L@S

Publications

2024

Yuanzhe Jin, Jiali Yu
Optimizing Mentor-student Communication Using LLM-Based Automated Labeling Information States. L@S (2024)
Tricia J. Ngoon, Vikram Kamath Cannanure, Kaja Jasinska, Sharon Wolf, Amy Ogan
"I believe I did not preach into the desert": Opportunities & Challenges in Scaling Teacher Mentorship through Mobile Technology in Rural Côte d'Ivoire. L@S (2024)
Christopher Cui, Gururaj Deshpande, Celeste Mason, Thad Starner
Scaling Classrooms: A Forum for Practitioners Seeking, Developing and Adapting their Own Tools. L@S (2024)
Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. L@S (2024)
Diana M. Popescu, David A. Joyner
ChatGPT's Performance on Problem Sets in an At-Scale Introductory Computer Science Course. L@S (2024)
Wode Ni, Sam Estep, Hwei-Shin Harriman, Kenneth R. Koedinger, Joshua Sunshine
Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. L@S (2024)
Taimoor Arif, Sumit Asthana, Kevyn Collins-Thompson
Generation and Assessment of Multiple-Choice Questions from Video Transcripts using Large Language Models. L@S (2024)
Robert Lindgren, Sandeep Kakar, Pratyusha Maiti, Karan Taneja, Ashok K. Goel
Does Jill Watson Increase Teaching Presence? L@S (2024)
Griffin Pitts, Viktoria Marcus, Sanaz Motamedi
A Proposed Model of Learners' Acceptance and Trust of Pedagogical Conversational AI. L@S (2024)
Yinuo Yang, Steve Oney
VizCode: A Practical Real-time Tool for In-Class Computer Programming Tutoring. L@S (2024)
Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S (2024)
Erin Barno, Mariano Albaladejo-González, Justin Reich
Scaling Generated Feedback for Novice Teachers by Sustaining Teacher Educators' Expertise: A Design to Train LLMs with Teacher Educator Endorsement of Generated Feedback. L@S (2024)
Hagit Gabbay, Anat Cohen
Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming. L@S (2024)
Renzhe Yu, Hui Yang, Xiaoying Lin, Chengyuan Yao, Paul Burkander, Krystal Thomas, Jessica Mislevy
Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions. L@S (2024)
Yuchen Wang, Shangxin Guo, Lin Ling, Chee-Wei Tan
Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education. L@S (2024)
Binglin Chen, Colleen M. Lewis, Matthew West, Craig B. Zilles
Plagiarism in the Age of Generative AI: Cheating Method Change and Learning Loss in an Intro to CS Course. L@S (2024)
Ashley Ge Zhang, Xiaohang Tang, Steve Oney, Yan Chen
Demonstration of CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale. L@S (2024)
Harsh Kumar, Ruiwei Xiao, Benjamin Lawson, Ilya Musabirov, Jiakai Shi, Xinyuan Wang, Huayin Luo, Joseph Jay Williams, Anna N. Rafferty, John C. Stamper, Michael Liut
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. L@S (2024)
Mingyu Feng, Natalie Brezack, Megan Schneider, Kelly Collins, Wynnie Chan, Melissa Lee
Lessons Learned from a Research-to-Practice Scale-Up of an Adaptive Math Learning Platform. L@S (2024)
Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S (2024)
Mei Tan, Christopher Mah, Dorottya Demszky
Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing. L@S (2024)
Tommaso Calò, Christopher MacLellan
Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. L@S (2024)
Fiona M. Lee, Ryan S. Baker, Pradip Singh Tomar, Krishna Kumari, Qimu Liang, Zhanlan Wei
Videos for Parents and Child Performance. L@S (2024)
Baptiste Moreau-Pernet, Yu Tian, Sandra Sawaya, Peter Foltz, Jie Cao, Brent Milne, Thomas Christie
Classifying Tutor Discursive Moves at Scale in Mathematics Classrooms with Large Language Models. L@S (2024)
Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner
Collaborate and Listen: International Research Collaboration at Learning @ Scale. L@S (2024)
Mamta Shah, Ryan S. Baker, Peter Granville, Kimberly Sharp
