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OpeningOpening Ceremony Time Zone: UTC +1 )
Title Authors Recommendations for Orchestration of Formative Assessment Sequences: a Data-driven Approach Rialy Andriamiseza, Julien Broisin, Franck Silvestre Assessing the knowledge state of online students – new data, new approaches, improved accuracy Robin Schmucker, Jingbo Wang, Shijia Hu, Tom Mitchell
ID Title Authors 118 Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach Frederik Baucks and Laurenz Wiskott 59 Evaluating Gaming Detector Models For Robustness Over Time Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali and Stephen Hutt 42 An Evaluation of code2vec Embeddings for Scratch Benedikt Fein, Isabella Graßl, Florian Beck and Gordon Fraser
ID Title Authors 51 Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras and Tanja Käser 78 Generalisable Methods for Early Prediction in Interactive Simulations for Education Jade Maï Cock, Mirko Marras, Christian Giang and Tanja Käser 80 Toward Better Grade Prediction via A2GP – An Academic Achievement Inspired Predictive Model Wei Qiu, S. Supraja and Andy W. H. Khong
Session 3 (Full papers): Assessment Time Zone: UTC +1 )
ID Title Authors 84 Individual Fairness Evaluation for Automated Essay Scoring System Afrizal Doewes, Akrati Saxena, Yulong Pei and Mykola Pechenizkiy 54 Automatic Short Math Answer Grading via In-context Meta-learning Mengxue Zhang, Sami Baral, Neil Heffernan and Andrew Lan 63 Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning Nathan Henderson, Halim Acosta, Wookhee Min, Bradford Mott, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe and James Lester
Session 4 (Full papers): Reading comprehension Time Zone: UTC +1 )
ID Title Authors 56 Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading Megan Caruso, Candace Peacock, Rosy Southwell, Guojing Zhou and Sidney D’Mello 62 Predicting Reading Comprehension Scores of Elementary School Students Yuyang Nie, Helene Deacon, Alona Fyshe and Carrie Demmans Epp
ID Title Authors 53 Addressing Competing Objectives in Allocating Funds to Scholarships and Need-based Financial Aid Vinthuy Phan, Laura Wright and Bridgette Decent 108 Neural Recall Network: A Neural Network Solution to Low Recall Problem in Regex-based Qualitative Coding Zhiqiang Cai, Cody Marquart and David Shaffer
Session 6 (Short papers): Programming Time Zone: UTC +1 )
ID Title Authors 151 Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin Lynch, Sarah Heckman and Tiffany Barnes 52 Improving problem detection in peer assessment through pseudo-labeling using semi-supervised learning Chengyuan Liu, Jialin Cui, Ruixuan Shang, Yunkai Xiao, Qinjin Jia and Edward Gehringer 105 From {Solution} Synthesis to {Student Attempt} Synthesis for Block-Based Visual Programming Tasks Adish Singla and Nikitas Theodoropoulos 43 Investigating the effect of Automated Feedback on learning behavior in MOOCs for programming Hagit Gabbay and Anat Cohen 74 Is there Method in Your Mistakes? Capturing Error Contexts by Graph Mining for Targeted Feedback Maximilian Jahnke and Frank Höppner 153 Going beyond “Good job”: Analyzing helpful feedback from students’ perspectives. M Parvez Rashid, Yunkai Xiao and Edward F. Gehringer
ID Title Authors 97 Grade Prediction via Prior Grades and Text Mining on Course Descriptions: Course Outlines and Intended Learning Outcomes Jiawei Li, S. Supraja, Wei Qiu and Andy W. H. Khong 9 Improving Peer Assessment with Graph Neural Networks Alireza A. Namanloo, Julie Thorpe and Amirali Salehi-Abari 126 Using Markov Models and Random Walks to Examine Strategy Use of More or Less Successful Comprehenders Katerina Christhilf, Natalie Newton, Reese Butterfuss, Kathryn S. McCarthy, Laura K. Allen, Joseph P. Magliano and Danielle S. McNamara 40 Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science Lea Cohausz 120 Modeling One-on-one Online Tutoring Discourse using an Accountable Talk Framework Renu Balyan, Tracy Arner, Karen Taylor, Jinnie Shin, Michelle Banawan, Walter Leite and Danielle McNamara
