37 citations · 98 across the 4 of their papers we have counts for
4 papers
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…
AGI: Artificial General Intelligence for Education
Ehsan Latif, Gengchen Mai, Matthew Nyaaba +6
Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and…
Context Matters: A Strategy to Pre-train Language Model for Science Education
Zhengliang Liu, Xinyu He, Lei Liu +2
This study aims at improving the performance of scoring student responses in science education automatically. BERT-based language models have shown significant superiority over tra…
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education
Xuansheng Wu, Xinyu He, Tianming Liu +2
Developing models to automatically score students' written responses to science problems is critical for science education. However, collecting and labeling sufficient student resp…