ABSTRACT
Interdisciplinarity now saturates all corners of academia, yet what it is, how it is done, and how it is taught remain open questions. Where some degree of consensus has arisen is that the increasing complexity of the contemporary era is driving interdisciplinarity and addressing complexity demands an epistemological shift from a reductionist examination of isolated parts to the systemic examination of the integrated whole. Such a shift compels an approach to knowledge that is one of engagement thus requiring a cognitive toolkit that includes such things as empathy, open-mindedness, tolerance of ambiguity, and intellectual courage. Acquiring such skills typically requires human interaction, and the inadequacy of current educational tools has become very apparent in the amplified online environment prompted by the global pandemic. This paper outlines the epistemological demands of Interdisciplinary Studies and the challenges of current technology. It then proposes the application of the emerging digital technologies to address these challenges.
- Adams, C. Learning management systems as sites of surveillance, control, and corporatization: A review of the critical literature. In Proceedings of Society for Information Technology & Teacher Education International Conference 2010 (San Diego, CA, USA, March 2010), D. Gibson and B. Dodge, Eds., Association for the Advancement of Computing in Education (AACE), pp. 252–257.Google Scholar
- Alammary, A., Alhazmi, S., Almasri, M., and Gillani, S. Blockchain-based applications in education: A systematic review. Applied Sciences 9, 12 (2019).Google ScholarCross Ref
- Alhazmi, A., Imtiaz, A., Alhammadi, F., and Kaed, E. Success and failure aspects of LMS in e-learning systems. International Journal of Interactive Mobile Technologies (iJIM) 15, 11 (2021), 133–147.Google ScholarCross Ref
- Arduini, G. Action, interaction, interfaces: Physical interaction in e-learning environments. Sport Science 13, 1 (2020), 97–100.Google Scholar
- Bdiwi, R., Runz, C. d., Faiz, S., and Cherif, A. A. A blockchain based decentralized platform for ubiquitous learning environment. In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT) (2018), pp. 90–92.Google ScholarCross Ref
- Bore, N., Karumba, S., Mutahi, J., Darnell, S. S., Wayua, C., and Weldemariam, K. Towards blockchain-enabled school information hub. In Proceedings of the Ninth International Conference on Information and Communication Technologies and Development (New York, NY, USA, 2017), ICTD '17, Association for Computing Machinery.Google ScholarDigital Library
- Capra, F., and Luisi, P. The Systems View of Life: A Unifying Vision. Cambridge University Press, 2016.Google Scholar
- Chen, L., Chen, P., and Lin, Z. Artificial intelligence in education: A review. IEEE Access 8 (2020), 75264–75278.Google ScholarCross Ref
- Crown, S., Fuentes, A., Jones, R., Nambiar, R., and Crown, D. Anne G. Neering: Interactive chatbot to engage and motivate engineering students. Computers in Education Journal 21, 2 (April 2011), 24–34.Google Scholar
- Dreyfus, H. L. Anonymity versus commitment: The dangers of education on the Internet. Ethics and Information Technology 1, 1 (1999), 369–378.Google ScholarDigital Library
- Duffy, M. C., and Azevedo, R. Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system. Computers in Human Behavior 52 (2015), 338–348Google ScholarDigital Library
- Ess, C. Liberal arts and distance education: Can Socratic virtue (arete) and Confucius' exemplary person (junzi) be taught online. In Arts & Humanities in Higher Education (2003), Chulalongkorn University Press, pp. 117–137.Google ScholarCross Ref
- Georgescu, M., and Popescul, D. How could internet of things change the e-learning environment. In eLearning & Software for Education (2015), vol. 1.Google Scholar
- Han, M., Li, Z., He, J. S., Wu, D., Xie, Y., and Baba, A. A novel blockchain-based education records verification solution. In Proceedings of the 19th Annual SIG Conference on Information Technology Education (New York, NY, USA, 2018), SIGITE '18, Association for Computing Machinery, pp. 178–183.Google Scholar
