Accepted Papers

List of Accepted Papers

Full Research Papers

  1. Validity and Reliability of Student Models for Problem-Solving Activities. Tomas Effenberger and Radek Pelánek
  2. The impact of social norms on students' online learning behavior: Insights from two randomized controlled trials. Sebastian A. Günther
  3. Seeding Course Forums using the Teacher-in-the-Loop. Einat Shusterman, Kobi Gal, Marc Facciotti, Michele Igo, Avi Segal, Hyunsoo Gloria Kim, Kamali Sripathi and David Karger
  4. Charting the Design and Analytics Agenda of Learnersourcing Systems: Data-Driven Reflections and Lessons Learned from Implementation of a Learnersourced Adaptive Educational System. Hassan Khosravi, Gianluca Demartini, Shazia Sadiq and Dragan Gasevic
  5. Transforming Teaching Practice: The Powerful Role of Learning Analytics Data from Online Homework. Mingyu Feng, Janet Fairman and Jeremy Roschelle
  6. Footprints at School: Modelling In-class Social Dynamics from Students' Physical Positioning Traces. Lixiang Yan, Dragan Gasevic, Beatriz Gallo Cordoba, Joanne Deppeler, Deborah Corrigan, Gloria Fernandez Nieto and Roberto Martinez-Maldonado
  7. Co-Designing for Privacy, Transparency, and Trust in K-12 Learning Analytics. June Ahn, Fabio Campos, Ha Nguyen, Maria Hays and Jan Morrison
  8. Transforming Everyday Information into Practical Analytics with Crowdsourced Assessment Tasks. June Ahn, Ha Nguyen, Fabio Campos and William Young
  9. The impact of automatic text translation on classification of online discussions for social and cognitive presences. Arthur Diego, Máverick André Dionísio Ferreira, Rafael Ferreira Mello, Rafael Lins and Dragan Gasevic
  10. Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic and James Bailey
  11. Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. Wai-Lun Chan and Dit-Yan Yeung
  12. Measuring the Impact of COVID-19 Induced Campus Closure on Student Self-Regulated Learning in Physics Online Learning Modules. Tom Zhang, Zhongzhou Chen and Michelle Taub
  13. What You Do Predicts How You Do: Prospectively Modeling Student Quiz Performance Using Activity Features in an Online Learning Environment. Emily Jensen, Tetsumichi Umada, Nicholas C. Hunkins, Stephen Hutt, Anne Corinne Huggins-Manley and Sidney K. D'Mello
  14. What Classroom Audio Tells About Teaching: A Cost-effective Approach for Detection of Teaching Practices Using Spectral Audio Features. Danner Schlotterbeck, Pablo Uribe, Roberto Araya, Abelino Jimenez and Daniela Caballero
  15. Linguistic Skill Modeling for Second Language Acquisition. Brian Zylich and Andrew Lan
  16. Using Past Data to Warm Start Active Machine Learning: Does Context Matter?   Shamya Karumbaiah, Andrew Lan, Sachit Nagpal, Ryan Baker, Anthony Botelho and Neil Heffernan
  17. A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. Yun Huang, Nikki Lobczowski, J. Elizabeth Richey, Vincent Aleven and Kenneth Koedinger
  18. Developing an in-application shared view metric to capture collaborative learning in a multi-platform astronomy simulation. Morgan Diederich, Jina Kang, Taehyun Kim and Robb Lindgren
  19. A learning analytic approach to unveiling self-regulatory processes in learning tactics.  Yizhou Fan, John Saint, Shaveen Singh, Jelena Jovanovic and Dragan Gašević
  20. Theory-based learning analytics to explore student engagement patterns in a peer review activity.  Erkan Er, Cristina Villa-Torrano, Yannis Dimitriadis, Dragan Gasevic, Miguel L. Bote-Lorenzo, Juan I. Asensio-Pérez, Eduardo Gómez-Sánchez and Alejandra Martínez Monés
  21. A Social Network Analysis of Online Engagement for College Students Traditionally Underrepresented in STEM. Destiny Williams-Dobosz, Renato Azevedo, Amos Jeng, Vyom Thakkar, Suma Bhat, Nigel Bosch and Michelle Perry
