摘要
Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Exploring the Determinants of Artificial Intelligence (Ai) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption 18 Pages Posted: 11 Oct 2022 See all articles by Ismail CelikIsmail Celikaffiliation not provided to SSRN Abstract To effectively utilize artificial intelligence (AI)-based technologies and realize their novel ethical issues, individuals must have a variety of knowledge and skills about AI. Such knowledge and skills have led to the emergence of AI literacy. Despite the importance of AI literacy in everyday life, little is known about its determinants. To better understand the determinants of AI literacy, we attempted to build a research model relying on previous research and different theoretical frameworks. The model incorporated digital divide, cognitive absorption, and computational thinking. As a major finding from the current study, we found out individuals with physical access to information and communication technologies (ICTs) are more expected to use and recognize AI. Also, motivation and skills in using ICTs enable individuals to better evaluate the outcomes of AI-based technologies. The findings also showed that convenient access to ICTs contributes to a deep involvement with AI-based technologies in the use. Further, individuals with higher motivation and skills to use AI technologies are likely to have a pleasant experience after using these technologies. Moreover, computational thinking was found to be significant a determinant of AI literacy, which facilitate using, recognizing, and evaluating AI-based technologies. Keywords: AI Literacy, digital divide, Computational Thinking, Cognitive Absorption Suggested Citation: Suggested Citation Celik, Ismail, Exploring the Determinants of Artificial Intelligence (Ai) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption. Available at SSRN: https://ssrn.com/abstract=4244763 Ismail Celik (Contact Author) affiliation not provided to SSRN ( email ) No Address Available Download This Paper Open PDF in Browser Do you have a job opening that you would like to promote on SSRN? Place Job Opening Paper statistics Downloads 2 Abstract Views 5 PlumX Metrics Related eJournals Machine Learning eJournal Follow Machine Learning eJournal Subscribe to this fee journal for more curated articles on this topic FOLLOWERS 380 PAPERS 5,385 Feedback Feedback to SSRN Feedback (required) Email (required) Submit If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Submit a Paper Section 508 Text Only Pages SSRN Quick Links SSRN Solutions Research Paper Series Conference Papers Partners in Publishing Jobs & Announcements Newsletter Sign Up SSRN Rankings Top Papers Top Authors Top Organizations About SSRN SSRN Objectives Network Directors Presidential Letter Announcements Contact us FAQs Copyright Terms and Conditions Privacy Policy We use cookies to help provide and enhance our service and tailor content. To learn more, visit Cookie Settings. This page was processed by aws-apollo-5dc in 0.172 seconds