- Lam, T. Y., and Dongol, B. A blockchain-enabled e-learning platform. Interactive Learning Environments (2020), 1–23.Google Scholar
- Lizcano, D., Lara, J., White, B., and Aljawarneh, S. A. Blockchain-based approach to create a model of trust in open and ubiquitous higher education. Journal of Computing in Higher Education 32 (2020), 109–134.Google ScholarCross Ref
- Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., and Tsai, C.-C. Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology 11 (2020), 2748.Google ScholarCross Ref
- Maiese, M. Online education as a "mental institution". Philosophical Psychology 34 (October 2020).Google Scholar
- Mcwilliam, E., Tan, J., and Dawson, S. Creativity, digitality and twenty-first-century schooling. In Education in the Creative Economy: Knowledge and Learning in the Age of Innovation, D. Araya and M. A. Peters, Eds. Peter Lang Publishing, 2010, pp. 469–484.Google Scholar
- Miller, J. H. A crude look at the whole: The science of complex systems in business, life, and society. Basic Books, 2016.Google Scholar
- Nespor, J. Cyber schooling and the accumulation of school time. Pedagogy, Culture & Society 27, 3 (2019), 325–341.Google Scholar
- Newell, William H. A theory of interdisciplinary studies. Issues in integrative studies 19(1) (2001): 1-25.Google Scholar
- Panthee, R. K. Inviting Citizen Designers to design learning management system (LMS) interfaces for student agency in a crosscultural digital contact zone. PhD thesis, The University of Texas at El Paso, 2014.Google Scholar
- Piña, A. A. An overview of learning management systems. Virtual Learning Environments: Concepts, methodologies, tools and applications (2012), 33–51.Google Scholar
- Repko, A., Szostak, R., and Buchberger, M. Introduction to Interdisciplinary Studies. SAGE Publications, 2019.Google Scholar
- Roll, I., and Wylie, R. Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education 26 (February 2016).Google ScholarCross Ref
- Menken, S., and Keestra, M. (Eds.) An Introduction to Interdisciplinary Research: Theory and Practice. Perspectives on Interdisciplinarity. Amsterdam University Press, 2016.Google Scholar
- Sandy, D., Gary, K., and Sohoni, S. Impact of a virtualized IoT environment on online students. In 2020 IEEE Frontiers in Education Conference (FIE) (2020), pp. 1–5.Google ScholarDigital Library
- Suteanu, C. Complexity, science and the public: The geography of a new interpretation. Theory, Culture & Society 22, 5 (2005), 113–140.Google Scholar
- Swan, M., and de Filippi, P. Toward a philosophy of blockchain: A symposium: Introduction. Metaphilosophy 48, 5 (2017), 603–619.Google Scholar
- Ward, D. What's lacking in online learning? Dreyfus, Merleau-Ponty and bodily affective understanding. Journal of Philosophy of Education 52, 3 (2018), 428–450.Google Scholar
- Woodill, S., and Akiyama, Y. Integrating User-Centred Design approaches for a course design framework for interdisciplinary studies teaching and learning. Journal of Teaching and Learning (JTL) 14, 1 (2020), 93–107.Google Scholar
- Woodill, S., Plate, R., and Jagoda, N. How interdisciplinarians work. Journal of Interdisciplinary Studies in Education 8, 2 (2019).Google ScholarCross Ref
- Yoon, H. Digital flesh: a feminist approach to the body in cyberspace. Gender and Education 33, 5 (2021), 578–593.Google ScholarCross Ref
- Zawacki-Richter, O., Marin, V. I., Bond, M., and Gouverneur, F. Systematic review of research on artificial intelligence applications in higher education where are the educators? International Journal of Educational Technology in Higher Education 16 (2019), 1–27.Google ScholarCross Ref
- Zhong, J., Xie, H., Zou, D., and Chui, D. K. A blockchain model for word-learning systems. In 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC) (2018), pp. 130–131.Google ScholarCross Ref
Index Terms
- Cultivating The Cognitive-Toolkit Online: Emerging Digital Technologies for Interdisciplinary Studies
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