  22. Analyzing the Efficacy of CLIC in Supporting Gateway Course Success Through Tailored Support.  Rebecca Matz, Kyle Schulz, Elizabeth Hanley, Holly Derry, Benjamin Hayward, Benjamin Koester, Caitlin Hayward and Timothy McKay
  23. Modeling Consistency  of Learning Patterns in Online Courses. Jianing Zhou and Suma Bhat
  24. Staff and Student Perspectives on their Training Requirements to Engage with Learning Analytics. Geraldine Gray, Ana Schalk, Pauline Rooney and Charles Lang
  25. A network analytic approach to integrating multiple quality measures for asynchronous online discussions. Elaine Farrow, Johanna Moore and Dragan Gasevic
  26. Integrating Instructional Design and Real-Time Self-Reported Behaviours to Identify Self-Regulatory Phases from LMS Trace Data. Fatemeh Salehian Kia, Marek Hatala and Stephanie Teasley
  27. Investigating the Well-being Impacts of Educational Technologies Supported by Learning Analytics: An application of the initial phase of IEEE P7010 recommended practice to a set of cases. Eyad Hakami and Davinia Hernandez-Leo
  28. Investigating Student Reflection during Game-Based Learning in Middle Grades Science. Dan Carpenter, Elizabeth Cloude, Jonathan Rowe, Roger Azevedo and James Lester
  29. Examining Student Effort on Help through Response Time Decomposition. Ashish Gurung, Anthony F. Botelho and Neil T. Heffernan
  30. A Deep Transfer Learning Approach to Automated Teacher Discourse Feedback. Emily Jensen, Samuel L. Pugh and Sidney K. D'Mello
  31. Using Clickstream Data Mining Techniques to Understand and Support First-Generation College Students in an Online Chemistry Course.  Fernando Rodriguez, Hye Rin Lee, Teomara Rutherford, Christian Fischer, Eric Potma and Mark Warschauer
  32. Variational Deep Knowledge Tracing for Language Learning. Sherry Ruan
  33. Consolidated Process Mining to Analyse Self-Regulated Learning. John Saint, Yizhou Fan, Shaveen Singh, Dragan Gasevic and Abelardo Pardo
  34. Beyond First Encounters with Analytics: Questions, Techniques and Challenges in Instructors’ Sensemaking. Qiujie Li, Yeonji Jung and Alyssa Wise
  35. Learning Skill Equivalencies Across Platform Taxonomies. Zhi Li, Cheng Ren, Xianyou Li and Zachary Pardos
  36. Impact of learning analytics feedback on self-regulated learning: Triangulating behavioural logs with students’ recall. Lisa-Angelique Lim, Dragan Gasevic, Wannisa Matcha, Nora'Ayu Ahmad Uzir and Shane Dawson
  37. Building Interpretable Student Models for Personalized Support in an Open-Ended Learning Environment for Computational Thinking. Sebastien Lalle, Özge Nilay Yalçın and Cristina Conati
  38. Modelling Spatial Behaviours in Clinical Team Simulations using Epistemic Network Analysis: Methodology and Teacher Evaluation. Gloria Milena Fernandez-Nieto, Roberto Martinez-Maldonado, Kirsty Kitto and Simon Buckingham Shum
  39. Recommendation for Effective Standardized Exam Preparation. Hyunbin Loh, Dongmin Shin, Seewoo Lee, Jineon Baek, Chanyou Hwang, Youngnam Lee, Yeongmin Cha, Soonwoo Kwon, Juneyoung Park and Youngduck Choi
  40. Detecting Disruptive Talk in Student Chat-Based Discussion Within Collaborative Game-Based Learning Environments. Kyungjin Park, Hyunwoo Sohn, Bradford Mott, Wookhee Min, Asmalina Saleh, Krista Glazewski, Cindy Hmelo-Silver and James Lester
  41. The Quantum of Choice: How learners’ feedback monitoring decisions, goals and self-regulated learning skills are related. Ioana Jivet, Jacqueline Wong, Maren Scheffel, Manuel Valle Torre, Marcus Specht and Hendrik Drachsler
  42. Skills Matter: Modeling the relationship between decision-making processes and collaborative problem-solving skills during Hidden Profile Tasks. Yiwen Lin, Nia Dowell and Andrew Godfrey
  43. Do Instrumentation Tools Capture Self-Regulated Learning? Joep van der Graaf, Inge Molenaar, Lyn Lim, Bannert Maria, Yizhou Fan, Jonathan Kilgour, Johanna Moore and Dragan Gasevic


