Large Language Models (LLMs) are increasingly prevalent in every aspect of our lives, and their impact on education is particularly noteworthy. While some instructors are embracing the new technology to increase learning efficiency, others are concerned about potential negative impacts such as over-reliance. To help instructors, students, as well as AI researchers to keep track of the latest progress in AI applications in education, we have curated a reading list on this topic in this repo.
-
"The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming" [ACE 2022] [2022-02] [paper]
-
"Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book" [SIGCSE 2023] [2022-11] [paper]
-
"ChatGPT and Software Testing Education: Promises & Perils" [ICSTW 2023] [2023-02] [paper]
-
"Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming" [CHI 2023] [2023-02] [paper]
-
"ChatGPT for Education and Research: Opportunities, Threats, and Strategies" [Applied Sciences] [2023-05] [paper]
-
"Exploring the Responses of Large Language Models to Beginner Programmers' Help Requests" [ICER 2023] [2023-06] [paper]
-
"Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants" [2023-09] [paper]
-
"Teaching CS50 with AI: Leveraging Generative Artificial Intelligence in Computer Science Education" [SIGCSE 2024] [2024-03] [paper]
-
"An Exploratory Study on Upper-Level Computing Students' Use of Large Language Models as Tools in a Semester-Long Project" [ASEE 2024] [2024-03] [paper]
-
"Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices" [CHI 2024] [2024-04] [paper]
-
"AI-Tutoring in Software Engineering Education" [2024-04] [paper]
-
"Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models" [2024-05] [paper]
-
"The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers" [ICER 2024] [2024-05] [paper]
- "ChatGPT User Experience: Implications for Education" [2022-12] [paper]
- "Learning gain differences between ChatGPT and human tutor generated algebra hints" [2023-02] [paper]
-
"How Does ChatGPT Perform on the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment" [2022-12] [paper]
-
"Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models" [PLOS Digit Health] [2023-02] [paper]
-
"LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation" [2023-05] [paper]
-
"Simulation-Based Education in the Artificial Intelligence Era" [2023-06] [paper]
-
"PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals" [2024-05] [paper]
- "Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT" [2023-01] [paper]
- "Social Skill Training with Large Language Models" [2024-04] [paper]
-
"Using Large Language Models to Provide Explanatory Feedback to Human Tutors" [2023-06] [paper]
-
"GPTeach: Interactive TA Training with GPT-based Students" [L@S 2023] [2023-07] [paper]
- "The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues" [EDM 2022] [2022-05] [paper]
-
"EQG-RACE: Examination-Type Question Generation" [AAAI 2021] [2020-12] [paper]
-
"Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask" [ACL Findings 2022] [2022-04] [paper]
-
"ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions" [CHI 2023] [2023-04] [paper]
-
"Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning" [EDM 2024] [2024-05] [paper]
-
"Automatic Generation of Programming Exercises and Code Explanations using Large Language Models" [ICER 2022] [2022-06] [paper]
-
"Quiz Maker: Automatic Quiz Generation from Text Using NLP" [FTNCT] [2022-11] [paper]
-
"A Survey Study on the State of the Art of Programming Exercise Generation using Large Language Models" [CSEE&T 2024] [2024-05] [paper]
- "A Multi-language Platform for Generating Algebraic Mathematical Word Problems" [ICIIS 2019] [2019-11] [paper]
- "CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering" [BIBM 2021] [2020-10] [paper]
-
"Towards Human-Like Educational Question Generation with Large Language Models" [AIED 2022] [2022-07] [paper]
-
"Scalable Educational Question Generation with Pre-trained Language Models" [AIED 2023] [2023-05] [paper]
-
"Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications" [EDM 2024] [2024-05] [paper]
-
"Automated Essay Scoring based on Two-Stage Learning" [2019-01] [paper]
-
"Language models and Automated Essay Scoring" [2019-09] [paper]
-
"Should You Fine-Tune BERT for Automated Essay Scoring?" [BEA 2020] [2020-07] [paper]
-
"Domain-Adaptive Neural Automated Essay Scoring" [SIGIR 2020] [2020-07] [paper]
-
"Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking" [EMNLP Findings 2020] [2020-11] [paper]
-
"Automated essay scoring: A review of the field" [CITS 2021] [2021-11] [paper]
-
"On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation" [NAACL 2022] [2022-05] [paper]
-
"Exploring the potential of using an AI language model for automated essay scoring" [Research Methods in Appl. Ling.] [2023-04] [paper]
-
"Automated evaluation of written discourse coherence using GPT-4" [BEA 2023] [2023-07] [paper]
-
"Rating Short L2 Essays on the CEFR Scale with GPT-4" [BEA 2023] [2023-07] [paper]
-
"Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings" [2023-08] [paper]
-
"FABRIC: Automated Scoring and Feedback Generation for Essays" [2023-10] [paper]
-
"From Automation to Augmentation: Large Language Models Elevating Essay Scoring Landscape" [2024-01] [paper]
-
"Automatic Short Math Answer Grading via In-context Meta-learning" [2022-05] [paper]
-
"Algebra Error Classification with Large Language Models" [2023-05] [paper]
-
"Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions" [2023-06] [paper]
-
"Automatically Detecting Incoherent Written Math Answers of Fourth-Graders" [2023-07] [Systems 2023] [paper]
-
"GPT-4 in Education: Evaluating Aptness, Reliability, and Loss of Coherence in Solving Calculus Problems and Grading Submissions" [2024-05] [paper]
-
"LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought" [2024-05] [paper]
-
"Chatting and cheating: Ensuring academic integrity in the era of ChatGPT" [IETI] [2023-03] [paper]
-
"ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models" [2023-04] [paper]
-
"Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers" [npj Digital Medicine] [2023-04] [paper]
-
"Perception, performance, and detectability of conversational artificial intelligence across 32 university courses" [2023-05] [paper]
-
"Ghostbuster: Detecting Text Ghostwritten by Large Language Models" [2023-05] [paper]
-
"On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing" [2023-06] [paper]
-
"Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection" [EMNLP 2023] [2023-12] [paper]
-
"Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays" [Computers and Education: AI] [2024-01] [paper]