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ORCID10th L@S 2024: Atlanta, GA, USA
- David Joyner, Min Kyu Kim, Xu Wang, Meng Xia:
Proceedings of the Eleventh ACM Conference on Learning @ Scale, L@S 2024, Atlanta, GA, USA, July 18-20, 2024. ACM 2024
Keynote Talks
- Nesra Yannier
:
Bringing AI Tutoring into the Physical World and Scaling to Schools and Museums. 1-2 - Chris Dede:
Designing a Model for Massive Digital Lifelong Learning. 3-4
Session 1: Generative AI to Support Teaching and Learning
- Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan:
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. 5-15 - Xinyi Lu, Xu Wang:
Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation. 16-27 - Ha Nguyen, Victoria Nguyen, Saríah López-Fierro, Sara Ludovise, Rossella Santagata:
Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale. 28-38 - David H. Smith, Paul Denny, Max Fowler:
Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing. 39-50
Session 2: LLMs for Programming Education
- Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson:
CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming. 51-62 - Wenhan Lyu, Yimeng Wang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang:
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study. 63-74 - 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. 75-85 - 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. 86-97
Session 3: Creating Learning Content at Scale
- Wode Ni, Sam Estep, Hwei-Shin Harriman, Kenneth R. Koedinger, Joshua Sunshine:
Edgeworth: Efficient and Scalable Authoring of Visual Thinking Activities. 98-109 - Hai Li, Rui Guo, Chenglu Li, Wanli Xing:
Automated Quality Assessment of Multimodal Mathematical Stories Generated by Generative Artificial Intelligence. 110-121 - Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. 122-133 - Han Kyul Kim, Aleyeh Roknaldin, Shriniwas Nayak, Aditya Chavan, Stephen Lu:
Multimodal Deep Learning for Classifying Student-generated Questions in Computer-supported Collaborative Learning. 134-142
Session 4: Formal Education at Scale: MOOCs and Residential Programs
- David A. Joyner, Alex S. Duncan:
Ten Years, Ten Trends: The First Decade of an Affordable At-Scale Degree. 143-153 - Selina Reinhard, Sebastian Serth, Thomas Staubitz, Christoph Meinel:
From One-Size-Fits-All to Individualisation: Redefining MOOCs through Flexible Learning Paths. 154-164 - Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. 165-176 - Hagit Gabbay, Anat Cohen:
Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming. 177-187
Session 5: Technologies to Enhance Participation and Engagement in CS and Data Science Education
- Ashley Ge Zhang, Xiaohang Tang, Steve Oney, Yan Chen:
CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale. 188-199 - Md Sazzad Islam, Moussa Koulako Bala Doumbouya, Christopher D. Manning, Chris Piech:
Handwritten Code Recognition for Pen-and-Paper CS Education. 200-210 - Keith L. Adkins, David A. Joyner:
Newly Created Assignments and The First Repository Effect on Inter-Semester Plagiarism. 211-220 - Warren Li, Christopher Brooks:
Influence on Judgements of Learning Given Perceived AI Annotations. 221-231
Session 6: Learning at Scale in a Global Context
- 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. 232-242 - Yiwen Lin, Nia Nixon:
STEM Pathways in a Global Online Course: Are Male and Female Learners Motivated the Same? 243-249
Work In Progress
- Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner:
Collaborate and Listen: International Research Collaboration at Learning @ Scale. 250-254 - 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. 255-258 - 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. 259-264 - Fiona M. Lee, Ryan S. Baker, Pradip Singh Tomar, Krishna Kumari, Qimu Liang, Zhanlan Wei:
Videos for Parents and Child Performance. 265-268 - Robert Lindgren, Sandeep Kakar, Pratyusha Maiti, Karan Taneja, Ashok K. Goel:
Does Jill Watson Increase Teaching Presence? 269-273 - Sean Gruber, Grace Govan, Chris Brown:
Exploring Disparities in Student and Practitioner Perceptions of Skill Proficiency with SE Gap Awareness. 274-278 - Joni Salminen, Soon-Gyo Jung, Johanne Medina, Kholoud Khalil Aldous, Jinan Y. Azem, Waleed Akhtar, Bernard J. Jansen:
Using Cipherbot: An Exploratory Analysis of Student Interaction with an LLM-Based Educational Chatbot. 279-283 - Yuanzhe Jin, Jiali Yu:
Optimizing Mentor-student Communication Using LLM-Based Automated Labeling Information States. 284-288 - Utkarsh Nattamai Subramanian Rajkumar, Sibley F. Lyndgaard, Ruth Kanfer:
Intelligent Tutors for Adult Learning at Scale: A Narrative Review. 289-294 - Rachel Slama, Amalia Christina Toutziaridi, Justin Reich:
Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education. 295-299 - Owen Henkel, Libby Hills, Adam Boxer, Bill Roberts, Zachary Levonian:
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability To Mark Short Answer Questions in K-12 Education. 300-304 - Tommaso Calò, Christopher MacLellan:
Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. 305-309 - Stephen Hutt, Grayson Hieb:
Scaling Up Mastery Learning with Generative AI: Exploring How Generative AI Can Assist in the Generation and Evaluation of Mastery Quiz Questions. 310-314 - Seungju Kim, Meounggun Jo:
Is GPT-4 Alone Sufficient for Automated Essay Scoring?: A Comparative Judgment Approach Based on Rater Cognition. 315-319 - Yuhui Zhao, Chunhao Zou, Rohit Sridhar, Christopher Cui, Thad Starner:
Leveraging Past Assignments to Determine If Students Are Using ChatGPT for Their Essays. 320-324 - Xiuyu Chen, Shihui Feng:
Analyzing Students' Information Behavior in Generative AI-Supported Small Group Discussions. 325-329 - Christopher Cui, Jui-Tse Hung, Vaibhav Malhotra, Hardik Goel, Raghav Apoorv, Thad Starner:
Examinator v4.0 : Cheating Detection in Online Take-Home Exams. 330-334 - Ha Nguyen, Nate Stott, Vicki Allan:
Comparing Feedback from Large Language Models and Instructors: Teaching Computer Science at Scale. 335-339 - Jui-Tse Hung, Christopher Cui, Diana M. Popescu, Saurabh Chatterjee, Thad Starner:
Socratic Mind: Scalable Oral Assessment Powered By AI. 340-345 - 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. 346-350 - Tianjia Wang, Ramaraja Ramanujan, Yi Lu, Chenyu Mao, Yan Chen, Chris Brown:
DevCoach: Supporting Students in Learning the Software Development Life Cycle at Scale with Generative Agents. 351-355 - Emma Brunskill, Kole A. Norberg, Stephen Fancsali, Steven Ritter:
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. 356-360 - Baptiste Moreau-Pernet, Yu Tian, Sandra Sawaya, Peter W. Foltz, Jie Cao, Brent Milne, Thomas Christie:
Classifying Tutor Discursive Moves at Scale in Mathematics Classrooms with Large Language Models. 361-365 - Charles Koutcheme, Arto Hellas:
Propagating Large Language Models Programming Feedback. 366-370 - Hai Li, Wanli Xing, Chenglu Li, Wangda Zhu, Neil T. Heffernan:
Positive Affective Feedback Mechanisms in an Online Mathematics Learning Platform. 371-375 - Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. Joyner:
Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale. 376-382 - Nick Brown, Rachel Van Campenhout, Michelle W. Clark, Benny G. Johnson:
Are Students Reading? How Formative Practice Impacts Student Reading Behaviors in Etextbooks. 383-387 - Allison Bradford, Weiying Li, Libby F. Gerard, Marcia C. Linn:
Comparing Expert and ChatGPT-authored Guidance Prompts. 388-392 - Yuchen Wang, Shangxin Guo, Lin Ling, Chee-Wei Tan:
Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education. 393-397 - Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing:
Roles of Joining Time, Technology Use, and Social Interaction in Sustaining Student Participation in an Online Mathematics Discussion Board. 398-402 - Katerina Christhilf, Jiachen Gong, Danielle S. McNamara:
Context-Embedded Knowledge Tracing and Latent Concept Detection in a Reading Game. 403-407 - 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. 408-411 - 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. 412-416 - Mei Tan, Christopher Mah, Dorottya Demszky:
Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing. 417-421 - Joy Yun, Yann Hicke, Mariah Olson, Dorottya Demszky:
Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring. 422-426 - Griffin Pitts, Viktoria Marcus, Sanaz Motamedi:
