Accepted Papers

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
  • Julie Wei, Fred Culter, Leah Macfadyen and Sanam Shirazi. 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

Important Dates

All deadlines are 23:59 GMT-11

Submission deadline for main track categories (Research, Practitioners, Workshops, Tutorials and Doctoral Consortium) 1 October 2018
Notification of acceptance for Workshops and Tutorials 15 October 2018
Accepted Workshop Open for Submission 29 October 2018
Notification of acceptance for Research, Practitioners, Doctoral Consortium 19 November 2018
Submission deadline for Posters/Demos and Workshop Papers 3 December 2018
Camera-ready papers for ACM Proceedings: Full Research Papers and Short Research Papers 17 December 2018
Notification of Acceptance for Posters/Demos and Workshop Papers 4 January 2019
Early-bird registration closes 8 January 2019
LAK19, Tempe, Arizona 4-8 March 2019