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List of Accepted Papers

Full Papers

Topic Transitions in MOOCs: An Analysis Study
Fareedah Alsaad, Thomas Reichel, Yuchen Zeng and Abdussalam Alawini
Student-centric Model of Login Patterns: A Case Study with Learning Management Systems
Varun Mandalapu, Lujie Chen, Zhiyuan Chen and Jiaqi Gong
Automatically classifying student help requests: a multi-year analysis
Zhikai Gao, Collin Lynch, Sarah Heckman and Tiffany Barnes
Which Hammer should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts
Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Dragan Gasevic and Guanliang Chen
Student Strategy Prediction using a Neuro-Symbolic Approach
Anup Shakya, Vasile Rus and Deepak Venugopal
SimPairing – Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research
Kexin Yang, Xuejian Wang, Vanessa Echeverria, Luettamae Lawrence, Kenneth Holstein, Nikol Rummel and Vincent Aleven
Estimating the Intelligent Tutor Effects on Specific Posttest Problems
Adam Sales, Ethan Prihar, Neil Heffernan and John Pane
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming
Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes and Thomas Price
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Mengxue Zhang, Zichao Wang, Richard Baraniuk and Andrew Lan
Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing
Chunpai Wang, Siqian Zhao and Shaghayegh Sahebi
Improving Automated Scoring of Student Open Responses in Mathematics
Sami Baral, Anthony F Botelho, John A Erickson, Priyanka Benachamardi and Neil T Heffernan
Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses
Mirko Marras, Julien Tuan Tu Vignoud and Tanja Käser
Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining
Jeffrey Matayoshi and Shamya Karumbaiah
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks
Ye Mao, Yang Shi, Samiha Marwan, Thomas Price, Tiffany Barnes and Min Chi
Learning student program embeddings using abstract execution traces
Guillaume Cleuziou and Frédéric Flouvat
Early Prediction of Conceptual Understanding in Interactive Simulations
Jade Cock, Mirko Marras, Christian Giang and Tanja Käser
Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Samuel Pugh, Shree Krishna Subburaj, Arjun Ramesh Rao, Angela Stewart, Jessica Andrews-Todd and Sidney D’Mello
Acting Engaged: Leveraging Player Persona Archetypes for Semi-Supervised Classification of Engagement
Benjamin Nye, Mark G. Core, Shikhar Jaiswal, Aviroop Ghosal and Daniel Auerbach
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah Goodman and Chris Piech
Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation
Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue and James Lester
Student Performance Prediction Using Dynamic Neural Models
Marina Delianidi, Konstantinos Diamantaras, George Chrysogonidis and Vasileios Nikiforidis
Behavioral Testing of Deep Knowledge Tracing Models
Minsam Kim, Yugeun Shim, Seewoo Lee, Hyunbin Loh and Juneyoung Park

