Design process for the generation of future education scenarios

Manetti, Alessandro, Lara-Navarra, Pablo and Sánchez-Navarro, Jordi Design process for the generation of future education scenarios. Comunicar, 2022, vol. 30, n. 73, pp. 33-44. [Journal article (Paginated)]

[thumbnail of Research article (English)]
Preview
Text (Research article (English))
10.3916_C73-2022-03-english.pdf - Published version

Download (19MB) | Preview
[thumbnail of 10.3916_C73-2022-03.pdf]
Preview
Text
10.3916_C73-2022-03.pdf - Published version

Download (18MB) | Preview

English abstract

This paper brings together studies on the future and design methodologies to develop a novel proposal for prospective analysis in the field of education. We apply mixed research methods in combination with design methodologies to open up new routes for studying the evolution, impact and behaviour of trends in future scenarios. Our research is based on an analysis of qualitative data from secondary sources and interviews with experts, which we transform into quantitative data using fuzzy logic models applied to uncontrolled Internet data environments. Our goal is to verify the validity of the DEFLEXOR method, which addresses the need to identify educational opportunities based on future scenarios defined using megatrends detected in various fields. Our conclusions highlight that combining qualitative and quantitative approaches with the methodological principles of design thinking, together with automated calculations arising from creative reflection by experts, constitutes a powerful methodology for developing specific prospective studies.

Spanish abstract

El presente trabajo relaciona los estudios sobre el futuro y la disciplina del diseño para plantear una propuesta novedosa de análisis prospectivo aplicado al campo de la educación. La exploración se sustenta en el empleo de métodos mixtos de investigación, que, combinados con metodologías propias del diseño, abren nuevas vías para estudiar la evolución, impacto y comportamiento de las tendencias en escenarios futuros. La investigación se fundamenta en el análisis de datos cualitativos, provenientes de fuentes secundarias y de entrevistas con expertos, que son transformados en datos cuantitativos mediante modelos matemáticos de lógica difusa aplicados a entornos de datos no controlados de Internet. El objetivo del estudio es verificar la validez del método DEFLEXOR, cuyo desarrollo responde a la necesidad de detectar oportunidades educativas basadas en escenarios de futuro, definidos a partir de megatendencias detectadas en varios campos, con el objeto de definir una oferta académica relevante para el diseño del futuro. Las conclusiones ponen en relieve que la unión de una perspectiva integradora de métodos cualitativos y cuantitativos con los principios metodológicos del design thinking, en convivencia con el uso de cálculos automatizados a partir de la reflexión creativa de expertos, constituye un poderoso constructo metodológico para el desarrollo concreto de estudios prospectivos.

Item type: Journal article (Paginated)
Keywords: Education; studies on the future; design; mixed methods; data mining; trends; Educación; estudios sobre futuro; diseño; métodos mixtos; minería de datos; tendencias
Subjects: B. Information use and sociology of information > BJ. Communication
G. Industry, profession and education.
G. Industry, profession and education. > GH. Education.
Depositing user: Alex Ruiz
Date deposited: 09 Jan 2023 12:16
Last modified: 09 Jan 2023 12:16
URI: http://hdl.handle.net/10760/43868

References

Berenskoetter, F. (2011). Reclaiming the vision thing: Constructivists as students of the future. International Studies Quarterly, 55(3), 647-668. https://doi.org/10.1111/j.1468-2478.2011.00669.x

Bonami, B., Piazentini, L., & Dala-Possa, A. (2020). Education, Big data and artificial intelligence: Mixed methods in digital platforms. [Educación, big data e inteligencia artificial: Metodologías mixtas en plataformas digitales]. Comunicar, 65, 43-52. https://doi.org/10.3916/C65-2020-04

Brown, T.J., & Kuratko, D.F. (2015). The impact of design and innovation on the future of education. Psychology of Aesthetics, Creativity, and the Arts, 9(2), 147-151. https://doi.org/10.1037/aca0000010

Campbell, D.T., & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105. https://doi.org/10.1037/h0046016

Creswell, J.W. (2014). Research design: Qualitative, quantitative and mixed methods approaches. Sage. https://doi.org/10.5539/elt.v12n5p40

Creswell, J.W. (2015). A concise introduction to mixed methods research. Sage. https://bit.ly/3hp6dDT

Creswell, J.W., & Plano-Clark, V.L. (2011). Designing and conducting mixed methods research. Sage. https://bit.ly/3spnC5D

Curry, L., & Nunez-Smith, M. (2015). Mixed methods in health sciences research. Sage. https://doi.org/10.4135/9781483390659

Dagnino, F.M, Dimitriadis, Y., Pozzi, F., Rubia-Avi, B., & Asensio-Pérez, J. (2020). The role of supporting technologies in a mixed methods research design. [El rol de las tecnologías de apoyo en un diseño de investigación de métodos mixtos]. Comunicar, 65, 53-63. https://doi.org/10.3916/C65-2020-05

De-Bono, E. (2000). Six thinking hats. Penguin Books. https://bit.ly/3hiWuPm

Decoufle, A.C. (1974). La prospectiva. Oikos-tau. https://bit.ly/3wFADZM

Dorst, K. (2011). The core of ‘design thinking’ and its application. Design Studies, 32(6), 521-532. https://doi.org/10.1016/j.destud.2011.07.006

