Wang Chi-Jane, Zhong Hua-Xu, Chiu Po-Sheng, Chang Jui-Hung, Wu Pei-Hsuan
Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.
Front Psychol. 2022 May 26;13:864416. doi: 10.3389/fpsyg.2022.864416. eCollection 2022.
Visual programming language is a crucial part of learning programming. On this basis, it is essential to use visual programming to lower the learning threshold for students to learn about artificial intelligence (AI) to meet current demands in higher education. Therefore, a 3-h AI course with an RGB-to-HSL learning task was implemented; the results of which were used to analyze university students from two different disciplines. Valid data were collected for 65 students (55 men, 10 women) in the Science (Sci)-student group and 39 students (20 men, 19 women) in the Humanities (Hum)-student group. Independent sample -tests were conducted to analyze the difference between cognitive styles and computational thinking. No significant differences in either cognitive style or computational thinking ability were found after the AI course, indicating that taking visual AI courses lowers the learning threshold for students and makes it possible for them to take more difficult AI courses, which in turn effectively helping them acquire AI knowledge, which is crucial for cultivating talent in the field of AI.
可视化编程语言是学习编程的关键部分。在此基础上，使用可视化编程来降低学生学习人工智能（AI）的门槛以满足当前高等教育的需求至关重要。因此，实施了一门时长3小时的带有RGB到HSL学习任务的AI课程；其结果用于分析来自两个不同学科的大学生。为理科学生组的65名学生（55名男生，10名女生）和人文学生组的39名学生（20名男生，19名女生）收集了有效数据。进行了独立样本检验以分析认知风格和计算思维之间的差异。AI课程结束后，在认知风格或计算思维能力方面均未发现显著差异，这表明学习可视化AI课程降低了学生的学习门槛，并使他们有可能学习更难的AI课程，进而有效地帮助他们获取AI知识，这对于培养AI领域的人才至关重要。
