Accepted Papers

List of Accepted Papers

Full Research Papers

Validity and Reliability of Student Models for Problem-Solving Activities. Tomas Effenberger and Radek Pelánek
The impact of social norms on students' online learning behavior: Insights from two randomized controlled trials. Sebastian A. Günther
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
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
Transforming Teaching Practice: The Powerful Role of Learning Analytics Data from Online Homework. Mingyu Feng, Janet Fairman and Jeremy Roschelle
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
Co-Designing for Privacy, Transparency, and Trust in K-12 Learning Analytics. June Ahn, Fabio Campos, Ha Nguyen, Maria Hays and Jan Morrison
Transforming Everyday Information into Practical Analytics with Crowdsourced Assessment Tasks. June Ahn, Ha Nguyen, Fabio Campos and William Young
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
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
Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions. Wai-Lun Chan and Dit-Yan Yeung
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
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
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
Linguistic Skill Modeling for Second Language Acquisition. Brian Zylich and Andrew Lan
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
A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. Yun Huang, Nikki Lobczowski, J. Elizabeth Richey, Vincent Aleven and Kenneth Koedinger
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
A learning analytic approach to unveiling self-regulatory processes in learning tactics. Yizhou Fan, John Saint, Shaveen Singh, Jelena Jovanovic and Dragan Gašević
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
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
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
Modeling Consistency of Learning Patterns in Online Courses. Jianing Zhou and Suma Bhat
Staff and Student Perspectives on their Training Requirements to Engage with Learning Analytics. Geraldine Gray, Ana Schalk, Pauline Rooney and Charles Lang
A network analytic approach to integrating multiple quality measures for asynchronous online discussions. Elaine Farrow, Johanna Moore and Dragan Gasevic
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
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
Investigating Student Reflection during Game-Based Learning in Middle Grades Science. Dan Carpenter, Elizabeth Cloude, Jonathan Rowe, Roger Azevedo and James Lester
Examining Student Effort on Help through Response Time Decomposition. Ashish Gurung, Anthony F. Botelho and Neil T. Heffernan
A Deep Transfer Learning Approach to Automated Teacher Discourse Feedback. Emily Jensen, Samuel L. Pugh and Sidney K. D'Mello
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
Variational Deep Knowledge Tracing for Language Learning. Sherry Ruan
Consolidated Process Mining to Analyse Self-Regulated Learning. John Saint, Yizhou Fan, Shaveen Singh, Dragan Gasevic and Abelardo Pardo
Beyond First Encounters with Analytics: Questions, Techniques and Challenges in Instructors’ Sensemaking. Qiujie Li, Yeonji Jung and Alyssa Wise
Learning Skill Equivalencies Across Platform Taxonomies. Zhi Li, Cheng Ren, Xianyou Li and Zachary Pardos
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
Building Interpretable Student Models for Personalized Support in an Open-Ended Learning Environment for Computational Thinking. Sebastien Lalle, Özge Nilay Yalçın and Cristina Conati
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
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
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
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
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
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

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
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
Leveraging Courseware Engagement Data to Improve Student Success. Maureen Guarcello, James Frazee, Asa Levi, Jason Lokkesmoe and Tristan Hillis
Personalized Learning Analytics-Based Feedback on a Self-Paced Online Course. Joonas A Pesonen, Outi-Maaria Palo-Oja and Kwok Ng
Supporting Study Behavior with the THERMOS Learning Analytics Dashboard. Lars de Vreugd, Renée Jansen, Anouschka van Leeuwen, Sergey Sosnovsky and Marieke van der Schaaf
iFest 2020: Learning Analytics of a virtual event. Biljana Presnall
Enhancing AI-enabled Adaptive Learning System with Sub-skills Modelling. Ioana Ghergulescu and Conor O'Sullivan
Developing Ontology-Based Item Difficulty Metrics for Automated Item Generation. Sean Shiverick, Jennifer Harvey, Terry Patten, Clarence Dillon, Juan Carlos Batarse and Mike Smith
The Mitigating Grade Surprise Project. Robinson Jennifer, Logan Paul, Jill Robinson, John Arthos, Ken Shan, Tracy Whelan, Amy Berndtson, George Rehrey and Aya Shotatee
Guiding Principles and Strategies for Learning Analytics Implementation focused on Equity. Kristen Fox, Avleen Makkar and Justin Dellinger

