Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
This survey article has grown out of the GAIED (pronounced" guide") workshop organized by
the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a …
the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a …
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
There is increasing interest in employing large language models (LLMs) as cognitive
models. For such purposes, it is central to understand which cognitive properties are well …
models. For such purposes, it is central to understand which cognitive properties are well …
Enhancing llm-based feedback: Insights from intelligent tutoring systems and the learning sciences
Abstract The field of Artificial Intelligence in Education (AIED) focuses on the intersection of
technology, education, and psychology, placing a strong emphasis on supporting learners' …
technology, education, and psychology, placing a strong emphasis on supporting learners' …
Scaling the Authoring of AutoTutors with Large Language Models
Large Language Models (LLMs) have found several use cases in education, ranging from
automatic question generation to essay evaluation. In this paper, we explore the potential of …
automatic question generation to essay evaluation. In this paper, we explore the potential of …
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
Abstract Intelligent Tutoring Systems (ITSs) have significantly enhanced adult literacy
training, a key factor for societal participation, employment opportunities, and lifelong …
training, a key factor for societal participation, employment opportunities, and lifelong …
SPL: A Socratic Playground for Learning Powered by Large Language Mode
Dialogue-based Intelligent Tutoring Systems (ITSs) have significantly advanced adaptive
and personalized learning by automating sophisticated human tutoring strategies within …
and personalized learning by automating sophisticated human tutoring strategies within …
Evaluating and Optimizing Educational Content with Large Language Model Judgments
Creating effective educational materials generally requires expensive and time-consuming
studies of student learning outcomes. To overcome this barrier, one idea is to build …
studies of student learning outcomes. To overcome this barrier, one idea is to build …
StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions
Z Chen, J Wang, M Xia, K Shigyo, D Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
The integration of Large Language Models (LLMs), especially ChatGPT, into education is
poised to revolutionize students' learning experiences by introducing innovative …
poised to revolutionize students' learning experiences by introducing innovative …
Regressive Side Effects of Training Language Models to Mimic Student Misconceptions
This paper presents a novel exploration into the regressive side effects of training Large
Language Models (LLMs) to mimic student misconceptions for personalized education. We …
Language Models (LLMs) to mimic student misconceptions for personalized education. We …
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
Large Language Models (LLMs) have found several use cases in education, ranging from
automatic question generation to essay evaluation. In this paper, we explore the potential of …
automatic question generation to essay evaluation. In this paper, we explore the potential of …