Short Papers

The effects of a personalized recommendation system on students’ high-stakes achievement scores: A field experiment
Nilanjana Chakraborty, Samrat Roy, Walter Leite and George Michailidis
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
Byungsoo Kim, Hangyeol Yu, Dongmin Shin and Youngduck Choi
Sentiment Analysis of Student Surveys – A Case Study on Assessing the Impact of the COVID-19 Pandemic on Higher Education Teaching
Haydée Guillot Jiménez, Anna Carolina Finamore, Marco Antonio Casanova and Gonçalo Simões
Exploring the Importance of Factors Contributing to Dropouts in Higher Education Over Time
Hasan Tanvir and Irene-Angelica Chounta
Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?
Arabella Sinclair and Bertrand Schneider
On the Limitations of Human-Computer Agreement in Automated Essay Scoring
Afrizal Doewes and Mykola Pechenizkiy
Predicting Student Performance Using Teacher Observation Reports
Menna Fateen and Tsunenori Mine
Context-aware knowledge tracing integrated with the exercise representation and association in mathematics
Tao Huang, Mengyi Liang, Huali Yang, Zhi Li, Tao Yu and Shengze Hu
Grouping Source Code by Solution Approaches — Improving Feedback in Programming Courses
Frank Höppner
Embedding navigation patterns for student performance prediction
Ekaterina Loginova and Dries Benoit
Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning
Guangyuan Piao
Modeling Creativity in Visual Programming: From Theory to Practice
Anastasia Kovalkov, Benjamin Paassen, Avi Segal, Kobi Gal and Niels Pinkwart
Fair-Capacitated Clustering
Tai Le Quy, Arjun Roy, Gunnar Friege and Eirini Ntoutsi
A Novel Algorithm for Aggregating Crowdsourced Opinions
Ethan Prihar and Neil Heffernan
pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models
Anirudhan Badrinath, Frederic Wang and Zach Pardos
Speeding up without Loss of Accuracy: Item Position Effects on Examinees’ Performance in University Exams
Leonardo Vida, Maria Bolsinova and Matthieu J. S. Brinkhuis
Going Online: A simulated student approach for evaluating knowledge tracing in the context of mastery learning
Qiao Zhang and Christopher MacLellan
Effects of Algorithmic Transparency in Bayesian Knowledge Tracing on Trust and Perceived Accuracy
Kimberly Williamson and Rene Kizilcec
Using Keystroke Analytics to Understand Cognitive Processes during Writing
Mo Zhang, Hongwen Guo and Xiang Liu
Quizzing Policy Using Reinforcement Learning for Inferring the Student Knowledge State
Joy He-Yueya and Adish Singla
Automated Claim Identification Using NLP Features in Student Argumentative Essays
Qian Wan, Scott Crossley, Michelle Banawan, Renu Balyan, Danielle McNamara and Laura Allen
ALL-IN-ONE: Multi-Task Learning BERT models for Evaluating Peer Assessments
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid and Edward Gehringer
Finding the optimal topic sequence for online courses using SERPs as a Proxy
Sylvio Rüdian and Niels Pinkwart
Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions
Florian Sense, Michael Krusmark, Joshua Fiechter, Michael G. Collins, Lauren Sanderson, Joshua Onia and Tiffany Jastrzembski
Assessing attendance by peer information
Pan Deng, Jianjun Zhou, Jing Lyu and Zitong Zhao
Do Common Educational Datasets contain Static Information? A Statistical Study
Théo Barollet, Florent Bouchez-Tichadou and Fabrice Rastello
Learning Expert Models for Educationally Relevant Tasks using Reinforcement Learning
Christopher Maclellan and Adit Gupta
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences
Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye and Jiancheng Lv
Math Question Solving and MCQ Distractor Generation with attentional GRU Networks
Neisarg Dave, Riley Owen Bakes, Bart Pursel and C. Lee Giles
Targeting Design-Loop Adaptivity
Stephen Fancsali, Hao Li, Michael Sandbothe and Steven Ritter
Integrating Deep Learning into An Automated Feedback Generation System for Automated Essay Scoring
Chang Lu and Maria Cutumisu
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas and Ryan Baker
Automatic short answer grading with SBERT on out-of-sample questions
Aubrey Condor, Max Litster and Zachary Pardos
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code
Yang Shi, Ye Mao, Tiffany Barnes, Min Chi and Thomas Price
Toward Improving Student Model Estimates through Assistance Scores in Principle and in Practice
Napol Rachatasumrit and Kenneth Koedinger
From Detail to Context: Modeling Distributed Practice Intensity and Timing by Multiresolution Signal Analysis
Cheng-Yu Chung and I-Han Hsiao
What you apply is not what you learn! Examining students’ strategies in German capitalization tasks
Nathalie Rzepka, Hans-Georg Müller and Katharina Simbeck
Experimental Evaluation of Similarity Measures for Educational Items
Jaroslav Čechák and Radek Pelánek
Student Practice Sessions Modeled as ICAP Activity Silos
Adam Gaweda and Collin Lynch
Using Student Trace Logs To Determine Meaningful Progress and Struggle During Programming Problem Solving
Yihuan Dong, Samiha Marwan, Preya Shabrina, Tiffany Barnes and Thomas Price
Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks
Benjamin Paaßen, Andreas Bertsch, Katharina Langer-Fischer, Sylvio Rüdian, Xia Wang, Rupali Sinha, Jakub Kuzilek, Stefan Britsch and Niels Pinkwart
Deep-IRT with independent student and item networks
Emiko Tsutsumi, Ryo Kinoshita and Maomi Ueno
Gaining Insights on Student Course Selection in Higher Education with Community Detection
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson and María Óskarsdóttir
Automatic Assessment of the Design Quality of Python Programs with Personalized Feedback
Walker Orr and Nathaniel Russell

