz Wiskott |
| 2024 | Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning. Siddhartha Pradhan, Ashish Gurung, Erin Ottmar |
| 2024 | Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. Lixiang Yan, Roberto Martínez Maldonado, Dragan Gasevic |
| 2024 | Harnessing Transparent Learning Analytics for Individualized Support through Auto-detection of Engagement in Face-to-Face Collaborative Learning. Qi Zhou, Wannapon Suraworachet, Mutlu Cukurova |
| 2024 | Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude. Rogers Kaliisa, Kamila Misiejuk, Sonsoles López-Pernas, Mohammad Khalil, Mohammed Saqr |
| 2024 | Heterogenous Network Analytics of Small Group Teamwork: Using Multimodal Data to Uncover Individual Behavioral Engagement Strategies. Shihui Feng, Lixiang Yan, Linxuan Zhao, Roberto Martínez Maldonado, Dragan Gasevic |
| 2024 | Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch |
| 2024 | How do visualizations and automated personalized feedback engage professional learners in a Learning Analytics Dashboard? Sarah Alcock, Bart Rienties, Maria Aristeidou, Soraya Kouadri Mostéfaoui |
| 2024 | Human-tutor Coaching Technology (HTCT): Automated Discourse Analytics in a Coached Tutoring Model. Brandon M. Booth, Jennifer Jacobs, Jeffrey B. Bush, Brent Milne, Tom Fischaber, Sidney K. D'Mello |
| 2024 | Improving Model Fairness with Time-Augmented Bayesian Knowledge Tracing. Jake Barrett, Alasdair Day, Kobi Gal |
| 2024 | Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger |
| 2024 | Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors. Andres Felipe Zambrano, Jiayi Zhang, Ryan S. Baker |
| 2024 | Kattis vs ChatGPT: Assessment and Evaluation of Programming Tasks in the Age of Artificial Intelligence. Nora Dunder, Saga Lundborg, Jacqueline Wong, Olga Viberg |
| 2024 | Large language model augmented exercise retrieval for personalized language learning. Austin Xu, Will Monroe, Klinton Bicknell |
| 2024 | Learner Modeling and Recommendation of Learning Resources using Personal Knowledge Graphs. Qurat Ul Ain, Mohamed Amine Chatti, Paul Arthur Meteng Kamdem, Rawaa Alatrash, Shoeb Ahmed Joarder, Clara Siepmann |
| 2024 | Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. Andres Felipe Zambrano, Ryan Shaun Baker |
| 2024 | Measurement of Self-regulated Learning: Strategies for mapping trace data to learning processes and downstream analysis implications: 0000-0001-7672-4636. Ikenna Osakwe |
| 2024 | Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. 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 |
| 2024 | Millions of Views, But Does It Promote Learning? Analyzing Popular SciComm Production Styles Regarding Learning Success, User Behavior and Perception. Hendrik Steinbeck, Mohamed Elhayany, Christoph Meinel |
| 2024 | Minds and Machines Unite: Deciphering Social and Cognitive Dynamics in Collaborative Problem Solving with AI. Mohammad Amin Samadi, Spencer Jaquay, Yiwen Lin, Elham Tajik, Seehee Park, Nia Nixon |
| 2024 | 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. Gerti Pishtari |
| 2024 | Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. Ashish Gurung, Kirk Vanacore, Andrew A. McReynolds, Korinn S. Ostrow, Eamon Worden, Adam C. Sales, Neil T. Heffernan |
| 2024 | Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi |
| 2024 | Needs Analysis of Learning Analytics Dashboard for College Teacher Online Professional Learning in an International Training Initiative for the Global South. Chao Wang, Xiao Hu, Nora Patricia Hernández López, Jeremy Tzi Dong Ng |
| 2024 | Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki |
| 2024 | Novice programmers inaccurately monitor the quality of their work and their peers' work in an introductory computer science course. Elizabeth B. Cloude, Pranshu Kumar, Ryan Shaun Baker, Eric Fouh |
| 2024 | Places to intervene in complex learning systems. Kirsty Kitto, Andrew Gibson |
| 2024 | Predicting challenge moments from students' discourse: A comparison of large language models to other natural language processing approaches. Wannapon Suraworachet, Mutlu Cukurova |
| 2024 | Probing Actionability in Learning Analytics: The Role of Routines, Timing, and Pathways. Yeonji Jung, Alyssa Friend Wise |
| 2024 | Proceedings of the 14th Learning Analytics and Knowledge Conference, LAK 2024, Kyoto, Japan, March 18-22, 2024 |
