Accepted Papers

• Full Research Papers
• Short Research Papers
• Practitioner Presentations
• Doctoral Consortium
• Posters

Full Research Papers

• Heeryung Choi, Nia Dowell, Christopher Brooks and Stephanie Teasley. Social Comparison in MOOCs: Perceived SES, Opinion, and Message Formality
• Christopher Krauss, Agathe Merceron and Stefan Arbanowski. The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems in Closed-Course Environments
• Ed Fincham, Alexander Whitelock-Wainwright, Vitomir Kovanovic, Srecko Joksimovic, Jan-Paul van Staalduinen and Dragan Gasevic. Counting Clicks is Not Enough: Validating a Theorized Model of Engagement in Learning Analytics
• Daniele Di Mitri, Jan Schneider, Roland Klemke, Marcus Specht and Hendrik Drachsler. Read Between the Lines: An Annotation Tool for Multimodal Data for Learning
• Sahba Akhavan Niaki, Clint Pazhayidam George, George Michailidis and Carole Beal. The Impact of an Online Tutoring Program for Algebra Readiness on Mathematics Achievements; Results of a Randomized Experiment
• Charlotte Larmuseau, Pieter Vanneste, Piet Desmet and Fien Depaepe. Multichannel data for understanding cognitive affordances during complex problem solving
• Elaine Farrow, Johanna Moore and Dragan Gasevic. Analysing discussion forum data: a replication study avoiding data contamination
• Inge Molenaar, Anne Horvers and Ryan Baker. Towards Hybrid Human-System Regulation: Understanding Children’ SRL Support Needs in Blended Classrooms
• Yanbang Wang, Nancy Law, Erik Hemberg and Una-May O’Reilly. Using Detailed Access Trajectories for Learning Behavior Analysis
• Jelena Jovanovic, Dragan Gasevic, Abelardo Pardo, Shane Dawson and Alexander Whitelock-Wainwright. Introducing meaning to clicks: Towards traced-measures of self-efficacy and cognitive load
• Sara Morsy and George Karypis. A Study on Curriculum Planning and Its Relationship with Academic Performance in Undergraduate Institutions
• Shane Dawson, Srecko Joksimovic, Sasha Poquet and George Siemens. Increasing the Impact of Learning Analytics
• Antonette Shibani, Simon Knight and Simon Buckingham Shum. Contextualizable Learning Analytics Design: A Generic Model, and Writing Analytics Evaluations
• Jinseok Lee and Dit-Yan Yeung. Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills
• Wannisa Matcha, Dragan Gasevic, Nora’Ayu Ahmad Uzir, Jelena Jovanovic and Abelarado Pardo. Analytics of Learning Strategies: Associations with Academic Performance and Feedback
• Sahba Akhavan Niaki, Clint Pazhayidam George, George Michailidis and Carole Beal. Investigating the Usage Patterns of an Online Tutoring Platform
• Benjamin Motz, Joshua Quick, Noah Schroeder, Jordon Zook and Matthew Gunkel. The validity and utility of activity logs as a measure of student engagement
• Varshita Sher, Marek Hatala and Dragan Gasevic. On multi-device use: Using technological modality profiles to explain differences in students’ learning
• Josh Gardner, Christopher Brooks and Ryan Baker. Evaluating the Fairness of Predictive Student Models Through Slicing Analysis