ID Title Authors 31 Adversarial bandits for drawing generalizable conclusions in non-adversarial experiments: an empirical study Yang Zhi-Han, Shiyue Zhang and Anna Rafferty 195 Automatic Classification of Learning Objectives Based on Bloom’s Taxonomy Yuheng Li, Mladen Rakovic, Boon Xin Poh, Dragan Gasevic and Guanliang Chen 130 No Meaning Left Unlearned: Predicting Learners’ Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings Yo Ehara
ID Title Authors 107 Mining Assignment Submission Time to Detect At-Risk Students with Peer Information Yuancheng Wang, Nanyu Luo and Jianjun Zhou 20 Investigating Growth of Representational Competencies by Knowledge-Component Model Jihyun Rho, Martina Rau and Barry Vanveen 168 The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues Anaïs Tack and Chris Piech
Session 10 (Full papers): Automated detectors Time Zone: UTC +1 )
ID Title Authors 35 Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman and Tyron Young 141 Predicting Cognitive Engagement in Online Course Discussion Forums Guher Gorgun, Seyma Nur Yildirim-Erbasli and Carrie Demmans Epp 125 Item Response Theory-Based Gaming Detection Yun Huang, Steven Dang, J. Elizabeth Richey, Michael Asher, Nikki G. Lobczowski, Danielle Chine, Elizabeth A. McLaughlin, Judith M. Harackiewicz, Vincent Aleven and Kenneth Koedinger
ID Title Authors 7 Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students’ Project Reports Qinjin Jia, Mitchell Young, Yunkai Xiao, Jialin Cui, Chengyuan Liu, Parvez Rashid and Edward Gehringer 37 SQL-DP:A Novel Difficulty Prediction Framework for SQL Programming Problems Jia Xu, Tingting Wei and Pin Lv 10 Sparse Factor Autoencoders for Item Response Theory Benjamin Paaßen, Malwina Dywel, Melanie Fleckenstein and Niels Pinkwart
Session: Doctoral Consortium Time Zone: UTC +1 )
ID Title Authors 34 Identifying Explanations Within Student-Tutor Chat Logs Ethan Prihar, Alexander Moore and Neil Heffernan 201 Detecting When a Learner Requires Assistance with Programming and Delivering a Useful Hint Marcus Messer 209 A Paraphrase Identification Approach in Paragraph length texts Arwa Al Saqaabi, Craig Stewart, Eleni Akrida and Alexandra Cristea 212 Investigating learners’ Cognitive Engagement in Python Programming using ICAP framework Daevesh Singh and Ramkumar Rajendran 213 Improving Automated Assessment and Feedback for Student Open-responses in Mathematics Sami Baral 216 Modeling Cognitive Load and Affect to Support Adaptive Online Learning Minghao Cai and Carrie Demmans Epp 219 Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers Jonathan Young, Sue Black, Alexandra Cristea, Ryan Hodgson and Cristina Todor 225 Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation Mahbubul Hasan, Lih Y Deng, John Sabatini, Dale Bowman, Ching-Chi Yang and John Hollander 228 Towards Personalised Learning of Psychomotor Skills with Data Mining Miguel Portaz and Olga C. Santos
Session: Industry Track Time Zone: UTC +1 )
ID Title Authors 5 Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines Jeffrey Matayoshi, Hasan Uzun and Eric Cosyn 24 Mining Artificially Generated Data to Estimate Competency Robby Robson, Benjamin Goldberg, Shelly Blake-Plock, Cliff Casey, William Hoyt, Mike Hernandez and Fritz Ray 60 “Closing the Loop” in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials Stephen Fancsali, April Murphy and Steven Ritter 92 Estimating the causal effects of Khan Academy Map Accelerator across demographic subgroups Phillip Grimaldi, Kodi Weatherholtz and Kelli Millwood Hill
