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ORCID13th L@S 2026: Seoul, Korea
- Juho Kim
, Alice Oh, Zachary A. Pardos, Xavier Ochoa:
Proceedings of the Thirteenth ACM Conference on Learning @ Scale, L@S 2026, Seoul, Republic of Korea, 29 June 2026- 3 July 2026. ACM 2026, ISBN 979-8-4007-2293-6
Research Track Papers
- Michael W. Asher, Gillian Gold, Paulo F. Carvalho:
Benefit or Bottleneck? Assessing the Impact of Structured Reflection on Learning from AI-Driven Explanatory Feedback. 1-11 - Rae Bastoni, Tyree S. Cowell, April Murphy, Patrick McMahon, Kole Norberg:
The Impact of Reward System Visibility on Student Engagement and Learning Outcomes in a Digital Math Platform. 12-21 - Conrad Borchers, Olga Viberg, René F. Kizilcec:
Who Decides in AI-Mediated Learning? The Agency Allocation Framework. 22-33 - Conrad Borchers, Lijin Zhang, Kexin Yang, Tomohiro Nagashima, Benjamin W. Domingue:
Understanding Student Effort Using Response-Time Propensities During Problem Solving. 34-45 - Chia-Kai Chang, Kuei-Hao Li:
AI Teaching Assistants at Scale: Cross-Disciplinary Patterns of Adoption and Cognitive Engagement Across Hundreds of University Courses. 46-56 - Youjie Chen, Xixi Shi, Xinyu Liu, Shuaiguo Wang, Tracy Xiao Liu, Dragan Gasevic:
Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use. 57-68 - Rahul K. Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin, Ashok K. Goel:
Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach. 69-78 - Kiyoshige Garcés, Gloria Milena Fernández Nieto, Linxuan Zhao, Sachini Samaraweera, Dragan Gasevic, Roberto Martínez-Maldonado, Vanessa Echeverría:
Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact. 79-90 - Aham Gupta, Shivang Jain, Yaaska Pandit, Rimika Chaudhury, Parmit K. Chilana:
TEACHMate: Designing In-Context Instructor-Centered GenAI Support for Learning Management Systems. 91-102 - Ashish Gurung, Jordan Gutterman, Danielle R. Thomas, Mingyu Feng, Vincent Aleven, Kenneth R. Koedinger:
Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork. 103-113 - Michael Ion, Kevyn Collins-Thompson:
Measuring Simulation Fidelity via Statistical Detectability: A Diagnostic Framework for AI-Generated Tutoring Conversations. 114-124 - Marjorie T. Ivy, David A. Joyner:
Beyond Lurking: Attitudinal Communities and Engagement Trajectories in Online Courses. 125-135 - Hyoungwook Jin, Minju Yoo, Jieun Han, Zixin Chen, So-Yeon Ahn, Xu Wang:
RelianceScope: An Analytical Framework for Examining Students' Reliance on Generative AI Chatbots in Problem Solving. 136-147 - David A. Joyner, Alex Simon Duncan:
Multistage Modeling from Application Signals to Downstream Success: Predicting Admission, Matriculation, and Retention. 148-158 - Yunsung Kim, Hansol Lee, Candace Thille, Chris Piech:
A Large-Scale Observational Study on Obtaining Lightweight, Randomized Weekly Student Feedback: Associations with End-of-Term Course Evaluations. 159-167 - Jinwon Kim, Qiujie Li, Conrad Borchers, Zilu Jiang, Di Xu:
Student, Course Design, or Context? Studying the Determinants of Academic Procrastination at Scale. 168-178 - Jinsook Lee, Conrad Borchers, A. J. Alvero, Thorsten Joachims, René F. Kizilcec:
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays. 179-190 - Hansol Lee, Guilherme Lichand, Cristina Barnard, Lucas Klotz, Candace Thille, Yunsung Kim, Benjamin W. Domingue:
Revisiting the Regularity of Student Learning Rate: Sensitivity to Which Observations Are Included. 191-201 - DeBoris Leonard, Ricky Gole, Jamell Dacon:
Prescriptive Persistence: Quantifying the Breakdown in Human-AI Pedagogical Co-Regulation in ELL Writing Feedback. 202-208 - Armanda Lewis, Xavier Ochoa:
Measuring Creativity at Scale via Multimodal Large Language Models. 209-217 - Zhengxu Li, Junling Wang, April Yi Wang:
When Should Teachers Control AI Generation for Mathematics Visuals? 218-229 - Wen-Chiang Ivan Lim, Eamon Worden, Adam Sales, Neil T. Heffernan:
LLM-Generated Summaries for Teachers: A Randomized Field Experiment in a Digital Learning Platform. 230-241 - Chang Liu, Loc Hoang, René F. Kizilcec, Bo Wu:
A Large-Scale Analysis of Student Behavior with Pedagogically Constrained LLM Tutors. 242-253 - Jennifer Meyer, Melanie V. Keller, Martin Daumiller:
