{"id":119,"date":"2026-05-26T16:44:28","date_gmt":"2026-05-26T16:44:28","guid":{"rendered":"https:\/\/learningatscale.hosting.acm.org\/las2026\/?page_id=119"},"modified":"2026-05-26T16:44:49","modified_gmt":"2026-05-26T16:44:49","slug":"119-2","status":"publish","type":"page","link":"https:\/\/learningatscale.hosting.acm.org\/las2026\/119-2\/","title":{"rendered":"Accepted Paper"},"content":{"rendered":"
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Full Research Papers<\/strong><\/h1>\n

(in the order of the randomized paper ID)<\/p>\n

A Large Scale Randomized Control Trial Showing LLM Generated Feedback Helps Low-Knowledge Middle School Math Students with Short-Term Learning<\/strong>
Eamon Worden, Luca Dang, Wen Chiang Lim, Sarah Miller, Jiayi Zhang, Aaron Haim, Adam Sales, Ashish Gurung and Neil Heffernan<\/em><\/p>\n

A Large-Scale Analysis of Student Behavior with Pedagogically Constrained LLM Tutors<\/strong>
Chang Liu, Loc Hoang, Rene F. Kizilcec and Bo Wu<\/em><\/p>\n

AI Teaching Assistants at Scale: Cross-Disciplinary Patterns of Adoption and Cognitive Engagement Across Hundreds of University Courses<\/strong>
Chia-Kai Chang and Kuei-Hao Li<\/em><\/p>\n

Augmenting Knowledge Tracing With Self-Regulated Learning Indicators for Reliable Skill-Mastery Estimation<\/strong>
Yujing Zhang, Xianghui Meng and Jionghao Lin<\/em><\/p>\n

Benefit or Bottleneck? Assessing the Impact of Structured Reflection on Learning from AI-Driven Explanatory Feedback<\/strong>
Michael Asher, Gillian Gold and Paulo Carvalho<\/em><\/p>\n

Beyond Lurking: Attitudinal Communities and Engagement Trajectories in Online Courses<\/strong>
Marjorie Ivy and David Joyner<\/em><\/p>\n

Can Multilingual Environments Promote Scalable EdTech? Evidence from a Randomized Controlled Trial<\/strong>
Phenyo Phemelo Moletsane, Christine Kwon, John Stamper, Amy Ogan and Paulo Carvalho<\/em><\/p>\n

Coasting Through Class: Learning Opportunity Loss from Time Leakage During Individual Seatwork<\/strong>
Ashish Gurung, Jordan Gutterman, Danielle R Thomas, Mingyu Feng, Vincent Aleven and Kenneth Koedinger<\/em><\/p>\n

Comparing Teacher and AI-Generated Feedback in the Writing Classroom: Experimental Results from Secondary School Classrooms<\/strong>
Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf K\u00f6ller, Rene Kizilcec and Thorben Jansen<\/em><\/p>\n

Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach<\/strong>
Rahul Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin and Ashok Goel<\/em><\/p>\n

From Tutor Moves to Tutoring States: Modeling the Timing and Sequencing of Pedagogical Strategies for Student Engagement<\/strong>
Kirk Vanacore, Jinsook Lee, Bakhtawar Ahtisham, Sarah Shaw, Justin Reich and Rene Kizilcec<\/em><\/p>\n

How Well Do Large Language Models Recognize Instructional Moves? Establishing Baselines for Foundation Models in Educational Discourse<\/strong>
Kirk Vanacore and Rene Kizilcec<\/em><\/p>\n

LLM-Generated Summaries for Teachers: A Randomized Field Experiment in a Digital Learning Platform<\/strong>
Wen Chiang Lim, Eamon Worden, Adam Sales and Neil Heffernan<\/em><\/p>\n

Measuring Creativity at Scale via Multimodal Large Language Models<\/strong>
Armanda Lewis and Xavier Ochoa<\/em><\/p>\n

Measuring Simulation Fidelity via Statistical Detectability: A Diagnostic Framework for AI-Generated Tutoring Conversations<\/strong>
Michael Ion and Kevyn Collins-Thompson<\/em><\/p>\n

Misconception Diagnosis From Student-Tutor Dialogue: Generate, Retrieve, Rerank<\/strong>
Joshua Mitton, Prarthana Bhattacharyya, Digory Smith, S. Thomas Christie, Ralph Abboud and Simon Woodhead<\/em><\/p>\n

