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ORCID9th L@S 2022: New York City, NY, USA
- René F. Kizilcec, Katie Davis, Xavier Ochoa:
L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1 - 3, 2022. ACM 2022, ISBN 978-1-4503-9158-0
Recommendation and Personalisation @ Scale
- Ethan Prihar, Aaron Haim
, Adam Sales, Neil T. Heffernan:
Automatic Interpretable Personalized Learning. 1-11 - Walter L. Leite, Huan Kuang, Zuchao Shen, Nilanjana Chakraborty, George Michailidis, Sidney D'Mello, Wanli Xing:
Heterogeneity of Treatment Effects of a Video Recommendation System for Algebra. 12-23 - India Irish, Saurabh Chatterjee, Chirag Tailor, Roy Finkelberg, Rosa I. Arriaga, Thad Starner:
Post Recommendation System Impact on Student Participation and Performance in an Online AI Graduate Course. 24-34
Analytics @ Scale
- Ali Darvishi, Hassan Khosravi, Solmaz Abdi, Shazia Sadiq, Dragan Gasevic:
Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality. 35-47 - Xiaotian Vivian Li, Mary Beth Rosson, Jenay Robert:
A Scenario-based Exploration of Expected Usefulness, Privacy Concerns, and Adoption Likelihood of Learning Analytics. 48-59 - Meng Xia, Yankun Zhao, Jihyeong Hong, Mehmet Hamza Erol, Taewook Kim, Juho Kim:
RLens: A Computer-aided Visualization System for Supporting Reflection on Language Learning under Distributed Tutorship. 60-71
Academics @ Scale
- Nea Pirttinen, Juho Leinonen, Annemari Auvinen, Vesa Lappalainen, Katja Tynkkynen, Henrik Hedberg, Mikko-Jussi Laakso, Kjell Lemström:
Digital Education For All: Multi-University Study of Increasing Competent Student Admissions at Scale. 72-81 - David A. Joyner:
Meet Me in the Middle: Retention in a "MOOC-Based" Degree Program. 82-92
CS Education @ Scale
- Charis Charitsis, Chris Piech, John C. Mitchell:
Function Names: Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them. 93-101 - Nimisha Agarwal, Amey Karkare:
LEGenT: Localizing Errors and Generating Testcases for CS1. 102-112 - Charis Charitsis, Chris Piech, John C. Mitchell:
Using NLP to Quantify Program Decomposition in CS1. 113-120
Studies @ Scale
- Vinitra Swamy, Mirko Marras, Tanja Käser:
Meta Transfer Learning for Early Success Prediction in MOOCs. 121-132 - Sunil Sabnis, Renzhe Yu, René F. Kizilcec:
Large-Scale Student Data Reveal Sociodemographic Gaps in Procrastination Behavior. 133-141
Video Use @ Scale
- Hendrik Steinbeck, Theresa Elfriede Isa Zobel, Christoph Meinel:
Using the YouTube Video Style in a MOOC: (Re-)Testing the Effect of Visual Experience in a Field-Experiment. 142-150 - Na Li, Guillermo Romera Rodriguez, Yuqiao Xu, Parth Bhatt, Huy Anh Nguyen, Alex Serpi, Chun-Hua Tsai, John M. Carroll:
Picturing One's Self: Camera Use in Zoom Classes during the COVID-19 Pandemic. 151-162 - Haijun Xia, Hui Xin Ng, Zhutian Chen, James D. Hollan:
Millions and Billions of Views: Understanding Popular Science and Knowledge Communication on Video-Sharing Platforms. 163-174
Instructional Design @ Scale
- Reza Hadi Mogavi, Bingcan Guo, Yuanhao Zhang, Ehsan ul Haq, Pan Hui, Xiaojuan Ma:
When Gamification Spoils Your Learning: A Qualitative Case Study of Gamification Misuse in a Language-Learning App. 175-188 - Michael Joseph Meaney:
Designing and Building Inclusive, Entry-level Massive Open Online Courses (MOOCs): Perspectives from Producers. 189-200
Simulations and Games @ Scale
- Sam Lau, Justin Eldridge, Shannon Ellis, Aaron Fraenkel, Marina Langlois, Suraj Rampure, Janine Tiefenbruck, Philip J. Guo:
The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses. 201-211 - Garron Hillaire, Rick Waldron, Joshua Littenberg-Tobias, Meredith M. Thompson, Sara O'Brien, G. R. Marvez, Justin Reich:
Digital Clinical Simulation Suite: Specifications and Architecture for Simulation-Based Pedagogy at Scale. 212-221
Students @ Scale
- Youjie Chen, Annie Fu, Jennifer Jia-Ling Lee, Ian Wilkie Tomasik, René F. Kizilcec:
Pathways: Exploring Academic Interests with Historical Course Enrollment Records. 222-233 - Anjali Singh, Christopher Brooks, Shayan Doroudi:
Learnersourcing in Theory and Practice: Synthesizing the Literature and Charting the Future. 234-245
Panel
- Susan Rundell Singer, Lee Zia, Kumar Garg, Mark Schneider:
Funding Learning at Scale. 246-247
