Full Proceedings

Individual Papers

Full Papers

Analyzing Student Strategies In Blended Courses Using Clickstream Data
Nil-Jana Akpinar, Aaditya Ramdas and Umut Acar

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Unsupervised Approach for Modeling Content Structures of MOOCs
Fareedah Alsaad and Abdussalam Alawini

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Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms
Lovenoor Aulck, Dev Nambi and Jevin West

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“Hello, [REDACTED]”: Protecting Student Privacy in Analyses of Online Discussion Forums
Nigel Bosch, Wes Crues, Najmuddin Shaik and Luc Paquette

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Predicting Engagement in Video Lectures
Sahan Bulathwela, María Pérez Ortiz, Aldo Lipani, Emine Yilmaz and John Shawe-Taylor

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The Ebb and Flow of Student Engagement: Measuring motivation through temporal pattern of self-regulation
Steven Dang and Kenneth Koedinger

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Can we Take Advantage of Time-Interval Pattern Mining to Model Students Activity?
Oriane Dermy and Armelle Brun

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Automatic Subject-based Contextualisation of Programming Assignment Lists
Samuel Fonseca, Filipe Dwan Pereira, Elaine H. T. Oliveira, David Fernandes, Leandro Carvalho and Alexandra Cristea

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Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework
Nathan Henderson, Vikram Kumara, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe and James Lester

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Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving
Paul Hur, Nigel Bosch, Luc Paquette and Emma Mercier

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Evaluating sources of course information and models of representation on a variety of institutional prediction tasks
Weijie Jiang and Zach Pardos

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Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards
Song Ju, Min Chi and Guojing Zhou

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Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
Hang Li, Wenbiao Ding, Songfan Yang and Zitao Liu

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Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training
Tiffany Wenting Li and Luc Paquette

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Getting too personal(ized): The importance of feature choice in online adaptive algorithms
Zhaobin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams and Anna Rafferty

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What Time is It? Student Modeling Needs to Know
Ye Mao, Samiha Marwan, Thomas Price, Tiffany Barnes and Min Chi

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Towards Suggesting Actionable Interventions for Wheel Spinning Students
Tong Mu, Andrea Jetten and Emma Brunskill

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Exploring homophily in demographics and academic performance using spatial-temporal student networks
Quan Nguyen, Oleksandra Poquet, Christopher Brooks and Warren Li

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The effect of teachers reassigning students to new Cognitive Tutor sections
Adam Sales and John Pane

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Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models
Debopam Sanyal, Nigel Bosch and Luc Paquette

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Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering
Machi Shimmei and Noboru Matsuda

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Recommending Remedial Readings Using Student’s Knowledge state
Khushboo Thaker, Lei Zhang, Daqing He and Peter Brusilovksy

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Image Reconstruction of Tablet Front Camera Recordings in Educational Settings
Rafael Wampfler, Andreas Emch, Barbara Solenthaler and Markus Gross

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Variational Item Response Theory: Fast, Accurate, and Expressive
Mike Wu, Richard Davis, Benjamin Domingue, Chris Piech and Noah Goodman

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Student Subtyping via EM-Inverse Reinforcement Learning
Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo and Min Chi

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Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach
Mengfan Yao, Shaghayegh Sahebi and Reza Feyzi Behnagh

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Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data
Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi and Di Xu

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The NAEP EDM Competition: Theory-Driven Psychometrics and Machine Learning for Predictions Based on Log Data
Fabian Zehner, Scott Harrison, Beate Eichmann, Tobias Deribo, Daniel Bengs, Nico Andersen and Carolin Hahnel

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Modeling Knowledge Acquisition from Multiple Learning Resource Types
Siqian Zhao, Chunpai Wang and Shaghayegh Sahebi

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Predicting Student Performance in a Master’s Program in Data Science using Admissions Data
Yijun Zhao, Qiangwen Xu, Ming Chen and Gary Weiss

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Short Papers

Decomposition of Response Time to Give Better Predictions of Children’s Reading Comprehension
Zhila Aghajari, Deniz Sonmez Unal, Mesut Erhan Unal, Ligia Gómez and Erin Walker