Multistage Modeling from Application Signals to Downstream Success: Predicting Admission, Matriculation, and Retention<\/strong>
David Joyner and Alex Duncan<\/em><\/p>\n

Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use<\/strong>
Youjie Chen, Xixi Shi, Xinyu Liu, Shuaiguo Wang, Tracy Xiao Liu and Dragan Ga\u0161evi\u0107<\/em><\/p>\n

Prescriptive Persistence: Quantifying the Breakdown in Human-AI Pedagogical Co-Regulation in ELL Writing Feedback<\/strong>
Deboris Leonard, Ricky Gole and Jamell Dacon<\/em><\/p>\n

RelianceScope: An Analytical Framework for Examining Students’ Reliance on Generative AI Chatbots in Problem Solving<\/strong>
Hyoungwook Jin, Minju Yoo, Jieun Han, Zixin Chen, So-Yeon Ahn and Xu Wang<\/em><\/p>\n

Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact<\/strong>
Kiyoshige Garces, Vanessa Echeverria, Gloria Milena Fernandez-Nieto, Linxuan Zhao, Sachini Samaraweera, Dragan Gasevic and Roberto Martinez-Maldonado<\/em><\/p>\n

Student, Course Design, or Context? Studying the Determinants of Academic Procrastination at Scale<\/strong>
Jinwon Kim, Qiujie Li, Conrad Borchers, Zilu Jiang and Di Xu<\/em><\/p>\n

Students Who Choose to Challenge Themselves Perform Better<\/strong>
Jiaqi Linna Niu and Ashish Gurung<\/em><\/p>\n

Teachers\u2019 Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability<\/strong>
Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu and Ren\u00e9 Kizilcec<\/em><\/p>\n

TEACHMate: Designing In-Context Instructor-Centered GenAI Support for Learning Management Systems<\/strong>
Aham Gupta, Shivang Jain, Yaaska Pandit, Rimika Chaudhury and Parmit K. Chilana<\/em><\/p>\n

Testing an AI-Enhanced Coached-Tutor Professional Learning Model for Scaling High-Dosage Tutoring<\/strong>
Robert Moulder, Sandra Sawaya and Sidney D’Mello<\/em><\/p>\n

The “Astonishing Regularity” Revisited: Unbalanced Practice Depth and Its Implications for Learning-Rate Estimates<\/strong>
Hansol Lee, Guilherme Lichand, Cristina Barnard, Lucas Klotz, Candace Thille, Yunsung Kim and Benjamin W. Domingue<\/em><\/p>\n

The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays<\/strong>
Jinsook Lee, Conrad Borchers, Aj Alvero, Thorsten Joachims and Rene F. Kizilcec<\/em><\/p>\n

The Impact of Reward System Visibility on Student Engagement and Learning Outcomes in a Digital Math Platform<\/strong>
Rae Bastoni, Tyree Cowell, April Murphy, Patrick McMahon and Kole Norberg<\/span><\/p>\n

The Impact of Using a Lightweight, Randomized Weekly Course Feedback System on End-of-Term Student Course Evaluations<\/strong>
Yunsung Kim, Hansol Lee, Candace Thille and Chris Piech<\/em><\/p>\n

Turning 500+ Students into Teachers: A Semester-Long Study of an AI Teachable Agent in an Undergraduate Algorithms Course<\/strong>
Chenyang Wang, Christopher Petrie, Miltiadis Stouras, Nicolas Ettlin, Amaury George, Paola Mejia-Domenzain, Vinitra Swamy, Tanja K\u00e4ser and Ola Svensson<\/em><\/p>\n

Understanding Student Effort Using Reaction Time Propensities During Problem Solving at Scale<\/strong>
Conrad Borchers, Lijin Zhang, Kexin Yang, Tomohiro Nagashima and Benjamin W. Domingue<\/em><\/p>\n

When Do Learners Prefer AI or Human Feedback? Situational Predictors of Feedback Source Preference<\/strong>
Jennifer Meyer, Melanie V. Keller and Martin Daumiller<\/em><\/p>\n

When Should Teachers Control AI Generation for Mathematics Visuals?<\/strong>
Zhengxu Li, Junling Wang and April Yi Wang<\/em><\/p>\n

Who Decides in AI-Mediated Learning? The Agency Allocation Framework (AAF)<\/strong>
Conrad Borchers, Olga Viberg and Rene F. Kizilcec<\/em><\/p>\n

