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ORCID15th LAK 2025: Dublin, Ireland
- Proceedings of the 15th International Learning Analytics and Knowledge Conference, LAK 2025, Dublin, Ireland, March 3-7, 2025. ACM 2025, ISBN 979-8-4007-0701-8
Research Articles
- Jeroen Ooge, Arno Vanneste, Maxwell Szymanski, Katrien Verbert:
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection. 1-12 - Ilya Musabirov, Mohi Reza, Haochen Song, Steven Moore, Pan Chen, Harsh Kumar, Tong Li, John C. Stamper, Norman L. Bier, Anna N. Rafferty, Thomas W. Price, Nina Deliu, Audrey Durand, Michael Liut, Joseph Jay Williams:
Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. 13-23 - Grace D. Jaiyeola, Aaron Y. Wong, Richard L. Bryck, Caitlin Mills, Stephen Hutt:
One Size Does Not Fit All: Considerations when using Webcam-Based Eye Tracking to Models of Neurodivergent Learners' Attention and Comprehension. 24-35 - Bowen Hui, Opey Adeyemi, Kiet Phan, Justin Schoenit, Seth Akins, Keyvan Khademi:
Diversity Considerations in Team Formation Design, Algorithm, and Measurement. 36-46 - Stella Xin Yin, Zhengyuan Liu, Dion Hoe-Lian Goh, Choon Lang Quek, Nancy F. Chen:
Scaling Up Collaborative Dialogue Analysis: An AI-driven Approach to Understanding Dialogue Patterns in Computational Thinking Education. 47-57 - Riordan Alfredo, Paola Mejia-Domenzain, Vanessa Echeverría, Dwi Rahayu, Linxuan Zhao, Haya Alajlan, Zachari Swiecki, Tanja Käser, Dragan Gasevic, Roberto Martínez-Maldonado:
TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection. 58-69 - Lixiang Yan, Dragan Gasevic, Vanessa Echeverría, Yueqiao Jin, Linxuan Zhao, Roberto Martínez-Maldonado:
From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning. 70-81 - Sylvio Rüdian, Julia Podelo, Jakub Kuzilek, Niels Pinkwart:
Feedback on Feedback: Student's Perceptions for Feedback from Teachers and Few-Shot LLMs. 82-92 - Rafael Ferreira Mello, Cleon Pereira Junior, Luiz A. L. Rodrigues, Filipe Dwan Pereira, Luciano de Souza Cabral, Newarney Costa, Geber L. Ramalho, Dragan Gasevic:
Automatic Short Answer Grading in the LLM Era: Does GPT-4 with Prompt Engineering beat Traditional Models? 93-103 - Manika Garg, Anita Goel:
Towards Fair Assessments: A Machine Learning-based Approach for Detecting Cheating in Online Assessments. 104-114 - Elias Hedlin, Ludwig Estling, Jacqueline Wong, Carrie Demmans Epp, Olga Viberg:
Got It! Prompting Readability Using ChatGPT to Enhance Academic Texts for Diverse Learning Needs. 115-125 - Valdemar Svábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada:
Evaluating the Impact of Data Augmentation on Predictive Model Performance. 126-136 - Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma, Tianjia He, Shin'ichi Konomi:
Towards Better Course Recommendations: Integrating Multi-Perspective Meta-Paths and Knowledge Graphs. 137-147 - Ziqing Li, Mutlu Cukurova, Sahan Bulathwela:
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education. 148-158 - Insub Shin, Su Bhin Hwang, Yun Joo Yoo, Sooan Bae, Rae Yeong Kim:
Comparing Student Preferences for AI-Generated and Peer-Generated Feedback in AI-driven Formative Peer Assessment. 159-169 - Mohammad Khalil, Paul Prinsloo:
The lack of generalisability in learning analytics research: why, how does it matter, and where to? 170-180 - Qinyi Liu, Ronas Shakya, Mohammad Khalil, Jelena Jovanovic:
Advancing privacy in learning analytics using differential privacy. 181-191 - Jaclyn Ocumpaugh, Nidhi Nasiar, Andres Felipe Zambrano, Alex Goslen, Jessica Vandenberg, Jordan Esiason, Jonathan P. Rowe, Stephen Hutt:
Refocusing the lens through which we view affect dynamics: The Skills, Difficulty, Value, Efficacy and Time Model. 192-203 - Jaclyn Ocumpaugh, Xiner Liu, Andres Felipe Zambrano:
