default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID8th L@S 2021: Virtual Event / Potsdam, Germany
- Christoph Meinel, Mar Pérez-Sanagustín, Marcus Specht, Amy Ogan:
L@S'21: Eighth ACM Conference on Learning @ Scale, Virtual Event, Germany, June 22-25, 2021. ACM 2021, ISBN 978-1-4503-8215-1
Workshops
- Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell:
Second Workshop on Educational A/B Testing at Scale. 1-3 - Jim Goodell
, Aaron Kessler, Mary Ellen Wiltrout, Monika Avello:
Learning Engineering @ Scale. 5-7
Keynote Talks
- Geoffrey B. West:
Scale: A Window onto Universal Laws of Growth, Living and Dying in Organisms, Cities and Companies. 9 - Sanna Järvelä:
Co-Evolution of Human Capabilities and Intelligent Technologies for Digital Education. 11 - Motahhare Eslami:
Revisiting Transparency and Fairness in Algorithmic Systems Through the Lens of Public Education and Engagement. 13
Perspectives from North America
- Mohi Reza, Juho Kim, Ananya Bhattacharjee, Anna N. Rafferty, Joseph Jay Williams:
The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses. 15-26 - Andrew M. Olney:
Generating Response-Specific Elaborated Feedback Using Long-Form Neural Question Answering. 27-36 - Ethan Prihar, Thanaporn Patikorn, Anthony Botelho, Adam Sales, Neil T. Heffernan:
Toward Personalizing Students' Education with Crowdsourced Tutoring. 37-45 - David A. Joyner, Akhil Mavilakandy, Ishaani Mittal, Denise G. Kutnick, Blair MacIntyre:
Content-Neutral Immersive Environments for Cultivating Scalable Camaraderie. 47-58
Perspectives from US West Coast
- Kavana Ramesh, Laton Vermette, Parmit K. Chilana:
Setting up, Troubleshooting, and Innovating on the Delivery of Online Instruction: A Case Study of an LMS Q&A Forum. 59-67 - Karen D. Wang, Shima Salehi, Max Arseneault, Krishnan Nair, Carl E. Wieman:
Automating the Assessment of Problem-solving Practices Using Log Data and Data Mining Techniques. 69-76 - Benjamin Xie, Matthew J. Davidson, Baker Franke, Emily McLeod, Min Li, Amy J. Ko:
Domain Experts' Interpretations of Assessment Bias in a Scaled, Online Computer Science Curriculum. 77-89 - Renzhe Yu, Hansol Lee, René F. Kizilcec:
Should College Dropout Prediction Models Include Protected Attributes? 91-100
Perspectives from Oceania
- Reza Hadi Mogavi, Yankun Zhao, Ehsan ul Haq, Pan Hui, Xiaojuan Ma:
Student Barriers to Active Learning in Synchronous Online Classes: Characterization, Reflections, and Suggestions. 101-115 - Jingting Li, Lin Ling, Chee-Wei Tan:
Blending Peer Instruction with Just-In-Time Teaching: Jointly Optimal Task Scheduling with Feedback for Classroom Flipping. 117-126 - Patrick A. Crain, Brian P. Bailey:
What's the Point? How Scores Undermine Written Comments on Open-Ended Work. 127-138 - Ali Darvishi, Hassan Khosravi, Shazia W. Sadiq:
Employing Peer Review to Evaluate the Quality of Student Generated Content at Scale: A Trust Propagation Approach. 139-150
Perspectives from Europe and US
- Farahnaz Soleimani, Jeonghyun Lee:
Comparative Analysis of the Feature Extraction Approaches for Predicting Learners Progress in Online Courses: MicroMasters Credential versus Traditional MOOCs. 151-159 - Ji Yong Cho, Yue Li, Anne K. Armstrong, Alex Russ, Marianne E. Krasny, René F. Kizilcec:
Using Social Norms to Promote Actions Beyond the Course. 161-172 - Jan Philip Bernius, Stephan Krusche, Bernd Bruegge:
A Machine Learning Approach for Suggesting Feedback in Textual Exercises in Large Courses. 173-182 - Anastasios Ntourmas, Yannis A. Dimitriadis, Sophia Daskalaki, Nikolaos M. Avouris:
Classification of Discussions in MOOC Forums: An Incremental Modeling Approach. 183-194
Perspectives from US East Coast
- Ji Yong Cho, René F. Kizilcec:
Applying the Behavior Change Technique Taxonomy from Public Health Interventions to Educational Research. 195-207 - Steven Moore, Huy Anh Nguyen, John C. Stamper:
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions. 209-220 - Anjali Singh, Christopher Brooks, Yiwen Lin, Warren Li:
What's In It for the Learners? Evidence from a Randomized Field Experiment on Learnersourcing Questions in a MOOC. 221-233
Works-in-Progress
- Yuya Asano, Madhurima Dutta, Trisha Thakur, Jaemarie Solyst, Stephanie Cristea, Helena Jovic, Andrew Petersen, Joseph Jay Williams:
Exploring Additional Personalized Support While Attempting Exercise Problems in Online Learning Platforms. 235-238 - Dapeng Shan, Prasanta Bhattacharya, Ben Kao, Tuan Phan:
Characterizing Amateur Tutoring Behavior on a Large Online Learning Platform. 239-242 - David Lang, Alex Wang, Nathan Dalal, Andreas Paepcke, Mitchell L. Stevens:
Forecasting Undergraduate Majors Using Academic Transcript Data. 243-246 - Alexander Shashkov, Robert Gold, Erik Hemberg, ByeongJo Kong, Ana Bell, Una-May O'Reilly:
