Exploring the determinants of artificial intelligence (AI) literacy : digital divide, computational thinking, cognitive absorption |
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Author: | Celik, Ismail1 |
Organizations: |
1Teachers, Teaching and Educational Communities (TTEC) Unit, Faculty of Education and Psychology, University of Oulu, FI-90014 Oulu, Finland |
Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1.4 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20231103142925 |
Language: | English |
Published: |
Elsevier,
2023
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Publish Date: | 2023-11-03 |
Description: |
AbstractTo effectively utilize artificial intelligence (AI)-based technologies such as ChatGPT 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, computational thinking was found to be a significant determinant of AI literacy, which facilitate using, recognizing, and evaluating AI-based technologies. Moreover, we found out that 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. see all
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Series: |
Telematics and informatics |
ISSN: | 0736-5853 |
ISSN-E: | 1879-324X |
ISSN-L: | 0736-5853 |
Volume: | 83 |
Article number: | 102026 |
DOI: | 10.1016/j.tele.2023.102026 |
OADOI: | https://oadoi.org/10.1016/j.tele.2023.102026 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
516 Educational sciences 113 Computer and information sciences |
Subjects: | |
Copyright information: |
© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
https://creativecommons.org/licenses/by/4.0/ |