\n

<\/h3>\n

Work in Progress<\/strong><\/h1>\n

(in the order of the randomized paper ID)<\/span><\/p>\n

An advanced analytics dashboard with a conversational agent to support the analysis of teacher training simulations<\/strong>
Mariano Albaladejo-Gonz\u00e1lez, Pablo P\u00e9rez-Melgarejo, Manuel J. Gomez, Justin Reich and Jos\u00e9 A. Ruip\u00e9rez-Valiente<\/em><\/p>\n

An Offline, Computer-Less Infrastructure for Scalable Physics Laboratory Learning<\/strong>
Aranis Das and Shubhendu Das<\/em><\/p>\n

Are Online Discussion Forums Falling Behind in the Age of AI? Preliminary Evidence from Students\u2019 Cognitive and Social Engagement Shifts in 370,000+ Posts<\/strong>
Zhen Xu, Yijun Dai, Chenxi Shi, Siyan Li, Chengyuan Yao and Renzhe Yu<\/em><\/p>\n

Data at Scale: Using Bibliometrics to Understand a Growing Research Subfield<\/strong>
Zak Risha and Jeremy Roschelle<\/em><\/p>\n

Design Before Code: Graph-Centrality\u2013Guided Scaffolding for Programming Education at Scale<\/strong>
Yuqing He, Ziting Wang and Chee Wei Tan<\/em><\/p>\n

Detecting and Visualizing LLM Usage in Students\u2019 Essays Leveraging Past Assignments and LLM Answers<\/strong>
Yuhui Zhao, Ryan Lueder, Qiao Zhang and Thad Starner<\/em><\/p>\n

Developing Simulation-based Learning Materials to Support Practical Broadcasting Skills in Higher Education<\/strong>
Yi Hsuan Wang<\/em><\/p>\n

ECHO: Educational Chatter Help and Overview – Just-In-Time Assistance and Retrospective Viewing for Teaching Assistants on Online Education Forums (WiP)<\/strong>
Shuyuan Liu, Prithiv Premkumar, David Nahodyl, Yuhui Zhao and Thad Starner<\/em><\/p>\n

EdataWeave: Collecting learning behaviors across multiple platforms<\/strong>
Frank Stinar, Ruohan Zong, Dong Wang and Nigel Bosch<\/em><\/p>\n

Fairness Audits for Learning at Scale: A Two-Stage Audit of Threshold Fairness and Capacity-Limited Support Allocation<\/strong>
Xianghui Meng, Yujing Zhang and Jionghao Lin<\/em><\/p>\n

Federated Learning for a scalable, quality, and trust enabling technologies in education without data sharing<\/strong>
Sam Urmian, Pengfei Li and Mohammad Khalil<\/em><\/p>\n

From Analysis to Feedback: Using Large Language Models to Support Self-Regulated Learning<\/strong>
Saerok Park and Ha Nguyen<\/em><\/p>\n

Generate-Filter-Edit: A Human-AI Collaborative Pipeline for Developing and Automatically Evaluating Middle School Mathematics Questions<\/strong>
Hai Li, Wanli Xing, Chenglu Li and Ran Gao<\/em><\/p>\n

Generating Knowledge Components of Data Science Problem Solving with LLM-based Peer Review System<\/strong>
Md Sakib Ul Rahman Sourove, Shimei Pan and Lujie Chen<\/em><\/p>\n

HawkesIRT: Interpretable Knowledge Tracing via Temporal-Item Effects and Item Response Theory<\/strong>
Yikai Lu<\/em><\/p>\n

IILAP+: Exploring AI-Assisted Dataset Creation for Critical Thinking Assessment<\/strong>
Diana Nurbakova and Liana Ermakova<\/em><\/p>\n

Landscape of Cheating in Higher Education<\/strong>
Saurabh Chatterjee and Thad Starner<\/em><\/p>\n

LLM Teams: Harnessing Large Language Models as Multi-Agent Teammates for Joint Problem-Solving<\/strong>
Ching Nam Hang, Chee Wei Tan and Dah Ming Chiu<\/em><\/p>\n

Motivations of Female Applicants to an Online and At-Scale Graduate Computer Science Program: A Qualitative Analysis<\/strong>
Ana Rusch and David Joyner<\/em><\/p>\n

My Code Weapon: Adaptive Problem Recommendation and Knowledge Retention Scheduling in AI-assisted Programming Education<\/strong>
Yuchen Wang, Jia Earn Lim, Pei-Duo Yu and Chee Wei Tan<\/em><\/p>\n