Short Research Papers

Using Marginal Models to Analyze Transitions in Sequential Data. Jeffrey Matayoshi and Shamya Karumbaiah
Learning to Work in a Materials Recovery Facility (MRF): Can Humans and Machines Learn from Each Other? Harrison Kyriacou, Anand Ramakrishnan and Jacob Whitehill
Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks. Yupei Zhang, Rui An, Jiaqi Cui and Xuequn Shang
Why Birds of Feather Flock Together: Factors Triaging Students in Online Forums. Oleksandra Poquet
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
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
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction. Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim and Youngduck Choi
Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach. Solmaz Abdi, Hassan Khosravi and Shazia Sadiq
Early Alert Systems During a Pandemic: A Simulation Study on the Impact of Concept Drift. Yang Xu and Kevin Wilson
Student appreciation of data-driven feedback: A pilot study on OnTask. Yi-Shan Tsai, Rafael Ferreira Mello, Jelena Jovanović and Dragan Gašević
Explorations of Designing Spatial Classroom Analytics with Virtual Prototyping. Jiwoong Jang, Jaewook Lee, Vanessa Echeverria, Luettamae Lawrence and Vincent Aleven
Examining the Links between Log Data and Reflective Problem-solving Practices in An Interactive Task. Karen Wang, Krishnan Nair and Carl Wieman
Facilitators First: Building a Tool With Facilitators to Foster a More Collaborative Makerspace Community Through Movement Traces. Léonore V. Guillain and Bertrand Schneider
Longitudinal Clusters of Online Educator Portal Access: Connecting Educator Behavior to Student Outcomes. Kirk Vanacore, Kevin Dieter, Lisa Hurwitz and Jamie Studwell
An Exact Algorithm for Group Formation to Promote Collaborative Learning. Zhiru Sun and Marco Chiarandini
Timing of Support in One-on-one Math Problem Solving Coaching: A Survival Analysis Approach with Multimodal Data. Lujie Chen
Who wins, who learns? Exploring gameful pedagogy as a technique to supportstudent differences. Caitlin Hayward, Kyle Schulz and Barry Fishman
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
Yet Another Predictive Model? Fair Predictions of Students’ Learning Outcomes in an Online Math Learning Platform. Chenglu Li, Wanli Xing and Walter Leite
Multimodal Data Collection Made Easy: The EZ-MMLA Toolkit. Javaria Hassan, Jovin Leong and Bertrand Schneider
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
Monitoring Students’ Time Allocation to Different Course Activities in Higher Education. Isabel Hilliger, Constanza Miranda, Gregory Schuit, Fernando Duarte, Martin Anselmo and Denis Parra
Which one's more work? Predicting effective credit hours between courses. Shruthi Chockkalingam, Run Yu and Zach Pardos
Toward Semi-Automatic Misconception Discovery Using Code Embeddings. Yang Shi, Krupal Shah, Wengran Wang, Samiha Marwan, Poorvaja Penmetsa and Thomas Price
Studying with Learners’ Own Music: Preliminary Findings on Concentration and Task Load. Fanjie Li, Zuo Wang, Jeremy Tzi Dong Ng and Xiao Hu
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
Metadata Analysis of Open Educational Resources. Mohammadreza Tavakoli, Mirette Elias, Gabor Kismihok and Soren Auer
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
A Subversive Stance for Learning Analytics. Alyssa Wise, Juan Sarmiento and Maurice Boothe

Doctoral Consortium

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

Posters and Demos - coming soon!