Language Models and Dialect Differences. 204-215 - Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki:
The Company You Keep: Refining Neural Epistemic Network Analysis. 216-226 - Melissa Lee, Chunwei Huang, Kelly Collins, Mingyu Feng:
Examining the Relationship between Math Anxiety, Effort, and Learning Outcomes Using Latent Class Analysis. 227-237 - Zhangqi Duan, Nigel Fernandez, Alexander Hicks, Andrew Lan:
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks. 238-248 - Alexander Scarlatos, Ryan Shaun Baker, Andrew Lan:
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs. 249-259 - Yixin Cheng, Rui Guan, Tongguang Li, Mladen Rakovic, Xinyu Li, Yizhou Fan, Flora Ji-Yoon Jin, Yi-Shan Tsai, Dragan Gasevic, Zachari Swiecki:
Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures. 260-271 - Lina Zhong, Weijie Lang, Jia Rong, Guanliang Chen, Miao Fan:
Enhancing Motivation and Learning in Primary School History Classrooms: The Impact of Virtual Reality. 272-282 - Saleh Ramadhan Alghamdi, Mladen Rakovic, Kaixun Yang, Yizhou Fan, Dragan Gasevic, Guanliang Chen:
Analytics of Temporal Patterns of Self-regulated Learners: A Time Series Approach. 283-292 - Changrong Xiao, Wenxing Ma, Qingping Song, Sean Xin Xu, Kunpeng Zhang, Yufang Wang, Qi Fu:
Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs. 293-305 - Christothea Herodotou, Jessica Carr, Sagun Shrestha, Catherine Comfort, Vaclav Bayer, Claire Maguire, John Lee, Paul Mulholland, Miriam Fernández:
Prescriptive analytics motivating distance learning students to take remedial action: A case study of a student-facing dashboard. 306-316 - Pakon Ko, Cong Liu, Nancy Law, Yuanru Tan, David Williamson Shaffer:
Exploring students' epistemic orientation, learning trajectories, and outcomes. 317-327 - Gabrielle Martins Van Jaarsveld, Jacqueline Wong, Martine Baars, Marcus Specht, Fred Paas:
Scaling goal-setting interventions in higher education using a conversational agent: Examining the effectiveness of guidance and adaptive feedback. 328-338 - Yige Song, Eduardo Oliveira, Paula G. de Barba, Michael Kirley, Pauline Thompson:
Investigating Validity and Generalisability in Trace-Based Measurement of Self-Regulated Learning: A Multidisciplinary Study. 339-350 - Mohammed Saqr, Sonsoles López-Pernas, Tiina Törmänen, Rogers Kaliisa, Kamila Misiejuk, Santtu Tikka:
Transition Network Analysis: A Novel Framework for Modeling, Visualizing, and Identifying the Temporal Patterns of Learners and Learning Processes. 351-361 - Christof Imhof, Martin Hlosta, Per Bergamin:
Will they or won't they make it in time? The role of contextual and behavioral predictors in reaching deadlines of mandatory assignments. 362-372 - Devika Venugopalan, Ziwen Yan, Conrad Borchers, Jionghao Lin, Vincent Aleven:
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support. 373-383 - Mónica Hernández-Campos, Isabel Hilliger, Francisco José García-Peñalvo:
Evaluating Learning Outcomes Through Curriculum Analytics: Actionable Insights for Curriculum Decision-making: A Design-based research approach to assess learning outcomes in higher education. 384-394 - Anna Pauline Aguinalde, Jinnie Shin:
Talking in Sync: How Linguistic Synchrony Shapes Teacher-Student Conversation in English as a Second Language Tutoring Environment. 395-406 - Josmario Albuquerque, Bart Rienties, Blazenka Divjak:
Decoding Learning Design Decisions: A Cluster Analysis of 12, 749 Teaching and Learning Activities. 407-417 - Haejin Lee, Clara Belitz, Nidhi Nasiar, Nigel Bosch:
XAI Reveals the Causes of Attention Deficit Hyperactivity Disorder (ADHD) Bias in Student Performance Prediction. 418-428 - Halim Acosta, Daeun Hong, Seung Y. Lee, Wookhee Min, Bradford W. Mott, Cindy E. Hmelo-Silver, James C. Lester:
Collaborative Game-based Learning Analytics: Predicting Learning Outcomes from Game-based Collaborative Problem Solving Behaviors. 429-438 - Mohammad Khalil, Farhad Vadiee, Ronas Shakya, Qinyi Liu:
Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. 439-450 - Jae-Eun Russell, Anna Marie Smith, Salim George, Jonah Pratt, Brian Fodale, Cassandra Monk, Adam Brummett:
Unlocking Insights: Investigating Student AI Tutor Interactions in a Large Introductory STEM Course. 451-461 - Kathrin Seßler, Maurice Fürstenberg, Babette Bühler, Enkelejda Kasneci:
Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoring. 462-472 - Yu Fang, Shihong Huang, Amy Ogan:
A Cross-Cultural Confusion Model for Detecting and Evaluating Students' Confusion In a Large Classroom. 473-483 - Mohammad Hassany, Peter Brusilovsky, Jaromír Savelka, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Arav Agarwal, Rully Agus Hendrawan:
Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans. 484-493 - Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. 494-504 - Danielle R. Thomas, Conrad Borchers, Sanjit Kakarla, Jionghao Lin, Shambhavi Bhushan, Boyuan Guo, Erin Gatz, Kenneth R. Koedinger:
Do Tutors Learn from Equity Training and Can Generative AI Assess It? 505-515 - Linxuan Zhao, Mladen Rakovic, Elizabeth B. Cloude, Xinyu Li, Dragan Gasevic, Lisa Bardach:
The Effect of Sequential Transition of Self-Regulated Learning Processes on Performance: Insights from Ordered Network Analysis. 516-526 - Kimberly Williamson, René F. Kizilcec, Sean Fath, Neil T. Heffernan:
Algorithm Appreciation in Education: Educators Prefer Complex over Simple Algorithms. 527-536 - Yeyu Wang, Zack Carpenter, Zachari Swiecki, David Williamson Shaffer:
Qualitative Parameter Triangulation: A Conceptual and Methodological Framework for Event-Based Temporal Models. 537-546 - Jaeyoon Choi, Shamya Karumbaiah, Jeffrey Matayoshi:
Bias or Insufficient Sample Size? Improving Reliable Estimation of Algorithmic Bias for Minority Groups. 547-557 - Alrike Claassen, Negin Mirriahi, Vitomir Kovanovic, Shane Dawson:
From Data to Design: Integrating Learning Analytics into Educational Design for Effective Decision-Making: From Data to Design. 558-567 - Kaixun Yang, Mladen Rakovic, Zhiping Liang, Lixiang Yan, Zijie Zeng, Yizhou Fan, Dragan Gasevic, Guanliang Chen:
Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. 568-578 - Yueqiao Jin, Kaixun Yang, Lixiang Yan, Vanessa Echeverría, Linxuan Zhao, Riordan Alfredo, Mikaela Elizabeth Milesi, Jie Xiang Fan, Xinyu Li, Dragan Gasevic, Roberto Martínez-Maldonado:
Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots. 579-590 - Qinyi Liu, Oscar Blessed Deho, Farhad Vadiee, Mohammad Khalil, Srecko Joksimovic, George Siemens:
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms. 591-600 - Xinyun He, Qi Shu, Mo Zhang, Wei Huang, Han Zhao, Mengxiao Zhu:
Beyond Final Products: Multi-Dimensional Essay Scoring Using Keystroke Logs and Deep Learning. 601-610 - Soyeon Mun, Il-Hyun Jo:
Evolving the 4C/ID model through learning analytics approaches: Teaching and learning system design framework for supporting learners' complex problem-solving. 611-619 - Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen:
Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education. 620-630 - Ge Gao, Amelia Leon, Andrea Jetten, Jasmine Turner, Husni Almoubayyed, Stephen Fancsali, Emma Brunskill:
Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data. 631-641 - Steve Woollaston, Brendan Flanagan, Patrick Ocheja, Yuko Toyokawa, Hiroaki Ogata:
ARCHIE: Exploring Language Learner Behaviors in LLM Chatbot-Supported Active Reading Log Data with Epistemic Network Analysis. 642-654 - Abisha Thapa Magar, Anup Shakya, Stephen E. Fancsali, Vasile Rus, April Murphy, Steve Ritter, Deepak Venugopal:
