default search action
6th L@S 2019: Chicago, IL, USA
- Proceedings of the Sixth ACM Conference on Learning @ Scale, L@S 2019, Chicago, IL, USA, June 24-25, 2019. ACM 2019, ISBN 978-1-4503-6804-9
Broader Issues
- Petr Johanes:
Start of a Science: An Epistemological Analysis of Learning at Scale. 1:1-1:10 - René F. Kizilcec, Andrew J. Saltarelli:
Can a diversity statement increase diversity in MOOCs? 2:1-2:8 - José A. Ruipérez-Valiente, Sherif A. Halawa, Justin Reich:
Multiplatform MOOC Analytics: Comparing Global and Regional Patterns in edX and Edraak. 3:1-3:9 - Tobias Rohloff, Dominic Sauer, Christoph Meinel:
On the Acceptance and Usefulness of Personalized Learning Objectives in MOOCs. 4:1-4:10
Engagement
- Thomas Staubitz, Christoph Meinel:
Graded Team Assignments in MOOCs: Effects of Team Composition and Further Factors on Team Dropout Rates and Performance. 5:1-5:10 - Rimika Chaudhury, Parmit K. Chilana:
How Learners Engage with In-Context Retrieval Exercises in Online Informational Videos. 6:1-6:10 - Matthew Fong, Samuel Dodson, Negar Mohaghegh Harandi, Kyoungwon Seo, Dongwook Yoon, Ido Roll, Sidney S. Fels:
Instructors Desire Student Activity, Literacy, and Video Quality Analytics to Improve Video-based Blended Courses. 7:1-7:10 - René F. Kizilcec, Daniel Goldfarb:
Growth Mindset Predicts Student Achievement and Behavior in Mobile Learning. 8:1-8:10
Domain Specific
- Charles H. Chen, Philip J. Guo:
Improv: Teaching Programming at Scale via Live Coding. 9:1-9:10 - Haiying Li, Janice D. Gobert, Rachel Dickler:
Scaffolding during Science Inquiry. 10:1-10:10 - Hao Fei Cheng, Bowen Yu, Siwei Fu, Jian Zhao, Brent J. Hecht, Joseph A. Konstan, Loren Terveen, Svetlana Yarosh, Haiyi Zhu:
Teaching UI Design at Global Scales: A Case Study of the Design of Collaborative Capstone Projects for MOOCs. 11:1-11:11 - Andrea Franceschini, James P. Sharkey, Alastair R. Beresford:
Inequality: multi-modal equation entry on the web. 12:1-12:10
Assessment
- Saar Kuzi, William W. Cope, Duncan C. Ferguson, Chase Geigle, ChengXiang Zhai:
Automatic Assessment of Complex Assignments using Topic Models. 13:1-13:10 - Maletsabisa Molapo, Chane Simone Moodley, Ismail Yunus Akhalwaya, Toby Kurien, Jay Kloppenberg, Richard A. Young:
Designing Digital Peer Assessment for Second Language Learning in Low Resource Learning Settings. 14:1-14:13 - Ángel Pérez-Lemonche, John Stewart, Byron Drury, Rachel Henderson, Alex Shvonski, David E. Pritchard:
Mining Students Pre-instruction Beliefs for Improved Learning. 15:1-15:10 - Scott Hellman, Mark Rosenstein, Andrew Gorman, William Murray, Lee Becker, Alok Baikadi, Jill Budden, Peter W. Foltz:
Scaling Up Writing in the Curriculum: Batch Mode Active Learning for Automated Essay Scoring. 16:1-16:10
Learning Support
- Xu Wang, Srinivasa Teja Talluri, Carolyn P. Rosé, Kenneth R. Koedinger:
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities. 17:1-17:10 - Chinmay Kulkarni:
Design Perspectives of Learning at Scale: Scaling Efficiency and Empowerment. 18:1-18:11 - Jennifer S. Kay, Colin Lambe, Tyler J. Nolan, Thomas M. Grello, Anthony F. Breitzman:
