journal article Open Access Nov 23, 2024

Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students

Future in Educational Research Vol. 2 No. 4 pp. 318-345 · Wiley
Abstract
AbstractArtificial intelligence (AI) literacy education for young students is gaining traction among researchers and educators. Researchers are developing courses and attempting to teach AI literacy to younger students, using age‐appropriate AI educational learning tools. Although teachers play a crucial role in AI literacy education, their perceptions and attitudes have received little attention. This study explores the perceptions of 60 teachers regarding the use of AI educational learning tools, and examines the factors influencing their attitudes in relation to implementing AI literacy education. The technological acceptance model and the technological, pedagogical, and content knowledge (CK) (TPACK) framework inform the research design, and a mixed method, combining the statistical package for Social Science and thematic analysis, is employed for data analysis. The study reveals that teachers have positive perceptions regarding the usefulness and ease of use of AI educational learning tools in their AI literacy teaching. This paper also reveals that teachers embrace an arts‐based approach to teaching AI literacy. The qualitative data reveal that teachers face challenges such as insufficient CK and experience with AI; and knowledge of TPACK. The five factors affecting their acceptance of AI educational learning tools are: (a) teachers' perceptions of their AI CK and experience in teaching AI literacy (technological content knowledge); (b) technical challenges and stakeholder acceptance; (c) the attributes of AI educational learning tools; (d) school infrastructure and budget constraints; and (e) potential for distraction and negative emotional responses. This study offers insights for policymakers regarding professional development initiatives and technical support mechanisms, thereby facilitating more effective AI literacy implementation.
Topics

No keywords indexed for this article. Browse by subject →

References
92
[2]
Ali S. (2019)
[5]
Baker T. &Smith L.(2019).Educ‐AI‐tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Retrieved fromhttps://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf
[7]
Using thematic analysis in psychology

Virginia Braun, Victoria Clarke

Qualitative Research in Psychology 10.1191/1478088706qp063oa
[11]
Chai C. S. "A review of technological pedagogical content knowledge" Journal of Educational Technology & Society (2013)
[13]
Application and theory gaps during the rise of Artificial Intelligence in Education

Xieling Chen, Haoran Xie, Di Zou et al.

Computers and Education: Artificial Intelligence 10.1016/j.caeai.2020.100002
[18]
Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education

Thomas K. F. Chiu, Qi Xia, Xinyan Zhou et al.

Computers and Education: Artificial Intelligence 10.1016/j.caeai.2022.100118
[19]
Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Tools

Seongyune Choi, Yeonju Jang, Hyeoncheol Kim

International Journal of Human–Computer Interactio... 10.1080/10447318.2022.2049145
[24]
Effect of an Analogy-Based Approach of Artificial Intelligence Pedagogy in Upper Primary Schools

Yun Dai, Ziyan Lin, Ang Liu et al.

Journal of Educational Computing Research 10.1177/07356331231201342
[29]
Farahani M. &Ghasemi G.(2024).Artificial intelligence and inequality: Challenges and opportunities.
[30]
Technology acceptance model in educational context: A systematic literature review

Andrina Granić, Nikola Marangunić

British Journal of Educational Technology 10.1111/bjet.12864
[33]
Holmes W. (2023)
[34]
Generative AI and ChatGPT in School Children’s Education: Evidence from a School Lesson

Jussi S. Jauhiainen, Agustín Garagorry Guerra

Sustainability 10.3390/su151814025
[37]
What factors contribute to the acceptance of artificial intelligence? A systematic review

Sage Kelly, Sherrie-Anne Kaye, Oscar Oviedo-Trespalacios

Telematics and Informatics 10.1016/j.tele.2022.101925
[41]
Kim N. J. (2022)
[42]
Koehler M. "What is technological pedagogical content knowledge (TPACK)?" Contemporary Issues in Technology and Teacher Education (2009)
[45]
Artificial intelligence literacy in higher and adult education: A scoping literature review

Matthias Carl Laupichler, Alexandra Aster, Jana Schirch et al.

Computers and Education: Artificial Intelligence 10.1016/j.caeai.2022.100101
[47]
Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools

Ming Liu, Yiling Ren, Lucy Michael Nyagoga et al.

Future in Educational Research 10.1002/fer3.10

Showing 50 of 92 references

Metrics
48
Citations
92
References
Details
Published
Nov 23, 2024
Vol/Issue
2(4)
Pages
318-345
License
View
Funding
University of Cambridge
Cite This Article
Iris Heung Yue Yim, Rupert Wegerif (2024). Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students. Future in Educational Research, 2(4), 318-345. https://doi.org/10.1002/fer3.65