"Can A Language Model Represent Math Strategies?": Learning Math Strategies from Big Data using BERT. 655-666 - Tongguang Li, Debarshi Nath, Yixin Cheng, Yizhou Fan, Xinyu Li, Mladen Rakovic, Hassan Khosravi, Zachari Swiecki, Yi-Shan Tsai, Dragan Gasevic:
Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence. 667-679 - Chen Sun, Valerie Shute, Angela E. B. Stewart, Sidney K. D'Mello:
The Relationship between Collaborative Problem-Solving Skills and Group-to-Individual Learning Transfer in a Game-based Learning Environment. 680-689 - Joe Tang, Andrew Gibson, Peter Bruza:
Analysis of exploratory behaviour: A step towards modelling of curiosity. 690-701 - Rebecca Ferguson, Yuveena Gopalan, Simon Buckingham Shum:
What's the Value of a Doctoral Consortium? Analysing a Decade of LAK DCs as a Community of Practice. 702-712 - Sriram Ramanathan, Lisa-Angelique Lim, Nazanin Rezazadeh Mottaghi, Simon Buckingham Shum:
When the Prompt becomes the Codebook: Grounded Prompt Engineering (GROPROE) and its application to Belonging Analytics. 713-725 - Blazenka Divjak, Abhinava Barthakur, Vitomir Kovanovic, Barbi Svetec:
The Impact of Learning Design on the Mastery of Learning Outcomes in Higher Education. 726-737 - Chengyuan Yao, Carmen Cortez, Renzhe Yu:
Towards Fair and Privacy-Aware Transfer Learning for Educational Predictive Modeling: A Case Study on Retention Prediction in Community Colleges. 738-749 - Juliette Woodrow, Chris Piech:
Soft Grades: A Calibrated and Accurate Method for Course-Grade Estimation that Expresses Uncertainty. 750-760 - Alex Barrett, Fengfeng Ke, Nuodi Zhang, Chih-Pu Dai, Saptarshi Bhowmik, Xin Yuan:
Pattern analysis of ambitious science talk between preservice teachers and AI-powered student agents. 761-770 - Hannah Deininger, Cora Parrisius, Rosa Lavelle-Hill, Detmar Meurers, Ulrich Trautwein, Benjamin Nagengast, Gjergji Kasneci:
Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement. 771-782
Short Papers
- Julie Le Tallec, Ethan Prihar, Tanja Käser:
The Effect of Different Support Strategies on Student Affect. 783-789 - Ryan Baker, Caitlin Mills, Jaeyoon Choi:
The Difficulty of Achieving High Precision with Low Base Rates for High-Stakes Intervention. 790-796 - Ryan Baker, Stephen Hutt:
MORF: A Post-Mortem. 797-802 - Ha Nguyen, Saerok Park:
Providing Automated Feedback on Formative Science Assessments: Uses of Multimodal Large Language Models. 803-809 - Conrad Borchers, Jeroen Ooge, Cindy Peng, Vincent Aleven:
How Learner Control and Explainable Learning Analytics About Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice. 810-816 - Alona Strugatski, Giora Alexandron:
Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments. 817-823 - Zuo Wang, Weiyue Lin, Xiao Hu:
Self-service Teacher-facing Learning Analytics Dashboard with Large Language Models. 824-830 - Thorben Jansen, Andrea Horbach, Jennifer Meyer:
Feedback from Generative AI: Correlates of Student Engagement in Text Revision from 655 Classes from Primary and Secondary School. 831-836 - Conrad Borchers, Ryan S. Baker:
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation. 837-843 - Darren Butler, Conrad Borchers, Michael W. Asher, Yongmin Lee, Sonya Karnataki, Sameeksha Dangi, Samyukta Athreya, John C. Stamper, Amy Ogan, Paulo Carvalho:
Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. 844-850 - Mengtong Xiang, Jingjing Zhang, Mohammed Saqr, Han Jiang, Wei Liu:
Capturing The Temporal Dynamics of Learner Interactions In Moocs: A Comprehensive Approach With Longitudinal And Inferential Network Analysis. 851-857 - Mamta Shah, Yuanru Tan, Brendan R. Eagan, Brittny Chabalowski, Yahan Chen:
