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Publication search results
found 778 matches
- 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: 565-566 - Keith L. Adkins, David A. Joyner:
Newly Created Assignments and The First Repository Effect on Inter-Semester Plagiarism. L@S 2024: 211-220 - 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: 524-529 - Taimoor Arif, Sumit Asthana, Kevyn Collins-Thompson:
Generation and Assessment of Multiple-Choice Questions from Video Transcripts using Large Language Models. L@S 2024: 530-534 - 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: 501-504 - 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: 412-416 - 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: 165-176 - Allison Bradford, Weiying Li, Libby F. Gerard, Marcia C. Linn:
Comparing Expert and ChatGPT-authored Guidance Prompts. L@S 2024: 388-392 - Nick Brown, Rachel Van Campenhout, Michelle W. Clark, Benny G. Johnson:
Are Students Reading? How Formative Practice Impacts Student Reading Behaviors in Etextbooks. L@S 2024: 383-387 - Emma Brunskill, Kole A. Norberg, Stephen Fancsali, Steven Ritter:
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. L@S 2024: 356-360 - Tommaso Calò, Christopher MacLellan:
Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces. L@S 2024: 305-309 - Miguel Morales Chan, Hector R. Amado-Salvatierra, Rocael Hernández Rizzardini:
AI-Driven Content Creation: Revolutionizing Educational Materials. L@S 2024: 556-558 - Xiuyu Chen, Shihui Feng:
Analyzing Students' Information Behavior in Generative AI-Supported Small Group Discussions. L@S 2024: 325-329 - 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: 75-85 - 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: 539-541 - Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan:
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. L@S 2024: 5-15 - Katerina Christhilf, Jiachen Gong, Danielle S. McNamara:
Context-Embedded Knowledge Tracing and Latent Concept Detection in a Reading Game. L@S 2024: 403-407 - Christopher Cui, Gururaj Deshpande, Celeste Mason, Thad Starner:
Scaling Classrooms: A Forum for Practitioners Seeking, Developing and Adapting their Own Tools. L@S 2024: 563-564 - Christopher Cui, Jui-Tse Hung, Vaibhav Malhotra, Hardik Goel, Raghav Apoorv, Thad Starner:
Examinator v4.0 : Cheating Detection in Online Take-Home Exams. L@S 2024: 330-334 - Christopher Cui, Jui-Tse Hung, Pranav Sharma, Saurabh Chatterjee, Thad Starner:
Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of Cheating. L@S 2024: 519-523 - Chris Dede:
Designing a Model for Massive Digital Lifelong Learning. L@S 2024: 3-4 - 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: 259-264 - 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: 250-254 - 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. L@S 2024: 376-382 - 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: 505-509 - 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. L@S 2024: 461-465 - 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: 456-460 - 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: 255-258 - Hagit Gabbay, Anat Cohen:
Combining LLM-Generated and Test-Based Feedback in a MOOC for Programming. L@S 2024: 177-187 - Sean Gruber, Grace Govan, Chris Brown:
Exploring Disparities in Student and Practitioner Perceptions of Skill Proficiency with SE Gap Awareness. L@S 2024: 274-278
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