• Joon Heo, Hyoungjoon Lim, Sung Bum Yun, Sungha Ju and Sangyoon Park. Descriptive and Predictive Modeling of Student Achievement, Satisfaction, and Mental Health for Data-Driven Smart Connected Campus Life Service
• Ed de Quincey, Chris Briggs, Theocharis Kyriacou and Richard Waller. Student Centred Design of a Learning Analytics System
• Mucong Ding, Yanbang Wang, Erik Hemberg and Una-May O’Reilly. Transfer Learning using Representation Learning in Massive Online Open Courses
• Mucong Ding, Kai Yang, Dit-Yan Yeung and Ting-Chuen Pong. Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
• Sharon Slade, Paul Prinsloo and Mohammad Khalil. Learning analytics at the intersections of student trust, disclosure and benefit
• Erik Harpstead, Huy Nguyen, J Elizabeth Richey and Bruce Mclaren. Exploring the Subtleties of Agency and Indirect Control in Digital Learning Games
• Bodong Chen and Haiyi Zhu. Towards Value-Sensitive Learning Analytics Design
• Asmaa Elbadrawy and George Karypis. UPM: Discovering Course Enrollment Sequences Associated with Success
• Rubén Francisco Manrique, Bernardo Pereira Nunes, Olga Marino, Terhi Nurmikko-Fuller and Marco Antonio Casanova. An Analysis of Student Representation, Representative Features and Classification Algorithms to Predict Degree Dropout.
• Cathlyn Stone, Abigail Quirk, Margo Gardener, Stephen Hutt, Angela Duckworth and Sidney D’Mello. Language as Thought: Using Natural Language Processing to Model Noncognitive Traits that Predict College Success
• Qian Hu and Huzefa Rangwala. Grade Prediction with Uncertainty Estimation Using Bayesian Deep Learning
• Munira Syed, Trunojoyo Anggara, Alison Lanski, Xiaojing Duan, G. Alex Ambrose and Nitesh V. Chawla. Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course
• Lisa Lim, Shane Dawson, Srecko Joksimovic and Dragan Gasevic. Exploring students’ sensemaking of learning analytics dashboards: Does frame of reference make a difference?
• Stephen Aguilar and Clare Baek. Motivated Information Seeking and Graph Comprehension in Relation to Help-Seeking and Comparison Among College Students
• Anthony F. Botelho, Ashvini Varatharaj, Eric Vaninwegen and Neil Heffernan. Refusing to Try: Characterizing Early Stopout on Student Assignments
• Alexandra Andres, Jaclyn Ocumpaugh, Ryan Baker, Stefan Slater, Luc Paquette, Yang Jiang, Nigel Bosch, Anabil Munshi, Allison Moore and Gautam Biswas. Affect Sequences and Learning in Betty’s Brain
• James Fiacco, Elena Cotos and Carolyn Rose. Towards Enabling Feedback on Rhetorical Structure with Neural Sequence Models
• Warren Li, Christopher Brooks and Florian Schaub. The Impact of Student Opt-Out on Educational Predictive Models
• Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat and Dan Roth. DiAd: Domain Adaptation for Learning at Scale
• Yi Han Victoria Chua, Justin Dauwels and Seng Chee Tan. Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now?
• Timothy Necamp, Joshua Gardner and Christopher Brooks. Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments
• David Azcona, Piyush Arora, Sharon Hsiao and Alan Smeaton. user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code
• Weijie Jiang, Zach Pardos and Qiang Wei. Goal-based Course Recommendation

