Abstract
After understanding AI literacy from the perspective of human-design factor, this chapter presents a conceptual framework introducing an expanded view of AI literacy from educators’ perspectives. It moves beyond technological competencies and tries to identify a more holistic and broader understanding about AI literacy education. When using these novel AI tools to teach, educators need to be equipped with adequate technological literacy skills and knowledge. In this way, they can teach AI literacy and promote other digital competencies such as collaboration and communication among their students in AI-driven environments. Since teachers may not have rich technical knowledge to apply AI educational applications to facilitate their teaching. As one of the most important twenty-first-century competencies, AI literacy can be conceptualized as the knowledge, skills, and attitudes necessary to be competitive in the twenty-first-century workforce. Teacher education and professional development should be reworked to incorporate training in teaching key digital competencies.
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References
Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 1101.
Ahuja, V., & Nair, L. V. (2021). Artificial intelligence and technology in COVID Era: A narrative review. Journal of Anaesthesiology, Clinical Pharmacology, 37(1), 28.
Akgun, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 1–10.
Ally, M. (2019). Competency profile of the digital and online teacher in future education. The International Review of Research in Open and Distance Learning, 20(2).
Caena, F., & Redecker, C. (2019). Aligning teacher competence frameworks to 21st century challenges: The case for the European digital competence framework for educators (Digcompedu). European Journal of Education, 54(3), 356–369.
Cetindamar, D., Kitto, K., Wu, M., Zhang, Y., Abedin, B., & Knight, S. (2022). Explicating AI literacy of employees at digital workplaces. IEEE Transactions on Engineering Management.
Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002.
Crompton, H. (2017). ISTE standards for educators: A guide for teachers and other professionals. International Society for Technology in Education.
Demchenko, M. V., Gulieva, M. E., Larina, T. V., & Simaeva, E. P. (2021). Digital transformation of legal education: Problems, risks and prospects. European Journal of Contemporary Education, 10(2), 297–307.
Deeks, A. (2019). The judicial demand for explainable artificial intelligence. Columbia Law Review, 119(7), 1829–1850.
Gleason, B., & Von Gillern, S. (2018). Digital citizenship with social media: Participatory practices of teaching and learning in secondary education. Journal of Educational Technology & Society, 21(1), 200–212.
Gore, J. M., Miller, A., Fray, L., Harris, J., & Prieto, E. (2021). Improving student achievement through professional development: Results from a randomised controlled trial of quality teaching rounds. Teaching and Teacher Education, 101, 103297.
Guerrero-Roldán, A. E., Rodríguez-González, M. E., Bañeres, D., Elasri-Ejjaberi, A., & Cortadas, P. (2021). Experiences in the use of an adaptive intelligent system to enhance online learners’ performance: A case study in economics and business courses. International Journal of Educational Technology in Higher Education, 18(1), 1–27.
Healy, E. F., & Blade, G. (2020). Tips and tools for teaching organic synthesis online. Journal of Chemical Education, 97(9), 3163–3167.
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001.
Jokhan, A., Chand, A. A., Singh, V., & Mamun, K. A. (2022). Increased digital resource consumption in higher educational institutions and the artificial intelligence role in informing decisions related to student performance. Sustainability, 14(4), 2377.
Kexin, L., Yi, Q., Xiaoou, S., & Yan, L. (2020). Future education trend learned from the Covid-19 pandemic: Take artificial intelligence online course as an example. In 2020 International Conference on Artificial Intelligence and Education (ICAIE) (pp. 108–111). IEEE.
Kostopoulos, G., Panagiotakopoulos, T., Kotsiantis, S., Pierrakeas, C., & Kameas, A. (2021). Interpretable models for early prediction of certification in MOOCs: A case study on a MOOC for Smart City professionals. IEEE Access, 9, 165881–165891.
Kutaka, T. S., Smith, W. M., Albano, A. D., Edwards, C. P., Ren, L., Beattie, H. L., Lewis, W. J., Heaton, R. M., & Stroup, W. W. (2017). Connecting teacher professional development and student mathematics achievement: A 4-year study of an elementary mathematics specialist program. Journal of Teacher Education, 68(2), 140–154.
