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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Learning about artificial intelligence (AI) has become one of the most discussed topics in the field of education. However, it has become an equally important learning approach in contemporary education to propose a “general education” agenda that conveys instructional messages about AI basics and ethics, especially for those students without an engineering background. The current study proposes a situated learning design for education on this topic. Through a three-week lesson session and accompanying learning activities, the participants undertook hands-on tasks relating to AI. They were also afforded the opportunity to learn about the current attributes of AI and how these may apply to understanding AI-related ethical issues or problems in daily life. A pre- and post-test design was used to compare the learning effects with respect to different aspects of AI (e.g., AI understanding, cross-domain teamwork, AI attitudes, and AI ethics) among the participants. The study found a positive correlation among all the factors, as well as a strong link between AI understanding and attitudes on the one hand and AI ethics on the other. The implications of these findings are discussed, and suggestions are made for possible future revisions to current instructional design and for future research.

Details

Title
Learning Ethics in AI—Teaching Non-Engineering Undergraduates through Situated Learning
Author
Po-Kang Shih 1 ; Chun-Hung, Lin 2 ; Wu, Leon Yufeng 3   VIAFID ORCID Logo  ; Chih-Chang, Yu 4   VIAFID ORCID Logo 

 Center for General Education, Chung Yuan Christian University, Taoyuan City 320314, Taiwan; [email protected] 
 Center for Teacher Education, Chung Yuan Christian University, Taoyuan City 320314, Taiwan; [email protected] 
 Graduate School of Education, Chung Yuan Christian University, Taoyuan City 320314, Taiwan; [email protected] 
 Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan 
First page
3718
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2562199668
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.