| 2024 | Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation. Chenyu Hou, Gaoxia Zhu, Juan Zheng, Lishan Zhang, Xiaoshan Huang, Tianlong Zhong, Shan Li, Hanxiang Du, Chin Lee Ker |
| 2024 | Quantifying Collaborative Complex Problem Solving in Classrooms using Learning Analytics. Megan Taylor, Abhinava Barthakur, Arslan Azad, Srecko Joksimovic, Xuwei Zhang, George Siemens |
| 2024 | Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven |
| 2024 | SLADE: A Method for Designing Human-Centred Learning Analytics Systems. Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado |
| 2024 | Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. Qinyi Liu, Mohammad Khalil, Jelena Jovanovic, Ronas Shakya |
| 2024 | Shaping and evaluating a system for affective computing in online higher education using a participatory design and the system usability scale. Krist Shingjergji, Corrie C. Urlings, Deniz Iren, Roland Klemke |
| 2024 | Student Effort and Progress Learning Analytics Data Inform Teachers' SEL Discussions in Math Class. Natalie Brezack, Wynnie Chan, Mingyu Feng |
| 2024 | Synthetic Dataset Generation for Fairer Unfairness Research. Lan Jiang, Clara Belitz, Nigel Bosch |
| 2024 | TeamSlides: a Multimodal Teamwork Analytics Dashboard for Teacher-guided Reflection in a Physical Learning Space. 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 |
| 2024 | Temporal and Between-Group Variability in College Dropout Prediction. Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer |
| 2024 | The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. Kirk Vanacore, Ashish Gurung, Adam Sales, Neil T. Heffernan |
| 2024 | The Relation Among Gender, Language, and Posting Type in Online Chemistry Course Discussion Forums. Genevieve M. Henricks, Michelle Perry, Suma Bhat |
| 2024 | The Role of Gender in Citation Practices of Learning Analytics Research. Oleksandra Poquet, Srecko Joksimovic, Pernille Brams |
| 2024 | The Sequence Matters in Learning - A Systematic Literature Review. Manuel Valle Torre, Catharine Oertel, Marcus Specht |
| 2024 | The Unspoken Aspect of Socially Shared Regulation in Collaborative Learning: AI-Driven Learning Analytics Unveiling 'Silent Pauses'. Belle Dang, Andy Nguyen, Sanna Järvelä |
| 2024 | The relationships among school engagement, students' emotions, and academic performance in an elementary online learning. Jae H. Paik, Igor Himelfarb, Seung Hee Yoo, KyoungMi Yoo, Hoyong Ha |
| 2024 | To what extent do responses to a single survey question provide insights into students' sense of belonging? Sriram Ramanathan, Simon Buckingham Shum, Lisa-Angelique Lim |
| 2024 | Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education. Abhinava Barthakur, Jelena Jovanovic, Andrew Zamecnik, Vitomir Kovanovic, Gongjun Xu, Shane Dawson |
| 2024 | Towards Improving Rhetorical Categories Classification and Unveiling Sequential Patterns in Students' Writing. Sehrish Iqbal, Mladen Rakovic, Guanliang Chen, Tongguang Li, Jasmine Bajaj, Rafael Ferreira Mello, Yizhou Fan, Naif Radi Aljohani, Dragan Gasevic |
| 2024 | Understanding Knowledge Convergence in a Cross-cultural Online Context: An Individual and Collective Approach. Mengtong Xiang, Jingjing Zhang, Yue Li |
| 2024 | Understanding engagement through game learning analytics and design elements: Insights from a word game case study. Katerina Mangaroska, Kristine Larssen, Andreas Amundsen, Boban Vesin, Michail N. Giannakos |
| 2024 | Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen |
| 2024 | Unveiling Synchrony of Learners' Multimodal Data in Collaborative Maker Activities. Zuo Wang, Jeremy Tzi Dong Ng, Ying Que, Xiao Hu |
| 2024 | Using Multimodal Learning Analytics to Examine Learners' Responses to Different Types of Background Music during Reading Comprehension. Ying Que, Tzi-Dong Jeremy Ng, Xiao Hu, Mitchell Kam Fai Mak, Peony Tsz Yan Yip |
| 2024 | Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. Conrad Borchers, Jiayi Zhang, Ryan S. Baker, Vincent Aleven |
| 2024 | What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain. Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt |
| 2024 | Which Planning Tactics Predict Online Course Completion? Ji Yong Cho, Yan Tao, Michael Yeomans, Dustin Tingley, René F. Kizilcec |