TPACK in the age of ChatGPT and Generative AI

Q1 Social Sciences
Punya Mishra, Melissa Warr, Rezwana Islam
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引用次数: 4

Abstract

Abstract The educational impact of Generative AI (GenAI) technologies, such as ChatGPT, has received significant attention. We use the TPACK framework to discuss the types of knowledge teachers require to effectively use GenAI tools. We highlight the qualities of GenAI that make it like other digital technologies (they are protean, opaque, and unstable) as well as qualities that make it revolutionary (namely, they are generative and social). We describe how these traits affect specific knowledge domains (TK, TPK, TCK, XK, and TPACK) and explore implications for educators. Finally, we argue for a more expansive description of Contextual Knowledge (XK), going beyond the immediate context to include considerations of how GenAI will change individuals, society and, through that, the broader educational context.
ChatGPT时代的TPACK与生成AI
摘要生成人工智能(GenAI)技术的教育影响,如ChatGPT,受到了极大的关注。我们使用TPACK框架来讨论教师有效使用GenAI工具所需的知识类型。我们强调了GenAI与其他数字技术一样的品质(它们是多变的、不透明的和不稳定的),以及使其具有革命性的品质(即,它们是生成性的和社会性的)。我们描述了这些特征如何影响特定的知识领域(TK、TPK、TCK、XK和TPACK),并探讨了对教育工作者的影响。最后,我们主张对情境知识(XK)进行更广泛的描述,超越直接的情境,考虑GenAI将如何改变个人、社会,并通过这一点改变更广泛的教育背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
15
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