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A Special Approach to Teach Artificial Intelligence

机译:一种特殊的人工智能教学方法

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Problem-Based Learning (PBL) is a promising and student-centered teaching method. This paper discusses the methodology and its application to teach Artificial Intelligence (AI) in detail. Also, it aims to construct a web- and problem-based (PBL) system for students at the department of computer science and information engineering. The central bases on the instructional theory, learning theory, and PBL activities are applied to this paper. Given this, the authors intend to educate students with team working, data analyzing, and problem-solving capabilities. The learning experiences in the two course forms including the PBL approach and the traditional one are compared by using a questionnaire response and examination scores. Moreover, the ability of technological innovation can enable students to enhance their competencies. The research results obviously show that the PBL approach can help students learn more about Artificial Intelligence (AI). Additionally, in the PBL course with an interaction in small groups, students learn how to present what they thought, how to clarify and define what a problem is, and how to precisely grasp what the relevant information is.
机译:基于问题的学习(PBL)是一种有前途且以学生为中心的教学方法。本文详细讨论了用于教授人工智能(AI)的方法论及其应用。此外,它旨在为计算机科学和信息工程系的学生构建基于Web和基于问题的(PBL)系统。本文以教学理论,学习理论和PBL活动为中心。鉴于此,作者打算用团队合作,数据分析和解决问题的能力来教育学生。通过问卷调查和考试成绩比较了PBL方法和传统方法这两种课程形式的学习经验。此外,技术创新的能力可以使学生提高自己的能力。研究结果显然表明,PBL方法可以帮助学生更多地了解人工智能(AI)。此外,在小组互动的PBL课程中,学生学习如何表达他们的想法,如何澄清和定义问题所在以及如何精确地掌握相关信息。

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