List of Accepted Papers



Diane Litman, Haoran Zhang, Richard Correnti, Lindsay Matsumura and Elaine Wang

A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing

Abhinav Misra, Anastassia Loukina, Beata Beigman Klebanov, Binod Gyawali and Klaus Zechner

A Good Start is Half the Battle Won: Unsupervised Pre-Training for Low Resource Children’s Speech Recognition for an Interactive Reading Companion

Masaki Uto

A Multidimensional Item Response Theory Model for Rubric-based Writing Assessment

Samah Alkhuzaey, Floriana Grasso, Terry Payne and Valentina Tamma

A Systematic Review of Data-driven Approaches to Item Difficulty Prediction

Fahmid Morshed Fahid, Jonathan P. Rowe, Randall Spain, Benjamin S. Goldberg, Robert Pokorny and James Lester

Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks

Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana M.A.L. Andres, Stefan Slater, Matthew Schofield, Allison Moore, Luc Paquette, Anabil Munshi and Gautam Biswas

Affect-Targeted Interviews for Understanding Student Frustration

Ankit Gupta, Neeraj Menon, William Lee, Danielle Allessio, Tom Murray, Beverly Park Woolf, Jacob Whitehill and Ivon Arroyo

Affective Teacher Tools: an Affective Class Report Card and an Affective Dashboard

Jamie Gorson, Nicholas LaGrassa, Cindy Hsinyu Hu, Elise Lee, Ava Marie Robinson and Eleanor O’Rourke

An approach for detecting student perceptions of the programming experience from interaction log data

Nese Alyuz, Sinem Aslan, Sidney D’Mello, Lama Nachman and Asli Arslan Esme

Annotating Student Engagement Across Grades: Influence of Demographics and Expression

Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic and Guanliang Chen

Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts

Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu and Zitao Liu

Automatic Task Requirements Writing Evaluation With Feedback via Machine Reading Comprehension

Jaroslav Čechák and Radek Pelánek

Better Model, Worse Predictions: The Dangers in Student Model Comparisons

Tasmia Shahriar and Noboru Matsuda

Can you clarify what you said? — Studying the impact of tutee agent’s follow-up questions on tutor’s learning

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew and Dongwon Lee

Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT

Shi Pu, Geoff Converse and Yuchi Huang

Deep Performance Factors Analysis for Knowledge Tracing

Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko and Tom McKlin

Discovering Co-creative Dialogue States during Collaborative Learning

James Bywater, Mark Floryan and Jennifer Chiu

DiSCS: A New Sequential Data Mining Method for Open-Ended Learning Environments

Sameena Hossain, Azamat Kamzin, Venkata Naga Sai Apurupa Amperayani, Prajwal Paudyal, Ayan Banerjee and Sandeep Gupta

Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learning

Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes and Min Chi

Evaluating Critical Reinforcement Learning Framework In the Field

Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Želem-Ćelap, Peter Brusilovsky, Aleksandra Klasnja Milicevic and Mirjana Ivanovic

Explainable Recommendations in a Personalized Programming Practice System

Mihai Masala, Stefan Ruseti, Mihai Dascalu and Ciprian Dobre

Extracting and Clustering Main Ideas from Student Feedback using Language Models

J Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel Andres-Bray, Richard Scruggs, Michael Mogessie, Ryan S. Baker and Bruce M. McLaren

Gaming and confrustion explain learning advantages for a math digital learning game

Tomas Effenberger and Radek Pelánek

Interpretable Clustering of Students’ Solutions in Introductory Programming

Jay Jennings and Kasia Muldner

Investigating students’ reasoning in a code-tracing tutor

Qi Zhou, Wannapon Suraworachet, Stanislav Pozdniakov, Roberto Martinez-Maldonado, Tom Bartindale, Peter Chen, Dan Richardson and Mutlu Cukurova

Investigating Students’ Experiences with Collaboration Analytics for Remote Group Meetings

Carmel Kent, Muhammad Ali Chaudhry, Mutlu Cukurova, Ibrahim Bashir, Hannah Pickard, Chris Jenkins, Benedict Du Boulay and Rosemary Luckin

Machine learning models and their development process as learning affordances for humans

Wookhee Min, Randall Spain, Jason Saville, Bradford Mott, Keith Brawner, Joan Johnston and James Lester

Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework

Robert Botarleanu, Mihai Dascalu, Micah Watanabe, Danielle McNamara and Scott Crossley

Multilingual Age of Exposure

Xiaofei Zhou, Jingwan Tang, Michael Daley, Saad Ahmad and Zhen Bai

Now, I Want to Teach it for Real!: Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers

Aritra Ghosh, Jay Raspat and Andrew Lan

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing

Elaine Farrow, Johanna Moore and Dragan Gasevic

Ordering effects in a role-based scaffolding intervention for asynchronous online discussions

Sébastien Lallé, Rohit Murali, Cristina Conati and Roger Azevedo

Predicting Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor

Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze and Ralph Ewerth

Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption

Kumar Abhinav, Vijaya Sharvani Hindnavis, Alpana Dubey, Meenakshi D’Souza, Nitish Bhardwaj, Sakshi Jain and Veenu Arora

RepairNet: Contextual Sequence-to-Sequence network for automated program repair

Seth Adjei, Ryan Baker and Vedant Bahel

Seven-year longitudinal implications of wheel spinning and productive persistence

Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes and Min Chi

Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks

Danner Schlotterbeck, Pablo Uribe, Abelino Jimenez, Roberto Araya, Johan Van der Molen and Daniela Caballero

TARTA: Teacher Activity Recognizer from Transcriptions and Audio

Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi Behnagh, Semih Bursali and Siqian Zhao

Temporal Processes Associating with Procrastination Dynamics

Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin Lynch and Eric Wiebe

The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students’ Collaborative Dialogue

Zichao Wang, Kyle Manning, Debshila Basu Mallick and Richard Baraniuk

Towards Bloom’s Taxonomy Classification Without Any Labels



Mohammed Anany, Ahmed Elshafey, Amr Mohamed, Nourhan Sakr and Sherif Aly

[Anonymous Project Name]: A Multi-modal AI-Based Platform for Remote Proctoring in Education

Francois St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova, Laurent Charlin, Yoshua Bengio, Iulian Vlad Serban and Ekaterina Kochmar

A Comparative Study of Learning Outcomes for Online Learning Platforms

Yiqiu Zhou, Juan Miguel Andres-Bray, Stephen Hutt, Korinn Ostrow and Ryan Baker

A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners

Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu and Zitao Liu

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation

Khulood Alharbi, Alexandra Cristea, Lei Shi, Peter Tymms and Chris Brown

Agent-based Simulation of the Classroom Environment to Gauge the Effect of Disruptive Schoolchildren’s Behaviour over Neighbours

Cathy Adams, Patti Pente and Gillian Lemermeyer

AI Ethics Guidelines for K-12 Education: A Review of the Policy Landscape

Ruhan Wang, Jiahao Lyu, Qingyun Xiong and Junqi Guo

AI-Powered Teaching Behavior Analysis by Using 3D-MobileNet and Statistical Optimization

Samantha Garcia, Elaine Cristina Moreira Marques, Rafael Ferreira Mello, Dragan Gašević and Taciana Pontual Falcão

Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution

Jiahao Chen, Hang Li, Wenbiao Ding and Zitao Liu

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms

Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li and Rebecka Weegar

An Ensemble Approach for Question-level Knowledge Tracing – Towards Precise Adaptive Learning

Amruth Kumar

An Epistemic Model-Based Tutor for Imperative Programming

Máverick Ferreira, Rafael Ferreira, Rafael Lins and Dragan Gasevic

Analytics of Emerging and Scripted Roles in Online Discussions: Epistemic Network Analysis Approach

Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Michael Sheng, Stephen Elbourn, Hamid Alinejad-Rokny and Elizabeth Galanis

Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Instructors’ Workload in Marking Exams

Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li and Rebecka Weegar

Automatic and Intelligent Feedback Provision to Support Students’ Self-Regulation using Explainable Machine Learning

Marcus Tyler, Alex Liu and Ravi Srinivasan

Behavioral Phenotyping for Predictive Model Equity and Interpretability in STEM Education

Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal and Aayesha Zia

Bringing AI to Collaborative Learning – an NLP based clustering approach for collaborative group formation

Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi and Alexandra Cristea

Capturing Fairness and Uncertainty in Student Dropout Prediction Comparison Study