A Proposed Model of Learners' Acceptance and Trust of Pedagogical Conversational AI. 427-432 - Zhenting Yan, Rui Zhang:
Enhancing Knowledge Tracing Efficacy with Expert-defined Graphs: A Case Study in Introductory Physics Classes. 433-437 - Lan Jiang, Nigel Bosch:
Short answer scoring with GPT-4. 438-442 - 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. 443-446 - Weiying Li, Yuying Liao, Kenneth Steimel, Allison Bradford, Libby F. Gerard, Marcia C. Linn:
Teacher-informed Expansion of an Idea Detection Model for a Knowledge Integration Assessment. 447-450 - Gautam Yadav, Paulo F. Carvalho, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization. 451-455 - 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. 456-460 - Effat Farhana, Souvika Sarkar, Ralph Knipper, Indrani Dey, Hari Narayanan, Sadhana Puntambekar, Shubhra (Santu) K. Karmaker:
SimPal: Towards a Meta-Conversational Framework to Understand Teacher's Instructional Goals for K-12 Physics. 461-465 - Bailing Lyu, Chenglu Li, Hai Li, Wanli Xing:
Interplay Among Students' Technical, Social, and Content-Related Participation Patterns in an Online Mathematical Discussion Board. 466-470 - Hyoungwook Jin, Yoonsu Kim, Yeon Su Park, Bekzat Tilekbay, Jinho Son, Juho Kim:
Using Large Language Models To Diagnose Math Problem-solving Skills At Scale. 471-475 - Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dorottya Demszky:
Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics. 476-480 - Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger:
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. 481-485 - Diana M. Popescu, David A. Joyner:
ChatGPT's Performance on Problem Sets in an At-Scale Introductory Computer Science Course. 486-490 - Momin N. Siddiqui, Adit Gupta, Jennifer M. Reddig, Christopher J. MacLellan:
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks. 491-495 - Chaohua Ou, Ploy Thajchayapong, David A. Joyner:
Open, Collaborative, and AI-Augmented Peer Assessment: Student Participation, Performance, and Perceptions. 496-500 - Michelle Banawan, Elias John Kukas, John Richard Tano, Adonna Tan, Ramil Villegas:
Transformative Approach to Fairness and Transparency in Classroom Participation Assessment. 501-504 - 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. 505-509 - 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. 510-513 - Abisha Thapa Magar, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal:
Learning Representations for Math Strategies using BERT. 514-518 - Christopher Cui, Jui-Tse Hung, Pranav Sharma, Saurabh Chatterjee, Thad Starner:
Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of Cheating. 519-523 - 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. 524-529 - Taimoor Arif, Sumit Asthana, Kevyn Collins-Thompson:
Generation and Assessment of Multiple-Choice Questions from Video Transcripts using Large Language Models. 530-534 - Qiujie Li, Xuehan Zhou, Di Xu, Rachel B. Baker, Amanda J. Holton:
Varying Impacts: The Role of Student Self-Evaluation in Navigating Learning Analytics. 535-538
Demostrations
- Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger:
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. 539-541 - Ashley Ge Zhang, Xiaohang Tang, Steve Oney, Yan Chen:
Demonstration of CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at Scale. 542-543 - Yinuo Yang, Steve Oney:
VizCode: A Practical Real-time Tool for In-Class Computer Programming Tutoring. 544-546 - Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. 547-549 - Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger:
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. 550-552 - Jionghao Lin, Kenneth R. Koedinger:
HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. 553-555
Workshops
- Miguel Morales Chan, Hector R. Amado-Salvatierra, Rocael Hernández Rizzardini:
AI-Driven Content Creation: Revolutionizing Educational Materials. 556-558 - 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. 559-562 - Christopher Cui, Gururaj Deshpande, Celeste Mason, Thad Starner:
Scaling Classrooms: A Forum for Practitioners Seeking, Developing and Adapting their Own Tools. 563-564 - 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. 565-566
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