Short Research Papers

• Tomer Gal and Arnon Hershkovitz. Different Response-Based Feedback in Mathematics: The case of symbolic and textual messages
• Jovita Vytasek, Alexandra Patzak and Philip Winne. Topic Development to Support Revision Feedback
• Khushboo Thaker, Paulo Carvalho and Ken Koedinger. Comprehension Factor Analysis: Modeling student’s reading behaviour
• Roberto Martinez-Maldonado. “I Spent More Time with that Team”: Making Spatial Pedagogy Visible Using Positioning Sensors
• Luiz Antonio Macarini, Cristian Cechinel, Henrique Lemos dos Santos, Xavier Ochoa, Virgínia Rodés, Guillermo Ettlin Alonso, Alén Pérez Casas and Patricia Díaz. Challenges on implementing Learning Analytics over countrywide K-12 data
• Dmytro Babik, Scott Stevens and Andrew Waters. Comparison of Ranking and Ratings Scales in Online Peer Assessment: Simulation Approach
• Ritayan Mitra and Pankaj Chavan. DEBE feedback for large lecture classroom analytics
• Chen Qiao and Xiao Hu. Measuring Knowledge Gaps in Student Responses by Mining Networked Representations of Texts
• Yihan Lu and Sharon Hsiao. Exploring Programming Semantic Analytics with Deep Learning Models
• Trish Varao Sousa, Caitlin Mills and Alan Kingstone. Where You Are, Not What You See: The Impact of Learning Environment on Mind Wandering and Material Retention
• Katerina Mangaroska, Boban Vesin and Michail Giannakos. Cross-Platform Analytics: A step towards Personalization and Adaptation in Education
• Tobias Hecking, Dorian Doberstein and H. Ulrich Hoppe. Predicting the Well-functioning of Learning Groups under Privacy Restrictions
• Irene-Angelica Chounta and Paulo Carvalho. Square it up! How to model step duration when predicting student performance
• Stephanie Carnell, Benjamin Lok, Melva James and Jonathan Su. Predicting Student Success in Communication Skills Learning Scenarios with Virtual Humans
• Philip Arcuria, William Morgan and Thomas Fikes. Validating the Use of LMS-Derived Rubric Structural Features to Facilitate Automated Measurement of Rubric Quality
• David Lang, Klint Kanopka and Kritphong Mongkhonvanit. Deep Knowledge Tracing and Engagement with MOOCs
• Melanie Peffer, David Quigley and Mehrgan Mostowfi. Clustering Analysis Reveals Authentic Science Inquiry Trajectories Among Undergraduates
• Joseph Reilly and Chris Dede. Differences in Student Trajectories via Filtered Time Series Analysis in an Immersive Virtual World
• Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini and Jennifer Lentini. Would you? Could you? On a tablet? Analytics of Children’s eBook Reading
• Angel Fiallos and Xavier Ochoa. Semi-Automatic Generation of Intelligent Curricula to Facilitate Learning Analytics
• Laura Allen, Caitlin Mills, Cecile Perret and Danielle McNamara. Are You Talking to Me? Multi-Dimensional Language Analysis of Explanations during Reading
• Wenfei Yan, Nia Dowell, Caitlin Holman, Steve Welsh, Heeryung Choi and Christopher Brooks. Exploring Learner Engagement Patterns in Teach-Outs: Using Topic, Sentiment and On-topicness to Reflect on Pedagogy
• Yiwen Lin, Nia Dowell, Andrew Godfrey, Heeryung Choi and Christopher Brooks. Modeling Gender in Intra and Interpersonal Dynamics during Online Learning Collaborative Interactions
• Shayan Doroudi and Emma Brunskill. Fairer but Not Fair Enough: On the Equitability of Knowledge Tracing
• Xiao Hu, Fanjie Li and Runzhi Kong. Can Background Music Facilitate Learning? Preliminary Results on Reading Comprehension
• Alyssa Wise and Yi Cui. Top Concept Networks of Professional Education Reflections
• Fernando Rodriguez, Renzhe Yu, Jihyun Park, Mariela Janet Rivas, Mark Warschauer and Brian K. Sato. Utilizing Learning Analytics to Map Students’ Self-Reported Study Strategies to Click Behaviors in STEM Courses

Practitioner Presentations

• Rwitajit Majumdar, Arzu Akçapınar, Gökhan Akçapınar, Brendan Flanagan and Hiroaki Ogata. LAView: Learning Analytics Dashboard Towards Evidence-based Education
• Amanda Hilliard. Developing an English Learner Corpus for Materials Creation and Evaluation
• Jean Yin Chiun Phua, Evan Min-Yang Yeo and Shannalyn Jia Yun Ng. Understanding Teaching and Learning Practices of An Online Adaptive Mathematics Tutoring Platform
• Bradley Coverdale and Matthew Hendrickson. Improving Dashboard Usability: A Case Study
• Rebecca Kantar, David Laing, Matthew Emery, Sonia Doshi, Yao Xiong and Erica Snow. Identification of sample comparability issues during the iterative design of game-based cognitive assessments
• Linda Shepard, George Rehrey, Dennis Groth and Amberly Reynolds. Evaluating a Learning Analytics Research Community: A Framework to Advance Cultural Change
• Pravin Chopade, David Edwards and Saad Khan. Designing a Digital Jigsaw Game based Measurement of Collaborative Problem-Solving Skills
• Sattik Ghosh and Meryl Motika. Evaluating Remedial Writing and Writing Placement in a Large Public University
• Uma Vijh, Josine Verhagen, Webb Phillips and Ji An. Empowering Tutors with Big-data Learning Analytics
• Kelly Mckenna and James Folkestad. Reflections of Visual Form Learning Analytics: Spaced Retrieval Practice Activity
• Wei, J., Cutler, F., Macfadyen, L. P. & Shirazi, S. Implementing Learning Analytics: Instructor Perspectives

