26 citations · 112 across the 21 of their papers we have counts for
4 papers · 2 filters
Automatic Scoring of Students' Science Writing Using Hybrid Neural Network
Ehsan Latif, Xiaoming Zhai
This study explores the efficacy of a multi-perspective hybrid neural network (HNN) for scoring student responses in science education with an analytic rubric. We compared the accu…
Knowledge Distillation of LLM for Automatic Scoring of Science Education Assessments
Ehsan Latif, Luyang Fang, Ping Ma +1
This study proposes a method for knowledge distillation (KD) of fine-tuned Large Language Models (LLMs) into smaller, more efficient, and accurate neural networks. We specifically…
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu +2
This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written resp…
Fine-tuning ChatGPT for Automatic Scoring
Ehsan Latif, Xiaoming Zhai
This study highlights the potential of fine-tuned ChatGPT (GPT-3.5) for automatically scoring student written constructed responses using example assessment tasks in science educat…