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The Future of Education 13th Edition 2023

Active and Transformative Learning for the Integration of Artificial Intelligence Courses for Business School Students

Miltiadis Lytras

Abstract

In recent years, Artificial Intelligence has evolved as a streamline theme for information systems and computer sciences educational curricula in higher education. In this research we investigate the utilization of the Active and Transformative Learning paradigm for the integration of Artificial Intelligence courses in the curricula of Business Schools. For this purpose, our research is organized as follows. First, we communicate the determinants of an ATL strategy proposed by the authors, and then we provide a benchmark for AI courses in various business schools curricula. Last but not least we communicate the outline of two proposed courses for the integration of Artificial Intelligence in Business Schools training programs both undergraduate and postgraduate. The first one is entitled AI for Next Generation Decision Making Capability and the other one AI for Innovation and Entrepreneurship. In both cases we integrate our proposition with ten ATL student-driven activities.

Keywords

Active and Transformative Learning, Curriculum Development, Artificial Intelligence, Business Schools, Innovation, Business Information Systems.

 

References
  1. Naeve, A., Sicilia, M.-A., & Lytras, M. D. (2008). Learning Processes and processing learning: from organizational needs to learning designs. Journal of Knowledge Management. Journal of Knowledge Management, 12(6), 5- 14. https://doi.org/10.1108/13673270810913586
  2. Zhuhadar, L., Yang, R., & Lytras, M. D. (2013). The impact of Social Multimedia Systems on cyberlearners. Computers in Human Behavior, 29(2), 378–385.
  3. Lytras, M. D., Naeve A., Pouloudi A. (2005). A knowledge management roadmap for e-learning: the way ahead. International Journal of Distance Education Technologies (IJDET), 3(2) pp: 68-75
  4. Lytras, Miltiadis D, & de Pablos, P. O. (2009a). Social Web Evolution: Integrating Semantic Applications. DOI: 10.4018/978-1-60566-272-5, IGI Global, ISBN13: 9781605662725
  5. Arafat, S., Aljohani, N., Abbasi, R., Hussain, A., & Lytras, M. (2019). Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study. Computers in Human Behavior, 92, 478–486.
  6. AI-Youbi, A. O., Al-Hayani, A., Bardesi, H. J., Basheri, M., Lytras, M. D., & Aljohani, N. R. (2020). The King Abdulaziz University (KAU) pandemic framework: a methodological approach to leverage social media for the sustainable management of higher education in crisis. Sustainability, 12(11), 4367.
  7. Zhang, X., Jiang, S., Ordonez de Pablos, P., Lytras, M.D., Sun, Y. (2017). How virtual reality affects perceived learning effectiveness: a task’s technology fit perspective. Behaviour and Information Technology, 36 (5), 548-556. DOI: 10.1080/0144929X.2016.1268647
  8. Zhang, X., Zhang, Y., Sun, Y., Lytras, M., Ordonez de Pablos, P., He, W. (2017b). Exploring the effect of transformational leadership on individual creativity in e-learning: a perspective of social exchange theory. Studies in Higher Education, pp. 1-15. Article in Press. DOI: 10.1080/03075079.2017.1296824
  9. Lytras, M.D., Mathkour, H. (2017). Advances in research in social networking for open and distributed learning. International Review of Research in Open and Distance Learning, 18 (1), pp. i-iv.
  10. Lytras, M.D., Raghavan, V., Damiani, E. (2017b). Big data and data analytics research: From metaphors to value space for collective wisdom in human decision making and smart machines. International Journal on Semantic Web and Information Systems, 13 (1), 1-10. DOI: 10.4018/IJSWIS.2017010101
  11. Lytras, M.D., Damiani, E., Mathkour, H. (2016). Virtual reality in learning, collaboration and behaviour: content, systems, strategies, context designs. Behaviour and Information Technology, 35 (11), 877-878. DOI: 10.1080/0144929X.2016.1235815
  12. Lytras, M.D., Visvizi, A., Damiani, D., Mthkour, H. (2018a) ‘The cognitive computing turn in education: prospects and application’, Computers in Human Behavior, https://doi.org/10.1016/j.chb.2018.11.011
  13. Lytras, M.D., Aljohani, N.R., Visvizi, A., Ordonez De Pablos, P., Gasevic, D. (2018b) ‘Advanced decision-making in higher education: learning analytics research and key performance indicators’, Behaviour & Information Technology, 37:10-11, 937-940, DOI: 10.1080/0144929X.2018.1512940
  14. Lytras, M.D., Visvizi, A., Daniela, L., Sarirete, A., Ordonez De Pablos, P. (2018c) ‘Social Networks Research for Sustainable Smart Education’, Sustainability, 10 (9), 2974 https://doi.org/10.3390/su10092974
  15. Visvizi, A., Jussila, J., Lytras, M.D., Ijäs, M. (2020b) ‘Tweeting and mining OECD-related microcontent in the post-truth era: a cloudbased app’, Computers in Human Behavior, Volume 107, June 2020, 105958, https://doi.org/10.1016/j.chb.2019.03.022

 
Publication date: 2023/06/30
ISBN: 979-12-80225-59-7
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