Program Overview
For a detailed timetable of the conference including all sessions, papers, Zoom links, etc., please, follow this link
Schedule
| Sydney | Beijing | Amsterdam | New York | San Francisco | June 16 | June 17 | June 18 | ||
|---|---|---|---|---|---|---|---|---|---|
| 21:30 | 19:30 | 13:30 | 07:30 | 04:30 | Short papers 2 | Industry track | Interactive events | ||
| 22:00 | 20:00 | 14:00 | 08:00 | 05:00 | |||||
| 22:30 | 20:30 | 14:30 | 08:30 | 05:30 | Opening | Short papers 3 | Panel 2 – Intelligent Assessment | ||
| 23:00 | 21:00 | 15:00 | 09:00 | 06:00 | Keynote 1: Dan Russell (Google) | ||||
| 23:30 | 21:30 | 15:30 | 09:30 | 06:30 | Panel 1 – Equity and Diversity in AIED | ||||
| 00:00 | 22:00 | 16:00 | 10:00 | 07:00 | Full Papers 1 | Full Papers 4 | |||
| 00:30 | 22:30 | 16:30 | 10:30 | 07:30 | |||||
| 01:00 | 23:00 | 17:00 | 11:00 | 08:00 | Social Hour | “Meet the expert” with Ryan Baker | “Meet the expert” with Cristina Conati (till 17:45) | ||
| 01:30 | 23:30 | 17:30 | 11:30 | 08:30 | |||||
| 02:00 | 00:00 | 18:00 | 12:00 | 09:00 | |||||
| 02:30 | 00:30 | 18:30 | 12:30 | 09:30 | |||||
| 03:00 | 01:00 | 19:00 | 13:00 | 10:00 | |||||
| 03:30 | 01:30 | 19:30 | 13:30 | 10:30 | |||||
| 04:00 | 02:00 | 20:00 | 14:00 | 11:00 | “Meet the expert” with Peter Brusilovsky | “Meet the expert” with Neil Heffernan | |||
| 04:30 | 02:30 | 20:30 | 14:30 | 11:30 | |||||
| 05:00 | 03:00 | 21:00 | 15:00 | 12:00 | Interactive events | Journal track |
Executive Meeting | ||
| 05:30 | 03:30 | 21:30 | 15:30 | 12:30 | |||||
| 06:00 | 04:00 | 22:00 | 16:00 | 13:00 | Full Papers 2 | Full Papers 3 | Keynote 2: Judy Kay (U of Sydney) | ||
| 06:30 | 04:30 | 22:30 | 16:30 | 13:30 | |||||
| 07:00 | 05:00 | 23:00 | 17:00 | 14:00 | Short papers 1 | Short papers 4 | General Assembly + Closing | ||
| 07:30 | 05:30 | 23:30 | 17:30 | 14:30 | |||||
| 08:00 | 06:00 | 00:00 | 18:00 | 15:00 | DC Meet and Greet | “Meet the IJAIED Editors” with Judy Kay and Vincent Aleven | “Meet the expert” with Simon Buckingham Shum | ||
| 08:30 | 06:30 | 00:30 | 18:30 | 15:30 | |||||
Full Papers
Slot #1
Session: Classification and Prediction
| ID | Title | Authors |
|---|---|---|
| 151 | A Systematic Review of Data-driven Approaches to Item Difficulty Prediction | Samah Alkhuzaey, Floriana Grasso, Terry Payne and Valentina Tamma |
| 105 | Towards Bloom’s Taxonomy Classification Without Any Labels | Zichao Wang, Kyle Manning, Debshila Basu Mallick and Richard Baraniuk |
| 158 | Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT | Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew and Dongwon Lee |
| 165 | Multilingual Age of Exposure | Robert Botarleanu, Mihai Dascalu, Micah Watanabe, Danielle McNamara and Scott Crossley |
Session: Reading and Writing
| ID | Title | Authors |
|---|---|---|
| 175 | A Good Start is Half the Battle Won: Unsupervised Pre-Training for Low Resource Children’s Speech Recognition for an Interactive Reading Companion | Abhinav Misra, Anastassia Loukina, Beata Beigman Klebanov, Binod Gyawali and Klaus Zechner |
| 56 | Automatic Task Requirements Writing Evaluation With Feedback via Machine Reading Comprehension | Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu and Zitao Liu |
| 102 | *A Multidimensional Item Response Theory Model for Rubric-based Writing Assessment [Best Paper Award Nominee] |
Masaki Uto |
| 166 | A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing | Diane Litman, Haoran Zhang, Richard Correnti, Lindsay Matsumura and Elaine Wang |
Session: Student Modeling
| ID | Title | Authors |
|---|---|---|
| 11 | Machine learning models and their development process as learning affordances for humans | Carmel Kent, Muhammad Ali Chaudhry, Mutlu Cukurova, Ibrahim Bashir, Hannah Pickard, Chris Jenkins, Benedict Du Boulay and Rosemary Luckin |
| 69 | *Better Model, Worse Predictions: The Dangers in Student Model Comparisons
[Best Student Paper Award Nominee] |
Jaroslav Čechák and Radek Pelánek |
| 218 | An approach for detecting student perceptions of the programming experience from interaction log data | Jamie Gorson, Nicholas LaGrassa, Cindy Hsinyu Hu, Elise Lee, Ava Marie Robinson and Eleanor O’Rourke |
