LLM@AIED

Publications

2023

Daniel Leiker, Sara Finnigan, Ashley Ricker Gyllen, Mutlu Cukurova
Prototyping the use of Large Language Models (LLMs) for Adult Learning Content Creation at Scale. LLM@AIED (2023)
Benjamin D. Nye, Dillon Mee, Mark G. Core
Generative Large Language Models for Dialog-Based Tutoring: An Early Consideration of Opportunities and Concerns. LLM@AIED (2023)
Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Bita Akram
Detecting ChatGPT-Generated Code in a CS1 Course. LLM@AIED (2023)
Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, Øistein E. Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls, Paula Buttery
On the Application of Large Language Models for Language Teaching and Assessment Technology. LLM@AIED (2023)
Gautam Yadav, Ying-Jui Tseng, Xiaolin Ni
Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models. LLM@AIED (2023)
Andrew M. Olney
Generating Multiple Choice Questions from a Textbook: LLMs Match Human Performance on Most Metrics. LLM@AIED (2023)
Qianou Christina Ma, Sherry Tongshuang Wu, Ken Koedinger
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. LLM@AIED (2023)
Katie Bainbridge, Candace A. Walkington, Armon Ibrahim, Iris Zhong, Debshila Basu Mallick, Julianna Washington, Richard G. Baraniuk
A Case Study using Large Language Models to Generate Metadata for Math Questions. LLM@AIED (2023)
Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester
Language Modeling for Plan Generation in Game-Base Learning Environments. LLM@AIED (2023)
Kole Norberg, Husni Almoubayyed, Stephen E. Fancsali, Logan De Ley, Kyle Weldon, April Murphy, Steven Ritter
Rewriting Math Word Problems with Large Language Models. LLM@AIED (2023)
Shashank Sonkar, Richard G. Baraniuk
Deduction under Perturbed Evidence: Probing Student Simulation (Knowledge Tracing) Capabilities of Large Language Models. LLM@AIED (2023)
Pragnya Sridhar, Aidan Doyle, Arav Agarwal, Christopher Bogart, Jaromír Savelka, Majd Sakr
Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives. LLM@AIED (2023)
Shouvik Ahmed Antu, Haiyan Chen, Cindy K. Richards
Using LLM (Large Language Model) to Improve Efficiency in Literature Review for Undergraduate Research. LLM@AIED (2023)
Md Rayhan Kabir, Fuhua Lin
An LLM-Powered Adaptive Practicing System. LLM@AIED (2023)
Bor-Chen Kuo, Frederic T. Y. Chang, Zong-En Bai
Leveraging LLMs for Adaptive Testing and Learning in Taiwan Adaptive Learning Platform (TALP). LLM@AIED (2023)
Matyás Bohácek
The Unseen A+ Student: Evaluating the Performance and Detectability of Large Language Models in High School Assignments. LLM@AIED (2023)
Sai Satish Gattupalli, Will Lee, Danielle Allessio, Danielle Crabtree, Ivon Arroyo, Beverly P. Woolf
Exploring Pre-Service Teachers' Perceptions of Large Language Models-Generated Hints in Online Mathematics Learning. LLM@AIED (2023)

volume 3487, 2023

Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023. LLM@AIED 3487 (2023)