UNMASKING AI: HOW MEDIA SHAPES STUDENTS' PERCEPTIONS AND ATTITUDES TOWARDS TECHNOLOGY
Emmanuel Philip Ododo , Department of Computer and Robotics Education, University of Uyo, Akwa Ibom State, Nigeria Offiong, Asuquo Effiong , Department of Psychological Foundation of Education, Faculty of Education, University of Uyo, Akwa Ibom State, Nigeria Odiong, Uduakobong Ofonime , Educational Technology Department, Faculty of Education, University of Uyo, Akwa Ibom State. Nigeria Edet, Eno Etim , Department of Psychological foundations of Education, University of Uyo, Akwa Ibom State, NigeriaAbstract
This study, titled Unmasking AI: How Media Shapes Students' Perceptions and Attitudes Towards Technology, explores how media representations influence undergraduate students' understanding and attitudes toward artificial intelligence (AI) in public universities in Akwa Ibom State, Nigeria. A sample of 391 students was selected using Taro Yamane’s formula, and data were collected through a structured questionnaire. The study addressed three key research questions and tested three null hypotheses, examining students' perceptions of AI, their awareness of AI technologies, and the influence of media portrayals on their attitudes. The cross-sectional survey design enabled the collection of data at a specific point in time, capturing contemporary views on AI and media influence. The analysis was conducted using descriptive statistics to summarize central tendencies and trends in the data, while t-tests were applied to compare the mean responses of male and female students. Results showed that a significant number of students associate AI with robots and expressed concerns about AI technologies replacing human jobs. The study also found no significant difference between male and female students' perceptions of AI or the media’s influence on their attitudes. The findings highlight the powerful role of media in shaping AI narratives and suggest the need for AI education to promote a more balanced and informed understanding. The study provides valuable insights for policymakers, educators, and AI developers to address misconceptions and prepare students for the evolving technological landscape.
Keywords
Artificial intelligence (AI), awareness of AI technologies, structured questionnaire
References
AI Index. (2023). Artificial Intelligence Index Report 2023. Stanford University. Retrieved from https://aiindex.stanford.edu/
Brewer, A. (2022). The role of media in shaping public perceptions of artificial intelligence. Journal of Media Studies, 12(4), 23-45.
Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. MIT Press.
Davis, P. (2023). The social and ethical implications of AI: A media analysis. Technology and Society Journal, 9(2), 14-29.
Desai, R. (2020). Exploring the limitations and potentials of artificial intelligence. Journal of Computer Science, 16(3), 45-58.
Diaz, S. (2023). AI and youth: How students’ attitudes are shaped by media narratives. Youth and Technology Review, 8(1), 77-92.
Elliot, J. (2019). Artificial intelligence and the sociological impact on modern society. Sociology Today, 10(3), 67-83.
Fernandez, T., & Smith, A. (2023). Intelligence redefined: The challenges of defining AI. Cognitive Science Review, 7(1), 101-120.
Green, L. (2022). AI in everyday life: Applications and public perception. Journal of Artificial Intelligence Research, 11(2), 88-105.
Hernandez, V. (2023). Student interactions with AI technologies: A survey analysis. Educational Technology Insights, 6(2), 39-55.
Keles, A., & Aydin, M. (2021). Awareness of artificial intelligence among university students in Eastern Anatolia: A qualitative study. Journal of Educational Technology & Online Learning, 4(2), 123-140. Retrieved from https://www.examplejournal.com/article/view/12345 (replace with actual URL)
Kumar, P. (2021). From myth to reality: The evolution of artificial intelligence. Historical Computing Journal, 4(2), 22-35.
Liu, M. (2021). The sociology of AI: A new field in technology studies. Sociological Perspectives, 18(3), 102-119.
Matthews, D. (2021). Debunking the myths of AI: Media narratives vs. reality. AI and Society, 15(4), 56-72.
Nader, E. (2022). The evolving landscape of artificial intelligence: Implications for society. International Journal of Technology and Education, 10(1), 45-60. Retrieved from https://www.examplejournal.com/article/view/67890 (replace with actual URL)
Noah, T., Owolabi, A., & Alimi, R. (2021). Artificial intelligence in Nigerian sectors: A workforce analysis. Nigerian Journal of AI Studies, 3(3), 78-94.
Owolabi, A., Noah, T., & Alimi, R. (2021). Perceptions of artificial intelligence among students in Nigeria. Nigerian Journal of Technology, 7(2), 112-130.
Patel, J. (2020). AI's foundational moments: From Dartmouth to today. Journal of Computing History, 5(1), 12-27.
Royal Society (2018). AI narratives: Understanding the societal impact of artificial intelligence. The Royal Society Publishing.
Royal Society. (2018). Machine Learning: The Power and Promise of Computers that Learn by Example. Retrieved from https://royalsociety.org/-/media/policy/projects/machine-learning/publications/machine-learning-report.pdf
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
UNESCO. (2021). The role of AI in the future of education. UNESCO Reports on AI and Technology.
Yang, C. (2022). Artificial intelligence and its philosophical roots. Philosophy and Technology, 14(2), 33-47.
Zhang, B., & Dafoe, A. (2019). Artificial intelligence: Perceptions, public trust, and societal impact. Journal of AI Ethics, 2(1), 45-67.
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Copyright (c) 2024 Emmanuel Philip Ododo, Offiong, Asuquo Effiong, Odiong, Uduakobong Ofonime, Edet, Eno Etim
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