Poster Papers

Using Data Quality to compare the Prediction Accuracy based on diverse annotated Tutor Scorings
Sylvio Rüdian and Niels Pinkwart
Towards automated content analysis of feedback: A multi-language study
Ikenna Osakwe, Alexander Whitelock-Wainwright, Guanliang Chen, Rafael Ferreira Mello, Anderson Pinheiro Cavalcanti and Dragan Gašević
Generate: A NLG system for educational content creation
Saad Khan, Jesse Hamer and Tiago Almeida
Detecting Careless Responding to Assessment Items in a Virtual Learning Environment Using Person-fit Indices and Random Forest
Sanaz Nazari, Walter Leite and Anne Huggins-Manley
Linguistic Features of Discourse within an Algebra Online Discussion Board
Michelle Banawan, Renu Balyan, Jinnie Shin, Walter Leite and Danielle McNamara
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool
Ajay Kulkarni and Olga Gkountouna
Predicting Young Students’ Self-Regulated Learning Deficits Through Their Activity and Self-Evaluation Traces
Thomas Sergent, Morgane Daniel, François Bouchet and Thibault Carron
LMS Log Data Analysis from Fully-Online Flipped Classrooms: An Exploratory Case Study via Regularization
Jin Eun Yoo and Minjeong Rho
Catalog: An educational content tagging system
Saad Khan, Joshua Rosaler, Jesse Hamer and Tiago Almeida
Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs
Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens and Thomas Price
Mining Course Groupings based on Academic Performance
Daniel Leeds, Tianyi Zhang and Gary Weiss
Feedback and Self-Regulated Learning in Science Reading
Effat Farhana, Andrew Potter, Teomara Rutherford and Collin F. Lynch
The CommonLit Ease of Readability (CLEAR) Corpus
Scott Crossley, Aron Heintz, Joon Choi, Jordan Batchelor, Mehrnoush Karimi and Agnes Malatinszky
Measuring the Academic Impact of Course Sequencing using Student Grade Data
Tess Gutenbrunner, Daniel Leeds, Spencer Ross, Michael Riad-Zaky and Gary Weiss
Analyzing Ranking Strategies to Characterize Competition for Co-Operative Work Placements
Shivangi Chopra and Lukasz Golab
Leveraging Survey and Motion Sensors Data to Promote Gender Inclusion in Makerspaces
Edwin Chng, Stephanie Yang, Gahyun Sung, Tyler Yoo and Bertrand Schneider
Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction
Seewoo Lee, Kyu Seok Kim, Jamin Shin and Juneyoung Park
Deep learning for sentence clustering in essay grading support
Li-Hsin Chang, Iiro Rastas, Jenna Kanerva, Valtteri Skantsi, Sampo Pyysalo and Filip Ginter
Lockdown Learning: Changes in Online Study Activity and Performance of Dutch Secondary School Students during the COVID-19 Pandemic
Maarten van der Velde, Florian Sense, Rinske Spijkers, Martijn Meeter and Hedderik van Rijn
Restructuring Curricular Patterns Using Bayesian Networks
Ahmad Slim, Gregory Heileman, Chaouki Abdallah, Ameer Slim and Najem Sirhan
Improving Automated Teacher Discourse Classification via Automated Reliability Modeling
Nicholas C. Hunkins, Emily Jensen and Sidney K. D’Mello
Analysis of Factors Influencing User Contribution and Predicting Involvement of Users on Stack Overflow
Maliha Mahbub, Najia Manjur, Mahjabin Alam and Julita Vassileva
Automatic Domain Model Creation and Improvement
Philip I. Pavlik Jr., Luke Eglington and Liang Zhang
To Scale or Not to Scale: Comparing Popular Sentiment Analysis Dictionaries on Educational Twitter Data
Conrad Borchers, Joshua Rosenberg, Ben Gibbons, Macy Alana Burchfield and Christian Fischer
The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course
Dimitrios Tzimas and Stavros Demetriadis
Sex-Related Behavioral Differences in Online Math Classes: An Epistemic Network Analysis
Yufei Gu and Kun Xu
SimGrade: Using Code Similarity Measures for More Accurate Human Grading
Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami and Chris Piech
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments
Gary Weiss, Nam Nguyen, Karla Dominguez and Daniel Leeds
Early Detection of At-risk Students based on Knowledge Distillation RNN Models
Ryusuke Murata, Tsubasa Minematsu and Atsushi Shimada
Are Violations of Student Privacy “Quick and Easy”? Investigating the Privacy of Students’ Images and Names in the Context of K-12 Educational Institution’s Posts on Facebook
Macy Burchfield, Joshua Rosenberg, Conrad Borchers, Tayla Thomas, Benjamin Gibbons and Christian Fischer
Predicting Executive Functions in a Learning Game: Accuracy and Reaction Time
Jing Zhang, Teresa Ober, Yang Jiang, Jan Plass and Bruce Homer
Classroom Analytics for the Teacher, by the Teacher: Building Interpretable Descriptors for Student Posture Analysis in a Physical Classroom
Lujie Chen and David Gerritsen
A New Readability Assessment Tool
Rebecca Watson and Ekaterina Kochmar
Predictive Sequential Pattern Mining via Interpretable Convolutional Neural Networks
Lan Jiang and Nigel Bosch
Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming
Juho Leinonen, Francisco Enrique Vicente Castro and Arto Hellas
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Roles
Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie and Amir Tamrakar
Is It Fair? Automated Open Response Grading
John A. Erickson, Anthony F. Botelho, Zonglin Peng, Rui Huang, Meghana V. Kasal and Neil Heffernan
Towards Difficulty Controllable Selection of Next-Sentence Prediction Questions
Jingrong Feng and Jack Mostow
Analysis of stopping criteria for Bayesian Adaptive Mastery Assessment
Androniki Sapountzi, Sandjai Bhulai, I. Cornelisz and Chris Van Klaveren
Academic Integrity in Online Education during the COVID-19 Pandemic: a Social Media Mining Study
Mohammad Parsa and Lukasz Golab
AQuAA: Analytics for Quality Assurance in Assessment
Manqian Liao, Yigal Attali and Alina A. von Davier
Mining sequential patterns with high usage variation
Yingbin Zhang and Luc Paquette
The Cold Start Problem and Interpretation of Knowledge Tracing Models’ Predictive Performance
Jiayi Zhang, Rohini Das, Ryan S. Baker and Richard Scruggs
Recommendation System for Engineering Programs Candidates
Bruno Mota da Silva and Claudia Antunes
Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction
Pichayut Liamthong and Jacob Whitehill