| 184 | Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework | Wookhee Min, Randall Spain, Jason Saville, Bradford Mott, Keith Brawner, Joan Johnston and James Lester |
Slot #2
Session: Modeling: Learning and Fairness
| ID | Title | Authors |
|---|---|---|
| 1 | Seven-year longitudinal implications of wheel spinning and productive persistence | Seth Adjei, Ryan Baker and Vedant Bahel |
| 148 | Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption | Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze and Ralph Ewerth |
| 29 | Option Tracing: Beyond Correctness Analysis in Knowledge Tracing | Aritra Ghosh, Jay Raspat and Andrew Lan |
| 15 | Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts | Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic and Guanliang Chen |
Session: Teachers and teaching
| ID | Title | Authors |
|---|---|---|
| 159 | TARTA: Teacher Activity Recognizer from Transcriptions and Audio | Danner Schlotterbeck, Pablo Uribe, Abelino Jimenez, Roberto Araya, Johan Van der Molen and Daniela Caballero |
| 187 | RepairNet: Contextual Sequence-to-Sequence network for automated program repair | Kumar Abhinav, Vijaya Sharvani Hindnavis, Alpana Dubey, Meenakshi D’Souza, Nitish Bhardwaj, Sakshi Jain and Veenu Arora |
| 9 | Affective Teacher Tools: an Affective Class Report Card and an Affective Dashboard | Ankit Gupta, Neeraj Menon, William Lee, Danielle Allessio, Tom Murray, Beverly Park Woolf, Jacob Whitehill and Ivon Arroyo |
| 93 | *“Now, I Want to Teach it for Real!”: Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers [Best Paper Award Nominee] [Best Student Paper Award Nominee] |
Xiaofei Zhou, Jingwan Tang, Michael Daley, Saad Ahmad and Zhen Bai |
Slot #3
Session: Collaborative Learning
| ID | Title | Authors |
|---|---|---|
| 231 | Ordering effects in a role-based scaffolding intervention for asynchronous online discussions | Elaine Farrow, Johanna Moore and Dragan Gasevic |
| 168 | The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students’ Collaborative Dialogue | Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin Lynch and Eric Wiebe |
| 49 | *Discovering Co-creative Dialogue States during Collaborative Learning [Best Student Paper Award Nominee] |
Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko and Tom McKlin |
| 136 | Investigating Students’ Experiences with Collaboration Analytics for Remote Group Meetings | Qi Zhou, Wannapon Suraworachet, Stanislav Pozdniakov, Roberto Martinez-Maldonado, Tom Bartindale, Peter Chen, Dan Richardson and Mutlu Cukurova |
Session: Interpreting Student Responses
| ID | Title | Authors |
|---|---|---|
| 73 | DiSCS: A New Sequential Data Mining Method for Open-Ended Learning Environments | James Bywater, Mark Floryan and Jennifer Chiu |
| 180 | Extracting and Clustering Main Ideas from Student Feedback using Language Models | Mihai Masala, Stefan Ruseti, Mihai Dascalu and Ciprian Dobre |
| 88 | *Investigating students’ reasoning in a code-tracing tutor [Best Paper Award Nominee] [Best Student Paper Award Nominee] |
Jay Jennings and Kasia Muldner |
| 23 | Interpretable Clustering of Students’ Solutions in Introductory Programming | Tomas Effenberger and Radek Pel├ínek |
Session: Tutoring and Pedagogical Agents
| ID | Title | Authors |
|---|---|---|
| 46 | Can you clarify what you said? — Studying the impact of tutee agent’s follow-up questions on tutor’s learning | Tasmia Shahriar and Noboru Matsuda |
| 224 | Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learning | Sameena Hossain, Azamat Kamzin, Venkata Naga Sai Apurupa Amperayani, Prajwal Paudyal, Ayan Banerjee and Sandeep Gupta |
| 242 | Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks | Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes and Min Chi |
| 109 | Evaluating Critical Reinforcement Learning Framework In the Field | Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes and Min Chi |
Slot #4
Session: Adaptivity and Personalization
| ID | Title | Authors |
|---|---|---|
| 35 | Deep Performance Factors Analysis for Knowledge Tracing | Shi Pu, Geoff Converse and Yuchi Huang |
