2 citations · 4 across the 10 of their papers we have counts for
6 papers · 1 filter
The Landscape of AI in Science Education: What is Changing and How to Respond
Xiaoming Zhai, Kent Crippen
This introductory chapter explores the transformative role of artificial intelligence (AI) in reshaping the landscape of science education. Positioned at the intersection of tradit…
Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning
Xiaoming Zhai, James W. Pellegrino, Matias Rojas +4
This chapter examines the potential of generative AI in enhancing science literacy across the K-16+ grade span, including its benefits as well as the conceptual and practical chall…
Transforming Science Learning Materials in the Era of Artificial Intelligence
Xiaoming Zhai, Kent Crippen
The integration of artificial intelligence (AI) into science education is transforming the design and function of learning materials, offering new affordances for personalization,…
Charting the Future of AI-supported Science Education: A Human-Centered Vision
Xiaoming Zhai, Kent Crippen
This concluding chapter explores how artificial intelligence (AI) is reshaping the purposes, practices, and outcomes of science education, and proposes a human-centered framework f…
Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered Design
Yaxuan Yang, Jongchan Park, Yifan Zhou +1
Contemporary science education reforms such as the Next Generation Science Standards (NGSS) demand assessments to understand students' ability to use science knowledge to solve pro…
Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation
Xiaoming Zhai
The rise of generative large language models (LLMs) has opened new opportunities for automating knowledge representation through concept maps, a long-standing pedagogical tool valu…