Li, D., & Du, Y. (2017). Artificial intelligence with uncertainty. CRC Press.
Lin, M. P. C., & Chang, D. (2020). Enhancing post-secondary writers’ writing skills with a chatbot. Journal of Educational Technology & Society, 23(1), 78–92.
Lindfors, M., Pettersson, F., & Olofsson, A. D. (2021). Conditions for professional digital competence: The teacher educators’ view. Education Inquiry, 12(4), 390–409.
Misthou, S., & Paliouras, A. (2022). Teaching Artificial Intelligence in K-12 Education: Competences and Interventions. In Interactive Mobile Communication, Technologies and Learning, Springer, Cham, pp. 887–896.
Mohammed, Z., Arafa, A., Atlam, E. S., El-Qerafi, N., El-Shazly, M., Al-Hazazi, O., & Ewis, A. (2021). Psychological problems among the university students in Saudi Arabia during the COVID-19 pandemic. International Journal of Clinical Practice, 75(11), e14853.
National Research Council. (2012). Education for life and work: Developing transferable knowledge and skills in the 21st century. National Academies Press.
Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of artificial intelligence powered digital writing assistant in higher education: Randomized controlled trial. Heliyon, 7(5), e07014.
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021a). AI literacy: definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021b). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.
Ng, D. T. K., Luo, W., Chan, H. M. Y., & Chu, S. K. W. (2022). Using digital story writing as a pedagogy to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, 3, 100054.
Rampton, V., Mittelman, M., & Goldhahn, J. (2020). Implications of artificial intelligence for medical education. The Lancet Digital Health, 2(3), e111–e112.
Riina, V., Stefano, K., & Yves, P. (2022). DigComp 2.2: the digital competence framework for citizens – With new examples of knowledge, skills and attitudes. Retrieved from https://publications.jrc.ec.europa.eu/repository/handle/JRC128415
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.
Sijing, L., & Lan, W. (2018). Artificial intelligence education ethical problems and solutions. In 2018 13th International Conference on Computer Science & Education (ICCSE) (pp. 1–5). IEEE.
Singh, S., Sharma, P. K., Yoon, B., Shojafar, M., Cho, G. H., & Ra, I. H. (2020). Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable Cities and Society, 63, 102364.
Trujillo-Cabezas, R. (2020, June). Towards the development of future trend scenarios through dynamic analysis: A proposal of integration of Artificial Intelligence, Data Sciences and the field of Futures Studies to adapt to new environments. In 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1–6). IEEE.
Uzialko, A. (2022). How artificial intelligence will transform businesses. Retrieved from https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html
Van Laar, E., Van Deursen, A. J., Van Dijk, J. A., & De Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 72, 577–588.
Webber-Youngman, R. C. W. (2017). Life skills needed for the 4th industrial revolution. Journal of the Southern African Institute of Mining and Metallurgy, 117(4), iv–v.
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235.
Wu, J. Y., & Peng, Y. C. (2017). The modality effect on reading literacy: Perspectives from students’ online reading habits, cognitive and metacognitive strategies, and web navigation skills across regions. Interactive Learning Environments, 25(7), 859–876.
Wu, J. S., Chien, T. H., Chien, L. R., & Yang, C. Y. (2021). Using artificial intelligence to predict class loyalty and plagiarism in students in an online blended programming course during the COVID-19 pandemic. Electronics, 10(18), 2203.
Yau, K. W., Chai, C. S., Chiu, T. K., Meng, H., King, I., & Yam, Y. (2022). A phenomenographic approach on teacher conceptions of teaching artificial intelligence (AI) in K-12 schools. Education and Information Technologies, 1–24.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27.
Zulić, H. (2019). How AI can change/improve/influence music composition, performance and education: three case studies. INSAM Journal of Contemporary Music, Art and Technology, 1(2), 100–114.
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Ng, D.T.K., Leung, J.K.L., Su, M.J., Yim, I.H.Y., Qiao, M.S., Chu, S.K.W. (2022). AI Literacy from Educators’ Perspectives. In: AI Literacy in K-16 Classrooms. Springer, Cham. https://doi.org/10.1007/978-3-031-18880-0_10
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DOI: https://doi.org/10.1007/978-3-031-18880-0_10
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