- Tuesday 11 Jul 2023
- Wednesday 12 Jul 2023
- Thursday 13 Jul 2023
- Friday 14 Jul 2023
Tuesday 11 Jul 2023
8:00 am – 2:00 pm Registration
Registration
8:00 AM onwards @ Registration desk
9:00 am – 11:00 am Tutorial 1: Core Methods in Educational Data Mining (Hall A)
Tutorial 1: Core Methods in Educational Data Mining
Ryan Baker9:00 – 11:00 AM @ Hall A
9:00 am – 11:00 am Tutorial 2: Introduction to Neural Networks and Uses in EDM (Hall B)
Tutorial 2: Introduction to Neural Networks and Uses in EDM
Agathe Merceron and Ange Adrienne Nyamen Tato9:00 – 11:00 AM @ Hall B
Tutorial website: http://gdac.uqam.ca/Tutorial@EDM23/
11:00 am – 11:30 am Coffee break and networking (Auditorium Basement)
No workshops in this session.
11:30 am – 12:30 pm Tutorial 1 (cont’d., Hall A)
Tutorial 1: Core Methods in Educational Data Mining
Ryan Baker11:30 – 12:30 PM @ Hall A
11:30 am – 12:30 pm Tutorial 2 (cont’d, Hall B)
Tutorial 2: Introduction to Neural Networks and Uses in EDM
Agathe Merceron and Ange Adrienne Nyamen Tato11:30 – 12:30 PM @ Hall B
Tutorial website: http://gdac.uqam.ca/Tutorial@EDM23/
12:30 pm – 2:00 pm Lunch (Auditorium Basement)
No workshops in this session.
2:00 pm – 3:00 pm Opening Ceremony with Inaugural Address by N.R. Narayana Murthy (Auditorium)
Opening Ceremony with Inaugural Address by N.R. Narayana Murthy (Auditorium)
2:00 – 3:00 PM @ Auditorium
3:00 pm – 4:00 pm Keynote: Jeffrey D. Ullman (Auditorium)
Keynote: Jeffrey D. Ullman
Jeffrey D. Ullman3:00 – 4:00 PM @ Auditorium
4:00 pm – 4:30 pm Coffee break and networking 2 (Auditorium Basement)
No workshops in this session.
4:30 pm – 5:50 pm A1: Modeling and Analyzing Strategies (Hall A)
Unfolding Learners’ Response to Different Versions of Automated Feedback in a MOOC for Programming – A Sequence Analysis Approach
Hagit Gabbay and Anat Cohen4:30 – 4:50 PM @ Hall A
Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data
Anup Shakya, Vasile Rus and Deepak Venugopal4:50 – 5:10 PM @ Hall A
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problem within an Intelligent Logic Tutor
Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi and Tiffany Barnes5:10 – 5:30 PM @ Hall A
Using Markov Matrix to Analyze Students’ Strategies for Solving Parsons Puzzles
Amruth Kumar5:30 – 5:50 PM @ Hall A
4:30 pm – 5:50 pm A2: Fairness (Hall B)
Investigating the Importance of Demographic Features for EDM-Predictions
Lea Cohausz, Andrej Tschalzev, Christian Bartelt and Heiner Stuckenschmidt4:30 – 4:50 PM @ Hall B
Is Your Model “MADD”? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models
Mélina Verger, Sébastien Lallé, François Bouchet and Vanda Luengo4:50 – 5:10 PM @ Hall B
The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward
Stephen Hutt, Sanchari Das and Ryan Baker5:10 – 5:30 PM @ Hall B
How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference
Aaron Haim, Robert Gyurcsan, Chris Baxter, Stacy Shaw and Neil Heffernan5:30 – 5:50 PM @ Hall B
7:00 pm – 8:30 pm Welcome Reception Sponsored by Chankaya University, Bengaluru (Auditorium Basement)
Welcome Reception Sponsored by Chankaya University, Bengaluru (Auditorium Basement)
7:00 – 8:30 PM @ Auditorium Basement
Wednesday 12 Jul 2023
9:00 am – 10:00 am Keynote: Hiroaki Ogata (Auditorium)
Keynote: Hiroaki Ogata
Hiroaki Ogata9:00 – 10:00 AM @ Auditorium
10:00 am – 11:00 am B1: Analyzing Conversations (Hall A)
Semantic Topic Chains for Modeling Temporality of Themes in Online Student Discussion Forums
Harshita Chopra, Yiwen Lin, Mohammad Amin Samadi, Jacqueline G. Cavazos, Renzhe Yu, Spencer Jaquay and Nia Nixon10:00 – 10:20 AM @ Hall A
Towards Generalizable Detection of Urgency of Discussion Forum Posts
Valdemar Švábenský, Ryan S. Baker, Andrés Zambrano, Yishan Zou and Stefan Slater10:20 – 10:40 AM @ Hall A
Visual representation of co-authorship with GPT-3: Studying human-machine interaction for effective writing
Antonette Shibani, Ratnavel Rajalakshmi, Faerie Mattins, Srivarshan Selvaraj and Simon Knight10:40 – 11:00 AM @ Hall A
10:00 am – 11:00 am B2: Explainability (Hall B)
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course
Muntasir Hoq, Peter Brusilovsky and Bita Akram10:00 – 10:20 AM @ Hall B
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency
Yunsung Kim, Sree Sankaranarayanan, Chris Piech and Candace Thille10:20 – 10:40 AM @ Hall B
Can’t Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data
Machi Shimmei and Noboru Matsuda10:40 – 11:00 AM @ Hall B
11:00 am – 11:30 am Coffee break and networking 3 (Auditorium Basement)
No workshops in this session.