Doctoral Consortium

• Charlotte Larmuseau, Piet Desmet, Luigi Lancieri and Fien Depaepe. Investigating the Effectiveness of Online Learning Environments for Complex Learning
• Heeryung Choi. Trace Data: How to Improve a Method to Measure Self-regulated Learning in Online Courses
• Elise Ameloot and Tammy Schellens. Learning Analytics in a Blended Learning Context: Exploring students’ motivation and perceptions
• John Saint. Analytics for the Measurement of Process Dimensions of Self-Regulated Learning and Feedback Impact
• Saman Rizvi. The Influence of Geo-Cultural Background on MOOC Learning Trajectories
• Ji Eun Lee. The Effects of Discussion Strategies and Learner Interactions on Performance in Online Mathematics Courses: An Application of Learning Analytics
• Catherine Manly. Utilization and Effect of Multiple Content Modalities In Online Higher Education: Shifting Trajectories Toward Success Through Universal Design For Learning
• Sophie Abel. Improving research students writing with writing analytics
• Diana López Tavares. Designing a Teacher Dashboard for Interactive Simulations
• Tomohiro Nagashima. Towards Designing a Novice-friendly Visualization for Student-facing Learning Dashboards

Posters

• Jan Schneider, Daniele Di Mitri and Hendrik Drachsler. Multimodal Tutor Builder Kit
• Juan Zheng, Wanli Xing, Gaoxia Zhu, Guanhua Chen, Henglv Zhao and Xudong Huang. Person-Oriented Approach to Profiling Learners’ self-regulation in STEM learning
• Jae-Eun Russell and Anna Smith. Elements of Success: Supporting At-risk Student Resilience through Learning Analytics
• Semih Bursali, Majed Ali and Reza Feyzi Behnagh. Examining Procrastination Behavior in Academic Settings Using a Mobile App
• Samantha Brunhaver, Jennifer Bekki, Eunsil Lee and Javeed Kittur. Understanding the factors contributing to persistence among undergraduate engineering students in online courses
• Fan Ouyang. IntVisRep: An Interactive Social Learning Analytics Tool
• Christian Rapp, Jakob Ott and Peter Kauf. Data analysis and visualization for supporting academic writing and its instruction – the example of Thesis Writer
• Sa Liu, Min Liu, Zilong Pan, Wenting Zou and Chenglu Li. Examining Science Learning by At-Risk Middle School Students in a Multimedia-Enriched Problem-Based Learning Environment
• Amelia Brennan and Pablo Munguia. A stage-based matrix model of student progression
• Yi-Shan Tsai, Vitomir Kovanovi? and Dragan Gaševi?. Learning analytics adoption – approaches and maturity
• Di Sun, Gang Cheng, Pengfei Xu and Qinhua Zheng. Comparing Interaction Activity Patterns of Different Achievement Learner Groups in MPOCs
• Ville Kivimaki and Joonas Pesonen. Dynamic Feedback System supporting self-regulation, adaptive teaching and program level curricular development
• Mamta Saxena and Melanie Kasparian. Academic Quality Data Landscape: Establishing a Sustainable Process to Measure Learner Performance
• Oi-Man Kwok, Yu-Chen Yeh, Hsiang-Yu Chien, Noelle Wall Sweany, Eunkyeng Baek and William McIntosh. Finding the At-Risk Online Learners: Development of the Online REadiness Screener (ORES)
• Di Sun, Pengfei Xu, Junlei Du, Qinhua Zheng and Jingjing Zhang. Log-based learning analytics in vector space
• Nora Ayu Ahmad Uzir, Dragan Gasevic, Abelardo Pardo, Jelena Jovanovic and Wannisa Matcha. Analytics of Time Management Strategies in a Flipped Classroom
• Charles Lang and Detra Price-Dennis. CanoPy: Using Python Scripts to Promote Teacher-Driven Learning Analytics
• Henry Anderson, Afshan Boodhwani and Ryan Baker. Predicting Graduation at a Public R1 University
• Kathryn McCarthy and Scott Hinze. Using Natural Language Processing to Assess Explanation Quality in Retrieval Practice Tasks
• Valerie Barbaro. Toward More Meaningful Analytics: Refining Social Presence Within the Community of Inquiry Model
• Charles Lang, Xiaoting Kuang and Sai Raj Reddy. Bttn: A Simple Data Collection App for Learning Analytics
• Yuanru Tan and Rebecca Quintana. What Can We Learn About Learner Interaction When One Course is Hosted on Two MOOC Platforms?
• Matt Crosslin, Justin T. Dellinger, Nikola Milikic, Igor Jovic and Kim Breuer. Determining Learning Pathway Choices Utilizing Process Mining Analysis on Clickstream Data in a Traditional College Course
