AI Literacy across Curriculum Design: Investigating College Instructor’s Perspectives
DOI:
https://doi.org/10.24059/olj.v28i2.4426Keywords:
artificial intelligene, curriculum content, AI literacy, higher education, curriculum designAbstract
Artificial Intelligence (AI) is increasingly prevalent, permeating various aspects of and spreading across education. However, a comprehensive understanding of AI applications and how to define AI literacy is under-investigated. On this note, teaching and evaluating AI literacy necessitating educators to integrate it in course content. The implementation and utilization of AI are reshaping college students’ experiences mannerly. A limited efforts have been made to promote artificial intelligence (AI) literacy for individuals at academic institutions. This study aims to investigate college instructors’ perspectives towards AI integration in curriculum design at a higher education institution, Palestine technical university Kadoorie (PTUK). A mixed study approach is utilized with a pre-existing questionnaire containing 14 items in this study and 17 semi-structured interviews. The data were collected from nine different departments at PTUK. The target population consisted of college 176. The results revealed that college instructors are perceiving AI literacy at a weak degree in the curriculum. Three themes merged from qualitative data: positive perspectives, negative perspectives, and willingness of integration of AI literacy across the curriculum. Recommendations include: there is a necessity to incorporate AI literacy curriculum design and in higher education context in different disciplines.
References
Ahmad, H., Naser, S. S. A., El Talla, S. A., & Al Shobaki, T. (2018). Information technology role in determining communication style prevalent among Al-Azhar University administrative staff. International Journal of Information Technology and Electrical Engineering, 7(4), 21–43.
Ali, S., Payne, B. H., Williams, R., Park, H. & Breazeal, C. (2019). Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education. In International Workshop on Education in Artificial Intelligence K–12 (Vol. 2, pp. 1–4).
Alnahdi, G. H. (2020). The construct validity of the Arabic version of the Chedoke-McMaster attitudes towards children with handicaps scale. Cogent Education, 7(1), 1745540. https://doi.org/10.1080/2331186X.2020.1745540
Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1, 61–65. https://doi.org/10.1007/s43681-020-00002-7
Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198–204. https://doi.org/10.5281/zenodo.7716416
Bozkurt, A., & Sharma, R. C. (2023). Challenging the status quo and exploring the new boundaries in the age of algorithms: Reimagining the role of generative AI in distance education and online learning. Asian Journal of Distance Education, 18(21), i–viii. https://doi.org/10.5281/zenodo.7755273
Cantú-Ortiz, F. J., Galeano Sánchez, N., Garrido, L. Terashima-Marin, H., & Brena, R. F. (2020). An artificial intelligence educational strategy for digital transformation. International Journal on Interactive Design and Manufacturing, 14, 1195–1209. https://doi.org/10.1007/s12008-020-00702-8
Chae, H.-C., Koh, C., & Park, E. (2018). Information technology capability and firm performance: Role of industry. Information & Management, 55(5), 525–546. https://doi.org/10.1016/j.im.2017.10.001
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Pearson Education.
Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage.
Daher, W. (2019, February). Assessing students’ perceptions of democratic practices in the mathematics classroom. In Eleventh Congress of the European Society for Research in Mathematics Education (No. 6). Freudenthal Group, Freudenthal Institute. ERME.
Darawsheh, N. A. H., Alkailanee, K. K., Alrashdan, H., Alquran, N. M. A., Tamara, A. L., Alradi, M. N., & Al-Shamali, S. I. (2023). The degree of using artificial intelligence among academic leaders in Jordanian universities and its relationship to teaching competencies of faculty members. Journal of Namibian Studies: History Politics Culture, 34, 4904–4926.
Kuckartz, U. (2012). Qualitative inhaltsanalyse: methoden, praxis, computerunterstützung. Beltz Juventa.
Leal Filho, W., Raath, S., Lazzarini, B., Vargas, V. R., de Souza, L., Anholon, R., . . . Orlovic, V. L. (2018). The role of transformation in learning and education for sustainability. Journal of Cleaner Production, 199, 286–295. 10.1016/j.jclepro.2018.07.017
Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 100101. 10.1016/j.caeai.2022.100101
Lim, E. M. (2023). The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children. Education and Information Technologies, 1–27. 10.1007/s10639-023-11724-6
Melsión, G. I., Torre, I., Vidal, E., & Leite, I. (2021). Using Explainability to help children understand gender bias in AI. In Interaction design and children (pp. 87–99). https://doi.org/10.1145/3459990.3460719
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. 10.1016/j.caeai.2021.100041
Picciano, A. G. (2019). Artificial intelligence and the academy’s loss of purpose. Online Learning, 23(3), 270–284. https://doi.org/10.24059/olj.v23i3.2023
Schroeder, K., Hubertz, M., Van Campenhout, R., & Johnson, B. G. (2022). Teaching and learning with AI-generated courseware: Lessons from the classroom. Online Learning, 26(3), 73–87. https://doi.org/10.24059/olj.v26i3.3370
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner– instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 1–23. https://doi.org/10.1186/ s41239-021-00292-9
Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 100127. https://doi.org/10.1016/j.caeai.2023.100127
St Louis, A. T., Thompson, P., Sulak, T. N., Harvill, M. L., & Moore, M. E. (2021). Infusing 21st century skill development into the undergraduate curriculum: The formation of the iBEARS network. Journal of Microbiology & Biology Education, 22(2).. https://doi.org/10.1128/jmbe.00180-21
Su, J., & Yang, W. (2024). AI literacy curriculum and its relation to children's perceptions of robots and attitudes towards engineering and science: An intervention study in early childhood education. Journal of Computer Assisted Learning, 40(1), 241–253. https://doi.org/10.1111/jcal.12867
Su, J., & Zhong, Y. (2022). Artificial intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100072
Urquijo, I., & Natalio, E. (2017). Academic satisfaction at university: The relationship between emotional intelligence and academic engagement. Electronic Journal of Research in Educational Psychology, 15(3), 553–573. http://dx.doi.org/10.14204/ejrep.43.16064
Varghese, J., & Musthafa D. (2022). Integrating digital literacy skills and technological intelligence in the higher education curriculum of India: A new paradigm. 10(1), 31–38. https://doi.org/10.15415/iie.2022.1010
Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. https://doi.org/10.2478/jagi-2019-0002
Wang, X., Lin, W., Liu, L., Wu, Z., Wu, Y., & Yao, Y. (2022). Validation of the translated version of the EVAN-G scale in a Chinese-speaking population. BMC Anesthesiology, 22(1), 1–8. 10.1186/s12871-022-01909-w
Wolf, R. R., & Wolf, A. B. (2023). Using AI to evaluate a competency-based online writing course in nursing. Online Learning, 27(3), 41–69. https://orcid.org/0000-0002-2588-9673
Yi, Y. (2021). Establishing the concept of AI literacy. Jahr–European Journal of Bioethics, 12(2), 353–368. https://doi.org/10.21860/j.12.2.8
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Reham Salhab

This work is licensed under a Creative Commons Attribution 4.0 International License.
As a condition of publication, the author agrees to apply the Creative Commons – Attribution International 4.0 (CC-BY) License to OLJ articles. See: https://creativecommons.org/licenses/by/4.0/.
This licence allows anyone to reproduce OLJ articles at no cost and without further permission as long as they attribute the author and the journal. This permission includes printing, sharing and other forms of distribution.
Author(s) hold copyright in their work, and retain publishing rights without restrictions