| 241 | Annotating Student Engagement Across Grades: Influence of Demographics and Expression | Nese Alyuz, Sinem Aslan, Sidney D’Mello, Lama Nachman and Asli Arslan Esme |
| 217 | *Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks [Best Student Paper Award Nominee] |
Fahmid Morshed Fahid, Jonathan P. Rowe, Randall Spain, Benjamin S. Goldberg, Robert Pokorny and James Lester |
| 207 | Explainable Recommendations in a Personalized Programming Practice System | Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Želem-Ćelap, Peter Brusilovsky, Aleksandra Klasnja Milicevic and Mirjana Ivanovic |
Session: Affect and Motivation
| ID | Title | Authors |
|---|---|---|
| 237 | Temporal Processes Associating with Procrastination Dynamics | Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi Behnagh, Semih Bursali and Siqian Zhao |
| 26 | Predicting Co-Occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor | Sébastien Lallé, Rohit Murali, Cristina Conati and Roger Azevedo |
| 7 | *Affect-Targeted Interviews for Understanding Student Frustration [Best Paper Award Nominee] |
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 |
| 103 | *Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game [Best Paper Award Nominee] |
J Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel Andres-Bray, Richard Scruggs, Michael Mogessie, Ryan S. Baker and Bruce M. McLaren |
Short Papers
Slot #1
Session: Motivation and SRL
| ID | Title | Authors |
|---|---|---|
| 27 | Way to Go! Effects of Motivational Support and Agents on Reducing Foreign Language Anxiety | Daneih Ismail and Peter Hastings |
| 64 | Internalisation of Situational Motivation in an E-Learning Scenario using Gamification | Philipp Schaper, Anna Riedmann and Birgit Lugrin |
| 92 | Open Learner Models for Multi-Activity Educational Systems | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq and Ali Darvishi |
| 147 | Explaining Engagement: Underrepresented Learner Behaviors in a Virtual Coding Camp | Angela Stewart, Jaemarie Solyst, Amanda Buddemeyer, Leshell Hatley, Sharon Henderson-Singer, Kimberly Scott, Erin Walker and Amy Ogan |
| 226 | Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits | Andrew Emerson, Nathan Henderson, Wookhee Min, Jonathan Rowe, James Minogue and James Lester |
Session: Help and Tutoring
| ID | Title | Authors |
|---|---|---|
| 39 | Charisma and Learning: Designing Charismatic Behaviors for Virtual Human Tutors | Ning Wang |
| 48 | Using Adaptive Experiments to Rapidly Help Students | Angela Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna Rafferty, Andrew Petersen and Joseph Jay Williams |
| 172 | Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses | George Boateng |
| 177 | “I didn’t copy his code”: Code Plagiarism Detection with Visual Proof | George Boateng and Samuel John |
| 185 | Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform | Chenglu Li, Wanli Xing and Walter Leite |
| 225 | Exploring the working and effectiveness of norm-model feedback in conceptual modelling | Loek Spitz, Marco Kragten and Bert Bredeweg |
| 233 | Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors | Amruth Kumar |
| 101 | An Epistemic Model-Based Tutor for Imperative Programming | Amruth Kumar |
Session: Teachers and Teaching
| ID | Title | Authors |
|---|---|---|
| 45 | Examining the Use of a Teacher Alerting Dashboard During Remote Learning | Rachel Dickler, Amy Adair, Janice Gobert, Huma Hussain-Abidi, Joseph Olsen, Mariel O’Brien and Michael Sao Pedro |
| 112 | Intelligent Agents Influx in Schools: Teacher Cultures, Anxiety Levels and Predictable Variations | R. Yamamoto Ravenor |
| 146 | Learning Association between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions | Machi Shimmei and Noboru Matsuda |
| 173 | Parent-EMBRACE: An Adaptive Dialogic Reading Intervention | Arun Balajiee Lekshmi Narayanan, Ligia Gomez, Tri Nguyen, Ju Eun Lim, M. Adelaida Restrepo, Chris Blais, Arthur Glenberg and Erin Walker |
| 197 | EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system | Aya Salama, Nourhan Sakr, Nadeen Tameesh and Gihan Osman |
| 229 | Teaching underachieving algebra students to construct models using a simple intelligent tutoring system | Kurt Vanlehn, Fabio Milner, Chandrani Banerjee and Jon Wetzel |