Ning Wang

Charisma and Learning: Designing Charismatic Behaviors for Virtual Human Tutors

Peter Schaldenbrand, Nikki Lobczowski, Elizabeth Richey, Shivang Gupta, Elizabeth McLaughlin, Adetunji Adeniran and Kenneth Koedinger

Computer-Supported Human Mentoring for Personalized and Equitable Math Learning

Giuseppe Fiorentino, Péricles Miranda, André Nascimento, Ana Paula Furtado, Henrik Bellhäuser, Dragan Gasevic and Rafael Ferreira

Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course

Lurlynn Maharaj-Pariagsingh and Phaedra Mohammed

DanceTutor: An ITS for Coaching Novice Ballet Dancers using Pose Recognition of Whole-body Movements

Timothy H. Bell, Christel Dartigues-Pallez, Florent Jaillet and Christophe Genolini

Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success Prediction

Elizabeth B. Cloude, Nikki Anne M. Ballelos, Roger Azevedo, Analia Castiglioni, Jeffrey LaRochelle, Anya Andrews and Caridad Hernandez

Designing intelligent systems to support medical diagnostic reasoning using multimodal data

Bikram Boote, Mansi Agarwal and Jack Mostow

Early Prediction of Children’s Disengagement in a Tablet Tutor using Visual Features

Peter Bautista and Paul Salvador Inventado

Education Data Generation with Generative Adversarial Networks

Michael Yudelson

Elo-infused Bayesian Knowledge Tracing – an approach to operationalized individualization

Anett Hoppe, David Morris and Ralph Ewerth

Evaluation of Automated Image Descriptions for Visually Impaired Students

Daryn Dever, Elizabeth Cloude and Roger Azevedo

Examining Learners’ Reflections over Time during Game-based Learning

Rachel Dickler, Amy Adair, Janice Gobert, Huma Hussain-Abidi, Joseph Olsen, Mariel O’Brien and Michael Sao Pedro

Examining the Use of a Teacher Alerting Dashboard During Remote Learning

Angela Stewart, Jaemarie Solyst, Amanda Buddemeyer, Leshell Hatley, Sharon Henderson-Singer, Kimberly Scott, Erin Walker and Amy Ogan

Explaining Engagement: Underrepresented Learner Behaviors in a Virtual Coding Camp

Beata Beigman Klebanov and Anastassia Loukina

Exploiting structured error to improve automated scoring of oral reading fluency

Stefan Ruseti, Maria-Dorinela Dascalu, Dragos Corlatescu, Mihai Dascalu, Stefan Trausan-Matu and Danielle McNamara

Exploring Dialogism using Language Models

Angela Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna Rafferty, Andrew Petersen and Joseph Jay Williams

Exploring The Use of Adaptive Experiments To More Rapidly Use Data To Help Students

Loek Spitz, Marco Kragten and Bert Bredeweg

Exploring the working and effectiveness of norm-model feedback in conceptual modelling

Marco Kähler, Rolf Feichtenbeiner and Susan Beudt

Facilitating the Implementation of AI-based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A practical Design Thinking Approach

George Boateng and Samuel John

I didn’t copy his code: Code Plagiarism Detection with Visual Proof

Varun John, Ashish Chouhan, Riya Lalwani, Prashant Ram Sonar, Aakash Mahajan, Naresh Kumar Pendyala, Alexander Streicher and Ajinkya Prabhune

I-Mouse: A Framework for Player Assistance in Adaptive Serious Games

James Cunningham, Raktim Mukhopadhyay, Rishabh Ranjit Kumar Jain, Jeffrey Matayoshi, Eric Cosyn and Hasan Uzun

Identifying At-Risk Calculus Students Before Course Start

Ethan Prihar, Alexander Moore and Neil Heffernan

Identifying Struggling Students by Comparing Online Tutor Clickstreams

Martin Hlosta, Christothea Herodotou, Miriam Fernandez and Vaclav Bayer

Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM

Geoffrey Converse, Suely Oliveira and Shi Pu

Incorporating Item Response Theory into Knowledge Tracing

Itsuki Aomi, Emiko Tsutsumi, Masaki Uto and Maomi Ueno

Integration of Automated Essay Scoring Models using Item Response Theory

R. Yamamoto Ravenor

Intelligent agents influx in schools: teacher cultures, toleration levels and predictable variations

