教师学习ML和AI的动机

Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 Pub Date : 2022-07-07 DOI:10.1145/3502717.3532148

Ethel Tshukudu, Jane Waite, S. Rizvi, Sue Sentance

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引用次数: 0

摘要

我们描述了一项基于自我决定理论的调查的发展和试验，以调查K-12教师学习ML和AI的动机。我们的参与者(n=28)最受个人享受(一种内在动机)和学生利益的激励，而不是外部因素，如外部压力。我们将进一步调查教师动机，因为我们认为这是ML和AI教育研究的一个重要方面。

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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Teachers' Motivations to Learn about ML and AI

We describe the development and trial of a survey based on self-determination theory to investigate the motivations of K-12 teachers to learn ML and AI. Our participants (n=28) were most motivated by personal enjoyment (an intrinsic motivator) and student benefits rather than extrinsic factors, such as external pressure. We will further investigate teacher motivation, as we suggest that this is an important aspect of ML and AI education research.

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Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2

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