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ORCID3. L@S 2016: Edinburgh, Scotland, UK
- Jeff Haywood, Vincent Aleven, Judy Kay, Ido Roll:
Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016. ACM 2016, ISBN 978-1-4503-3726-7
Global Village
- Justin Reich, Brandon M. Stewart, Kimia Mavon, Dustin Tingley:
The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums. 1-10 - Cynthia Breazeal, Robin Morris, Stephanie Gottwald, Tinsley A. Galyean, Maryanne Wolf:
Mobile Devices for Early Literacy Intervention and Research with Global Reach. 11-20 - Ben U. Gelman, Chris Beckley, Aditya Johri, Carlotta Domeniconi, Seungwon Yang:
Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community. 21-30
Engagement
- Geza Kovacs:
Effects of In-Video Quizzes on MOOC Lecture Viewing. 31-40 - Eleanor O'Rourke, Erin Peach, Carol S. Dweck, Zoran Popovic:
Brain Points: A Deeper Look at a Growth Mindset Incentive Structure for an Educational Game. 41-50 - Frans van der Sluis, Jasper Ginn, Tim Van der Zee
:
Explaining Student Behavior at Scale: The Influence of Video Complexity on Student Dwelling Time. 51-60
Keynote Address
- Sugata Mitra:
The Future of Learning. 61-62
Learner Modelling
- José A. Ruipérez-Valiente, Giora Alexandron, Zhongzhou Chen, David E. Pritchard:
Using Multiple Accounts for Harvesting Solutions in MOOCs. 63-70 - Steven Ritter, Michael Yudelson, Stephen E. Fancsali, Susan R. Berman:
How Mastery Learning Works at Scale. 71-79 - Adam Stankiewicz, Chinmay Kulkarni:
$1 Conversational Turn Detector: Measuring How Video Conversations Affect Student Learning in Online Classes. 81-88
Work in Progress
- Boris Roussev, Pavel Simakov, John Orr, Amit Deutsch, John Cox, Michael Lenaghan, Mike Gainer:
Course Builder Skill Maps. 89-92 - Siddharth Reddy, Igor Labutov, Thorsten Joachims:
Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation. 93-96 - Stephen Cummins, Alastair R. Beresford, Ian Davies, Andrew C. Rice:
Supporting Scalable Data Sharing in Online Education. 97-100 - René F. Kizilcec, Mar Pérez-Sanagustín, Jorge J. Maldonado:
Recommending Self-Regulated Learning Strategies Does Not Improve Performance in a MOOC. 101-104 - Stephen Cummins, Alistair Stead, Lisa Jardine-Wright, Ian Davies, Alastair R. Beresford, Andrew C. Rice:
Investigating the Use of Hints in Online Problem Solving. 105-108 - Nicholas Lewkow, Jacqueline L. Feild, Neil L. Zimmerman, Mark Riedesel, Alfred Essa, David Boulanger, Jeremie Seanosky, Vive Kumar, Kinshuk, Sandhya Kode:
A Scalable Learning Analytics Platform for Automated Writing Feedback. 109-112 - Yan Wang, Korinn Ostrow, Seth Adjei, Neil T. Heffernan:
The Opportunity Count Model: A Flexible Approach to Modeling Student Performance. 113-116 - David A. Joyner, Ashok K. Goel, Charles Lee Isbell Jr.:
The Unexpected Pedagogical Benefits of Making Higher Education Accessible. 117-120 - David A. Joyner:
Expert Evaluation of 300 Projects per Day. 121-124 - Karen Swan, Scott Day, Leonard Bogle:
Metaphors for Learning and MOOC Pedagogies. 125-128 - Silvia Elena Gallagher, Timothy Savage:
Observing URL Sharing Behaviour in Massive Online Open Courses. 129-132 - Leo Leppänen, Lassi Vapaakallio, Arto Vihavainen:
Illusion of Progress is Moar Addictive than Cat Pictures. 133-136 - Jan Renz, Gerardo Navarro-Suarez, Rowshan Sathi, Thomas Staubitz, Christoph Meinel:
Enabling Schema Agnostic Learning Analytics in a Service-Oriented MOOC Platform. 137-140 - Chaohua Ou, Ashok K. Goel, David A. Joyner, Daniel F. Haynes:
Designing Videos with Pedagogical Strategies: Online Students' Perceptions of Their Effectiveness. 141-144 - Kim M. Kelly, Neil T. Heffernan:
Optimizing the Amount of Practice in an On-Line Platform. 145-148 - Igor Labutov, Kelvin Luu, Hod Lipson, Christoph Studer:
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design. 149-152 - Kristin Stephens-Martinez, An Ju, Colin Schoen, John DeNero, Armando Fox:
Identifying Student Misunderstandings using Constructed Responses. 153-156 - Jennifer S. Kay, Tyler J. Nolan, Thomas M. Grello:
The Distributed Esteemed Endorser Review: A Novel Approach to Participant Assessment in MOOCs. 157-160 - Lorenzo Vigentini, Catherine Zhao:
Evaluating the 'Student' Experience in MOOCs. 161-164 - Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim:
Personalized Adaptive Learning using Neural Networks. 165-168 - Judith Uchidiuno, Amy Ogan, Evelyn Yarzebinski, Jessica Hammer:
Understanding ESL Students' Motivations to Increase MOOC Accessibility. 169-172 - Xiang Fu, Tyler Befferman, M. David Burghardt:
LINK-REPORT: Outcome Analysis of Informal Learning at Scale. 173-176 - Elaine Farrow, Myroslava O. Dzikovska, Johanna D. Moore:
Beetle-Grow: An Effective Intelligent Tutoring System for Data Collection. 177-180 - Douglas Selent, Thanaporn Patikorn, Neil T. Heffernan:
ASSISTments Dataset from Multiple Randomized Controlled Experiments. 181-184 - Elizabeth A. McBride, Jonathan M. Vitale, Hannah Gogel, Mario M. Martinez, Zachary A. Pardos, Marcia C. Linn:
Predicting Student Learning using Log Data from Interactive Simulations on Climate Change. 185-188 - Meen Chul Kim, Thomas H. Park, Brian Lee, Sukrit Chhabra, Andrea Forte:
A Constructionist Toolkit for Learning Elementary Web Development at Scale. 189-192 - Cristóbal Romero, Rebeca Cerezo, Jose Antonio Espino, Manuel Bermúdez:
Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. 193-196 - Denise C. Nacu, Caitlin Kennedy Martin, Michael Schutzenhofer, Nichole Pinkard:
Beyond Traditional Metrics: Using Automated Log Coding to Understand 21st Century Learning Online. 197-200 - Thushari Atapattu, Katrina Falkner:
A Framework for Topic Generation and Labeling from MOOC Discussions. 201-204 - Anna Kasunic, Jessica Hammer, Robert E. Kraut, Michael Massimi, Amy Ogan:
A Preliminary Look at MOOC-associated Facebook Groups: Prevalence, Geographic Representation, and Homophily. 205-208 - Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang:
Structured Knowledge Tracing Models for Student Assessment on Coursera. 209-212 - Mingyu Feng, Jeremy Roschelle:
Predicting Students' Standardized Test Scores Using Online Homework. 213-216 - Miguel Sánchez-Santillán, M. Puerto Paule-Ruíz, Rebeca Cerezo, José Carlos Núñez:
Predicting Students' Performance: Incremental Interaction Classifiers. 217-220 - Rebecca Ferguson:
Learning at Scale: Using an Evidence Hub To Make Sense of What We Know. 221-224 - Suin Kim, Jae Won Kim, Jungkook Park, Alice Oh:
Elice: An online CS Education Platform to Understand How Students Learn Programming. 225-228 - Jennifer DeBoer, Lori Breslow:
Work in Progress: Student Behaviors Using Feedback in a Blended Physics Undergraduate Classroom. 229-232 - Taylor Martin, Sarah Brasiel, Soojeong Jeong, Kevin Close, Kevin Lawanto, Phil Janisciewcz:
Macro Data for Micro Learning: Developing the FUN! Tool for Automated Assessment of Learning. 233-236 - Kwamena Appiah-Kubi, Duncan Rowland:
PEER Support In MOOCs: The Role Of Social Presence. 237-240 - Pushkar Kolhe, Michael L. Littman, Charles L. Isbell Jr.:
Peer Reviewing Short Answers using Comparative Judgement. 241-244 - Shuchi Grover, Marie A. Bienkowski, John Niekrasz, Matthias Hauswirth:
Assessing Problem-Solving Process At Scale. 245-248 - Olga Firssova, Francis Brouns, Marco Kalz:
Designing for Open Learning: Design Principles and Scalability Affordances in Practice. 249-252 - Aneesha Bakharia:
Towards Cross-domain MOOC Forum Post Classification. 253-256 - Chase Geigle, ChengXiang Zhai:
Scaling up Online Question Answering via Similar Question Retrieval. 257-260 - Alan J. Dix:
Challenge and Potential of Fine Grain, Cross-Institutional Learning Data. 261-264 - Ruth Cobos, Silvia Gil, Angel Lareo, Francisco A. Vargas:
Open-DLAs: An Open Dashboard for Learning Analytics. 265-268 - Vitomir Kovanovic, Srecko Joksimovic, Dragan Gasevic, James Owers, Anne-Marie Scott, Amy Woodgate:
Profiling MOOC Course Returners: How Does Student Behavior Change Between Two Course Enrollments? 269-272 - Tina Papathoma, Rebecca Ferguson, Allison Littlejohn, Angela Coe:
Making the Production of Learning at Scale More Open and Flexible. 273-276 - Judith Uchidiuno, Amy Ogan, Kenneth R. Koedinger, Evelyn Yarzebinski, Jessica Hammer:
Browser Language Preferences as a Metric for Identifying ESL Speakers in MOOCs. 277-280 - Tzu-Chi Yang, Dai Ling Shih, Meng Chang Chen:
An Investigation of the Effects of Online Test Strategy on Students' Learning Behaviors. 281-284 - Dana Sheahen, David A. Joyner:
TAPS: A MOSS Extension for Detecting Software Plagiarism at Scale. 285-288 - Siddharth Reddy, Igor Labutov, Siddhartha Banerjee:
A Queueing Network Model for Spaced Repetition. 289-292 - Jiye Baek, Jesse Shore:
Promoting Student Engagement in MOOCs. 293-296 - Katherine A. Brady, Douglas H. Fisher, Gayathri Narasimham:
Exploring the Effects of Lightweight Social Incentives on Learner Performance in MOOCs. 297-300 - Tricia Ngoon, Alexander Gamero-Garrido, Scott R. Klemmer:
Supporting Peer Instruction with Evidence-Based Online Instructional Templates. 301-304 - Aditya Vishwanath, Arkadeep Kumar, Neha Kumar:
Learning about Teaching in Low-Resource Indian Contexts. 305-308 - Matthew West, Craig B. Zilles:
Modeling Student Scheduling Preferences in a Computer-Based Testing Facility. 309-312 - Vincent Aleven, Ryan S. Baker, Yuan Wang, Jonathan Sewall, Octav Popescu:
Bringing Non-programmer Authoring of Intelligent Tutors to MOOCs. 313-316 - Rika Antonova, Joe Runde, Min Hyung Lee, Emma Brunskill:
Automatically Learning to Teach to the Learning Objectives. 317-320 - Steven Tang, Joshua C. Peterson, Zachary A. Pardos:
Deep Neural Networks and How They Apply to Sequential Education Data. 321-324
Demonstrations
- Christian Rapp, Otto Kruse:
Thesis Writer (TW): Tapping Scale Effects in Academic Writing Instruction. 325-326 - Christian Rapp, Yasemin Gülbahar:
e-Tutor: Scaling Staff Development in the Area of e-Learning Competences. 327-328 - Héctor J. Pijeira Díaz, Javier Santofimia Ruiz, José A. Ruipérez-Valiente, Pedro J. Muñoz Merino, Carlos Delgado Kloos:
A Demonstration of ANALYSE: A Learning Analytics Tool for Open edX. 329-330 - Elaine Farrow, Johanna D. Moore:
Beetle-Grow: An Effective Intelligent Tutoring System to Support Conceptual Change. 331-332 - Korinn S. Ostrow, Neil T. Heffernan:
Studying Learning at Scale with the ASSISTments TestBed. 333-334 - Colin Fredericks, Glenn Lopez, Victor Shnayder, Saif Rayyan, Daniel T. Seaton:
Instructor Dashboards In EdX. 335-336 - Suin Kim, Jae Won Kim, Jungkook Park, Alice Oh:
Elivate: A Real-Time Assistant for Students and Lecturers as Part of an Online CS Education Platform. 337-338
Keynote Address
- Mike Sharples:
Effective Pedagogy at Scale: Social Learning and Citizen Inquiry. 339-340
Automated Assessment
- Mohammad Hassan Falakmasir, José P. González-Brenes, Geoffrey J. Gordon, Kristen E. DiCerbo:
A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs. 341-349 - Chase Geigle, ChengXiang Zhai, Duncan C. Ferguson:
An Exploration of Automated Grading of Complex Assignments. 351-360 - Sumukh Sridhara, Brian Hou, Jeffrey Lu, John DeNero:
Fuzz Testing Projects in Massive Courses. 361-367 - Mehdi S. M. Sajjadi, Morteza Alamgir, Ulrike von Luxburg:
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines. 369-378
Flipped Session - Crowdsourcing the Feedback
- Joseph Jay Williams, Juho Kim, Anna N. Rafferty, Samuel G. Maldonado, Krzysztof Z. Gajos, Walter S. Lasecki, Neil T. Heffernan:
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning. 379-388 - Thomas Staubitz, Dominic Petrick, Matthias Bauer, Jan Renz, Christoph Meinel:
Improving the Peer Assessment Experience on MOOC Platforms. 389-398 - David A. Joyner, Wade Ashby, Liam Irish, Yeeling Lam, Jacob Langson, Isabel Lupiani, Mike Lustig, Paige Pettoruto, Dana Sheahen, Angela Smiley, Amy S. Bruckman, Ashok K. Goel:
Graders as Meta-Reviewers: Simultaneously Scaling and Improving Expert Evaluation for Large Online Classrooms. 399-408
Flipped Session - Outside the MOOC
- Guanliang Chen, Dan Davis, Claudia Hauff, Geert-Jan Houben:
Learning Transfer: Does It Take Place in MOOCs? An Investigation into the Uptake of Functional Programming in Practice. 409-418 - Saijing Zheng, Kyungsik Han, Mary Beth Rosson, John M. Carroll:
The Role of Social Media in MOOCs: How to Use Social Media to Enhance Student Retention. 419-428
Keynote Address
- Ken Koedinger:
Practical Learning Research at Scale. 429
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