Ishrat Ahmed, Adam Clark, Stefania Metzger, Ruth Wylie, Yoav Bergner and Erin Walker

Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS

Carla Guerra, Francisco S. Melo and Manuel Lopes

Interactive Teaching with Groups of Unknown Bayesian Learners

Philipp Schaper, Anna Riedmann and Birgit Lugrin

Internalisation of Situational Motivation by Addressing the Needs for Competence, Autonomy and Relatedness in an E-Learning Scenario using Gamification

Faiza Tahir, Antonija Mitrovic and Valerie Sotardi

Investigating effects of selecting challenging goals

George Boateng

Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses

Vaclav Bayer, Martin Hlosta and Miriam Fernandez

Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?

Machi Shimmei and Noboru Matsuda

Learning Association between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions

Aya Salama, Nourhan Sakr, Nadeen Tameesh and Gihan Osman

Leave No Professor Behind: A Just-In-TimeCollaborative AI Recommender System

Amruth Kumar

Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors

Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric Wiebe, Bradford Mott and James Lester

Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science

John Mui, Fuhua Lin and Ali Dewan

Multi-Armed Bandit Algorithms for Online Adaptive Learning: A Survey

Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin and Zitao Liu

Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models

Andrew Emerson, Nathan Henderson, Wookhee Min, Jonathan Rowe, James Minogue and James Lester

Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq and Ali Darvishi

Open Learner Models for Multi-Activity Educational Systems

Yuanxin Ouyang, Yucong Zhou, Hongbo Zhang, Wenge Rong and Zhang Xiong

PAKT: A Position-Aware Self-Attentive Approach for Knowledge Tracing

Andrew Olney

Paraphrasing Academic Text: A Study of Backtranslating Anatomy and Physiology with Transformers

Arun Balajiee Lekshmi Narayanan, Ligia Gomez, Tri Nguyen, Ju Eun Lim, M. Adelaida Restrepo, Chris Blais, Arthur Glenberg and Erin Walker

Parent-EMBRACE: An Adaptive Dialogic Reading Intervention

Victoria Abou-Khalil, Brendan Flanagan and Hiroaki Ogata

Personal vocabulary recommendation to support real life needs

Ezekiel Adriel Lagmay and Ma. Mercedes T. Rodrigo

Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic

Adetunji Adeniran and Judith Masthoff

Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse

Yue Yun, Huan Dai, Ruoqi Cao, Yuyupei Zhang and Xuequn Shang

Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection

Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang and Zitao Liu

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models

Kurt Vanlehn, Fabio Milner, Chandrani Banerjee and Jon Wetzel

Teaching underachieving algebra students to construct models using a simple intelligent tutoring system

Dragos Corlatescu, Mihai Dascalu and Danielle McNamara

The Automated Model of Comprehension (AMoC) version 2.0

Betty Tärning, Magnus Haake and Agneta Gulz

The Magical Garden – Supporting Early Mathematics for Preschoolers with different Linguistic Backgrounds

Francisco Bellas, Sara Guerreiro and Oscar Fontenla-Romero

The School Path Guide: a Practical Introduction to Representation and Reasoning in AI for High School Students

Shitanshu Mishra, Rwitajit Majumdar, Aditi Kothiyal, Prajakt Pande and Jayakrishnan Warriem

Thinking Critically: Tracing Embodied Narratives of Critical Thinking Process

Daniel Weitekamp, Erik Harpstead and Kenneth Koedinger

Toward Stable Asymptotic Learning with Simulated Learners

Rafael Ferreira, Giuseppe Fiorentino, Hilário Tomaz, Péricles Miranda, Mladen Rakovic and Dragan Gasevic

Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays

Ryan Baker, Bruce McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie and Juliana Ma Alexandra Andres

Towards sharing student models across learning systems

Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin and Tamara Sumner

Using AI to promote equitable classroom instruction: The TalkMoves Application

Jithendaraa Subramanian and Jack Mostow

Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies

Chenglu Li, Wanli Xing and Walter Leite

Using Fair AI with Debiased Network Embeddings to Support Discussions in an Online Math Learning Platform

Daneih Ismail and Peter Hastings

Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety

Jeffrey Yarbro and Andrew Olney

WikiMorph: Learning to Decompose Words into Morphological Structures