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ORCID7th L@S 2020: Virtual Event, USA
- David A. Joyner, René F. Kizilcec, Susan Singer:
L@S'20: Seventh ACM Conference on Learning @ Scale, Virtual Event, USA, August 12-14, 2020. ACM 2020, ISBN 978-1-4503-7951-9
Keynote
- Katie Davis:
What My Little Pony Can Teach Us About Interest-Driven Learning. 1
Session 1
- Justin Reich:
Two Stances, Three Genres, and Four Intractable Dilemmas for the Future of Learning at Scale. 3-13 - David A. Joyner, Qiaosi Wang, Suyash Thakare, Shan Jing, Ashok K. Goel, Blair MacIntyre:
The Synchronicity Paradox in Online Education. 15-24 - David S. Park, Robert W. Schmidt, Charankumar Akiri, Stephanie Kwak, David A. Joyner:
Affordable Degrees at Scale: New Phenomenon or New Hype? 25-35
Session 2
- Meng Xia
, Yuya Asano, Joseph Jay Williams, Huamin Qu, Xiaojuan Ma:
Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning. 37-49 - Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn:
Studying Retrieval Practice in an Intelligent Tutoring System. 51-62 - Qiaosi Wang, Shan Jing, David A. Joyner, Lauren Wilcox, Hong Li, Thomas Plötz, Betsy DiSalvo:
Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts. 63-76 - Benjamin Xie, Greg L. Nelson, Harshitha Akkaraju, William Kwok, Amy J. Ko:
The Effect of Informing Agency in Self-Directed Online Learning Environments. 77-89
Session 3
- Will Hudgins, Michael Lynch, Ash Schmal, Harsh Sikka, Michael Swenson, David A. Joyner:
Informal Learning Communities: The Other Massive Open Online 'C'. 91-101 - Chris Piech, Lisa Yan, Lisa Einstein, Ana Saavedra, Baris Bozkurt, Eliska Sestáková, Ondrej Guth, Nick McKeown:
Co-Teaching Computer Science Across Borders: Human-Centric Learning at Scale. 103-113 - Thanaporn Patikorn, Neil T. Heffernan:
Effectiveness of Crowd-Sourcing On-Demand Assistance from Teachers in Online Learning Platforms. 115-124 - India Irish, Roy Finkelberg, Daniel Nkemelu, Swar Gujrania, Aadarsh Padiyath, Sumedha Raman, Chirag Tailor, Rosa I. Arriaga, Thad Starner:
PARQR: Automatic Post Suggestion in the Piazza Online Forum to Support Degree Seeking Online Masters Students. 125-134
Session 4
- Hao Shen, Leming Liang, Nancy Law, Erik Hemberg, Una-May O'Reilly:
Understanding Learner Behavior Through Learning Design Informed Learning Analytics. 135-145 - Tobias Rohloff, Dominic Sauer, Christoph Meinel:
Students' Achievement of Personalized Learning Objectives in MOOCs. 147-156 - René F. Kizilcec, Maximillian Chen:
Student Engagement in Mobile Learning via Text Message. 157-166
Session 5
- Chris Piech, Sami Abu-El-Haija:
Human Languages in Source Code: Auto-Translation for Localized Instruction. 167-174 - Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, Jack Mostow:
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study. 175-183 - Serhat Arslan, Mo Tiwari, Chris Piech:
Using Google Search Trends to Estimate Global Patterns in Learning. 185-195 - Binglin Chen, Sushmita Azad, Maxwell Fowler, Matthew West, Craig B. Zilles:
Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time. 197-206
Workshops
- Barbara Conde Gafaro, Hilal Seda Yildiz:
Supporting Learners' Self-regulation in LMOOCs: What Have We Done and How Far We Can Go? 207-209 - Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price:
Building an Infrastructure for Computer Science Education Research and Practice at Scale. 211-213 - Kyoungwon Seo, Sidney S. Fels, Dongwook Yoon, Ido Roll, Samuel Dodson, Matthew Fong:
Artificial Intelligence for Video-based Learning at Scale. 215-217 - Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Burr Settles, Phillip Grimaldi, Derek Lomas:
Workshop Proposal: Educational A/B Testing at Scale. 219-220 - Erin Czerwinski, Jim Goodell, Robert A. Sottilare, Ellen Wagner:
Learning Engineering @ Scale. 221-223 - Christopher Brooks, René F. Kizilcec, Nia Dowell:
Designing Inclusive Learning Environments. 225-228 - David A. Joyner, May Kristine Jonson Carlon, Jeffrey S. Cross, Eduardo Corpeño, Rocael Hernández Rizzardini, Oscar Rodas, Dhawal Shah, Manoel Cortes Mendez, Thomas Staubitz, José A. Ruipérez Valiente:
Global Learning @ Scale. 229-232 - Crystal Jing Luo, Victor Yiu Lun Wong, Donn Emmanuel Gonda:
Code Free Chatbot Development: An Easy Way to Jumpstart Your Chatbot! 233-235
Work-in-Progress/Demonstration Session
- Muffie Wiebe Waterman, Dennis C. Frezzo, Michael X. Wang:
Adaptive Learning using Finite State Machine Logic. 237-240 - Youjie Chen, René F. Kizilcec:
Examining Sources of Variation in Student Confusion in College Classes. 241-244 - Steven Moore, Huy Anh Nguyen, John C. Stamper:
Towards Crowdsourcing the Identification of Knowledge Components. 245-248 - Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. 249-252 - Avner Kantor, Sheizaf Rafaeli:
Open PISA: Dashboard for Large Educational Dataset. 253-256 - Eileen Scanlon, Christothea Herodotou, Mike Sharples, Kevin McLeod:
nQuire: Citizens Acting as Scientists in Massive Open Online Learning. 257-260 - Raghav Apoorv, Akshay Dahiya, Uma Sreeram, Bharat Rahuldhev Patil, India Irish, Rocko Graziano, Thad Starner:
Examinator: A Plagiarism Detection Tool for Take-Home Exams. 261-264 - Chris Edwards, Mark Gaved:
Understanding Student Experience: A Pathways Model. 265-268 - Anastasia Kovalkov, Avi Segal, Kobi Gal:
Inferring Creativity in Visual Programming Environments. 269-272 - Jeongmin Byun, Jungkook Park, Alice Oh:
Detecting Contract Cheaters in Online Programming Classes with Keystroke Dynamics. 273-276 - Anish Khazane, Jia Mao, India Irish, Rocko Graziano, Thad Starner:
BELT: Bluejeans codE Leak deTection. 277-280 - Hannah Burd, Ana Bell, Erik Hemberg, Una-May O'Reilly:
Analyzing Pre-Existing Knowledge and Performance in a Programming MOOC. 281-284 - Xinyi Ding, Eric C. Larson:
Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning. 285-288 - Tina Papathoma, Rebecca Ferguson, Francisco Iniesto, Irina Rets, Dimitrios Vogiatzis, Victoria Murphy:
Guidance on How Learning at Scale Can be Made More Accessible. 289-292 - Noah Weaverdyck, Dhayaa Anbajagane, August E. Evrard:
Differential Assessment, Differential Benefit: Four-year Problem Roulette Analysis of STEM Practice Study. 293-296 - Carl C. Haynes:
The Role of Self-Regulated Learning in the Design, Implementation, and Evaluation of Learning Analytics Dashboards. 297-300 - Philip J. Guo, Julia M. Markel, Xiong Zhang:
Learnersourcing at Scale to Overcome Expert Blind Spots for Introductory Programming: A Three-Year Deployment Study on the Python Tutor Website. 301-304 - Ha Nguyen, June Ahn, William Young, Fabio Campos:
Where's the Learning in Education Crowdsourcing? 305-308 - Shawn Staudaher, Jeonghyun Lee, Farahnaz Soleimani:
Predicting Applicant Admission Status for Georgia Tech's Online Master's in Analytics Program. 309-312 - David A. Joyner:
Peripheral and Semi-Peripheral Community: A New Design Challenge for Learning at Scale. 313-316 - Anneli Lefranc, David A. Joyner:
SAGA: Curricula Optimization. 317-320 - Bhavya, ChengXiang Zhai:
Explanation Mining. 321-324 - Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation. 325-328 - Ashank Verma, Timothy Bretl, Matthew West, Craig B. Zilles:
A Quantitative Analysis of When Students Choose to Grade Questions on Computerized Exams with Multiple Attempts. 329-332 - Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Neelesh Gattani, Dawn Zimmaro:
Cold Start Knowledge Tracing with Attentive Neural Turing Machine. 333-336 - Glenn M. Davis, Abdallah A. AbuHashem, David Lang, Mitchell L. Stevens:
Identifying Preparatory Courses that Predict Student Success in Quantitative Subjects. 337-340 - Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo:
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing. 341-344 - Robert Gold, Erik Hemberg, Una-May O'Reilly:
Analyzing K-12 Blended MOOC Learning Behaviors. 345-348 - Thomas Staubitz, Hanadi Traifeh, Salim Chujfi, Christoph Meinel:
Have Your Tickets Ready! Impede Free Riding in Large Scale Team Assignments. 349-352 - Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
A Novel Approach for Knowledge State Representation and Prediction. 353-356 - Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior. 357-360 - Vrinda Nandan, Andrew Spittlemeister, Federico Brubacher:
Pixasso: A Development Stage-Based Learning Application for Children. 361-364 - Michael Yen, Sergey Karayev, Eric Wang:
Analysis of Grading Times of Short Answer Questions. 365-368 - Yigal Rosen, Kristin Stoeffler, Michael Yudelson, Vanessa R. Simmering:
Towards Scalable Gamified Assessment in Support of Collaborative Problem-Solving Competency Development in Online and Blended Learning. 369-372 - Elizabeth Borneman, Joshua Littenberg-Tobias, Justin Reich:
Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale. 373-376 - Zachary Phillips-Gary:
Locabulary: A Context Sensitive Mixed Reality Flashcard Alternative for Second Language Learning. 377-379 - Assma Boughoula, Aidan San, ChengXiang Zhai:
Leveraging Book Indexes for Automatic Extraction of Concepts in MOOCs. 381-384 - Effat Farhana, Teomara Rutherford, Collin F. Lynch:
Understanding Reading Behaviors of Middle School Students. 385-388 - Kabdo Choi, Sally Chen, Hyungyu Shin, Jinho Son, Juho Kim:
AlgoPlan: Supporting Planning in Algorithmic Problem-Solving with Subgoal Diagrams. 389-392 - Zilong Pan, Chenglu Li, Min Liu:
Learning Analytics Dashboard for Problem-based Learning. 393-396 - Sandra Schulz, Andreas Lingnau:
An Evidence-Based Learner Model for Supporting Activities in Robotics. 397-400 - May Kristine Jonson Carlon, Nopphon Keerativoranan, Jeffrey S. Cross:
Content Type Distribution and Readability of MOOCs. 401-404 - Ian Kerman:
The Effectiveness of Multiple-Choice Type Flashcards for the Identification of Fish Species. 405-408 - Julianna Zhuxin Jia, Gulsen Kutluoglu, Chuong B. Do:
Automated Generation of Learning Paths at Scale. 409-412 - Catherine Kung, Renzhe Yu:
Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success. 413-416 - Kabir Abdulmajeed, David A. Joyner, Christine A. McManus:
Challenges of Online Learning in Nigeria. 417-420 - Al-Ahad Ekram:
Understanding the Implications of the Use of Intelligent Tutoring Systems in Driver Training. 421-424 - Andrew Schwabe:
Demo of JARET: A.I. Powered Web App for Goal Review and Time Management. 425-426 - Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani, Josh Walker:
Introducing Alexa for E-learning. 427-428
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