Scholarlink

<p>The recent surge of artificial intelligence (AI) in science education has heightened interest among the NARST community—a curiosity about how technology can transform education that has lasted for decades. Founded in 1928, NARST is an international organization of thousands of members focused on improving science education through research. This growing interest is evidenced by the launch of the Research in Artificial Intelligence-Involved Science Education (RAISE) Research Interest Group in 2022 and the increasing number of AI-related studies presented at NARST conferences. Despite the growth, limited studies have shed light on how the community members integrate AI into science education and the challenges. We systematically reviewed 36 AI-related papers presented at the 2024 NARST conference to address this gap. We found that AI (1) is widely integrated into science education research with ethical considerations, (2) serves to continue the paradigm of science education rather than redefining it, and (3) evolves into a multipurpose, multimodal, and generative tool for research and teaching. The analysis also revealed five major challenges: (1) changes in educational goals, (2) renovating science learning content, (3) complexity of assessment for individualized feedback, (4) teachers’ preparedness and professional development, and (5) bias and equity in STEM education. Consequently, the role of NARST and RAISE RIG members that respond to those challenges is readdressed.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial Intelligence in Science Education Research: Current States and Challenges

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月21日

查看全文
  • Gyeonggeon Lee,
  • Minji Yun,
  • Xiaoming Zhai,
  • Kent Crippen

摘要

The recent surge of artificial intelligence (AI) in science education has heightened interest among the NARST community—a curiosity about how technology can transform education that has lasted for decades. Founded in 1928, NARST is an international organization of thousands of members focused on improving science education through research. This growing interest is evidenced by the launch of the Research in Artificial Intelligence-Involved Science Education (RAISE) Research Interest Group in 2022 and the increasing number of AI-related studies presented at NARST conferences. Despite the growth, limited studies have shed light on how the community members integrate AI into science education and the challenges. We systematically reviewed 36 AI-related papers presented at the 2024 NARST conference to address this gap. We found that AI (1) is widely integrated into science education research with ethical considerations, (2) serves to continue the paradigm of science education rather than redefining it, and (3) evolves into a multipurpose, multimodal, and generative tool for research and teaching. The analysis also revealed five major challenges: (1) changes in educational goals, (2) renovating science learning content, (3) complexity of assessment for individualized feedback, (4) teachers’ preparedness and professional development, and (5) bias and equity in STEM education. Consequently, the role of NARST and RAISE RIG members that respond to those challenges is readdressed.