Session 12 (Full/Short papers): Social and collaborative learning 1 Time Zone: UTC +1 )
ID Title Authors Type 155 Challenges and Feasibility of Automatic Speech Recognition for Modeling Student Collaborative Discourse in Classrooms Rosy Southwell, Samuel Pugh, E. Margaret Perkoff, Charis Clevenger, Jeffrey Bush, Rachel Lieber, Wayne Ward, Peter Foltz and Sidney D’Mello Full 55 Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu and Kristy Elizabeth Boyer Full 16 #lets-discuss: Analyzing Student Affect in Course Forums Using Emoji Ariel Blobstein, Kobi Gal, David Karger, Marc Facciotti, Hyunsoo Kim, Jumana Almahmoud and Kamali Sripathi Short 145 Using community-based problems to increase motivation in a data science virtual internship Jillian Johnson and Andrew Olney Short 69 Characterizing joint attention dynamics during collaborative problem-solving in an immersive astronomy simulation Yiqiu Zhou and Jina Kang Short
Session 13 (Full/Short papers): Personalized/adaptive learning 1 Time Zone: UTC +1 )
ID Title Authors Type 94 Combining domain modelling and student modelling techniques in a single automated pipeline Gio Picones, Benjamin Paaßen, Irena Koprinska and Kalina Yacef Full 12 Exploring Common Trends in Online Educational Experiments Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy Shaw, Adam Sales and Neil Heffernan Full 82 Log mining for course recommendation in limited information scenarios Juan Sanguino, Ruben Manrique, Olga Mariño, Mario Linares and Nicolas Cardozo Short 45 Data-driven goal setting: Searching optimal badges in the decision forest Julian Langenhagen Short 93 Using Machine Learning Explainability Methods to Personalize Interventions for Students Paul Hur, HaeJin Lee, Suma Bhat and Nigel Bosch Short
ID Title Authors 22 Building a Reinforcement Learning Environment from Limited Data to Optimize Teachable Robot Interventions Tristan Maidment, Mingzhi Yu, Nikki Lobczowski, Adriana Kovashka, Erin Walker, Diane Litman and Timothy Nokes-Malach 133 Exploring Cultural Diversity and Collaborative Team Communication through a Dynamical Systems Lens Mohammad Amin Samadi, Jacqueline G. Cavazos, Yiwen Lin and Nia Nixon 148 Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression Guojing Zhou, Robert Moulder, Chen Sun and Sidney D’Mello
ID Title Authors 18 Designing Representations for Question Sequencing using Reinforcement Learning Aqil Zainal Azhar, Avi Segal and Kobi Gal 109 Towards Including Instructor Features in Student Grade Prediction Nathan Ong, Jiaye Zhu and Daniel Mosse 21 Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks Yang Shi, Min Chi, Tiffany Barnes and Thomas Price
Session 16 (Short papers): Personalized/adaptive learning 2 Time Zone: UTC +1 )
ID Title Authors 72 Can Population-based Engagement improve Personalisation? A Novel Dataset, Baselines and Experiments Sahan Bulathwela, Meghana Verma, María Pérez Ortiz, Emine Yilmaz and John Shawe-Taylor 3 Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System Jeffrey Matayoshi, Eric Cosyn and Hasan Uzun 14 Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney Cade, Margaret Clements and Shuqiong Lin
Session: JEDM track Time Zone: UTC +1 )
Title Authors Latent Skill Mining and Labeling from Courseware Content Noboru Matsuda, Jesse Wood, Raj Shrivastava, Machi Shimmei, Norman Bier Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation Sami Sarsa, Juho Leinonen, Arto Hellas
Closing Ceremony Time Zone: UTC +1 ) Session Chair: Alexandra Cristea (Onsite)BST )Schedule available here