Analyzing Student Reflection Sentiments and Problem-Solving Procedures in MOOCs. 247-250 - Max Bothe, Christoph Meinel:
The Impact of Mobile Learning on Students' Self-Test Behavior in MOOCs. 251-254 - Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Combining Collaborative Reflection based on Worked-Out Examples with Problem-Solving Practice: Designing Collaborative Programming Projects for Learning at Scale. 255-258 - Rialy Andriamiseza, Franck Silvestre, Jean-François Parmentier, Julien Broisin:
Data-informed Decision-making in TEFA Processes: An Empirical Study of a Process Derived from Peer-Instruction. 259-262 - Ido Roll, Ilana Ram, Sara Harris:
Personalization at Scale: Making Learning Personally Relevant in a Climate Science MOOC. 263-266 - Lovisa Sundin, Quintin I. Cutts:
Introducing Data Wrangling using Graphical Subgoals - Findings from an e-Learning Study. 267-270 - Jinjin Zhao, Candace Thille, Neelesh Gattani, Dawn Zimmaro:
A Novel Framework for Discovering Cognitive Models of Learning. 271-274 - Hendrik Steinbeck, Ralf Teusner, Christoph Meinel:
Teaching the Masses on Twitch: An Initial Exploration of Educational Live-Streaming. 275-278 - Ji Yong Cho, Ian Wilkie Tomasik, Hui Yang, René F. Kizilcec:
Student Perceptions of Social Support in the Transition to Emergency Remote Instruction. 279-282 - Thomas W. Price, Samiha Marwan, Joseph Jay Williams:
Exploring Design Choices in Data-driven Hints for Python Programming Homework. 283-286 - Kimberly Williamson, René F. Kizilcec:
Learning Analytics Dashboard Research Has Neglected Diversity, Equity and Inclusion. 287-290 - Charis Charitsis, Chris Piech, John C. Mitchell:
Assessing Function Names and Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them. 291-294 - Rachel Van Campenhout, Nick Brown, Bill Jerome, Jeffrey S. Dittel, Benny G. Johnson:
Toward Effective Courseware at Scale: Investigating Automatically Generated Questions as Formative Practice. 295-298 - Shun Arima, Motoki Yasui, Keiko Okawa:
Re-Design Classroom into MOOC-like Content With Remote Face-to-Face Sessions During the COVID-19 Pandemic: A Case Study in Graduate School. 299-302 - Bobbie Lynn Eicher, David A. Joyner:
Components of Assessments and Grading At Scale. 303-306 - Sebastian Serth, Ralf Teusner, Christoph Meinel:
Impact of Contextual Tips for Auto-Gradable Programming Exercises in MOOCs. 307-310 - Bhavya, Jinfeng Xiao, Chengxiang Zhai:
Scaling Up Data Science Course Projects: A Case Study. 311-314 - Shipi Dhanorkar, D. Benjamin Hellar, Mary Beth Rosson:
What do I need to know? Designing Student Learning Tools that Aid Interaction with Recorded Lecture Content. 315-318 - Zhi Liu, Rui Mu, Shiqi Liu, Xian Peng, Sannyuya Liu:
Modeling Temporal Association of Cognition-Topic in MOOC Discussion to Track Learners' Cognitive Engagement Dynamics. 319-322 - Sophia Yang, Ziyuan Wei, Geoffrey L. Herman, Abdussalam Alawini:
Analyzing Patterns in Student SQL Solutions via Levenshtein Edit Distance. 323-326 - Lin Ling, Chee Wei Tan:
Peer-Grading at Scale with Rank Aggregation. 327-330 - Thomas Hillman, Alena Seredko, Markus Nivala, Tanya Osborne:
Knowledge Sharing in Tension: Interacting and Documenting on Stack Overflow. 331-334 - Akshay Dahiya, Rocko Graziano, India Irish, Thad Starner:
JackMarker with GitDown: A Framework to Counter Plagiarism at Scale. 335-338 - Mar Pérez-Sanagustín, Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Esteban Villalobos, Isabel Hilliger, Josefina Hernández, Diego Sapunar, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Delgado Kloos, Jon Imaz Marín:
Can Feedback based on Predictive Data Improve Learners' Passing Rates in MOOCs? A Preliminary Analysis. 339-342 - Alex Duncan, David A. Joyner:
With or Without EU: Navigating GDPR Constraints in Human Subjects Research in an Education Environment. 343-346 - Yassine Safsouf, Khalifa Mansouri, Franck Poirier:
Experimental Design of Learning Analysis Dashboards for Teachers and Learners. 347-350 - John Hosmer, Jeonghyun Lee:
How Online Learners Build Cognitive Presence: Implications from a Machine Learning Approach. 351-354 - Bobbie Lynn Eicher, David A. Joyner:
Toward Reshaping the Syllabus for Education at Scale. 355-358 - Meltem Tutar, Austin Wang, Gulsen Kutluoglu:
Personalized Lecture Recommendations to Facilitate Bite-Sized Learning. 359-362
Demo Session
- Sabrina Ludwig, Andreas Rausch, Viola Deutscher, Jürgen Seifried:
Problem Solving Analytics (PSA) in the Web-Based Office Simulation LUCA. 363-364 - Bill Jerome, Rachel Van Campenhout, Benny G. Johnson:
Automatic Question Generation and the SmartStart Application. 365-366
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-29 20:18 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