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Whose Truth is the “Ground Truth”? College Admissions Essays and Bias in Word Vector Evaluation Methods
Noah Arthurs and Aj Alvero

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A Dataset of Learnersourced Explanations from an Online Peer Instruction Environment
Sameer Bhatnagar, Michel Desmarais, Amal Zouaq and Elizabeth Charles

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Effective Forum Curation via Multi-task Learning
Faeze Brahman, Nikhil Varghese, Suma Bhat and Snigdha Chaturvedi

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CSCLRec: Personalized Recommendation of Forum Posts to Support Socio-collaborative Learning
Zhaorui Chen and Carrie Demmans Epp

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Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction
Benjamin Clavié and Kobi Gal

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More Data and Better Keywords Imply Better Educational Transcript Classification?
Theodora Danciulescu, Stella Heras, Javier Palanca, Vicente Julian and Cristian Mihaescu

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Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis
Aleksandr Efremov, Ahana Ghosh and Adish Singla

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Investigating Relations between Self-Regulated Reading Behaviors and Science Question Difficulty
Effat Farhana, Teomara Rutherford and Collin Lynch

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Are You Really a Team Player?: Profiles of collaborative problem solvers in an online environment
Carol Forsyth, Jessica Andrews-Todd and Jonathan Steinberg

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Student Teamwork on Programming Projects. What can GitHub logs show us?
Niki Gitinabard, Ruth Okoilu, Yiqiao Xu, Sarah Heckman, Tiffany Barnes and Collin Lynch

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Using Process Data to Evaluate Scientific Inquiry Practice in Technology-Enhanced Assessment
Tao Gong, Lan Shuai, Burcu Arslan and Yang Jiang

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Confident Learning Curves in Additive Factor Modeling
Cyril Goutte and Guillaume Durand

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Towards Fair Educational Data Mining: A Case Study on Detecting At-risk Students
Qian Hu and Huzefa Rangwala

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Using online text books and in-class quizzes to predict in class performance
Noah Hunt-Isaak, Peter Cherniavsky, Mark Snyder and Huzefa Rangwala

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Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network
Hamid Karimi, Tyler Derr, Jiangtao Huang and Jiliang Tang

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EDM and Privacy: Ethics and Legalities of Data Collection, Usage, and Storage
Mark Klose, Vasvi Desai, Yang Song and Edward Gehringer

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Course Recommendation for University Environment
Boxuan Ma, Yuta Taniguchi and Shinichi Konomi

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Methodology to measure of similarity in student video sequence of interactions.
Boniface Mbouzao, Michel Desmarais and Ian Shrier

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PIPE: Predicting Logical Programming Errors in Programming Exercises
Dezhuang Miao, Yu Dong and Xuesong Lu

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Incidence of teacher curricular emphasis in reading achievement of Uruguayan ninth-grade students
Leonardo Moreno, Matias Núñez, Cecilia Emery, Inés Méndez, Elisa Borba and Eliana Lucián

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Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics
Huy Nguyen, Xinying Hou, John Stamper and Bruce McLaren

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Measuring Ability-to-Learn Using Parametric Learning Gain Functions
Chris Piech,Engin Bumbacher and Richard Davis

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Iterative Feature Engineering Through Text Replays of Model Error
Stefan Slater, Ryan Baker and Yeyu Wang

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Course Recommender Systems with Statistical Confidence
Zachary Warnes, Magnus Kinder and Evgueni Smirnov

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Problem detection in peer assessments between subjects by effective transfer learning and active learning
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Shoaib Akbar, Song Yang, Muyao Dong, Li Qi and Edward Gehringer

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DYNAMIC KNOWLEDGE EMBEDDING AND TRACING
Liangbei Xu and Mark Davenport

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Incorporating Task-specific Features into Deep Models to Classify Argument Components
Linting Xue and Collin Lynch

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A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions
Yijun Zhao, Bryan Lackaye, Jennifer Dy and Carla Brodley

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Poster Papers

Where to aim? Factors that influence the performance of Brazilian secondary schools
Paulo Jorge L. Adeodato and Rogerio Luiz C. S. Filho