• Tetsuya Shiino, Atsushi Shimada, Tsubasa Minematsu, Kohei Hatano, Yuta Taniguchi, Shinichi Konomi and Rinichiro Taniguchi. Page-wise Difficulty Level Estimation using e-Book Operation Logs
• Jihyun Rho and Gahgene Gweon. Examining gameplay of high score achieving students: comparison of replaying after a failed gameplay
• Jill Burstein, Daniel McCaffrey, Beata Beigman Klebanov, Guangming Ling and Steven Holtzman. Exploring Writing Analytics and Postsecondary Success Indicators
• Matthew Bernacki, Kat Campise, Megan Bavaro Romero, William Speer and Diane Chase. Promoting college readiness in math with ALEKS: How restudy and learning behaviors relate to enrollment, achievement, and retention
• Yoon Jeon Kim, José A. Ruipérez Valiente, Philip Tan, Louisa Rosenheck and Eric Klopfer. Towards a Process to Integrate Learning Analytics and Evidence-Centered Design for Game-based Assessment
• Anant Mittal and Christopher Brooks. Augmenting Authentic Data Science Environments for Learning Analytics
• Mohammed Ibrahim, Daniel McSweeney and Geraldine Gray. Accessible Learning Analytics
• David Quigley, Donna Caccamise, Peter Foltz, Eileen Kintsch, John Weatherley and Holly Kurtz. Determining reading comprehension of domain texts
• Cheng-Yu Chung and Sharon Hsiao. Exploring Persistence and Regularity Behavioral Analytics in Online Self-Assessments
• Turner Bohlen, Carolyn Bickers, Linda Elkins-Tanton, James Tanton, Calvin Dunwoody and Megan Allen. Critical Thinking Training and Formative Measurement Using Student Questions
• Gábor Kismihók and Maritina Hasseler. The Role of Learning Analytics in Redefining Nursing Skills for Artificial Intelligence and Robotization in the Healthcare
• David Azcona, Enric Moreu, Sharon Hsiao and Alan Smeaton. CoderBot: AI Chatbot to Support Adaptive Feedback for Programming Courses
• Yuxin Chen, Asmalina Saleh, Cindy Hmelo-Silver, Krista Glazewski and James Lester. Preparing Successful Facilitation: Designing A Teacher Dashboard to Support PBL Classroom Orchestration in A Game-based Learning Environment
• Luis Perez Cortes, Brian Nelson, Catherine Bowman, Judd Bowman, Brooke Owen, Jeff Danas, Eleanor Dhuyvetter, Edgar Escalante, Kyle Rodgers, Abigail Weibel and Jesse Ha. Deciphering Dr. Discovery: Data Analytics for Interpreting Museum Visitor Demographics and Engagement with Exhibit Content
• John Stamper, Paulo Carvalho, Steven Moore and Kenneth Koedinger. Tigris: An Online Workflow Tool for Sharing Educational Data and Analytic Methods
• Yancy Vance Paredes, Sarada Panchanathan, Pamela Carol Garcia-Filion and I-Han Hsiao. Exploring Medical Education Learning Analytics from the Use of Electronic Health Record Systems
• Atsushi Shimada, Takuro Owatari, Tsubasa Minematsu and Rin-Ichiro Taniguchi. Learning Activity Analytics across Courses
• Matthew Steinwachs and Marco Molinaro. Know Your Students: Empowering Educators to Improve Learning Using Data
• Jason Baik, John Stamper and Huzefa Rangwala. MOOC Effort Dashboard: An Interactive Web Dashboard Built in R
• Shizuka Shirai, Noriko Takemura, Yuta Nakashima, Hajime Nagahara and Haruo Takemura. Multimodal Learning Analytics: Society 5.0 Project in Japan
• Goutam Sarker, Lisa Berry, Shanna Banda and George Siemens. (Un)Readiness for College Algebra: Using Learning Analytics to Design Interventions for Student Success
• Micah Watanabe, Kathryn Mccarthy and Danielle McNamara. Examining the Effects of Adaptive Task Selection on Students’ Motivation in an Intelligent Tutoring System
• Yasuhiro Mori, Komei Sakamoto and Takahiko Mendori. Development of a Real Time Viewing Status Feedback System and Its Impact
• Mohammad Nehal Hasnine, Brendan Flanagan, Masatoshi Ishikawa, Hiroaki Ogata, Kousuke Mouri and Keiichi Kaneko. A Platform for Image Recommendation in Foreign Word Learning
• Hieu Nguyen, Hyoungjoon Lim, Sung Bum Yun and Joon Heo. Development of a Visualization Tool for Student Characterization using Mobility Data
• Kevin Hartman. Growing an Institutional Data Lake into a Community Good

Important Dates

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