Generative AI as a Catalyst to Elevate School Health Education

被引:0
|
作者
Conrad, Eric J. [1 ]
Rees, Laura K. [2 ]
机构
[1] Calif State Univ Stanislaus Turlock, Dept Kinesiol & Publ Hlth Promot, Stanislaus In Turlock, CA 95382 USA
[2] Parkview Middle Sch, Armona, CA USA
来源
关键词
D O I
10.1080/07303084.2024.2355865
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Comprehensive school health education (HE), despite its link to enhancing both student health and academic achievement, often faces barriers to effective implementation. As pedagogical strategies evolve to integrate traditional methods with technological innovations like artificial intelligence (AI), the adoption of innovation in HE preparation and instruction becomes vital to maintain its relevance and increase student achievement. Leveraging generative AI holds immense promise for enhancing the HE curriculum, instruction, assessment, and learning environment. Presently available AI tools, such as ChatGPT, can facilitate dynamic generation and adaptive modification of the HE curriculum, incorporating best practices such as backward design, standards-based alignment, and a focus on skill development. AI technology can also enhance inclusivity and equity by developing curricula that incorporate academic supports and principles such as Universal Design for Learning to better tailor lessons to accommodate student needs. Assessment can be improved through the creation and modification of unique formative and summative evaluations. Additionally, supplemental activities and teaching strategies can be generated tailored to identified areas of growth. Finally, AI holds immense promise for multi-subject standard integration and collaboration aligning with the Whole School, Whole Community, Whole Child model. Through the considerate use of AI, educators can foster a more responsive and effective HE learning environment that aligns with the diverse and evolving needs of students.
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页码:45 / 51
页数:7
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