Fine-tuning ChatGPT for automatic scoring
Open Access
- 6 February 2024
- journal article
- research article
- Published by Elsevier in Computers and Education: Artificial Intelligence
- Vol. 6
Abstract
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Funding Information
- National Science Foundation (2101104)
- Institute of Education Sciences (R305A160219)
This publication has 28 references indexed in Scilit:
- The affordances of AI‐enabled automatic scoring applications on learners’ continuous learning intention: An empirical study in ChinaBritish Journal of Educational Technology, 2020
- Applying machine learning in science assessment: a systematic reviewStudies in Science Education, 2020
- A Hypothetical Learning Progression for Quantifying Phenomena in ScienceScience & Education, 2019
- A Systematic Review of Automatic Question Generation for Educational PurposesInternational Journal of Artificial Intelligence in Education, 2019
- A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning PerspectiveIEEE Transactions on Learning Technologies, 2019
- A validation framework for science learning progression researchInternational Journal of Science Education, 2019
- The Influence of Variance in Learner Answers on Automatic Content ScoringFrontiers in Education, 2019
- Student Facing Dashboards: One Size Fits All?Technology, Knowledge and Learning, 2017
- Using Automated Scores of Student Essays to Support Teacher Guidance in Classroom InquiryJournal of Science Teacher Education, 2016
- Computer-Guided Inquiry to Improve Science LearningScience, 2014