Slot #2
Session: Groups and Collaboration
| ID | Title | Authors |
|---|---|---|
| 50 | Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course | Giuseppe Fiorentino, Péricles Miranda, André Nascimento, Ana Paula Furtado, Henrik Bellhäuser, Dragan Gasevic and Rafael Ferreira |
| 83 | Quantitative Analysis to Further Validate WC-GCMS, a Computational Metric of Collaboration in Online Textual Discourse | Adetunji Adeniran and Judith Masthoff |
| 130 | A word embeddings based clustering approach for collaborative learning group formation | Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal and Aayesha Zia |
| 153 | Interactive Teaching with Groups of Unknown Bayesian Learners | Carla Guerra, Francisco S. Melo and Manuel Lopes |
| 160 | Facilitating the Implementation of AI-based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A practical Design Thinking Approach | Marco Kähler, Rolf Feichtenbeiner and Susan Beudt |
| 161 | Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours | Khulood Alharbi, Alexandra Cristea, Lei Shi, Peter Tymms and Chris Brown |
Session: Learning Analytics and Student Modeling
| ID | Title | Authors |
|---|---|---|
| 28 | Towards sharing student models across learning systems | Ryan Baker, Bruce McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie and Juliana Ma Alexandra Andres |
| 57 | Pre-course Prediction of At-Risk Calculus Students | James Cunningham, Raktim Mukhopadhyay, Rishabh Ranjit Kumar Jain, Jeffrey Matayoshi, Eric Cosyn and Hasan Uzun |
| 71 | Tracing Embodied Narratives of Critical Thinking | Shitanshu Mishra, Rwitajit Majumdar, Aditi Kothiyal, Prajakt Pande and Jayakrishnan Warriem |
| 79 | Aligning Expectations About the Adoption of Learning Analytics in a Brazilian Higher Education Institution | Samantha Garcia, Elaine Cristina Moreira Marques, Rafael Ferreira Mello, Dragan Gašević and Taciana Pontual Falcão |
| 127 | Generation of automatic data-driven feedback to students using Explainable Machine Learning | Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li and Rebecka Weegar |
| 135 | Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM | Martin Hlosta, Christothea Herodotou, Miriam Fernandez and Vaclav Bayer |
| 154 | Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection | Yue Yun, Huan Dai, Ruoqi Cao, Yupei Zhang and Xuequn Shang |
| 178 | Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? | Vaclav Bayer, Martin Hlosta and Miriam Fernandez |
Slot #3
Session: Language and NLP
| ID | Title | Authors |
|---|---|---|
| 51 | Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays | Rafael Ferreira, Giuseppe Fiorentino, Hilário Tomaz, Péricles Miranda, Mladen Rakovic and Dragan Gasevic |
| 54 | Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models | Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang and Zitao Liu |
| 65 | Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models | Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin and Zitao Liu |
| 100 | Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Instructors’ Workload in Marking Exams | Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Michael Sheng, Stephen Elbourn, Hamid Alinejad-Rokny and Elizabeth Galanis |
| 117 | Integration of Automated Essay Scoring Models using Item Response Theory | Itsuki Aomi, Emiko Tsutsumi, Masaki Uto and Maomi Ueno |
| 163 | Exploring Dialogism using Language Models | Stefan Ruseti, Maria-Dorinela Dascalu, Dragos Corlatescu, Mihai Dascalu, Stefan Trausan-Matu and Danielle McNamara |
| 170 | The Automated Model of Comprehension (AMoC) v2.0 | Dragos Corlatescu, Mihai Dascalu and Danielle McNamara |
| 232 | Exploiting structured error to improve automated scoring of oral reading fluency | Beata Beigman Klebanov and Anastassia Loukina |
Session: Teaching and Tutoring
| ID | Title | Authors |
|---|---|---|
| 19 | Early Prediction of Children’s Disengagement in a Tablet Tutor using Visual Features | Bikram Boote, Mansi Agarwal and Jack Mostow |
| 66 | A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation | Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu and Zitao Liu |
