| 2024 | "I believe I did not preach into the desert": Opportunities & Challenges in Scaling Teacher Mentorship through Mobile Technology in Rural Côte d'Ivoire. Tricia J. Ngoon, Vikram Kamath Cannanure, Kaja Jasinska, Sharon Wolf, Amy Ogan |
| 2024 | A Proposed Model of Learners' Acceptance and Trust of Pedagogical Conversational AI. Griffin Pitts, Viktoria Marcus, Sanaz Motamedi |
| 2024 | AI-Driven Content Creation: Revolutionizing Educational Materials. Miguel Morales Chan, Hector R. Amado-Salvatierra, Rocael Hernández Rizzardini |
| 2024 | Analyzing Students' Information Behavior in Generative AI-Supported Small Group Discussions. Xiuyu Chen, Shihui Feng |
| 2024 | Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of Cheating. Christopher Cui, Jui-Tse Hung, Pranav Sharma, Saurabh Chatterjee, Thad Starner |
| 2024 | Are Students Reading? How Formative Practice Impacts Student Reading Behaviors in Etextbooks. Nick Brown, Rachel Van Campenhout, Michelle W. Clark, Benny G. Johnson |
| 2024 | AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan |
| 2024 | Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper |
| 2024 | Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence. Hai Li, Rui Guo, Chenglu Li, Wanli Xing |
| 2024 | Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models. Sze Ching Evelyn Fung, Man-Fai Wong, Chee-Wei Tan |
| 2024 | Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger |
| 2024 | Bringing AI Tutoring into the Physical World and Scaling to Schools and Museums. Nesra Yannier |
| 2024 | Building Reading Comprehension and Knowledge with iSTART: An ITS to Provide Formative Feedback in Reading Instruction at Scale. Micah Watanabe, Megan Imundo, Katerina Christhilf, Tracy Arner, Danielle S. McNamara |
| 2024 | CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale. Ashley Ge Zhang, Xiaohang Tang, Steve Oney, Yan Chen |
| 2024 | Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education. Owen Henkel, Libby Hills, Adam Boxer, Bill Roberts, Zachary Levonian |
| 2024 | ChatGPT's Performance on Problem Sets in an At-Scale Introductory Computer Science Course. Diana M. Popescu, David A. Joyner |
| 2024 | Classifying Tutor Discursive Moves at Scale in Mathematics Classrooms with Large Language Models. Baptiste Moreau-Pernet, Yu Tian, Sandra Sawaya, Peter W. Foltz, Jie Cao, Brent Milne, Thomas Christie |
| 2024 | CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming. Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson |
| 2024 | Collaborate and Listen: International Research Collaboration at Learning @ Scale. Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner |
| 2024 | Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming. Hagit Gabbay, Anat Cohen |
| 2024 | Comparing Expert and ChatGPT-authored Guidance Prompts. Allison Bradford, Weiying Li, Libby F. Gerard, Marcia C. Linn |
| 2024 | Comparing Feedback from Large Language Models and Instructors: Teaching Computer Science at Scale. Ha Nguyen, Nate Stott, Vicki Allan |
| 2024 | Context-Embedded Knowledge Tracing and Latent Concept Detection in a Reading Game. Katerina Christhilf, Jiachen Gong, Danielle S. McNamara |
| 2024 | Demonstration of CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale. Ashley Ge Zhang, Xiaohang Tang, Steve Oney, Yan Chen |
| 2024 | Designing a Model for Massive Digital Lifelong Learning. Chris Dede |
| 2024 | DevCoach: Supporting Students in Learning the Software Development Life Cycle at Scale with Generative Agents. Tianjia Wang, Ramaraja Ramanujan, Yi Lu, Chenyu Mao, Yan Chen, Chris Brown |
| 2024 | Does Jill Watson Increase Teaching Presence? Robert Lindgren, Sandeep Kakar, Pratyusha Maiti, Karan Taneja, Ashok K. Goel |
| 2024 | Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. Wode Ni, Sam Estep, Hwei-Shin Harriman, Kenneth R. Koedinger, Joshua Sunshine |
| 2024 | Enhancing Knowledge Tracing Efficacy with Expert-defined Graphs: A Case Study in Introductory Physics Classes. Zhenting Yan, Rui Zhang |
| 2024 | Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring. Joy Yun, Yann Hicke, Mariah Olson, Dorottya Demszky |
| 2024 | Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study. Wenhan Lyu, Yimeng Wang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang |
| 2024 | Examinator v4.0 : Cheating Detection in Online Take-Home Exams. Christopher Cui, Jui-Tse Hung, Vaibhav Malhotra, Hardik Goel, Raghav Apoorv, Thad Starner |