A Dual-Method Examination of Nursing Students' Teamwork in Simulation-Based Learning: Combining CORDTRA and Ordered Network Analysis to Reveal Patterns and Dynamics. 858-864 - Luiz A. L. Rodrigues, Cleon Xavier, Newarney Costa, Hyan Batista, Luiz Felipe Bagnhuk Silva, Weslei Chaleghi de Melo, Dragan Gasevic, Rafael Ferreira Mello:
LLMs Performance in Answering Educational Questions in Brazilian Portuguese: A Preliminary Analysis on LLMs Potential to Support Diverse Educational Needs. 865-871 - Zaibei Li, Shunpei Yamaguchi, Daniel Spikol:
OpenMMLA: an IoT-based Multimodal Data Collection Toolkit for Learning Analytics. 872-879 - Kevin Huang, Rafael Ferreira Mello, Cleon Pereira Junior, Luiz A. L. Rodrigues, Martine Baars, Olga Viberg:
That's What RoBERTa Said: Explainable Classification of Peer Feedback. 880-886 - Bailing Lyu, Chenglu Li, Hai Li, Hyunju Oh, Yukyeong Song, Wangda Zhu, Wanli Xing:
Exploring the Role of Teachable AI Agents' Personality Traits in Shaping Student Interaction and Learning in Mathematics Education. 887-894 - Alejandro Ortega-Arranz, Paraskevi Topali, Inge Molenaar:
Configuring and Monitoring Students' Interactions with Generative AI Tools: Supporting Teacher Autonomy. 895-902 - Hongchen Pan, Eduardo Araujo Oliveira, Rafael Ferreira Mello:
Exploring Human-AI Collaboration in Educational Contexts: Insights from Writing Analytics and Authorship Attribution. 903-909 - Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Bailing Lyu, Fan Zhang, Zifeng Liu:
Who Should Be My Tutor? Analyzing the Interactive Effects of Automated Text Personality Styles Between Middle School Students and a Mathematics Chatbot. 910-917 - Wangda Zhu, Wanli Xing, Bailing Lyu, Chenglu Li, Fan Zhang, Hai Li:
Bridging the Gender Gap: The Role of AI-Powered Math Story Creation in Learning Outcomes. 918-923 - Fanjie Li, Alyssa Friend Wise:
From Filling Gaps to Amplifying Strengths: Exploring an Asset-Based Approach to Learning Analytics. 924-930 - Arash Ahrar, Mohammadreza Doroodian, Marek Hatala:
Exploring Eye-tracking Features to Understand Students' Sensemaking of Learning Analytics Dashboards. 931-937 - Seehee Park, Nia Nixon, Sidney D'Mello, Danielle Shariff, Jaeyoon Choi:
Understanding Collaborative Learning Processes and Outcomes Through Student Discourse Dynamics. 938-943 - Joy Yun, Allen Nie, Emma Brunskill, Dorottya Demszky:
Exploring the Benefit of Customizing Feedback Interventions For Educators and Students With Offline Contextual Multi-Armed Bandits. 944-949 - Luis Pablo Prieto, Riordan Alfredo, Henry Benjamín Díaz-Chavarría, Roberto Martínez-Maldonado, Vanessa Echeverría:
VALA/AID: A Method for Rapid, Participatory Value-sensitive Learning Analytics and Artificial Intelligence Design. 950-956 - Markus Wolfgang Hermann Spitzer, Lisa Bardach, Younes Strittmatter, Korbinian Moeller:
Usage and performance declines in a classroom-integrated digital learning software over the course of an academic year. 957-962 - Yiming Liu, Zhengyang Ma, Jeremy Tzi Dong Ng, Xiao Hu:
Multimodal learning analytics for game-based assessment of collaborative problem solving skills among young students. 963-969 - Ben Hicks, Kirsty Kitto:
Game Theoretic Models of Intangible Learning Data. 970-976 - Jinwon Kim, Qiujie Li, Zilu Jiang, Di Xu:
Not ALL Delay is Procrastination: Analyzing Subpatterns of Academic Delayers in Online Learning. 977-983 - Steven Yeung:
A comparative study of rule-based, machine learning and large language model approaches in automated writing evaluation (AWE). 984-991 - Hyunju Oh, Zifeng Liu, Wanli Xing:
Do Actions Speak Louder Than Words? Unveiling Linguistic Patterns in Online Learning Communities Using Cross Recurrence Quantification Analysis. 992-998
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