| 74 | AI-Powered Teaching Behavior Analysis by Using 3D-MobileNet and Statistical Optimization | Ruhan Wang, Jiahao Lyu, Qingyun Xiong and Junqi Guo |
| 75 | The School Path Guide: a Practical Introduction to Representation and Reasoning in AI for High School Students | Francisco Bellas, Sara Guerreiro and Oscar Fontenla-Romero |
| 99 | Investigating effects of selecting challenging goals | Faiza Tahir, Antonija Mitrovic and Valerie Sotardi |
| 142 | Personal vocabulary recommendation to support real life needs | Victoria Abou-Khalil, Brendan Flanagan and Hiroaki Ogata |
| 156 | I-Mouse: A Framework for Player Assistance in Adaptive Serious Games | Riya Lalwani, Ashish Chouhan, Varun John, Prashant Ram Sonar, Aakash Mahajan, Naresh Kumar Pendyala, Alexander Streicher and Ajinkya Prabhune |
| 199 | Evaluation of Automated Image Descriptions for Visually Impaired Students | Anett Hoppe, David Morris and Ralph Ewerth |
Session: Online learning
| ID | Title | Authors |
|---|---|---|
| 30 | Quantifying the Impact of Severe Weather Conditions on Online Learning During the COVID-19 Pandemic | Ezekiel Adriel Lagmay and Ma. Mercedes T. Rodrigo |
| 52 | Analytics of Emerging and Scripted Roles in Online Discussions: Epistemic Network Analysis Approach | Máverick Ferreira, Rafael Ferreira, Rafael Lins and Dragan Gasevic |
| 55 | An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms | Jiahao Chen, Hang Li, Wenbiao Ding and Zitao Liu |
| 95 | A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners | Yiqiu Zhou, Juan Miguel Andres-Bray, Stephen Hutt, Korinn Ostrow and Ryan Baker |
| 121 | Capturing Fairness and Uncertainty in Student Dropout Prediction Comparison Study | Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi and Alexandra Cristea |
| 195 | A Comparative Study of Learning Outcomes for Online Learning Platforms | 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 |
Slot #4
Session: Adaptivity
| ID | Title | Authors |
|---|---|---|
| 17 | Incorporating Item Response Theory into Knowledge Tracing | Geoffrey Converse, Suely Oliveira and Shi Pu |
| 98 | Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science | Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric Wiebe, Bradford Mott and James Lester |
| 131 | An Ensemble Approach for Question-level Knowledge Tracing | Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li and Rebecka Weegar |
| 169 | Data Augmentation for Enlarging Student Feature Space and Improving Random Forest Success Prediction | Timothy H. Bell, Christel Dartigues-Pallez, Florent Jaillet and Christophe Genolini |
| 171 | Multi-Armed Bandit Algorithms for Adaptive Learning: A Survey | John Mui, Fuhua Lin and Ali Dewan |
| 253 | Elo-infused Bayesian Knowledge Tracing – an approach to operationalized individualization | Michael Yudelson |
Session: Equity and Ethics
| ID | Title | Authors |
|---|---|---|
| 14 | Identifying Struggling Students by Comparing Online Tutor Clickstreams | Ethan Prihar, Alexander Moore and Neil Heffernan |
| 58 | Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks | Peter Bautista and Paul Salvador Inventado |
| 81 | Behavioral Phenotyping for Predictive Model Equity and Interpretability in STEM Education | Marcus Tyler, Alex Liu and Ravi Srinivasan |
| 84 | Computer-Supported Human Mentoring for Personalized and Equitable Math Learning | Peter Schaldenbrand, Nikki Lobczowski, Elizabeth Richey, Shivang Gupta, Elizabeth McLaughlin, Adetunji Adeniran and Kenneth Koedinger |
| 91 | Dr. Proctor: A Multi-modal AI-Based Platform for Remote Proctoring in Education | Ahmed E. Elshafey, Mohammed R. Anany, Amr S. Mohamed, Nourhan Sakr, and Sherif G. Aly |
| 219 | Artificial Intelligence Ethics Guidelines for K-12 Education: A Review of the Global Landscape | Cathy Adams, Patti Pente and Gillian Lemermeyer |
| 227 | Using AI to promote equitable classroom instruction: The TalkMoves Application | Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin and Tamara Sumner |
Session: Student modeling
| ID | Title | Authors |
|---|---|---|