JEDM Papers

Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching
Lujie Karen Chen, Joseph Ramsey and Artur Dubrawski
ast2vec: Utilizing Recursive Neural Encodings of Python Programs
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries Grok, Irena Koprinska and Kalina Yacef
Extending Adaptive Spacing Heuristics to MultiSkill Items
Benoît Choffin, Fabrice Popineau and Yolaine Bourda

Doctoral Consortium Papers

Towards fair, explainable and actionable clustering for learning analytics
Tai Le Quy and Eirini Ntoutsi
A Time-Aware Approach to Detect Patterns and Predict Help-Seeking Behaviour in Adaptive Educational Systems
Raquel Horta-Bartomeu and Olga C. Santos
Mixed Data Sampling in Learning Analytics
Julian Langenhagen
Towards a Conception and Integration of an Educational Social Network into an Institutional Learning Platform
Romaric Bassole, Frédéric T. Ouedraogo and Laurence Capus

Industry Papers

Online Estimation of Student Ability and Item Difficulty with Glicko-2 Rating System on Stratified Data
Jaesuk Park
UPreG: An Unsupervised approach for building the Concept Prerequisite Graph
Varun Sabnis, Kumar Abhinav, Venkatesh Subramania, Alpana Dubey and Padmaraj Bhat
Benefits of alternative evaluation methods for Automated Essay Scoring
Øistein E. Andersen, Rebecca Watson, Zheng Yuan and Kevin Yet Fong Cheung
Methods for Language Learning Assessment at Scale: Duolingo Case Study
Lucy Portnoff, Erin Gustafson, Joseph Rollinson and Klinton Bicknell