通过解题教与学人工智能中的计算思维——论工程与计算入门课程的设计

P. Silapachote, A. Srisuphab
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引用次数: 17

摘要

作为每一门与计算相关的学科的核心,计算思维或CT影响着每一个地方的每一个人,在各级教育中越来越多地成为自己的学科。如何有效地教授CT技能是真正的挑战,同时也创造了机会。针对工程和计算机科学专业的本科生,我们将人工智能(AI)的元素整合到计算机入门课程中。除了理解CT的本质,人工智能还提供了超越抽象、逻辑推理、批判性和分析性思维的协作解决问题的灵感。它促进了对基本数据结构和算法的研究。学生们喜欢活跃的课堂学习。他们学会了学习,通过解决令人兴奋的AI谜题,在AI战略游戏中竞争以及参与智力讨论来构建基本知识。每项活动都是为了让学生充分利用他们的思维工具而设计的。既不需要编码也不需要编程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching and learning computational thinking through solving problems in Artificial Intelligence: On designing introductory engineering and computing courses
At the core of every computing related discipline and impacting everyone everywhere, computational thinking or CT has increasingly emerged as its own subject in all levels of education. How to effectively teach CT skills poses real challenges and creates opportunities. Focusing on engineering and computer science undergraduates, we resourcefully integrated elements of Artificial Intelligence (AI) into introductory computing courses. In addition to a comprehension of the essence of CT, AI enabled inspirations of collaborative problem solving beyond abstraction, logical reasoning, critical, and analytical thinking. It fostered the study of basic data structures and algorithms. Students enjoyed active learning classrooms. Learning to learn, they constructed essential knowledge from solving exciting AI puzzles, competing in strategic AI games, and participating in intellectual discussion. Every activity is designed to allow students to fully engage their mental tools. Neither coding nor programming was required.
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