Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds

Blended and collaborative learning: Case of a multicultural graduate classroom in Taiwan

“…Empirical studies with similar goals and format to the present study have been published before, signaling the importance of reporting the design, implementation, and evaluation of learner-centered educational initiatives in the digital era. An example is a study about an artificial intelligence (AI) literacy course attended by Hong Kong university students who are from diverse backgrounds [ 40 ]. The design, implementation, and assessment of the AI course with a flipped learning classroom approach were reported.…”

“…The design, implementation, and assessment of the AI course with a flipped learning classroom approach were reported. Quantitative analysis was used to evaluate the course’s impact to students’ conceptual understanding [ 40 ].…”

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

“…In response to the current demand for AI learning and visual programming in higher education, in this study, an AI curriculum intended to address the current challenges of AI learning in higher education is implemented. Some studies have shown that the implementation of AI courses can enhance specific aspects of learning (e.g., cognitive abilities, skills) ( Chai et al, 2021 ; Huang, 2021 ; Kong et al, 2021 ). This AI course uses an AI platform with a visual interface to increase students’ understanding of AI and lower the threshold and pressure related to machine learning.…”

“…It is important to investigate the differences between students’ prior knowledge and cognitive styles to implement an AI curriculum. In particular, Kong et al (2021) indicated that prior knowledge is not an important consideration in developing AI literacy in students. In summary, implementation of an AI curriculum requires an understanding of the impact of different aspects of student learning (e.g., cognitive style, computational thinking), which is crucial to improving the value of feedback related to the AI curriculum.…”

“…This study implements an AI course that provides students with the ability to learn an AI course content and to share their models to enhance their computational thinking skills. Kong et al (2021) indicated that the implementation of an AI course can enhance the acquisition of AI concepts among students at all levels and can reduce gaps for students with different educational backgrounds and different skill levels. Therefore, university students in different disciplines from two different universities served as participants in this study, and a visual AI platform was used to conduct an AI course.…”