12:30 pm – 2:00 pm Lunch 2 (Auditorium Basement)
No workshops in this session.
2:00 pm – 3:00 pm Keynote: Sihem Amer-Yahia (Auditorium)
Keynote: Sihem Amer-Yahia
Sihem Amer-Yahia2:00 – 3:00 PM @ Auditorium
3:00 pm – 4:00 pm Panel: Turing prize worthy research problems in Educational Data Mining (Auditorium)
Panel: Turing prize worthy research problems in Educational Data Mining
3:00 – 4:00 PM @ Auditorium
4:00 pm – 4:30 pm Coffee break and networking 4 (Auditorium Basement)
No workshops in this session.
4:30 pm – 5:50 pm C1: Automated Scoring (Hall A)
Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay Scoring
Afrizal Doewes, Nughthoh Arfawi Kurdhi and Akrati Saxena4:30 – 4:50 PM @ Hall A
Auto-scoring Student Responses with Images in Mathematics
Sami Baral, Anthony F. Botelho, Abhishek Santhanam, Ashish Gurung, Li Cheng and Neil Heffernan4:50 – 5:10 PM @ Hall A
Meta-Learning for Better Learning: Using Meta-Learning Methods to Automatically Label Exam Questions with Detailed Learning Objectives
Amir Zur, Isaac Applebaum, Jocelyn Nardo, Dory DeWeese, Sameer Sundrani and Shima Salehi5:10 – 5:30 PM @ Hall A
KC-Finder: Automated Knowledge Component Discovery for Programming Problems
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes and Thomas Price5:30 – 5:50 PM @ Hall A
4:30 pm – 5:50 pm C2: Student Modeling (Hall B)
Exploring the effectiveness of Vocabulary Proficiency Diagnosis Using Linguistic Concept and Skill Modeling
Boxuan Ma, Gayan Prasad Hettiarachchi, Sora Fukui and Yuji Ando4:30 – 4:50 PM @ Hall B
Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software
Husni Almoubayyed, Stephen Fancsali and Steve Ritter4:50 – 5:10 PM @ Hall B
Automated Search for Logistic Knowledge Tracing Models
Philip I. Pavlik Jr. and Luke G. Eglington5:10 – 5:30 PM @ Hall B
Predicting Bug Fix Time in Students’ Programming with Deep Language Models
Stav Tsabari, Avi Segal and Kobi Gal5:30 – 5:50 PM @ Hall B
6:00 pm – 8:00 pm Awards, Cultural Program and Awards Ceremony (Auditorium)
Awards, Cultural Program and Awards Ceremony (Auditorium)
6:00 – 8:00 PM @ Auditorium
8:00 pm – 9:00 pm Dinner (Auditorium Basement)
Dinner
8:00 – 9:00 PM @ Auditorium Basement
Thursday 13 Jul 2023
9:00 am – 10:00 am Keynote: Anand Deshpande (Auditorium)
Keynote: Anand Deshpande
Anand Deshpande9:00 – 10:00 AM @ Auditorium
10:00 am – 11:00 am D1: Student Modeling (Hall A)
Early Prediction of Student Performance in a Health Data Science MOOC
Narjes Rohani, Kobi Gal, Michael Gallagher and Areti Manataki10:00 – 10:20 AM @ Hall A
Knowledge Tracing Over Time: A Longitudinal Analysis
Morgan P Lee, Ethan Croteau, Ashish Gurung, Anthony F. Botelho and Neil T. Heffernan10:20 – 10:40 AM @ Hall A
The Predictiveness of PFA is Improved by Incorporating the Learner’s Correct Response Time Fluctuation
Wei Chu and Philip I. Pavlik Jr.10:40 – 11:00 AM @ Hall A
10:00 am – 11:00 am D2: Classroom Analytics (Hall B)
Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts
Tianze Shou, Conrad Borchers, Shamya Karumbaiah and Vincent Aleven10:00 – 10:20 AM @ Hall B
In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos
Zilin Dai, Andrew McReynolds and Jacob Whitehill10:20 – 10:40 AM @ Hall B
A Data Mining Approach for Detecting Collusion in Unproctored Online Exams
Janine Langebein, Till Massing, Jens Klenke, Natalie Reckmann, Michael Striewe, Michael Goedicke and Christoph Hanck10:40 – 11:00 AM @ Hall B
11:00 am – 11:30 am Coffee break and networking 5 (Auditorium Basement)
No workshops in this session.
11:30 am – 12:30 pm Panel: Education in the age of generative AI (Auditorium)
Panel: Education in the age of generative AI
11:30 – 12:30 AM @ Auditorium
12:30 pm – 2:00 pm Lunch 3 (Auditorium Basement)
No workshops in this session.
2:00 pm – 3:00 pm Test of Time Award: Cristina Conati (Auditorium)
Test of Time Award: Cristina Conati
Cristina Conati2:00 – 3:00 PM @ Auditorium
3:00 pm – 4:00 pm E1: Recommendation (Hall A)
Session-based Course Recommendation Frameworks using Deep Learning
Md Akib Zabed Khan and Agoritsa Polyzou3:00 – 3:20 PM @ Hall A
3:00 – 3:20 PM
Mining Detailed Course Transaction Records for Semantic Information
Yinuo Xu and Zach Pardos3:20 – 3:40 PM @ Hall A
Can the Paths of Successful Students Help Other Students With Their Course Enrollments?
Kerstin Wagner, Agathe Merceron, Petra Sauer and Niels Pinkwart3:40 – 4:00 PM @ Hall A
3:00 pm – 4:00 pm E2: Modeling and Analyzing Strategies (Hall B)
Self-Assessment Task Processing Behavior of Students in Higher Education
Regina Kasakowskij, Joerg M. Haake and Niels Seidel3:00 – 3:20 PM @ Hall B
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
Mengxue Zhang, Neil Heffernan and Andrew Lan3:20 – 3:40 PM @ Hall B
Clustering to define interview participants for analyzing student feedback: a case of Legends of Learning
Ayaz Karimov, Mirka Saarela and Tommi Kärkkäinen3:40 – 4:00 PM @ Hall B
3:00 pm – 4:00 pm E3: JEDM + Best Paper AIED 2022 (Hall C)
Using Demographic Data as Predictor Variables: a Questionable Choice
Ryan Baker, Lief Esbenshade, Jonathan Vitale, Shamya Karumbaiah3:00 – 3:20 PM @ Hall C
Using Auxiliary Data to Boost Precision in the Analysis of A/B Tests on an Online Educational Platform: New Data and New Results
Adam C. Sales, Ethan B. Prihar, Johann A. Gagnon-Bartsch, Neil T. Heffernan3:20 – 3:40 PM @ Hall C
CurriculumTutor: a novel tutoring algorithm for mastering a curriculum using adaptive activity sequencing
K. M. Shabana, Chandrashekar Lakshminarayanan, Jude K. Anil3:40 – 4:00 PM @ Hall C
4:00 pm – 4:30 pm Coffee break and networking 6 (Auditorium Basement)
No workshops in this session.
4:30 pm – 6:00 pm Demo (Registration Area)
Demo
4:30 – 6:00 PM @ Registration Area
4:30 pm – 6:00 pm Lightning talks (Auditorium) followed by Poster Presentations (Registration Area)
Auditorium (lightning Talks) and Registration Area (Poster Presentations)
4:30 – 6:00 PM @ Auditorium (lightning Talks) and Registration Area (Poster Presentations)
7:00 pm – 9:00 pm Conference Banquet Sponsored by Atria University, with Banquet Talk by D. N. Prahlad (Hotel Radisson Blu)
Conference Banquet Sponsored by Atria University, with Banquet Talk by D. N. Prahlad (Hotel Radisson Blu)
7:00 PM onwards (Hotel Radisson Blu)
Friday 14 Jul 2023
10:00 am – 11:00 am Doctoral Consortium (Auditorium)
Doctoral Consortium
10:00 – 11:00 AM @ Auditorium
10:00 am – 11:00 am F1: Evaluation/Learning Design (Hall B)
Effective Evaluation of Online Learning Interventions with Surrogate Measures
Ethan Prihar, Kirk Vanacore, Adam Sales and Neil Heffernan10:00 – 10:20 AM @ Hall B
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning
Jean Vassoyan, Jill-Jênn Vie and Pirmin Lemberger10:20 – 10:40 AM @ Hall B
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models
Tung Phung, José Cambronero, Sumit Gulwani, Tobias Kohn, Rupak Majumdar, Adish Singla and Gustavo Soares10:40 – 11:00 AM @ Hall B
10:00 am – 11:00 am F2: Analyzing Conversations (Hall C)
To speak or not to speak, and what to speak, when doing task actions collaboratively
Jauwairia Nasir, Aditi Kothiyal, Haoyu Sheng and Pierre Dillenbourg10:00 – 10:20 AM @ Hall C
Partner Keystrokes can Predict Attentional States during Chat-based Conversations
Vishal Kuvar, Lauren Flynn, Laura Allen and Caitlin Mills10:20 – 10:40 AM @ Hall C
An Analysis of Diffusion of Teacher-curated Resources on Pinterest
Hamid Karimi, Kaitlin Torphy Knake and Kenneth A. Frank10:40 – 11:00 AM @ Hall C
11:00 am – 11:30 am Coffee break and networking 7 (Auditorium Basement)
No workshops in this session.
11:30 am – 12:30 pm Doctoral Consortium 2 (Auditorium)
Doctoral Consortium
11:30 – 12:30 PM @ Auditorium
11:30 am – 12:30 pm Posters (Registration Area)
Posters
11:30 – 12:30 PM @ Registration Area
12:30 pm – 2:00 pm Lunch 4 (Auditorium Basement)
No workshops in this session.
1:30 pm – 2:30 pm Panel: Indian National Education Policy: EDM Opportunities (Auditorium)
Panel: Indian National Education Policy: EDM Opportunities
1:30 – 2:30 PM @ Auditorium
2:30 pm – 3:00 pm Closing session (EDM 2024 Announcement, Vote of Thanks) (Auditorium)
Closing session (EDM 2024 Announcement, Vote of Thanks)
2:30 – 3:00 PM @ Auditorium
3:00 pm – 3:30 pm Coffee break and networking 8 (Auditorium Basement)
No workshops in this session.
3:30 pm – 5:00 pm Tutorial 3: Learning through Wikipedia and Generative AI Technologies (Auditorium)
Tutorial 3: Learning through Wikipedia and Generative AI Technologies
Garimella and Varma3:30 – 5:00 PM @ Auditorium
3:30 pm – 5:00 pm Tutorial 4: Data Efficient Machine Learning for Educational Content Creation (Hall A)
Tutorial 4: Data Efficient Machine Learning for Educational Content Creation
Ramakrishnan and Maheshwari3:30 – 5:00 PM @ Hall A
3:30 pm – 5:00 pm Tutorial 5: How to Open Science: Promoting Principles and Reproducibility Practices within the EDM Community (Hall B)
Tutorial 5: How to Open Science: Promoting Principles and Reproducibility Practices within the EDM Community
Haim, Shaw, and Heffernan3:30 – 5:00 PM @ Hall B
5:00 pm – 5:15 pm Coffee break and networking 9 (Auditorium Basement)
No workshops in this session.
5:15 pm – 6:45 pm Tutorial 3 (cont’d., Auditorium)
Tutorial 3: Learning through Wikipedia and Generative AI Technologies
Garimella and Varma5:15 – 6:45 PM @ Auditorium
5:15 pm – 6:45 pm Tutorial 4 (cont’d., Hall A)
Tutorial 4: Data Efficient Machine Learning for Educational Content Creation
Ramakrishnan and Maheshwari5:15 – 6:45 PM @ Hall A
5:15 pm – 6:45 pm Tutorial 5 (cont’d., Hall B)
Tutorial 5: How to Open Science: Promoting Principles and Reproducibility Practices within the EDM Community
Haim, Shaw, and Heffernan5:15 – 6:45 PM @ Hall B
7:00 pm – 9:00 pm Volunteers appreciation dinner (Sattvam Restaurant)
Volunteers appreciation dinner
7:00 PM – 9:00 PM @ Sattvam Restaurant