Mesh : Humans Science Curriculum Students Child Schools School Teachers

来  源:   DOI:10.1371/journal.pone.0305337   PDF(Pubmed)

Abstract:
Generative AI can potentially support teachers in lesson planning by making the process of generating an outline more efficient. This qualitative study employed an exploratory case study design to examine a specific lesson design activity involving a series of prompts and responses from ChatGPT. The desired science lesson on heredity was aimed at first grade students. We analyzed the process\'s efficiency, finding that within 30 minutes we could generate and substantially refine a lesson plan that accurately aligned with the desired curriculum framework and the 5E model of instruction. However, the iterations of the lesson plan included questionable components, missing details, and a fake resource. We discussed the implications of these findings for faculty looking to train pre-service teachers to appropriately use generative AI in lesson planning.
摘要:
生成AI可以通过提高生成大纲的效率来支持教师的课程计划。这项定性研究采用了探索性案例研究设计,以检查涉及ChatGPT的一系列提示和响应的特定课程设计活动。所需的遗传科学课是针对一年级学生的。我们分析了这个过程的效率,发现在30分钟内,我们可以生成并大幅完善与所需课程框架和5E教学模式准确一致的课程计划。然而,课程计划的迭代包括有问题的组件,缺少细节,一个假资源。我们讨论了这些发现对希望培训职前教师在课程计划中适当使用生成AI的教师的影响。
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