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ORCID14th LAK 2024: Kyoto, Japan
- Proceedings of the 14th Learning Analytics and Knowledge Conference, LAK 2024, Kyoto, Japan, March 18-22, 2024. ACM 2024
Research Articles
- Jay Sloan-Lynch
, Robert Morse:
Equity-Forward Learning Analytics: Designing a Dashboard to Support Marginalized Student Success. 1-11 - Tung Phung, Victor-Alexandru Padurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares:
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation. 12-23 - Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Zachari Swiecki, Dragan Gasevic, Roberto Martínez-Maldonado:
SLADE: A Method for Designing Human-Centred Learning Analytics Systems. 24-34 - 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. 35-45 - Jake Barrett, Alasdair Day, Kobi Gal:
Improving Model Fairness with Time-Augmented Bayesian Knowledge Tracing. 46-54 - Stephen Hutt, Allison DePiro, Joann Wang, Sam Rhodes, Ryan Shaun Baker, Grayson Hieb, Sheela Sethuraman, Jaclyn Ocumpaugh, Caitlin Mills:
Feedback on Feedback: Comparing Classic Natural Language Processing and Generative AI to Evaluate Peer Feedback. 55-65 - Andres Felipe Zambrano, Ryan Shaun Baker:
Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. 66-77 - Abhinava Barthakur, Jelena Jovanovic, Andrew Zamecnik, Vitomir Kovanovic, Gongjun Xu, Shane Dawson:
Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education. 78-89 - Linxuan Zhao, Vanessa Echeverría, Zachari Swiecki, Lixiang Yan, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez-Maldonado:
Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning. 90-100 - Lixiang Yan, Roberto Martínez-Maldonado, Dragan Gasevic:
Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. 101-111 - 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. 112-122 - 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. 123-133 - 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. 134-144 - 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. 145-156 - Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki:
Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. 157-166 - Mikaela Elizabeth Milesi, Roberto Martínez-Maldonado:
Data Storytelling in Learning Analytics? A Qualitative Investigation into Educators' Perceptions of Benefits and Risks. 167-177 - Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. 178-188 - Genevieve M. Henricks, Michelle Perry, Suma Bhat:
The Relation Among Gender, Language, and Posting Type in Online Chemistry Course Discussion Forums. 189-199 - Lan Jiang, Clara Belitz, Nigel Bosch:
Synthetic Dataset Generation for Fairer Unfairness Research. 200-209 - 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. 210-218 - 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. 219-230 - Belle Dang, Andy Nguyen, Sanna Järvelä:
The Unspoken Aspect of Socially Shared Regulation in Collaborative Learning: AI-Driven Learning Analytics Unveiling 'Silent Pauses'. 231-240 - Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas:
Exploring Confusion and Frustration as Non-linear Dynamical Systems. 241-252 - 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. 253-262 - Manuel Valle Torre, Catharine Oertel, Marcus Specht:
The Sequence Matters in Learning - A Systematic Literature Review. 263-272 - 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. 273-283 - Austin Xu, Will Monroe, Klinton Bicknell:
Large language model augmented exercise retrieval for personalized language learning. 284-294 - 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. 295-304 - Katerina Mangaroska, Kristine Larssen, Andreas Amundsen, Boban Vesin, Michail N. Giannakos:
Understanding engagement through game learning analytics and design elements: Insights from a word game case study. 305-315 - Sarah Alcock, Bart Rienties, Maria Aristeidou, Soraya Kouadri Mostéfaoui:
How do visualizations and automated personalized feedback engage professional learners in a Learning Analytics Dashboard? 316-325 - John Saint, Yizhou Fan, Dragan Gasevic:
Analytics of scaffold compliance for self-regulated learning. 326-337 - Natalie Brezack, Wynnie Chan, Mingyu Feng:
Student Effort and Progress Learning Analytics Data Inform Teachers' SEL Discussions in Math Class. 338-348 - Andres Felipe Zambrano, Jiayi Zhang, Ryan S. Baker:
Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors. 349-359 - Ji Yong Cho, Yan Tao, Michael Yeomans, Dustin Tingley, René F. Kizilcec:
Which Planning Tactics Predict Online Course Completion? 360-370 - 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. 371-381 - Krist Shingjergji, Corrie C. Urlings, Deniz Iren, Roland Klemke:
Shaping and evaluating a system for affective computing in online higher education using a participatory design and the system usability scale. 382-391 - Qi Zhou, Wannapon Suraworachet, Mutlu Cukurova:
Harnessing Transparent Learning Analytics for Individualized Support through Auto-detection of Engagement in Face-to-Face Collaborative Learning. 392-403 - 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:
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. 404-415 - Karen D. Wang, Zhongzhou Chen, Carl E. Wieman:
Can Crowdsourcing Platforms Be Useful for Educational Research? 416-425 - Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. 426-437 - Tongguang Li, Dragan Gasevic:
Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. 438-449 - Frederik Baucks, Robin Schmucker, Laurenz Wiskott:
Gaining Insights into Course Difficulty Variations Using Item Response Theory. 450-461 - Kirk Vanacore, Ashish Gurung, Adam Sales, Neil T. Heffernan:
The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. 462-472 - Wannapon Suraworachet, Mutlu Cukurova:
Predicting challenge moments from students' discourse: A comparison of large language models to other natural language processing approaches. 473-485 - Dominik Glandorf, Hye Rin Lee, Gabe Avakian Orona, Marina Pumptow, Renzhe Yu, Christian Fischer:
Temporal and Between-Group Variability in College Dropout Prediction. 486-497 - Karen D. Wang, Haoyu Liu, David DeLiema, Nick Haber, Shima Salehi:
Discovering Players' Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining. 498-506 - Ashish Gurung, Kirk Vanacore, Andrew A. McReynolds, Korinn S. Ostrow, Eamon Worden, Adam C. Sales, Neil T. Heffernan:
Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning. 507-517 - Chenyu Hou, Gaoxia Zhu, Juan Zheng, Lishan Zhang, Xiaoshan Huang, Tianlong Zhong, Shan Li, Hanxiang Du, Chin Lee Ker:
Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation. 518-528 - Conrad Borchers, Jiayi Zhang, Ryan S. Baker, Vincent Aleven:
Using Think-Aloud Data to Understand Relations between Self-Regulation Cycle Characteristics and Student Performance in Intelligent Tutoring Systems. 529-539 - Caitlin Snyder, Nicole M. Hutchins, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas:
Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. 540-550 - Megan Taylor, Abhinava Barthakur, Arslan Azad, Srecko Joksimovic, Xuwei Zhang, George Siemens:
Quantifying Collaborative Complex Problem Solving in Classrooms using Learning Analytics. 551-562 - Ikenna Osakwe:
Measurement of Self-regulated Learning: Strategies for mapping trace data to learning processes and downstream analysis implications: 0000-0001-7672-4636. 563-575 - 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:
Computational Modeling of Collaborative Discourse to Enable Feedback and Reflection in Middle School Classrooms. 576-586 - Shihui Feng, Lixiang Yan, Linxuan Zhao, Roberto Martínez-Maldonado, Dragan Gasevic:
Heterogenous Network Analytics of Small Group Teamwork: Using Multimodal Data to Uncover Individual Behavioral Engagement Strategies. 587-597 - Shreya K. Sheel, Ioannis Anastasopoulos, Zachary A. Pardos:
Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs. 598-607 - Lin Li, Namrata Srivastava, Jia Rong, Gina Pianta, Raju Varanasi, Dragan Gasevic, Guanliang Chen:
Unveiling Goods and Bads: A Critical Analysis of Machine Learning Predictions of Standardized Test Performance in Early Childhood Education. 608-619 - Qinyi Liu, Mohammad Khalil, Jelena Jovanovic, Ronas Shakya:
Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. 620-631 - 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. 632-644 - Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran:
CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. 645-655 - 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. 656-666 - 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. 667-677 - 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. 678-689 - Maxwell Szymanski, Jeroen Ooge, Robin De Croon, Vero Vanden Abeele, Katrien Verbert:
Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI. 690-700 - 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. 701-712 - 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. 713-724 - Brandon M. Booth, Jennifer Jacobs, Jeffrey B. Bush, Brent Milne, Tom Fischaber, Sidney K. D'Mello:
Human-tutor Coaching Technology (HTCT): Automated Discourse Analytics in a Coached Tutoring Model. 725-735
Short Papers
- Marie-Luce Bourguet:
Demonstrating the impact of study regularity on academic success using learning analytics. 736-741 - 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. 742-748 - 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. 749-756 - Cheryl Sze Yin Wong, Savitha Ramasamy:
Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. 757-762 - Hai Li, Chenglu Li, Wanli Xing, Sami Baral, Neil T. Heffernan:
Automated Feedback for Student Math Responses Based on Multi-Modality and Fine-Tuning. 763-770 - Yukyeong Song, Chenglu Li, Wanli Xing, Shan Li, Hakeoung Hannah Lee:
A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment. 771-778 - Mengtong Xiang, Jingjing Zhang, Yue Li:
Understanding Knowledge Convergence in a Cross-cultural Online Context: An Individual and Collective Approach. 779-784 - Zaibei Li, Martin Thoft Jensen, Alexander Nolte, Daniel Spikol:
Field report for Platform mBox: Designing an Open MMLA Platform. 785-791 - Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt:
What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain. 792-799 - Pankaj Chejara:
Bringing Collaborative Analytics using Multimodal Data to Masses: Evaluation and Design Guidelines for Developing a MMLA System for Research and Teaching Practices in CSCL. 800-806 - Oleksandra Poquet, Srecko Joksimovic, Pernille Brams:
The Role of Gender in Citation Practices of Learning Analytics Research. 807-813 - Ryan Garg, Jaeyoung Han, Yixin Cheng, Zheng Fang, Zachari Swiecki:
Automated Discourse Analysis via Generative Artificial Intelligence. 814-820 - Nora Dunder, Saga Lundborg, Jacqueline Wong, Olga Viberg:
Kattis vs ChatGPT: Assessment and Evaluation of Programming Tasks in the Age of Artificial Intelligence. 821-827 - Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk:
Code Soliloquies for Accurate Calculations in Large Language Models. 828-835 - 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. 836-842 - Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill:
Estimating the Causal Treatment Effect of Unproductive Persistence. 843-849 - 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. 850-856 - Yinuo Xu, Zachary A. Pardos:
Extracting Course Similarity Signal using Subword Embeddings. 857-863 - Morgan P. Lee, Abubakir Siedahmed, Neil T. Heffernan:
Expert Features for a Student Support Recommendation Contextual Bandit Algorithm. 864-870 - Yeonji Jung, Alyssa Friend Wise:
Probing Actionability in Learning Analytics: The Role of Routines, Timing, and Pathways. 871-877 - Sriram Ramanathan, Simon Buckingham Shum, Lisa-Angelique Lim:
To what extent do responses to a single survey question provide insights into students' sense of belonging? 878-884 - 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. 885-891 - Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte:
Exploring Student Expectations and Confidence in Learning Analytics. 892-898 - Siddhartha Pradhan, Ashish Gurung, Erin Ottmar:
Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning. 899-906 - M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi:
Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. 907-914 - 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. 915-921 - Zuo Wang, Jeremy Tzi Dong Ng, Ying Que, Xiao Hu:
Unveiling Synchrony of Learners' Multimodal Data in Collaborative Maker Activities. 922-928 - Kirsty Kitto, Andrew Gibson:
Places to intervene in complex learning systems. 929-935 - Yige Song, Eduardo Oliveira, Michael Kirley, Pauline Thompson:
A Case Study on University Student Online Learning Patterns Across Multidisciplinary Subjects. 936-942
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