Nosi IDE: Securing Coding Assessment Integrity in the Age of LLMs via Process-Driven Analytics<\/strong>
Ryan Lueder, Yuhui Zhao, Thad Starner, Mitchell Gray, Shuyuan Liu, Saurabh Chatterjee, Qiao Zhang and David Nahodyl<\/em><\/p>\n

Online Computing Research Experiences at Scale<\/strong>
Nicholas Lytle, Bobbie Eicher, Breanna Shi, Alex Duncan, Maria Konte, Chris Wirgler, Dante Ciolfi, Charles R. Clark and David Joyner<\/em><\/p>\n

PALM: Scaling Physiologically-Aware AI Tutoring Through Consumer Wearables and Large Language Models<\/strong>
Chia-Kai Chang and Kuei-Hao Li<\/em><\/p>\n

Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components<\/strong>
Griffin Pitts, Muntasir Hoq and Bita Akram<\/em><\/p>\n

Profiling Writing Skills at Scale: A Hybrid Stylometry-LLM Pipeline for Formative Feedback<\/strong>
Stuti Pande, Yige Song, Kamila Misiejuk, Sonsoles L\u00f3pez-Pernas, Mohammed Saqr and Eduardo Oliveira<\/em><\/p>\n

PrompTutor: A Browser Extension for Data Collection and Real-Time Intervention in Student-Chatbot Interactions<\/strong>
Eason Chen, William Chen, Xinyi Tang, Isabel Wang, Nina Yuan, Sophia Judicke and Kayla Beigh<\/em><\/p>\n

Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility<\/strong>
Conrad Borchers, Robin Schmucker, Ashutosh Tiwari and Zachary A. Pardos<\/em><\/p>\n

Rubric-guided Prompting for Automatic Assessment Scoring<\/strong>
Samiha Haque, Daniel Beck and Danula Hettiachchi<\/em><\/p>\n

Scalable SRL Conversational Scaffolding for Student\u2013LLM Interaction<\/strong>
Olga Viberg, Jacqueline Wong, Richard Lee Davis and Selma Ozdere<\/em><\/p>\n

Scaling for Transparency: Gaze-Augmented Collaborative Action Recognition with Vision-Language Models<\/strong>
Zaibei Li, Shunpei Yamaguchi and Daniel Spikol<\/em><\/p>\n

Sentiment Gaps Between AI and Human Tutors: A Work-in-Progress Investigation<\/strong>
Sarah Shaw, Aly Murray, Kirk Vanacore and Katy Laird<\/em><\/p>\n

Supporting Research Engagement and Teaching Assistant Hiring at Scale in a Large Online CS Program<\/strong>
Chris Wirgler, Alex Duncan, Nick Lytle and David Joyner<\/em><\/p>\n

Survival Rules: Teaching Rule-Based AI Through a Block-based Serious Game<\/strong>
Manuel J. Gomez, Mariano Albaladejo-Gonz\u00e1lez and Jos\u00e9 A. Ruip\u00e9rez-Valiente<\/em><\/p>\n

Synthetic Personas for Scaling Privacy Research in Education<\/strong>
Kimaya Padmashali, Wiktor Pedrycz and Oleksandra Poquet<\/em><\/p>\n

Uncertainty-Guided Sampling for LLM Calibration in Automated Short Answer Grading<\/strong>
Ovide Kuichua, Michel Desmarais, Arman Bakhtiari, Chahe Nerguizian and Alexandre Gelinas<\/em><\/p>\n

Understanding Learners\u2019 Online Learning Interactions Across MOOC Reruns: Insights from Longitudinal Analytics<\/strong>
Han Jiang and Jingjing Zhang<\/em><\/p>\n

When Is Personalization Plausible? Exploring the Quality of LLM-Generated Datasets for Data-Science Learning<\/strong>
Farshid Farzan and Rosta Farzan<\/em><\/p>\n

Who’s More Biased? Calibrating LLM Generation Against Human Responses in Postsecondary Online Discussion Forums<\/strong>
Daniel March, Zhen Xu, Chengyuan Yao and Renzhe Yu<\/em><\/p>\n

\u03bcEd API: Towards A Shared API for EdTech Microservices<\/strong>
Maximillan S\u00f6lch, Alexandra Neagu, Marcus Messer, Peter Johnson, Gerd Kortemeyer, Samuel S. H. Ng, Fun Siong Lim and Stephan Krusche<\/em><\/p>\n