| 47 | Designing intelligent systems to support medical diagnostic reasoning using process data | Elizabeth B. Cloude, Nikki Anne M. Ballelos, Roger Azevedo, Analia Castiglioni, Jeffrey LaRochelle, Anya Andrews and Caridad Hernandez |
| 96 | Toward Stable Asymptotic Learning with Simulated Learners | Daniel Weitekamp, Erik Harpstead and Kenneth Koedinger |
| 137 | DanceTutor: An ITS for Coaching Novice Ballet Dancers using Pose Recognition of Whole-body Movements | Lurlynn Maharaj-Pariagsingh and Phaedra Mohammed |
| 139 | Examining Learners’ Reflections over Time during Game-based Learning | Daryn Dever, Elizabeth Cloude and Roger Azevedo |
| 189 | Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS | Ishrat Ahmed, Adam Clark, Stefania Metzger, Ruth Wylie, Yoav Bergner and Erin Walker |
| 202 | Paraphrasing Academic Text: A Study of Back-translating Anatomy and Physiology with Transformers | Andrew Olney |
| 222 | WikiMorph: Learning to Decompose Words into Morphological Structures | Jeffrey Yarbro and Andrew Olney |
| 42 | PAKT: A Position-Aware Self-Attentive Approach for Knowledge Tracing | Yuanxin Ouyang, Yucong Zhou, Hongbo Zhang, Wenge Rong and Zhang Xiong |
Journal Track
Session: NLP and Learning
| Title | Author |
|---|---|
| Applying Natural Language Processing and Hierarchical Machine Learning Approaches to Text Difficulty Classification | Renu Balyan, Kathryn S. McCarthy & Danielle S. McNamara |
| Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection | Michael Geden, Andrew Emerson, Dan Carpenter, Jonathan Rowe, Roger Azevedo & James Lester |
| Mapping Artificial Intelligence in Education Research: A Network-based Keyword Analysis | Shihui Feng & Nancy Law |
| Complexity and Difficulty of Items in Learning Systems | Radek Pelánek, Tomáš Effenberger & Jaroslav Čechák |
Session: Teaching and Tutoring
| Title | Author |
|---|---|
| Meta-Affective Behaviour within an Intelligent Tutoring System for Mathematics | Genaro Rebolledo-Mendez, N. Sofia Huerta-Pacheco, Ryan S. Baker & Benedict du Boulay |
| The Impact of Autonomy and Types of Informational Text Presentations in Game-Based Environments on Learning: Converging Multi-Channel Processes Data and Learning Outcomes | Daryn A. Dever, Roger Azevedo, Elizabeth B. Cloude & Megan Wiedbusch |
| Teaching Algebraic Model Construction: A Tutoring System, Lessons Learned and an Evaluation | Kurt VanLehn, Chandrani Banerjee, Fabio Milner & Jon Wetzel |
| Domain-General Tutor Authoring with Apprentice Learner Models | Christopher J. MacLellan & Kenneth R. Koedinger |
Session: Intelligent Tutoring
| Title | Author |
|---|---|
| Knowledge-Based Design Analytics for Authoring Courses with Smart Learning Content | Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky & Davinia Hernández-Leo |
| Domain-Specific Modeling Languages in Computer-Based Learning Environments: A Systematic Approach to Support Science Learning through Computational Modeling | Nicole M. Hutchins, Gautam Biswas, Ningyu Zhang, Caitlin Snyder, Ákos Lédeczi & Miklós Maróti |
| Intelligent Feedback on Hypothesis Testing | Sietske Tacoma, Bastiaan Heeren, Johan Jeuring & Paul Drijvers |
| How Difficult is the Task for you? Modelling and Analysis of Students’ Task Difficulty Sequences in a Simulation-Based POE Environment | Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Anam Ahmad Khan, Gregor Kennedy, James Bailey & Ryan Shaun Baker |
| Generation and Use of Hints and Feedback in a Hilbert-Style Axiomatic Proof Tutor | Josje Lodder, Bastiaan Heeren, Johan Jeuring & Wendy Neijenhuis |
Session: Ethics and Diversity
| Title | Author |
|---|---|
| Ethics of AI in Education: Towards a Community-Wide Framework | Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt & Kenneth R. Koedinger |
| The Sensitivity of a Scenario-Based Assessment of Written Argumentation to School Differences in Curriculum and Instruction | Paul Deane, Joshua Wilson, Mo Zhang, Chen Li, Peter van Rijn, Hongwen Guo, Amanda Roth, Eowyn Winchester & Theresa Richter |
| Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs | Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea & Craig D. Stewart |
| Teaching Responsible Data Science: Charting New Pedagogical Territory | Armanda Lewis & Julia Stoyanovich |