When Do Learners Prefer AI or Human Feedback? Situation-Specific Psychological Predictors of Feedback Source Preference. 254-263 - Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf Köller, René F. Kizilcec, Thorben Jansen:
Comparing Teacher and AI-Generated Feedback in the Writing Classroom: Experimental Results from Secondary School Classrooms. 264-276 - Joshua Mitton, Prarthana Bhattacharyya, Digory Smith, Thomas Christie, Ralph Abboud, Simon Woodhead:
Misconception Diagnosis From Student-Tutor Dialogue: Generate, Retrieve, Rerank. 277-286 - Phenyo Phemelo Moletsane, Christine Kwon, John C. Stamper, Amy Ogan, Paulo F. Carvalho:
Can Multilingual Environments Promote Scalable EdTech? Evidence from a Randomized Controlled Trial. 287-296 - Robert Moulder, Sandra Sawaya, Sidney K. D'Mello:
Testing an AI-Enhanced Coached-Tutor Professional Learning Model for Scaling High-Dosage Tutoring. 297-307 - Jiaqi Linna Niu, Ashish Gurung:
Students Who Choose to Challenge Themselves Perform Better. 308-317 - Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu, René F. Kizilcec:
Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability. 318-329 - Kirk Vanacore, René F. Kizilcec:
How Well Do Large Language Models Recognize Instructional Moves? Establishing Baselines for Foundation Models in Educational Discourse. 330-338 - Kirk Vanacore, Jinsook Lee, Bakhtawar Ahtisham, Sarah Shaw, Justin Reich, René F. Kizilcec:
From Tutor Moves to Tutoring States: Modeling the Timing and Sequencing of Pedagogical Strategies for Student Engagement. 339-349 - Chenyang Wang, Christopher Petrie, Miltiadis Stouras, Nicolas Ettlin, Amaury George, Paola Mejia-Domenzain, Vinitra Swamy, Tanja Käser, Ola Svensson:
Turning 500+ Students into Teachers: A Semester-Long Study of an AI Teachable Agent in an Undergraduate Algorithms Course. 350-360 - Eamon Worden, Luca Dang, Wen-Chiang Ivan Lim, Sarah Miller, Jiayi Zhang, Aaron Haim, Adam Sales, Ashish Gurung, Neil T. Heffernan:
A Large Scale Randomized Control Trial Showing LLM Generated Feedback Helps Low-Knowledge Middle School Math Students with Short-Term Learning. 361-372 - Yujing Zhang, Xianghui Meng, Jionghao Lin:
Augmenting Knowledge Tracing With Self-Regulated Learning Indicators for Reliable Skill-Mastery Estimation. 373-384
Works-in-Progress
- Mariano Albaladejo-González, Pablo Pérez-Melgarejo, Manuel J. Gomez, Justin Reich, José A. Ruipérez-Valiente:
An Advanced Analytics Dashboard with a Conversational Agent to Support the Analysis of Teacher Training Simulations. 385-389 - Conrad Borchers, Robin Schmucker, Ashutosh Tiwari, Zachary A. Pardos:
Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility. 390-394 - Chia-Kai Chang, Kuei-Hao Li:
PALM: Scaling Physiologically-Aware AI Tutoring Through Consumer Wearables and Large Language Models. 395-399 - Saurabh Chatterjee, Thad Starner, Rocko Graziano:
Landscape of Cheating in Higher Education. 400-404 - Eason Chen, William Chen, Xinyi Tang, Yumo Wang, Mingyu Yuan, Sophia Judicke, Kayla Beigh:
PrompTutor: A Browser Extension for Data Collection and Real-Time Intervention in Student-Chatbot Interactions. 405-409 - Aranis Das:
An Offline, Computer-Less Infrastructure for Scalable Physics Laboratory Learning. 410-412 - Farshid Farzan, Rosta Farzan:
When Is Personalization Plausible? Exploring the Quality of LLM-Generated Datasets for Data-Science Learning. 413-417 - Manuel J. Gomez, Mariano Albaladejo-González, José A. Ruipérez-Valiente:
Survival Rules: Teaching Rule-Based AI Through a Block-based Serious Game. 418-422 - Ching Nam Hang, Chee-Wei Tan, Dah Ming Chiu:
LLM Teams: Harnessing Large Language Models as Multi-Agent Teammates for Joint Problem-Solving. 423-427 - Samiha Haque, Danula Hettiachchi, Daniel Beck:
Rubric-guided Prompting for Automatic Assessment Scoring. 428-432 - Yuqing He, Ziting Wang, Chee-Wei Tan:
Design Before Code: Graph-Centrality-Guided Scaffolding for Programming Education at Scale. 433-437 - Han Jiang, Jingjing Zhang:
Understanding Learners' Online Interactions Across MOOC Reruns: Insights from Longitudinal Analytics. 438-442 - Ovide Kuichua, Michel C. Desmarais, Arman Bakhtiari, Chahé Nerguizian, Alexandre Gélinas:
Uncertainty-Guided Sampling for LLM Calibration in Automated Short Answer Grading. 443-447 - Hai Li, Wanli Xing, Chenglu Li, Ran Gao:
Generate-Filter-Edit: A Human-AI Collaborative Pipeline for Developing and Automatically Evaluating Middle School Mathematics Questions. 448-452 - Shuyuan Liu, Prithiv Premkumar, David Nahodyl, Yuhui Zhao, Thad Starner:
ECHO: Educational Chatter Help and Overview - Just-In-Time Assistance and Retrospective Viewing for Teaching Assistants on Online Education Forums (WiP). 453-457 - Yikai Lu:
HawkesIRT: Interpretable and Efficient Knowledge Tracing via Temporal Item Effects and Item Response Theory. 458-462 - Ryan Lueder, Yuhui Zhao, Mitchell Gray, Shuyuan Liu, Saurabh Chatterjee, Qiao Zhang, David Nahodyl, Thad Starner:
Nosi IDE: Securing Coding Assessment Integrity in the Age of LLMs via Process-Driven Analytics. 463-467 - Nicholas Lytle, Bobbie Lynn Eicher, Breanna Shi, Alex Simon Duncan, Maria Konte, Chris Wirgler, Dante Ciolfi, Charles R. Clark, David A. Joyner:
Online Computing Research Experiences at Scale. 468-472 - Daniel March, Zhen Xu, Chengyuan Yao, Renzhe Yu:
Calibrating Social Bias in LLM and Human Responses in Postsecondary Online Discussion Forums. 473-476 - Xianghui Meng, Yujing Zhang, Jionghao Lin:
Fairness Audits for Learning at Scale: A Two-Stage Audit of Threshold Fairness and Capacity-Limited Support Allocation. 477-481 - Diana Nurbakova, Liana Ermakova:
IILAP+: Exploring AI-Assisted Dataset Creation for Critical Thinking Assessment. 482-486 - Kimaya Padmashali, Wiktor Pedrycz, Oleksandra Poquet:
Synthetic Personas for Scaling Privacy Research in Education. 487-490 - Stuti Pande, Yige Song, Kamila Misiejuk, Sonsoles López-Pernas, Mohammed Saqr, Eduardo A. Oliveira:
Profiling Writing Skills at Scale: A Hybrid Stylometry-LLM Pipeline for Formative Feedback. 491-495 - Saerok Park, Ha Nguyen:
From Analysis to Feedback: Using Large Language Models to Support Self-Regulated Learning. 496-500 - Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram:
Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components. 501-505 - Zak Risha, Jeremy Roschelle:
Data at Scale: Using Bibliometrics to Understand a Growing Research Subfield. 506-510 - Ana Mary Rusch, David A. Joyner:
Motivations of Female Applicants to an Online and At-Scale Graduate Computer Science Program. 511-515 - Sarah Shaw, Aly Murray, Kirk Vanacore:
Sentiment Gaps Between AI and Human Tutors: A Work-in-Progress Investigation. 516-519 - Maximilian Sölch, Alexandra Neagu, Marcus Messer, Peter B. Johnson, Gerd Kortemeyer, Samuel S. H. Ng, Fun Siong Lim, Stephan Krusche:
μEd API: Towards a Shared API for Education Microservices. 520-524 - Md Sakib Ul Rahman Sourove, Shimei Pan, Lujie Karen Chen:
An LLM-Based Agentic AI System for Automated Construction of Knowledge Taxonomies in Data Science Problem Solving. 525-529 - Daniel Spikol, Zaibei Li, Shunpei Yamaguchi:
Constructing Ground Truth for Collaborative Action Recognition: Lessons from Human-VLM Disagreement. 530-534 - Frank Stinar, Ruohan Zong, Dong Wang, Nigel Bosch:
EdataWeave: Collecting Learning Behaviors across Multiple Platforms. 535-539 - Sam Urmian, Pengfei Li, Mohammad Khalil:
Federated Learning for a Scalable, Quality, and Trust Enabling Technologies in Education without Data Sharing. 540-544 - Olga Viberg, Jacqueline Wong, Selma Ozdere, Richard Lee Davis:
Scalable SRL Conversational Scaffolding for Student-LLM Interaction. 545-549 - Yuchen Wang, Jia Earn Lim, Pei-Duo Yu, Chee-Wei Tan:
My Code Weapon: Adaptive Problem Recommendation and Knowledge Retention Scheduling in AI-assisted Programming Education. 550-554 - Yi Hsuan Wang:
Developing Simulation-based Learning Materials to Support Practical Broadcasting Skills in Higher Education. 555-557 - Chris Wirgler, Alex S. Duncan, Nick Lytle, David A. Joyner:
Supporting Research Engagement and Teaching Assistant Hiring at Scale in a Large Online CS Program: An Experience Report. 558-562 - Zhen Xu, Yijun Dai, Chenxi Shi, Siyan Li, Chengyuan Yao, Renzhe Yu:
Asynchronous Discussion Forums Show More Analytical but Less Diverse Student Engagement in the Age of AI. 563-566 - Yuhui Zhao, Ryan Lueder, Qiao Zhang, Thad Starner:
Detecting and Visualizing LLM Usage in Students' Essays Leveraging Past Assignments and LLM Answers. 567-571
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