Paper

A Procrastination Index for Online Learning Based on Assignment Start Time
Lalitha Agnihotri, Ryan Baker and Steve Stalzer

Paper

Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression
Bita Akram, Hamoon Azizsoltani, Wookhee Min, Eric Wiebe, Bradford Mott, Anam Navied, Kristy Elizabeth Boyer and James Lester

Paper

Educational Data Mining and Personalized Support in Online Introductory Physics Courses
Farook Al-Shamali, Hongxin Yan, Sabine Graf and Fuhua Lin

Paper

First Steps Towards NLP-based Formative Feedback to Improve Scientific Writing in Hebrew
Moriah Ariely, Tanya Nazaretsky and Giora Alexandron

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Discovering the Prerequisite Relationships Among Instructional Videos From Subtitles
Mehmet Cem Aytekin, Stefan Räbiger and Yucel Saygin

Paper

A method for generating features representing the students’ degree of anticipation/delay to complete assignments
Francisco Cervera and Juan Lara

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Predicting students’ performance using emotion detection from face-recording video when interacting with an ITS
Wilson Gustavo Chango Sailema, Miguel Sánchez, Rebeca Cerezo and Cristóbal Romero

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Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling
Clarence Chen and Zachary Pardos

Paper

Return of the Student: Predicting Re-Engagement in Mobile Learning
Maximillian Chen and Rene Kizilcec

Paper

Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning
Christa Cody, Mehak Maniktala, David Warren, Min Chi and Tiffany Barnes

Paper

An EDM-based Multimodal Method for Assessing Learners’ Affective States in Collaborative Crisis Management Serious Games
Ibtissem Daoudi, Erwan Tranvouez, Raoudha Chebil, Bernard Espinasse and Wided Lejouad Chaari

Paper

Exploration of Process Mining Opportunities In Educational Software Engineering – The GitLab Analyser
Philipp Dumbach, Alexander Aly, Markus Zrenner and Bjoern M. Eskofier

Paper

Comparing and combining tests for plagiarism detection in online exams
Edward Gehringer, Xiaohan Liu, Abhirav Kariya and Guoyi Wang

Paper

Curriculum profile: modelling the gaps between curriculum and the job market
Aleksandr Gromov, Andrei Maslennikov, Nikolas Dawson, Katarzyna Musial and Kirsty Kitto

Paper

Assessing Student Contributions in Wiki-based Collaborative Writing System
Tianyu Hu, Guangzhong Sun and Zhongtian Xu

Paper

EAnalyst: Toward Understanding Large-scale Educational Data
Tao Huang, Zhi Li, Hao Zhang, Huali Yang and Hekun Xie

Paper

How we talk about math: Leveraging naturalistic datasets to define the discourse of math in contrast to other domains
Rachel Jansen and Ruthe Foushee

Paper

Predicting Student Dropout by Mining Advisor Notes
J.D Jayaraman

Paper

Data Efficient Educational Assessment via Multi-Dimensional Pairwise Comparisons
Hyunbin Loh, Piljae Chae and Chanyou Hwang

Paper

Using Edit Distance Trails to Analyze Path Solutions of Parsons Puzzles
Salil Maharjan and Amruth Kumar

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How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences
Jessica Mcbroom, Irena Koprinska and Kalina Yacef

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Measuring task difficulty for online learning environments where multiple attempts are allowed — the Elo rating algorithm approach
Maciej Pankiewicz

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Social Media Mining to Understand the Impact of Co-operative Education on Mental Health
Mohammad S. Parsa and Lukasz Golab

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Towards Temporality-Sensitive Recurrent Neural Networks through Enriched Traces
Thomas Sergent, François Bouchet and Thibault Carron

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Predicting and Understanding Success in an Innovation-Based Learning Course
Lauren Singelmann, Enrique Alvarez, Ellen Swartz, Ryan Striker, Mary Pearson and Dan Ewert

Paper

Linguistic Changes across Different User Roles in MOOCs: What do they tell us?
Lavendini Sivaneasharajah, Katrina Falkner and Thushari Atapattu

Paper

Toward a deep convolutional LSTM for eye gaze spatiotemporal data sequence classification
Komi Sodoke, Roger Nkambou, Aude Dufresne and Issam Tanoubi