Practitioner Reports

  1. Learning Analytics in the Context of COVID-19: A Case Study of Using Network Analysis to Guide Campus Reopening Plans.  Gina Deom, Stefano Fiorini, Linda Shepard and Julie Teague
  2. Diffusion and co-creation: Getting faculty on board a platform to personalize learning and connect with students. Danny Y.T. Liu, Natasha Arthars, Nabeel Mahmood Khan, Christopher Pidd and Judy Kay
  3. Leveraging Courseware Engagement Data to Improve Student Success. Maureen Guarcello, James Frazee, Asa Levi, Jason Lokkesmoe and Tristan Hillis
  4. Personalized Learning Analytics-Based Feedback on a Self-Paced Online Course. Joonas A Pesonen, Outi-Maaria Palo-Oja and Kwok Ng
  5. Supporting Study Behavior with the THERMOS Learning Analytics Dashboard. Lars de Vreugd, Renée Jansen, Anouschka van Leeuwen, Sergey Sosnovsky and Marieke van der Schaaf
  6. iFest 2020: Learning Analytics of a virtual event. Biljana Presnall
  7. Enhancing AI-enabled Adaptive Learning System with Sub-skills Modelling. Ioana Ghergulescu and Conor O'Sullivan
  8. Developing Ontology-Based Item Difficulty Metrics for Automated Item Generation.   Sean Shiverick, Jennifer Harvey, Terry Patten, Clarence Dillon, Juan Carlos Batarse and Mike Smith
  9. The Mitigating Grade Surprise Project. Robinson Jennifer, Logan Paul, Jill Robinson, John Arthos, Ken Shan, Tracy Whelan, Amy Berndtson, George Rehrey and Aya Shotatee
  10. Guiding Principles and Strategies for Learning Analytics Implementation focused on Equity.  Kristen Fox, Avleen Makkar and Justin Dellinger


