Introducing the Fundamentals of Artificial Intelligence to K-12 Classrooms According to Educational Neuroscience Principles

Thanassis Drivas, Spyros Doukakis
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引用次数: 0

Abstract

The rise of Artificial Intelligence (AI) has brought to the fore the need to educate students about AI. The aim is not to keep AI a black box and at the same time to be recognized as a transferable literacy with multiple learning benefits per age group of students. In order to strengthen this perspective, the design of workshops to introduce the basics of artificial intelligence to middle school students according to educational neuroscience principles is presented. With these workshops, the importance of AI literacy is emphasized, and students are given space for hands-on activities. The proposals are based on the axes of perception, representation and reasoning, learning, physical interaction, and social impact and include sections on Introduction to Machine Learning, Machine Learning Application Examples, Supervised Learning, and Training-Test Processes, Unsupervised Learning, and Machine Learning Algorithms.
根据教育神经科学原理向K-12教室介绍人工智能的基础知识
人工智能(AI)的兴起凸显了对学生进行人工智能教育的必要性。其目的不是让人工智能成为一个黑盒子,同时被认为是一种可转移的识字能力,对每个年龄段的学生都有多种学习益处。为了加强这一观点,提出了根据教育神经科学原理向中学生介绍人工智能基础知识的工作坊设计。通过这些研讨会,强调了人工智能素养的重要性,并为学生提供了动手活动的空间。这些建议基于感知、表示和推理、学习、物理交互和社会影响的轴,包括机器学习介绍、机器学习应用示例、监督学习和训练测试过程、无监督学习和机器学习算法等部分。
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期刊介绍: Computer Engineering and Design is supervised by China Aerospace Science and Industry Corporation and sponsored by the 706th Institute of the Second Academy of China Aerospace Science and Industry Corporation. It was founded in 1980. The purpose of the journal is to disseminate new technologies and promote academic exchanges. Since its inception, it has adhered to the principle of combining depth and breadth, theory and application, and focused on reporting cutting-edge and hot computer technologies. The journal accepts academic papers with innovative and independent academic insights, including papers on fund projects, award-winning research papers, outstanding papers at academic conferences, doctoral and master's theses, etc.
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