Research on the Impacts of Cognitive Style and Computational Thinking on College Students in a Visual Artificial Intelligence Course

Abstract

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 t-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.

Artificial intelligence-based pathologic myopia identification system in the ophthalmology residency training program

“…Moreover, medical students or trainees showed a positive attitude toward AI and high acceptance of the AI-aided medical training ( Bisdas et al, 2021 ). Efforts have been made to develop visual AI courses for further difficult AI courses ( Wang et al, 2022 ) or introductory curriculum into AI in radiology titled AI-RADS for residents education ( Lindqwister et al, 2021 ). This study applied an AI-based PM identification system developed by our team to the residency training program and achieved excellent performance.…”