Paper

qDKT: Question-centric Deep Knowledge Tracing
Shashank Sonkar, Andrew Lan, Andrew Waters, Phillip Grimaldi and Richard Baraniuk

Paper

IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms
Patara Trirat, Sakonporn Noree and Mun Yong Yi

Paper

Using Association Rule Mining to Uncover Rarely Occurring Relationships in Two University Online STEM Courses: A Comparative Analysis
Hannah Valdiviejas and Nigel Bosch

Paper

Claim Detection and Relationship with Writing Quality
Qian Wan, Scott Crossley, Laura Allen and Danielle McNamara

Paper

VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics
Zichao Wang, Yi Gu, Andrew Lan and Richard Baraniuk

Paper

Next-Term Grade Prediction: A Machine Learning Approach
Audrey Tedja Widjaja, Lei Wang, Nghia Trong Truong, Aldy Gunawan and Ee-Peng Lim

Paper

Detecting Problem Statements in Peer Assessments
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Song Yang, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel and Edward Gehringer

Paper

An Empirical Analysis of Skewed Temporal Data for Distribution-based Course Similarity
Tao Xie, Chaohua Gong and Geping Liu

Paper

Semi-supervised Learning Method for Adjusting Biased Item Difficulty Estimates Caused by Nonignorable Missingness under 2PL-IRT Model
Kang Xue

Paper

An effect-size-based temporal interestingness metric for sequential pattern mining
Yingbin Zhang and Luc Paquette

Paper

DC papers

Mutual spontaneous aid between students in distance learning and the role of the feeling of social belonging to a training group
Dalila Bebbouchi

Paper

Structural Explanation of Automated Essay Scoring
Afrizal Doewes and Mykola Pechenizkiy

Paper

Natural Language Processing for Open Ended Questions in Mathematics within Intelligent Tutoring Systems
John Erickson

Paper

Self-Regulated Learning and Science Reading of Middle-School Students
Effat Farhana

Paper

Developing Curriculum Analytics and Student Social Networking for Graduate Employability Model
Aleksandr Gromov

Paper

Overcoming Foreign Language Anxiety in an Emotionally Intelligent Tutoring System
Daneih Ismail

Paper

The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning
Kakyeong Kim and Il-Hyun Jo

Paper

Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors
Ajay Kulkarni and Michael Eagle

Paper

Estimation for cognitive load in Video-based learning through Physiological Data and Subjective Measurement by Video Annotation
In-Hye Lee

Paper

Exploration Maps, Beyond Top Scores: Designing Formative Feedback for Open-Ended Problems
Aditi Mallavarapu and Leilah Lyons

Paper

Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving
Mehak Maniktala, Tiffany Barnes and Min Chi

Paper

Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity
Jessica Mcbroom, Kalina Yacef and Irena Koprinska

Paper

Investigating Students’ Learning in Online Learning Environment
Lavendini Sivaneasharajah, Katrina Falkner and Thushari Atapattu

Paper

Building Test Recommender Systems for e-Learning Systems
Oana Maria Teodorescu

Paper

Crowd-sourcing and Automatic Generation of Semantic Information in Blended-Learning Environments
Elad Yacobson

Paper

Industry Papers

Dynamic knowledge tracing through data driven recency weights
Deepak Agarwal, Ryan Baker and Anupama Muraleedharan

Paper | Video presentation

Auto generation of diagnostic assessments and their quality evaluation
Soma Dhavala, Chirag Bhatia, Joy Bose, Keyur Faldu and Aditi Avasthi

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Differential Responses to Personalized Learning Recommendations Revealed by Event-Related Analysis
Kevin Dieter, Jamie Studwell and Kirk Vanacore

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Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement
Youngnam Lee, Byungsoo Kim, Dongmin Shin, Junghoon Kim, Jineon Baek, Jinhwan Lee and Youngduck Choi

Paper | Video presentation

The Results of Zone of Proximal Development on Learning Outcome
Shengni Wang, Yuxin Zhao, Wei Ma, Zhenjun Ma and Ryan Baker

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