技术集成
转化(遗传学)
数学教育
计算机科学
教育学
心理学
教育技术
社会学
生物化学
化学
基因
作者
Katia Ciampa,Zora M. Wolfe,Meagan Hensley
标识
DOI:10.1080/1475939x.2024.2413378
摘要
This study explores the role of artificial intelligence (AI) in K–12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology Integration Model, they analysed posts to evaluate the use of AI across subjects and grade levels. The findings revealed a progression from initial interest and experimentation with AI to more advanced, adaptive uses in assessment creation and grading. Educators reported positive experiences with AI-driven tools, especially in automating tasks and gamifying assessments. However, challenges such as ensuring reliable, context-specific feedback persist. Overall, the research highlights AI's potential to enhance student-centred assessment practices and provides insights for educators, administrators and policymakers on AI's evolving role in education.
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