10 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 8 cited
A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education
Eason Chen, Danyang Wang, Luyi Xu +3
Large language models (LLMs) have the potential to enhance K-12 STEM education by improving both teaching and learning processes. While previous studies have shown promising result…
cs.AI2023★ 10 cited
Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning
Chen Cao, Zijian Ding, Gyeong-Geon Lee +3
This study explores the integration of generative artificial intelligence (AI), specifically large language models, with multi-modal analogical reasoning as an innovative approach…
cs.HC2023★ 7 cited
Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study
Chen Cao
Programming skills are rapidly becoming essential for many educational paths and career opportunities. Yet, for many international students, the traditional approach to teaching in…