Workshops and Tutorials
- May Kristine Jonson Carlon, Donn Emmanuel Gonda, Eden Mariquit Andrews, John Maurice Gayed, Robert Anthony Olexa, Jeffrey Scott Cross:
Educational Nonlinear Stories with Twine. 248-251 - Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Ben Motz, Debshila Basu Mallick, Klinton Bicknell, Danielle S. McNamara, René F. Kizilcec, Jeremy Roschelle, Richard G. Baraniuk, Ryan Baker:
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. 252-254 - Dan Garcia, Connor McMahon, Yuan Garcia, Matthew West, Craig B. Zilles:
Achieving "A's for All (as Time and Interest Allow)". 255-258 - Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. 259-262
Work in Progress
- Qiao Zhang, Christopher J. MacLellan:
(A)I Will Teach You to Play Gomoku: Exploring the Use of Game AI to Teach People. 263-266 - Shai Perach, Giora Alexandron:
A Blended-Learning Program for Implementing a Rigorous Machine-Learning Curriculum in High-Schools. 267-270 - Jingting Li, Chee-Wei Tan, Ching Nam Hang, Xintong Qi:
A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data. 271-274 - Mohamed Elhayany, Ranjiraj-Rajendran Nair, Thomas Staubitz, Christoph Meinel:
A Study about Future Prospects of JupyterHub in MOOCs. 275-279 - Eileen Scanlon, Christothea Herodotou:
Advancing the Democratization of Research: Citizen Science. 280-283 - Andey Robins, Tiffany Hunt, Dana Robertson, Richard Allen Carter Jr.:
Amazon Alexa Skills as a Novel Modality for In-service Professional Micro-Development (WIP). 284-288 - Bobbie Lynn Eicher, David A. Joyner:
An Examination of Unofficial Course Reviews in a Graduate Program at Scale. 289-293 - Thomas Staubitz, Max Bothe, Mohamed Elhayany, Christiane Hagedorn, Sebastian Serth, Theresa Zobel, Christoph Meinel:
Analysis of the Applicability of General Scaling Laws on Course Size, Completion Rates, and Forum Activity in MOOCs. 294-298 - Sean Tsung, Huan Wei, Haotian Li, Yong Wang, Meng Xia, Huamin Qu:
BlockLens: Visual Analytics of Student Coding Behaviors in Block-Based Programming Environments. 299-303 - Mohit Chandarana, Elise Deitrick:
Challenges of Scaling Programming-based Behavioral Metrics. 304-308 - Hui Yang, Nonye Alozie, Arif Rachmatullah:
Collaboration at Scale: Exploring Member Role Changing Patterns in Collaborative Science Problem-solving Tasks. 309-312 - Gavin W. Porter:
Collaborative Annotation: Links to Formative Assessment and Issues of Scale for Pedagogy. 313-316 - Sasipa Boonyubol, Shahriar Kabir, Jeffrey Scott Cross:
Comparing MOOC Learners Engagement with Japanese Videos and Text to Speech Generated English Videos. 317-320 - Chi-Un Lei, Hong Qiang Wei:
Developing Student's Global Competencies at Scale in an Affordable MOOC K12 Outreach Initiative. 321-324 - Benny G. Johnson, Jeffrey S. Dittel, Rachel Van Campenhout, Bill Jerome:
Discrimination of Automatically Generated Questions Used as Formative Practice. 325-329 - Katy Jordan, Christina Myers:
EdTech and Girls Education in Low- and Middle-Income Countries: Which Intervention Types Have the Greatest Impact on Learning Outcomes for Girls? 330-334 - René F. Kizilcec, Jennifer A. Mimno, Andrew J. Karhan:
Effects of Framing Professional Development as a Career Growth Opportunity on Course Completion. 335-339 - Xiuyu Chen, Shihui Feng:
Exploring the Relationships between Social and Teaching Presence in Video-based Informal Learning Using Network Analysis. 340-344 - Anindya Roy, Michael Yee, Meghan Perdue, Julius Stein, Ana Bell, Ronisha Carter, Shigeru Miyagawa:
How COVID-19 Affected Computer Science MOOC Learner Behavior and Achievements: A Demographic Study. 345-349 - Shu-Yi Hsu, M. Shane Tutwiler:
How Much and for Whom?: A Multi-Wave Study of the Impact of Self-Regulated Learning Scaffolds on MOOC Student Academic Performance. 350-354 - Michael Meaney, Tom Fikes:
Adding a Demographic Lens to Cluster Analysis of Participants in Entry-level Massive Open Online Courses (MOOCs). 355-359 - Farahnaz Soleimani, Jeonghyun Lee, Meryem Yilmaz Soylu, Saurabh Chatterjee:
Influential Text-Based Features in Predicting Admission Status of Online Degree Applicants. 360-363 - G. R. Marvez, Tianyuan Zheng, Joshua Littenberg-Tobias, Garron Hillaire, Sara O'Brien, Justin Reich:
Integrating Dynamic Supports into an Equity Teaching Simulation to Promote Equity Mindsets. 364-367 - Naoto Nishida, Hinako Nozaki, Buntarou Shizuki:
Laugh at Your Own Pace: Basic Performance Evaluation of Language Learning Assistance by Adjustment of Video Playback Speeds Based on Laughter Detection. 368-373 - Bo Yang, Huyang He:
Learning Alone Yet Together: Enhancing Between-Learner Social Connectivity at Scale. 374-378 - Carinna Nunes Tulha, Marco António Garcia de Carvalho, Leandro Nunes de Castro:
LEDA: A Learning Analytics Based Framework to Analyze Remote Labs Interaction. 379-383 - Shiva Shabaninejad, Hassan Khosravi, Solmaz Abdi, Marta Indulska, Shazia Sadiq:
Incorporating Explainable Learning Analytics to Assist Educators with Identifying Students in Need of Attention. 384-388 - Michelle P. Banawan, Jinnie Shin, Renu Balyan, Walter L. Leite, Danielle S. McNamara:
Math Discourse Linguistic Components (Cohesive Cues within a Math Discussion Board Discourse). 389-394 - Ji Yong Cho, Yue Li, Marianne E. Krasny, René F. Kizilcec:
Measuring Cultural Dimensions of Learning in Online Courses. 395-399 - Robert Stanyon, Austin A. Tomlinson, Manjinder Kainth, Nicola K. Wilkin:
Providing Individual Student Feedback at Scale for Mathematical Disciplines. 400-404 - Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J. L. Keller, Bodong Chen:
Re-envisioning a K-12 Early Warning System with School Climate Factors. 405-408 - Chenglu Li, Wanli Xing:
Revealing Factors Influencing Students' Perceived Fairness: A Case with a Predictive System for Math Learning. 409-412 - Kendall Nakai, Philip J. Guo:
Scaling Up Access to the Hidden Curriculum: A Design Methodology for Creating Undergraduate Mentoring Guides. 413-417 - Yu-Chun (Grace) Yen, Steven P. Dow:
Seeking Exemplars in the Wild: Exploring How Students Find Design Examples to Support Personalized Learning. 418-421 - Bobbie Lynn Eicher, David A. Joyner:
Student Use of Course Reviews at Scale. 422-426 - Rémi Sharrock, Ewen Collin, Thibaud Labat, Ella Hamonic, Petra Bonfert-Taylor, Michael Goudzwaard:
Teaching and Learning Programming with Linux using In-Browser Client-Side Web Technologies: Exploring the Key Features for Achieving Systems and Tools Scalability. 427-430 - Michael Yee, Anindya Roy, Julius Stein, Meghan Perdue, Ana Bell, Ronisha Carter, Shigeru Miyagawa:
The Relationship Between COVID-19 Severity and Computer Science MOOC Learner Achievement: A Preliminary Analysis. 431-435 - Pablo García-Zarza, Miguel L. Bote-Lorenzo, Guillermo Vega-Gorgojo, Juan I. Asensio-Pérez:
Towards a Teacher Application to Support Semantic Annotations of Learning Tasks in Cultural Heritage. 436-440 - Jungwook Rhim, Gahgene Gweon:
Understanding the Relationship Between Students' Learning Outcome and Behavioral Patterns using Touch Trajectories. 441-445 - Zachary Felker, Zhongzhou Chen:
Using a Planning Prompt Survey to Encourage Early Completion of Homework Assignments. 446-450 - Yu Li, Chun-Yen Chen, Dian Yu, Sam Davidson, Ryan Hou, Xun Yuan, Yinghua Tan, Derek Pham, Zhou Yu:
Using Chatbots to Teach Languages. 451-455 - Kimberly Williamson, René F. Kizilcec:
Large-scale Analysis of Discussion Networks in College Courses. 456-460 - Dragos Corlatescu, Stefan Ruseti, Irina Toma, Mihai Dascalu:
Where are the Large N Studies in Education?: Introducing a Dataset of Scientific Articles and NLP Techniques. 461-465
Demos
- Robert Stanyon, Enrico Martello, Manjinder Kainth, Nicola K. Wilkin:
Demo of Graide: AI Powered Assistive Grading Engine. 466-468 - Danielle R. Chine, Pallavi Chhabra, Adetunji Adeniran, Shivang Gupta, Kenneth R. Koedinger:
Development of Scenario-based Mentor Lessons: An Iterative Design Process for Training at Scale. 469-471 - Scott Bunin, Willventchy Celestin, Andrew Hornback, Spencer Rugaber:
Incorporating Habitats in Conceptual Models and Agent-Based Simulations: Expanding the Virtual Ecological Research Assistant (VERA). 472-474 - Dan Garcia, Connor McMahon, Yuan Garcia, Matthew West, Craig B. Zilles:
Software Support for "A's for All". 475-476
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last updated on 2025-11-08 00:51 CET by the dblp team
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