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A Cluster Analysis of MOOC Stakeholder Perspectives

Análisis de cluster de perspectivas de participantes en MOOC

Abstract

Massive Open Online Courses (MOOCs) are providing opportunities for thousands of learners to participate in free higher education courses online. MOOCs have unique features that make them an effective Technology-Enhanced Learning (TEL) approach. Institutions are offering a growing variety of MOOCs. Nevertheless, there are several crucial challenges that should be considered in the development of MOOCs, e.g., the drop-out rate of over 95% of course participants. One of the potential reasons for that is the complexity and diversity of MOOC participants. This diversity is not only related to the cultural and demographic profile, but also considers the diverse motives and perspectives when enrolled in MOOCs. This paper aims to cluster and analyze the different objectives of MOOC stakeholders to build a deeper and better understanding of their behaviors. Our main finding was a set of eight clusters, i.e., blended learning, flexibility, high quality content, instructional design and learning methodologies, lifelong learning, network learning, openness, and student-centered learning. This cluster schema creates a meaningful picture for the MOOC community.

Resumen

Los cursos en línea masivos y abiertos (Massive Open Online Courses, MOOC) proporcionan oportunidades ilimitadas para la participación de miles de estudiantes en cursos de enseñanza superior en línea. Los MOOC tienen características únicas que los convierten en un método efectivo del aprendizaje electrónico, en concreto el aprendizaje mejorado por tecnología (Technology-Enhanced Learning, TEL). Numerosas instituciones ofrecen una creciente variedad de MOOC. Sin embargo, existen múltiples retos que deben ser considerados al desarrollar MOOC, por ejemplo, la tasa de abandono de participantes en los cursos es del 95%. Una de las posibles razones para ello es la complejidad y la diversidad de los participantes en los MOOC. Está diversidad no está solamente relacionada con el perfil demográfico y cultural, sino también con los diversos motivos y perspectivas que los usuarios tienen al inscribirse en MOOC. La intención de este artículo es agrupar en dústeres los objetivos de los participantes en MOOC y analizarlos para lograr una mayor comprensión de sus comportamientos. El principal resultado es el descubrimiento de ocho clústeres: aprendizaje mezclado (blended learning), flexibilidad (flexibility), contenido de alta calidad (high quality content), diseño instruccional y metodologías de aprendizaje (instructional design and learning methodologies), aprendizaje a lo largo de la vida (lifelong learning), aprendizaje en red (network learning), apertura (openness) y aprendizaje centrado en el estudiante (student-centered learning). Este esquema de agrupamiento en clústeres crea una visión significativa para la comunidad de participantes en MOOC.

References

  • Arnold, P., Kumar, S., Thillosen, A., & Ebner, M. Offering cMOOCs collaboratively: The COER13 experience from the convenors’ perspective. In: eLeanrning Papers, 37, 63–68.

  • Bazeley, P., & Jackson, K. (Eds.). (2013). Qualitative data analysis with NVivo. Sage Publications Limited.

  • Chatti, M. A. (2010). Personalization in Technology Enhanced Learning: A Social Software Perspective (Doctoral Dissertation), RWTH Aachen University, Shaker Verlag.

  • Coates, K. (2013). The Re-invention of the Academy: How Technologically Mediated Learning Will—And Will Not—Transform Advanced Education. In: Hybrid Learning and Continuing Education (pp. 1–9). Springer Berlin Heidelberg.

    Chapter  Google Scholar 

  • Cretchley, J., Gallois, C., Chenery, H., & Smith, A. (2010). Conversations between carers and people with Schizophrenia: a qualitative analysis using Leximancer. Qualitative Health Research, 20(12), 1611–1628.

    Article  Google Scholar 

  • Daniel, J. (2012). Making sense of MOOCs: Musings in a maze of myth, paradox and possibility. Journal of Interactive Media in Education, 3. Retrieved from http://www.jime.open.ac.uk/jime/article/viewArticle/2012-18/html

  • De Waard, I., Abajian, S., Gallagher, M. S., Hogue, R., Keskin, N., Koutropoulos, A., & Rodriguez, O. C. (2011). Using mLearning and MOOCs to understand chaos, emergence, and complexity in education. The International Review of Research in Open and Distance Learning, 12(7), 94–115.