| 2024 | Examining Student Engagement in Online Learning Platforms for Promoting Exam Readiness and Success in Undergraduate Nursing Education. Mamta Shah, Ryan S. Baker, Peter Granville, Kimberly Sharp |
| 2024 | Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. Emma Brunskill, Kole A. Norberg, Stephen Fancsali, Steven Ritter |
| 2024 | Exploring Disparities in Student and Practitioner Perceptions of Skill Proficiency with Sean Gruber, Grace Govan, Chris Brown |
| 2024 | Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. Steven Ritter, Stephen E. Fancsali, April Murphy, Neil T. Heffernan, Ben Motz, Debshila Basu Mallick, Jeremy Roschelle, Danielle S. McNamara, Joseph Jay Williams |
| 2024 | Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale. Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner |
| 2024 | From One-Size-Fits-All to Individualisation: Redefining MOOCs through Flexible Learning Paths. Selina Reinhard, Sebastian Serth, Thomas Staubitz, Christoph Meinel |
| 2024 | GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger |
| 2024 | Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott |
| 2024 | Generation and Assessment of Multiple-Choice Questions from Video Transcripts using Large Language Models. Taimoor Arif, Sumit Asthana, Kevyn Collins-Thompson |
| 2024 | Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation. Xinyi Lu, Xu Wang |
| 2024 | HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. Jionghao Lin, Kenneth R. Koedinger |
| 2024 | HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks. Momin Naushad Siddiqui, Adit Gupta, Jennifer M. Reddig, Christopher J. MacLellan |
| 2024 | Handwritten Code Recognition for Pen-and-Paper CS Education. Md Sazzad Islam, Moussa Koulako Bala Doumbouya, Christopher D. Manning, Chris Piech |
| 2024 | Influence on Judgements of Learning Given Perceived AI Annotations. Warren Li, Christopher Brooks |
| 2024 | Intelligent Tutors for Adult Learning at Scale: A Narrative Review. Utkarsh Nattamai Subramanian Rajkumar, Sibley F. Lyndgaard, Ruth Kanfer |
| 2024 | Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board. Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing |
| 2024 | Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition. Seungju Kim, Meounggun Jo |
| 2024 | Large-Scale and Versatile Deployment of Biology Cloud Labs in Schools through Teacher Driven Curricula Design. Tahrina Ahmed, Engin Bumbacher, Paulo Blikstein, Ingmar H. Riedel-Kruse |
| 2024 | Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper |
| 2024 | Learning Representations for Math Strategies using BERT. Abisha Thapa Magar, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal |
| 2024 | Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger |
| 2024 | Lessons Learned from a Research-to-Practice Scale-Up of an Adaptive Math Learning Platform. Mingyu Feng, Natalie Brezack, Megan Schneider, Kelly Collins, Wynnie Chan, Melissa Lee |
| 2024 | Leveraging Past Assignments to Determine If Students Are Using ChatGPT for Their Essays. Yuhui Zhao, Chunhao Zou, Rohit Sridhar, Christopher Cui, Thad Starner |
| 2024 | MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger |
| 2024 | Multimodal Deep Learning for Classifying Student-generated Questions in Computer-supported Collaborative Learning. Han Kyul Kim, Aleyeh Roknaldin, Shriniwas Nayak, Aditya Chavan, Stephen Lu |
| 2024 | Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education. Yuchen Wang, Shangxin Guo, Lin Ling, Chee-Wei Tan |
| 2024 | Newly Created Assignments and The First Repository Effect on Inter-Semester Plagiarism. Keith L. Adkins, David A. Joyner |
| 2024 | Open, Collaborative, and AI-Augmented Peer Assessment: Student Participation, Performance, and Perceptions. Chaohua Ou, Ploy Thajchayapong, David A. Joyner |
| 2024 | Optimizing Mentor-student Communication Using LLM-Based Automated Labeling Information States. Yuanzhe Jin, Jiali Yu |
| 2024 | Plagiarism in the Age of Generative AI: Cheating Method Change and Learning Loss in an Intro to CS Course. Binglin Chen, Colleen M. Lewis, Matthew West, Craig B. Zilles |
| 2024 | Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Neil T. Heffernan |
| 2024 | Proceedings of the Eleventh ACM Conference on Learning @ Scale, L@S 2024, Atlanta, GA, USA, July 18-20, 2024 David Joyner, Min Kyu Kim, Xu Wang, Meng Xia |