Short Research Papers

  1. Using Marginal Models to Analyze Transitions in Sequential Data. Jeffrey Matayoshi and Shamya Karumbaiah
  2. Learning to Work in a Materials Recovery Facility (MRF): Can Humans and Machines Learn from Each Other? Harrison Kyriacou, Anand Ramakrishnan and Jacob Whitehill
  3. Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks. Yupei Zhang, Rui An, Jiaqi Cui and Xuequn Shang
  4. Why Birds of Feather Flock Together: Factors Triaging Students in Online Forums.  Oleksandra Poquet
  5. Learning Analytics as a Service for Empowered Learners. From Data Subjects to Controllers. Nicole Gosch, David Andrews, Carla Barreiros, Philipp Leitner, Elisabeth Staudegger, Martin Ebner and Stefanie Lindstaedt
  6. A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning. Raphael A. Dourado, Rodrigo Lins Rodrigues, Katrien Verbert, Nivan Ferreira, Rafael Ferreira Mello and Alex Sandro Gomes
  7. SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim and Youngduck Choi
  8. Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach. Solmaz Abdi, Hassan Khosravi and Shazia Sadiq
  9. Early Alert Systems During a Pandemic: A Simulation Study on the Impact of Concept Drift. Yang Xu and Kevin Wilson
  10. Student appreciation of data-driven feedback: A pilot study on OnTask. Yi-Shan Tsai, Rafael Ferreira Mello, Jelena Jovanović and Dragan Gašević
  11. Explorations of Designing Spatial Classroom Analytics with Virtual Prototyping. Jiwoong Jang, Jaewook Lee, Vanessa Echeverria, Luettamae Lawrence and Vincent Aleven
  12. Examining the Links between Log Data and Reflective Problem-solving Practices in An Interactive Task. Karen Wang, Krishnan Nair and Carl Wieman
  13. Facilitators First: Building a Tool With Facilitators to Foster a More Collaborative Makerspace Community Through Movement Traces.  Léonore V. Guillain and Bertrand Schneider
  14. Longitudinal Clusters of Online Educator Portal Access: Connecting Educator Behavior to Student Outcomes.  Kirk Vanacore, Kevin Dieter, Lisa Hurwitz and Jamie Studwell
  15. An Exact Algorithm for Group Formation to Promote Collaborative Learning. Zhiru Sun and Marco Chiarandini
  16. Timing of Support in One-on-one Math Problem Solving Coaching: A Survival Analysis Approach with Multimodal Data. Lujie Chen
  17. Who wins, who learns? Exploring gameful pedagogy as a technique to supportstudent differences. Caitlin Hayward, Kyle Schulz and Barry Fishman
  18. How Did You Get that A? Selectivity’s Role in Rising Undergraduate Grades at a Large Public University. August Evrard, Kyle Schulz and Caitlin Hayward
  19. Yet Another Predictive Model? Fair Predictions of Students’ Learning Outcomes in an Online Math Learning Platform. Chenglu Li, Wanli Xing and Walter Leite
  20. Multimodal Data Collection Made Easy: The EZ-MMLA Toolkit. Javaria Hassan, Jovin Leong and Bertrand Schneider
  21. Detecting High Orders of Cognitive Complexity in Students’ Reasoning in Argumentative Writing About Ocean Acidification. Blair Winograd, Amber Dood, Robert Moeller, Alena Moon, Anne Gere and Ginger Shultz
  22. Monitoring Students’ Time Allocation to Different Course Activities in Higher Education.  Isabel Hilliger, Constanza Miranda, Gregory Schuit, Fernando Duarte, Martin Anselmo and Denis Parra
  23. Which one's more work? Predicting effective credit hours between courses. Shruthi Chockkalingam, Run Yu and Zach Pardos
  24. Toward Semi-Automatic Misconception Discovery Using Code Embeddings. Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa and Thomas Price
  25. Studying with Learners’ Own Music: Preliminary Findings on Concentration and Task Load. Fanjie Li, Zuo Wang, Jeremy Tzi Dong Ng and Xiao Hu
  26. Automatic Student Writing Evaluation: Investigating the Impact of Individual Differences on Source-Based Writing. Püren Öncel, Lauren E. Flynn, Allison N. Sonia, Kennis E. Barker, Grace C. Lindsay, Caleb M. McClure, Danielle S. McNamara and Laura K. Allen
  27. Metadata Analysis of Open Educational Resources. Mohammadreza Tavakoli, Mirette Elias, Gabor Kismihok and Soren Auer
  28. Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course. Huy Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr and John Stamper
  29. A Subversive Stance for Learning Analytics. Alyssa Wise, Juan Sarmiento and Maurice Boothe


Doctoral Consortium

  1. Evaluating the acquisition of 21st century skills within online educational settings: A data-driven psychometrics approach.  Abhinava Barthakur
  2. Exploring the Temporal & Sequential Changes of Self, Co and Socially Shared Regulation in Online Collaborative Learning Environment: A Learning Analytics Approach. Muhammad Azani Hasibuan
  3. Classification and Clustering in Innovation-Based Learning: from Pilot Study to Practice.  Lauren Singelmann
  4. Predicting Student Performance in an Accounting Course with Usage Data from Gamified Learning App. Julian Langenhagen
  5. From Recipients to Learners: Unpacking Student Engagement with Learning Analytics in Higher Education. Yeonji Jung
  6. Using Computational Methods to Investigate Communicative Patterns in Educational Feedback. Jionghao Lin
  7. Towards clinical practice analytics: visualising repurposed routinely collected clinical indicator data to support reflection. Bernard Bucalon
  8. Building theory-informed learning analytics to understand and intervene in Socially-Shared Regulation of Learning. Cristina Villa-Torrano


Posters and Demos - coming soon!



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