Frisendal, T. (2012). Opportunity: Open information sharing. In Design thinking business analysis. Management for professionals. Springer. https://doi.org/10.1007/978-3-642-32844-2_13

Godet, M. (2001). Creating futures. Economica. https://bit.ly/3wBsiHP

Guetterman, T.C., Fetters, M.D., & Creswell, J.W. (2015). Integrating quantitative and qualitative results in health science mixed methods research through joint displays. Annals of Family Medicine, 13(6), 554-561. https://doi.org/10.1370/afm.1865

Huber, L., & Veldman, G.J. (2015). Manual thinking. Empresa Activa. https://bit.ly/33U7csr

Ito, J., & Howe, J. (2016). Whiplash: How to survive our faster future. Grand Central Publishing. https://bit.ly/3BTnX3A

Jick, T.D. (1979). Mixing qualitative and quantitative methods: Triangulation in action. Administrative Science Quarterly, 24(4), 602-611. https://doi.org/10.2307/2392366

Kuosa, T. (2010). Futures signals sense-making framework (FSSF): A start-up tool to analyse and categorise weak signals, wild cards, drivers, trends and other types of information. Futures, 42(1), 42-48. https://doi.org/10.1016/j.futures.2009.08.003

Kuosa, T. (2016). The evolution of strategic foresight: Navigating public policy making. Routledge. https://doi.org/10.4324/9781315558394

Lara-Navarra, P., Lopez-Borrull, A., Sánchez-Navarro, J., & Yànez, P. (2018). Medición de la influencia de usuarios en redes sociales: Propuesta SocialEngagement. Profesional de la Información, 27(4), 899-908. https://doi.org/10.3145/epi.2018.jul.18

Lawson, B. (1980). How designers think. Architectural Press. https://doi.org/10.4324/9780080454979

Manetti, A., Ferrer-Sapena, A., Sánchez-Pérez, E.A., & Lara-Navarra, P. (2021). Design trend forecasting by combining conceptual analysis and semantic projections: New tools for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1). https://doi.org/10.3390/joitmc7010092

Manzini, E., & Coad, R. (2015). Design, when everybody designs: An introduction to design for social innovation. The MIT Press. https://doi.org/10.7551/mitpress/9873.001.0001

Martínez-Martínez, S., & Lara-Navarra, P. (2014). El big data transforma la interpretación de los medios sociales. Profesional de la Información, 23(6), 575-581. https://doi.org/10.3145/epi.2014.nov.03

Meyer, I., & Mackintosh, K. (1994). Phraseme analysis and concept analysis: Exploring a symbiotic relationship in the specialized lexicon. In W. Martin, et al. (Eds.), Proceedings of the 6th EURALEX International Congress (pp. 339-348). Euralex. https://bit.ly/3M68u4N

Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018). Foundations of machine learning. MIT Press. https://bit.ly/3K3v7VX

Mojica, F. J. (2005). La construcción del futuro. Concepto y modelo de prospectiva estratégica, territorial y tecnológica, Books, 1(26). https://bit.ly/3G4lRA6

Morse, J.M., & Niehaus, L. (2009). Mixed method design. Principles and procedures. Routledge. https://bit.ly/3tfUJYI

Oxman, R. (2017). Thinking difference: Theories and models of parametric design thinking. Design Studies, 52, 4-39. https://doi.org/10.1016/j.destud.2017.06.001

O’Halloran, K.L., Tan, S., Pham, D.S., Bateman, J., & Vande-Moere, A. (2018). A digital mixed methods research design: Integrating multimodal analysis with data mining and information visualization for big data analytics. Journal of Mixed Methods Research, 12(1), 11-30. https://doi.org/10.1177/1558689816651015

Pereira-Pérez, Z. (2011). Los diseños de método mixto en la investigación en educación: Una experiencia concreta. Revista Electrónica Educare, 25(1), 15-29. https://doi.org/10.15359/ree.15-1.2

Ramírez-Montoya, M.S., & Lugo-Ocando, J. (2020). Systematic review of mixed methods in the framework of educational innovation. [Revisión sistemática de métodos mixtos en el marco de la innovación educativa]. Comunicar, 65, 9-20. https://doi.org/10.3916/C65-2020-01

Rowe, P.G. (1987). Design thinking. MIT Press. https://bit.ly/3HjpL7f

Saorín, T., & Pastor-Sánchez, J.A. (2018). Wikidata y DBpedia: Viaje al centro de la web de datos. Anuario ThinkEPI, 12, 207-214. https://doi.org/10.3145/thinkepi.2018.31

Schwartz, P. (1991). The art of long view. Crown Business. https://bit.ly/3lskZMaShavlik, J.W., Dietterich, T., & Dietterich, T.G. (1990). Readings in machine learning. Morgan Kaufmann. https://bit.ly/36Mq0uT

Suchanek, F.M., Kasneci, G., & Weikum, G. (2007). Yago: A core of semantic knowledge. In Proceedings of the 16th international conference on World Wide Web (pp. 697-706). https://doi.org/10.1145/1242572.1242667

Vejlgaard, H. (2007). Anatomy of a trend. Confetti Publishing. https://bit.ly/3so6wF4

Visser, W. (2006). The cognitive artifacts of designing. CRC Press. https://doi.org/10.1201/9781482269529


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item