| 2024 | Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing. David H. Smith, Paul Denny, Max Fowler |
| 2024 | Propagating Large Language Models Programming Feedback. Charles Koutcheme, Arto Hellas |
| 2024 | Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing. Mei Tan, Christopher Mah, Dorottya Demszky |
| 2024 | Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board. Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing |
| 2024 | Ruffle&Riley: From Lesson Text to Conversational Tutoring. Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell |
| 2024 | STEM Pathways in a Global Online Course: Are Male and Female Learners Motivated the Same? Yiwen Lin, Nia Nixon |
| 2024 | Scaling Classrooms: A Forum for Practitioners Seeking, Developing and Adapting their Own Tools. Christopher Cui, Gururaj Deshpande, Celeste Mason, Thad Starner |
| 2024 | Scaling Generated Feedback for Novice Teachers by Sustaining Teacher Educators' Expertise: A Design to Train LLMs with Teacher Educator Endorsement of Generated Feedback. Erin Barno, Mariano Albaladejo-González, Justin Reich |
| 2024 | Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics. Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dorottya Demszky |
| 2024 | Scaling Up Mastery Learning with Generative AI: Exploring How Generative AI Can Assist in the Generation and Evaluation of Mastery Quiz Questions. Stephen Hutt, Grayson Hieb |
| 2024 | Short answer scoring with GPT-4. Lan Jiang, Nigel Bosch |
| 2024 | SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics. Effat Farhana, Souvika Sarkar, Ralph Knipper, Indrani Dey, Hari Narayanan, Sadhana Puntambekar, Shubhra (Santu) K. Karmaker |
| 2024 | Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale. Ha Nguyen, Victoria Nguyen, Saríah López-Fierro, Sara Ludovise, Rossella Santagata |
| 2024 | Socratic Mind: Scalable Oral Assessment Powered By AI. Jui-Tse Hung, Christopher Cui, Diana M. Popescu, Saurabh Chatterjee, Thad Starner |
| 2024 | Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. 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 |
| 2024 | Teacher-AI Collaboration in Content Recommendation for Digital Personalised Learning among Pre-primary Learners in Kenya. Chen Sun, Louis Major, Rebecca Daltry, Nariman Moustafa, Aidan Friedberg |
| 2024 | Teacher-informed Expansion of an Idea Detection Model for a Knowledge Integration Assessment. Weiying Li, Yuying Liao, Kenneth Steimel, Allison Bradford, Libby F. Gerard, Marcia C. Linn |
| 2024 | Technology-Based Instructional Strategies Show Promise in Improving Self-Regulated Learning Skills at Broad-Access Postsecondary Institutions. Renzhe Yu, Hui Yang, Xiaoying Lin, Chengyuan Yao, Paul Burkander, Krystal Thomas, Jessica Mislevy |
| 2024 | Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree. David A. Joyner, Alex S. Duncan |
| 2024 | Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education. Rachel Slama, Amalia Christina Toutziaridi, Justin Reich |
| 2024 | Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. Tommaso Calò, Christopher MacLellan |
| 2024 | Transformative Approach to Fairness and Transparency in Classroom Participation Assessment. Michelle P. Banawan, Elias John Kukas, John Richard Tano, Adonna Tan, Ramil Villegas |
| 2024 | Transforming CS Education with DevOps: Streamlined Assignment Validation and Delivery @ Scale. 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 |
| 2024 | Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot. Joni Salminen, Soon-Gyo Jung, Johanne Medina, Kholoud Khalil Aldous, Jinan Y. Azem, Waleed Akhtar, Bernard J. Jansen |
| 2024 | Using Large Language Models To Diagnose Math Problem-solving Skills At Scale. Hyoungwook Jin, Yoonsu Kim, Yeon Su Park, Bekzat Tilekbay, Jinho Son, Juho Kim |
| 2024 | Varying Impacts: The Role of Student Self-Evaluation in Navigating Learning Analytics. Qiujie Li, Xuehan Zhou, Di Xu, Rachel B. Baker, Amanda J. Holton |
| 2024 | Videos for Parents and Child Performance. Fiona M. Lee, Ryan S. Baker, Pradip Singh Tomar, Krishna Kumari, Qimu Liang, Zhanlan Wei |
| 2024 | VizCode: A Practical Real-time Tool for In-Class Computer Programming Tutoring. Yinuo Yang, Steve Oney |
| 2024 | Who, What, and Where: Plotting Ten Years of Learning @ Scale Research. Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner |