AI for Education at AAAI 2024 Bridging Innovation and Responsibility

Muktha Ananda, Debshila Basu Malick, Jill Burstein, Lydia T. Liu, Zitao Liu, James Sharpnack, Zichao Wang, Serena Wang; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:1-2

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Current Evaluation Methods are a Bottleneck in Automatic Question Generation

Guher Gorgun, Okan Bulut; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:3-8

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Challenges and Opportunities of Moderating Usage of Large Language Models in Education

Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:9-18

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Evaluation of the Instance Weighting Strategy for Transfer Learning of Educational Predictive Models

Mariia Luzan, Christopher Brooks; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:19-28

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Exploring the Relationship Between Feature Attribution Methods and Model Performance

Priscylla Silva, Claudio Silva, Luis Gustavo Nonato; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:29-38

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Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks

Xiran Qu, Xuequn Shang, Yupei Zhang; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:39-47

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Problem-Solving Guide (PSG): Predicting the Algorithm Tags and Difficulty for Competitive Programming Problems

Juntae Kim, Eunjung Cho, Dongbin Na; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:48-56

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LogicPrpBank: A Corpus for Logical Implication and Equivalence

Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, Joyce C. Ho; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:57-65

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Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation

Zifei F. Han, Jionghao Lin, Ashish Gurung, Danielle R Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R Koedinger; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:66-76

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Using Large Language Models to Assess Tutors’ Performance in Reacting to Students Making Math Errors

Sanjit Kakarla, Danielle R Thomas, Jionghao Lin, Shivang Gupta, Kenneth R Koedinger; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:77-84

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AI-Augmented Advising: A Comparative Study of GPT-4 and Advisor-based Major Recommendations

Kasra Lekan, Zachary A. Pardos; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:85-96

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Automatic Scoring of Students’ Science Writing Using Hybrid Neural Network

Ehsan Latif, Xiaoming Zhai; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:97-106

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Explaining code examples in introductory programming courses: Llm vs humans

Arun-Balajiee Lekshmi-Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus; arXiv preprint arXiv:2403.05538, PMLR 257:107-117

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Automated Assessment of Students’ Code Comprehension using LLM

Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:118-128

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Synthesizing a Progression of Subtasks for Block-Based Visual Programming Tasks

Alperen Tercan, Ahana Ghosh, Hasan Ferit Eniser, Maria Christakis, Adish Singla; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:129-138

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Augmented Debate-Centered Instruction: A Novel Research Agenda for Responsible AI Integration in Education

Stefan Bauschard, Alan Coverstone, Devin Gonier, John Hines, Anand Rao; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:139-150

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Generating Piano Practice Policy with a Gaussian Process

Alexandra Moringen, Elad Vromen, Helge Ritter, Jason Friedman; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:151-161

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Learning to Compare Hints: Combining Insights from Student Logs and Large Language Models

Ted Zhang, Harshith Arun Kumar, Robin Schmucker, Amos Azaria, Tom Mitchell; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:162-169

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Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education

Nischal Ashok Kumar, Andrew S. Lan; Proceedings of the 2024 AAAI Conference on Artificial Intelligence, PMLR 257:170-179

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