Fine-tuning AI models for enhanced consistency and precision in chemistry educational assessments

Fine-tuning AI models for enhanced consistency and precision in chemistry educational assessments

Integrating artificial intelligence (AI) into educational assessments represents a paradigm shift, especially in STEM subjects such as chemistry, which require complex problem-solving and written feedback. This study focuses on the effects of fine-tuning on each of the four AI models—Gemini 1.5, Gem...

Full description

Saved in:
Bibliographic Details
Main Authors: Sri Yamtinah, Antuni Wiyarsi, Hayuni Retno Widarti, Ari Syahidul Shidiq, Dimas Gilang Ramadhani
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Computers and Education: Artificial Intelligence
Subjects:
Fine-tuning AI models
Educational assessments in STEM
Chemistry task evaluation
AI-Assisted grading systems
Model accuracy and reliability
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X25000396
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2666920X25000396

Similar Items