Abstract
The inclusion of established methodologies from the science of foresight within an ICT course structure can lead to increased levels of student creativity when these processes are learned through a multimedia enhanced learning environment.
In 2014, I was asked by the ICT Department of the Faculty of Engineering and Science at the University of Agder to design and teach a master’s course on the future of mobile learning. After examining the student cohort, department need, technology resources, etc. I decided to undertake a three-pillar approach to the course design, using the science of foresight as an overarching framework and to build out the curriculum around this future-focused platform.
This framework leveraged the unique characteristics of the science of foresight as it seeks to determine and create future opportunities in any specific domain. This provided an opportunity to involve each student in ultimately solving potential future real-life problems by learning the methodologies and techniques for alternative thinking in a plausible future landscape full of unknowns and to develop novel multimedia approaches and tools for the future of mobile learning. This placed considerable emphasis on the development of creative skills, both cognitive and physical and allowed them to experience present and emerging mobile learning challenges for themselves. Accordingly, the final project for the students involved creating a fully structured project thesis that demonstrated how emerging multimedia could deliver future content of a mobile learning course curriculum that he or she had designed and deemed would be salient in 2030. It required each student to create a future course based upon the needs of a plausible, future workforce landscape and potential future jobs incorporating critical 21st Century skills, with increased creativity as a central outcome.
Subsequent research around the question of whether or how the future of mobile learning course delivered increased creativity, established that the science of foresight elements, such as having to place oneself and think in an alternative future landscape, creating novel future scenarios and solving potential future problems of discontinuity were as important or more important for the students’ increased levels of creativity as the emerging multimedia learning approaches and tools they used or developed.
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Al-Huneidi, A., Schreurs, J.: Constructivism based blended learning in higher education. Int. J. Emerg. Technol. Learn. (iJET) 7(1), 4–9 (2012)
Bless, H., Fiedler, K.: Mood and the regulation of information processing and behavior. In: Forgas, J.P., Williams, K.D., van Hippel, W. (eds.) Hearts and Minds: Affective Influences on Social Cognition and Behavior, pp. 65–84. Psychology Press, New York (2006)
Bock, M.: Life worlds and information habitus. Salzburg Vis. Commun. 3(1), 281–293 (2009)
Bodenhamer, D., Corrigan, J., Harris, T.: Deep Maps and Spatial Narratives. Indiana University Press, Bloomington (2015)
Chirico, A., Yaden, D., Riva, G., Gaggioli, A.: The potential of virtual reality for the investigation of awe. Front. Psychol. 7, 1766 (2016)
Cigman, R., Davis, A.: New Philosophies of Learning. Wiley-Blackwell, Malden (2009)
Adler, P., Florida, R., King, K.E., Mellander, C.: Creative economies. Martin Prosperity Institute Report (2015)
Fogarty, R.: Problem-Based Learning and Other Curriculum Models for the Multiple Intelligences Classroom. IRI/Skylight Training and Publishing, Arlington Heights (1997)
Gabrielli, S., Zoels, J.C.: Creating imaginable futures: using human-centered design strategies as a foresight tool. In: Proceedings of the 2003 Conference on Designing for User Experiences, DUX 2003, San Francisco, California, 06–07 June 2003, pp. 1–14 (2003)
Garrison, D.R., Anderson, T., Archer, W.: Critical inquiry in a text-based environment: Computer conferencing in higher education. Internet High. Educ. 2(2–3), 1–19 (2000)
Hansen, E., Lundh, L., Homman, A., Wångby-Lundh, M.: Measuring mindfulness: pilot studies with the Swedish versions of the mindful attention awareness scale and the Kentucky inventory of mindfulness skills. Cogn. Behav. Therapy 38(1), 2–15 (2009)
Howland, J., Moore, J.: Student perceptions as distance learners in internet-based courses. Distance Educ. 23(2), 183–195 (2002)
Intuit Inc.: Intuit 2020 Report: Twenty Trends That Will Shape The Next Decade. Intuit Inc. (2010). http://http-download.intuit.com/http.intuit/CMO/intuit/futureofsmallbusiness/intuit_2020_report.pdf. Accessed 24 May 2017
Isen, A.M., Daubman, K.A.: The influence of affect on categorization. J. Pers. Soc. Psychol. 47, 1206–1217 (1984)
Lankshear, C., Knobel, M.: Digital literacy and digital literacies: policy, pedagogy and research considerations for education. Nord. J. Dig. Lit. 9(4), 8–20 (2015)
McRobert, L.: Char Davies’ Immersive Virtual Art and the Essence of Spatiality. University of Toronto Press, Toronto (2007)
Miliszewska, I., Horwood, J.: Engagement theory. ACM SIGCSE Bull. 38(1), 158 (2006)
Nber.org: December 2016 NBER Digest (2018). http://www.nber.org/digest/dec16/w22667.html. Accessed 25 July 2018
Oganisjana, K., Laizans, T.: Opportunity–oriented problem–based learning for enhancing entrepreneurship of university students. In: Proceedings of Procedia - Social and Behavioral Sciences, vol. 213, pp. 135–141 (2018)
Pearce, J., Ainley, M., Howard, S.: The ebb and flow of online learning. Comput. Hum. Behav. 21(5), 745–771 (2005)
Rose, N., Aicardi, C., Reinsborough, M.: Foresight report on future neuroscience and the human brain project (2015)
Rossin, D., Ro, Y.K., Klein, B.D., Guo, Y.: The effects of flow on learning outcomes in an online information management course. J. Inf. Syst. Educ. 20, 87–98 (2009)
Rotherham, A.J., Willingham, D.T.: “21st-century” skills. Am. Educ. 34, 17–20 (2010)
Semega, J.L., Fontenot, K.R., Kollar, M.A.: Income and Poverty in the United States: 2016. US Census Bureau, US Department of Commerce, 12 September 2017. https://www.census.gov/library/publications/2017/demo/p60-259.html
The Government Office for Science: Foresight Mental Capital and Wellbeing Project. Final Project report, pp. 20–21. The Government Office for Science, London (2008). https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/292450/mental-capital-wellbeing-report.pdf. Accessed 3 June 2018
Tittenberger, P., Siemens, G.: Handbook of Emerging Technologies for Learning. University of Manitoba, Winnipeg (2009)
Wankel, L., Blessinger, P.: Increasing Student Engagement and Retention Using Multimedia Technologies. Emerald, Bingley (2013)
Woodgate, D., Isabwe, G.: Developing future vision landscape and models of technology enhanced learning. In: INTED 2018 Proceedings, pp. 6824–6835 (2018)
Woodgate, D.: The “sense event” – from sensation to imagination. Comput. Entertain. 10, 3:1–3:33 (2012)
Woodgate, D.: Future Frequencies. Fringecore Publishing, Austin (2004)
Woodgate, D.: Optimizing student interaction, engagement and collaboration through blended learning (keynote presentation). In: Adila Conference, Kristiansand, 8–9 December 2016 (2016)
World Economic Forum: The Future of Jobs Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution, 1st edn. World Economic Forum (2016). http://www3.weforum.org/docs/WEF_Future_of_Jobs.pdf. Accessed 22 May 2017
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Woodgate, D. (2018). Foresight as a Tool for Increasing Creativity in the Age of Technology-Enhanced Learning. In: Kalajdziski, S., Ackovska, N. (eds) ICT Innovations 2018. Engineering and Life Sciences. ICT 2018. Communications in Computer and Information Science, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-00825-3_3
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