Apples to Apples: Differences in Viewer Retention When Longer Content is Chopped into Smaller Bites. 19:1-19:7 - Angelica Willis, Glenn M. Davis, Sherry Ruan, Lakshmi Manoharan, James A. Landay, Emma Brunskill:
Key Phrase Extraction for Generating Educational Question-Answer Pairs. 20:1-20:10
L@S Perspectives
- David A. Joyner, Charles L. Isbell Jr.:
Master's at Scale: Five Years in a Scalable Online Graduate Degree. 21:1-21:10 - Zachary A. Pardos, Hung Chau, Haocheng Zhao:
Data-Assistive Course-to-Course Articulation Using Machine Translation. 22:1-22:10 - Geoffrey Angus, Richard Diehl Martinez, Mitchell L. Stevens, Andreas Paepcke:
Via: Illuminating Academic Pathways at Scale. 23:1-23:10 - Inma Borrella, Sergio Caballero-Caballero, Eva Ponce-Cueto:
Predict and Intervene: Addressing the Dropout Problem in a MOOC-based Program. 24:1-24:9
Work in Progress Papers
- Pablo Ortiz, D. Fox Harrell:
Chimeria: Grayscale MOOC: Towards Critical Self-Reflection at Scale. 25:1-25:4 - Tomás Effenberger, Radek Pelánek:
Measuring Students' Performance on Programming Tasks. 26:1-26:4 - Erkan Er, Eduardo Gómez-Sánchez, Miguel L. Bote-Lorenzo, Juan I. Asensio-Pérez, Yannis A. Dimitriadis:
Informing the Design of Collaborative Activities in MOOCs using Actionable Predictions. 27:1-27:4 - Tomás Effenberger, Jaroslav Cechák, Radek Pelánek:
Measuring Difficulty of Introductory Programming Tasks. 28:1-28:4 - Mike Sharples, Maria Aristeidou, Christothea Herodotou, Kevin McLeod, Eileen Scanlon:
Inquiry learning at scale: pedagogy-informed design of a platform for citizen inquiry. 29:1-29:4 - Sherry Ruan, Angelica Willis, Qianyao Xu, Glenn M. Davis, Liwei Jiang, Emma Brunskill, James A. Landay:
BookBuddy: Turning Digital Materials Into Interactive Foreign Language Lessons Through a Voice Chatbot. 30:1-30:4 - Dominik Bruechner, Jan Renz, Mandy Klingbeil:
Creating a Framework for User-Centered Development and Improvement of Digital Education. 31:1-31:4 - Michael Yudelson, Yigal Rosen, Steve Polyak, Jimmy de la Torre:
Leveraging Skill Hierarchy for Multi-Level Modeling with Elo Rating System. 32:1-32:4 - Ayesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly:
Student Code Trajectories in an Introductory Programming MOOC. 33:1-33:4 - Binglin Chen, Matthew West, Craig B. Zilles:
Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks. 34:1-34:4 - Kaori Tamura, Tsuyoshi Okamoto, Misato Oi, Atsushi Shimada, Kohei Hatano, Masanori Yamada, Min Lu, Shin'ichi Konomi:
Pilot Study to Estimate "Difficult" Area in e-Learning Material by Physiological Measurements. 35:1-35:4 - Colin M. Carmon, Andrew J. Hampton, Brent Morgan, Zhiqiang Cai, Lijia Wang, Arthur C. Graesser:
Semantic Matching Evaluation of User Responses to Electronics Questions in AutoTutor. 36:1-36:4 - Min Lu, Kaori Tamura, Tsuyoshi Okamoto, Misato Oi, Atsushi Shimada, Kohei Hatano, Masanori Yamada, Shin'ichi Konomi:
Proposal and Implementation of an Elderly-oriented User Interface for Learning Support Systems. 37:1-37:4 - Denise C. Nacu, Pooja Upadhyay, Evan Skorepa, Tre Everette, Evelyn Flores, Mighel Jackson, Nichole Pinkard:
Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges. 38:1-38:4 - Li Wang, Erik Hemberg, Una-May O'Reilly:
On the Influence of Grades on Learning Behavior of Students in MOOCs. 39:1-39:4 - Denise G. Kutnick, David A. Joyner:
Synchronous at Scale: Investigation and Implementation of a Semi-Synchronous Online Lecture Platform. 40:1-40:4 - Joshua Littenberg-Tobias, José A. Ruipérez-Valiente, Justin Reich:
Impact of Free-Certificate Coupons on Learner Behavior in Online Courses: Results from Two Case Studies. 41:1-41:4 - Eric Braude, Ye Liu:
Guided-KNOWLA: The Use of Guided Unscrambling to Enhance Active Online Learning. 42:1-42:4 - Ye Xiong, Yi-fang Brook Wu:
An Automated Feedback System to Support Student Learning in Writing-to-Learn Activities. 43:1-43:4 - Changyoon Lee, Donghoon Han, Hyoungwook Jin, Alice Oh:
automaTA: Human-Machine Interaction for Answering Context-Specific Questions. 44:1-44:4 - Wayne Holmes, Stamatina Anastopoulou:
What do students at distance universities think about AI? 45:1-45:4 - Alex Duncan, David A. Joyner:
Peer Advising at Scale: Content and Context of a Learner-Owned Course Evaluation System. 46:1-46:4 - Fatima Harrak, Vanda Luengo, François Bouchet, Rémi Bachelet:
Towards Improving Students' Forum Posts Categorization in MOOCs and Impact on Performance Prediction. 47:1-47:4 - Noah Bilgrien, Roy Finkelberg, Chirag Tailor, India Irish, Girish Murali, Abhishek Mangal, Niklas Gustafsson, Sumedha Raman, Thad Starner, Rosa I. Arriaga:
PARQR: Augmenting the Piazza Online Forum to Better Support Degree Seeking Online Masters Students. 48:1-48:4 - Prableen Kaur, Agoritsa Polyzou, George Karypis:
Causal Inference in Higher Education: Building Better Curriculums. 49:1-49:4 - Sagar Biswas, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Investigating Learning Design Categorization and Learning Behaviour in Computational MOOCS. 50:1-50:4 - Aaron Green, ChengXiang Zhai:
LiveDataLab: A Cloud-Based Platform to Facilitate Hands-on Data Science Education at Scale. 51:1-51:2 - Rocko Graziano, David Benton, Sarthak Wahal, Qiuyue Xue, P. Tim Miller, Nick Larsen, Diego Vacanti, Pepper Miller, Khushhall Chandra Mahajan, Deepak Srikanth, Thad Starner:
Jack Watson: Addressing Contract Cheating at Scale in Online Computer Science Education. 52:1-52:4 - Samaa Haniya:
Developing an Intervention to Advance Learning At Scale. 53:1-53:3 - Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai:
Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation. 54:1-54:4 - Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai:
WOSView Demo: A Tool to Explore the Web of Slides. 55:1-55:3 - Rémi Sharrock, Petra Bonfert-Taylor, Mathias Hiron, Michel Blockelet, Chris Miller, Michael Goudzwaard, Ella Hamonic:
Teaching C Programming Interactively at Scale Using Taskgrader: an Open-source Autograder Tool. 56:1-56:2 - Kyung Je Jo, Hyeonggeun Yun, Juho Kim:
Supporting Instruction of Formulaic Sequences Using Videos at Scale. 57:1-57:4 - Kevin Hartman, Shun Geng Ng, Aishwarya Lakshminarasimhan, Thangamani Ramasamy, Melika Farahani, Chris Boesch:
Achievements for building a learning community. 58:1-58:4
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.