    Google Scholar 

  • Downes, S. (2006). Learning networks and connective knowledge. Instructional Technology Forum: Paper 92. Retrieved from http://it.coe.uga.edu/itforum/paper92/paper92.html

  • Fernandez, J. T. (2013). Professionalisation of teaching in universities: Implications from a training perspective. RUSC. Universities and Knowledge Society Journal, 10(1), 170–184.

    Google Scholar 

  • Gaebel, M. (2013). MOOCs Massive Open Online Courses. EUA Occasional papers. Retrieved from http://www.eua.be/Libraries/Publication/EUA_Occasional_papers_MOOCs.sflb.ashx

  • Hill, P. (2013). Some validation of MOOC student patterns graphic. Retrieved from http://mfeldstein.com/validation-mooc-student-patterns-graphic/

  • Kop, R., Fournier, H., & Mak, J. S. F. (2011). A pedagogy of abundance or a pedagogy to support human beings? Participant support on Massive Open Online Courses. The International Review of Research in Open and Distance Learning, 12(7), 74–93.

    Google Scholar 

  • Kruiderink, N. (2013). Open buffet of higher education. Trend report: open educational resources 2013, 54.

  • Leximancer (2013). From Words to Meaning to Insight. Retrieved from https://www.leximancer.com/

  • Liyanagunawardena, T. R., Adams, A. A., & Williams, S. A. (2013). MOOCs: A systematic study of the published literature 2008–2012. The International Review of Research in Open and Distance Learning, 14(3), 202–227.

    Google Scholar 

  • Mackness, J., Mak, S. F. J., & Wiliams, R. (2010). The ideals and reality of participating in a MOOC. Paper presented at the 7th International Conference on Networked Learning, 266–274.

  • Mayring, P. (2000). Qualitative content analysis. Qualitative Social Research, 7(2), Art. 20. Retrieved from: http://www.qualitative-research.net/index.php/fqs/article/view/1089/2385

  • Mayring, P. (2003). Qualitative Inhaltsanalyse, Grundlagen und Techniken (8th ed.). Weinheim: Beltz, UTB.

    Google Scholar 

  • Peter, S., & Deimann, M. (2013). On the role of openness in education: A historical reconstruction. Open Praxis, 5(1), 7–14.

    Article  Google Scholar 

  • Richards, L. (1999). Using NVivo in qualitative research. Sage.

  • Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1), 3–10.

    Google Scholar 

  • Smith, A. E., & Humphreys, M. S. (2006). Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping. Behavior Research Methods, 38(2), 262–279.

    Article  Google Scholar 

  • Watson, M., Smith, A., & Watter, S. (2005, January). Leximancer concept mapping of patient case studies. In: Knowledge-based intelligent information and engineering systems (pp. 1232–1238). Springer Berlin Heidelberg.

    Chapter  Google Scholar 

  • Yousef, A. M. F., Chatti, M. A., Schroeder, U., Wosnitza, M., & Jakobs, H. (2014a). MOOCs — A Review of the State-of-the-Art. In Proc. CSEDU 2074 conference, Vol. 3, pp. 9–20. INSTICC, 2014.

    Google Scholar 

  • Yousef, A. M. F., Chatti, M. A., Schroeder, U., & Wosnitza, M. (2014b). What Drives a Successful MOOC? An Empirical Examination of Criteria to Assure Design Quality of MOOCs. In: Advanced Learning Technologies (ICALT), 2074 IEEE 74th International Conference on (pp. 44–48). IEEE.

  • Yousef, A. M. F., Chatti, M. A., & Schroeder, U. (2014c). Video-Based Learning: A Critical Analysis of The Research Published in 2003–2013 and Future Visions. In: eLmL 2074, The Sixth International Conference on Mobile, Hybrid, and On-line Learning (pp. 112–119).

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Correspondence to Ahmed Mohamed Fahmy Yousef.

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Yousef, A.M.F., Chatti, M.A., Wosnitza, M. et al. A Cluster Analysis of MOOC Stakeholder Perspectives. Int J Educ Technol High Educ 12, 74–90 (2015). https://doi.org/10.7238/rusc.v12i1.2253

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