\n

<\/strong><\/h1>\n

Demonstrations<\/strong><\/h1>\n

(in the order of the randomized paper ID)<\/span><\/p>\n

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ABC Platform: AI-Enhanced Coaching Tools to Scale High-Dosage Tutoring<\/strong>
Sandra Sawaya, Chelsea Brown, Chelsea Chandler, Scott Dooley, Peter Foltz, Jennifer Jacobs, Ashieda McKoy, Shraddha Shinde, Aniket Singh, Devren Hobbs, Tom Fischaber and Sidney Dmello<\/em><\/p>\n

AI in the Loop: A Multimodal Assistant for Real-Time Lecture Comprehension<\/strong>
Amanda Lacy, Maria Teleki, Esau Hutcherson, Jobin Varughese, Jun Kwon, Frank Shipman and Tracy Hammond<\/em><\/p>\n

ASL Master: A Webcam-Based, Scaffolded Learning Tool for American Sign Language Fingerspelling Beginners<\/strong>
Gaode Gao and Erika Xiang<\/em><\/p>\n

CRAYON: Community-based Relayed Online Education Approach for Rural Children in South Korean EFL Context (Demo)<\/strong>
Seonghoon Kim, Hyungjong Lee, Seongwoong Kang, Wonjung Kim, Seungchul Lee, Youngjae Chang, Sookyung Han, Insun Baek, Souneil Park, So-yeon Ahn and Junehwa Song<\/em><\/p>\n

Demo of PrompTutor: A Browser Extension for Data Collection and Real-Time Intervention in Student-Chatbot Interactions<\/strong>
Eason Chen, William Chen, Sophia Judicke, Isabel Wang, Nina Yuan, Kayla Beigh and Xinyi Tang<\/em><\/p>\n

Demo of ScreenLive: Real-Time Multi-Student Monitoring and Targeted Teacher Intervention for Classroom Orchestration at Scale<\/strong>
Eason Chen, Cheney Lin, William Chen, Raeshana Sookhoo, Aprille Xi, Xinyi Tang, Sophia Judicke, Jovie Li, Jionghao Lin and Ken Koedinger<\/em><\/p>\n

Demonstrating Nosi IDE: Securing Coding Assessment Integrity in the Age of LLMs via Process-Driven Analytics<\/strong>
Ryan Lueder, Yuhui Zhao, David Nahodyl, Mitchell Gray, Shuyuan Liu, Qiao Zhang, Saurabh Chatterjee and Thad Starner<\/em><\/p>\n

DualCrit: Orchestrating Peer Comparison and AI Rubric Validation for Problem Framing in HCI Education<\/strong>
Renz Samuel Gutierrez, Uichin Lee, Hyunsoo Lee and Joseph Seering<\/em><\/p>\n

Edge Phoneme Recognition for Children\u2019s Speech through Age-Aware Training<\/strong>
Joel Walsh, Matthew Arboleda, Ryan Arboleda, Sophie Haak, Sam Hjelmeset, Jose Bustamante Ortiz, Andy Franck and Bingrui Yang<\/em><\/p>\n

ImpressChat: Supporting Interactive Art Learning Through Chat-Based Instruction<\/strong>
Corina Luca Focsan, Phoebe Zhang and Monica Xu<\/em><\/p>\n

No-Code, Scalable Chatbot Offering in Higher Education: An Educator-Centric Platform for Course-Chatbot Creation<\/strong>
Imran Hossain, Hasan Abu-Rasheed, Louis Dunkel and Patrick Sacher<\/em><\/p>\n

NumberNest AI: An Intelligent Parenting Companion for Personalized Family Math Learning at Scale<\/strong>
Xi Jia Zhou, Yunsung Kim, Nick Haber and Candace Thille<\/em><\/p>\n

OATutor 2.0: An Open-Source Adaptive Tutor with Chatbot Integration<\/strong>
Yerin Kwak, Allison Wang, Ioannis Anastasopoulos, and Zachary A. Pardos<\/em><\/p>\n

PromptDecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions<\/strong>
Miina Koyama, Ruiwei Xiao and John Stamper<\/em><\/p>\n

Speaking with the Ancients: A Source-Grounded Voice AI Tutor for Classical Antiquity<\/strong>
Ikko Tanaka, Jun Ogawa and Naoya Iwata<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-119","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/pages\/119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/comments?post=119"}],"version-history":[{"count":3,"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/pages\/119\/revisions"}],"predecessor-version":[{"id":122,"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/pages\/119\/revisions\/122"}],"wp:attachment":[{"href":"https:\/\/learningatscale.hosting.acm.org\/las2026\/wp-json\/wp\/v2\/media?parent=119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}