开发职前数学教师人工智能课程的教学因素分析

Gicheol Shin, Y. Park, Jonghoon Do, Daewook Kim, Soohyang Shin
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摘要

随着人工智能(AI)技术的发展和社会关注度的提高,该课程已被引入。然而,这门课程的引入可能会给数学教师在准备这门新课程时带来负担。本研究探讨了课程和教科书与师范院校主要科目之间的相关性。其目的是通过全面考虑人工智能和数学理论以及计算机编程在人工智能中的应用,提出必要的教学内容要素。这种方法旨在使未来的数学教师掌握必要的技能和知识,从而有效地教授该课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis of Instructional Factors for Development of AI Course for Pre-service Mathematics Teachers
With the advancement of artificial intelligence (AI) technology and the increase in societal interest, the course has been introduced. However, this introduction may place a burden on mathematics teachers in preparing for the new subject. This study examines the relevance between the curriculum and textbooks and the major subjects of teacher training colleges. It aims to suggest the essential instructional content elements by thoroughly considering the theories of artificial intelligence and mathematics, along with the use of computer programming in AI. This approach is intended to equip prospective mathematics teachers with the necessary skills and knowledge to effectively teach the course.
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