Examining Student Engagement in Online Learning Platforms for Promoting Exam Readiness and Success in Undergraduate Nursing Education. L@S (2024)
Ashley Ge Zhang, Xiaohang Tang, Steve Oney, Yan Chen
CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale. L@S (2024)
Sze Ching Evelyn Fung, Man-Fai Wong, Chee-Wei Tan
Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models. L@S (2024)
Tahrina Ahmed, Engin Bumbacher, Paulo Blikstein, Ingmar H. Riedel-Kruse
Large-Scale and Versatile Deployment of Biology Cloud Labs in Schools through Teacher Driven Curricula Design. L@S (2024)
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. L@S (2024)
Xiuyu Chen, Shihui Feng
Analyzing Students' Information Behavior in Generative AI-Supported Small Group Discussions. L@S (2024)
Chen Sun, Louis Major, Rebecca Daltry, Nariman Moustafa, Aidan Friedberg
Teacher-AI Collaboration in Content Recommendation for Digital Personalised Learning among Pre-primary Learners in Kenya. L@S (2024)
Micah Watanabe, Megan Imundo, Katerina Christhilf, Tracy Arner, Danielle S. McNamara
Building Reading Comprehension and Knowledge with iSTART: An ITS to Provide Formative Feedback in Reading Instruction at Scale. L@S (2024)
Zhenting Yan, Rui Zhang
Enhancing Knowledge Tracing Efficacy with Expert-defined Graphs: A Case Study in Introductory Physics Classes. L@S (2024)
Allison Bradford, Weiying Li, Libby F. Gerard, Marcia C. Linn
Comparing Expert and ChatGPT-authored Guidance Prompts. L@S (2024)
Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger
Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. L@S (2024)
Miguel Morales Chan, Hector R. Amado-Salvatierra, Rocael Hernández Rizzardini
AI-Driven Content Creation: Revolutionizing Educational Materials. L@S (2024)
David H. Smith, Paul Denny, Max Fowler
Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing. L@S (2024)
Xinyi Lu, Xu Wang
Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation. L@S (2024)
Utkarsh Nattamai Subramanian Rajkumar, Sibley F. Lyndgaard, Ruth Kanfer
Intelligent Tutors for Adult Learning at Scale: A Narrative Review. L@S (2024)
Rizwaan Malik, Dorna Abdi, Rose Wang, Dorottya Demszky
Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics. L@S (2024)
Michelle Banawan, Elias John Kukas, John Richard Tano, Adonna Tan, Ramil Villegas
Transformative Approach to Fairness and Transparency in Classroom Participation Assessment. L@S (2024)
Momin N. Siddiqui, Adit Gupta, Jennifer M. Reddig, Christopher J. MacLellan
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks. L@S (2024)
Chaohua Ou, Ploy Thajchayapong, David A. Joyner
Open, Collaborative, and AI-Augmented Peer Assessment: Student Participation, Performance, and Perceptions. L@S (2024)
Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner
Who, What, and Where: Plotting Ten Years of Learning @ Scale Research. L@S (2024)
Emma Brunskill, Kole A. Norberg, Stephen Fancsali, Steven Ritter
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. L@S (2024)
Gururaj Deshpande, Shravan Cheekati, Shail Patel, Pranav Raj, Madhuri Singh, Mark Pindur, Nouf Al Soghyar, Bryan Zhao, Parisa Babolhavaeji, Mohammad Taher, Krish Nathan, Will Spaeth, Max Mahdi Roozbahani
Transforming CS Education with DevOps: Streamlined Assignment Validation and Delivery @ Scale. L@S (2024)
Steven Ritter, Stephen E. Fancsali, April Murphy, Neil T. Heffernan, Ben Motz, Debshila Basu Mallick, Jeremy Roschelle, Danielle S. McNamara, Joseph Jay Williams
Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S (2024)
Rachel Slama, Amalia Christina Toutziaridi, Justin Reich
Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education. L@S (2024)
Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson
CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming. L@S (2024)