Journal of Technology and Information Education 2020, 12(1):5-18 | DOI: 10.5507/jtie.2020.007

DIVERSIFICATION OF STUDENTS BY SUCCESS PREDICTORS IN INFORMATION SCIENCE ORIENTED SPOC COURSES

Michal MRÁZEK, Jaromír BASLER
Univerzita Palackého v Olomouci, Česká republika

The present paper describes the results of a research study performed in the context of implementation of SPOC courses in Basics of programming and Information technology and information science as part of university training of future teachers of technical and informatics subjects. The aim of the research was to determine which groups of students could be identified by success predictors in the SPOC course. The design of the research was based on quantitative data collection and assessment methods. The survey was performed by means of a questionnaire designed by the authors and involving 44 respondents. The data obtained were analysed using multidimensional statistical data, especially the cluster analysis methods. The results suggested that the respondents could be classified by 11 predictors into two distinctive groups.

Keywords: teacher training, e-learning, small private online courses, success predictors

Received: September 17, 2019; Revised: March 22, 2020; Accepted: April 15, 2020; Prepublished online: May 4, 2020; Published: June 1, 2020  Show citation

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MRÁZEK, M., & BASLER, J. (2020). DIVERSIFICATION OF STUDENTS BY SUCCESS PREDICTORS IN INFORMATION SCIENCE ORIENTED SPOC COURSES. Journal of Technology and Information Education12(1), 5-18. doi: 10.5507/jtie.2020.007
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References

  1. Al-Sudani, S. & Palaniappan, R. (2019). Predicting students' final degree classification using an extended profile. Education and Information Technologies. 24. 2357-2369. DOI: 10.1007/s10639-019-09873-8 Go to original source...
  2. Boettcher, J. V. (2009). Designing online learning programs. In Rogers, P. I., Berg, G. A., Boettcher, J. V. & kol. Encyclopedia of distance learning, 2 vyd. Hershey, PA: Information Science Reference. DOI: 10.4018/978-1-60566-198-8.ch085 Go to original source...
  3. Brace, I. (2018). Questionnaire Design: How to Plan, Structure and Write Survey Material for Effective Market Research, London: Kogan Page.
  4. Coughlan, S. (24. září 2013). Harvard plans to boldly go with 'Spocs'. [vid. 7. Leden 2019]. BBC Business News. Dostupné z: https://www.bbc.com/news/business-24166247
  5. Cyrille, A. C. (2011). Looking for students' personal characteristics predicting study outcome. High Education. 61. 59-75. DOI: 10.1007/s10734-010-9325-7 Go to original source...
  6. Delgado Kloos, C., Muňoz-Merino, P.J., Muňoz -Organero, M., Alario-Hoyos, C., Pérez-Sanagustín, M. Parada H.A., Ruiperez, J.A. & Sanz, J.L. (2014). Experiences of Running MOOCs and SPOCs at UC3M. Proc. IEEE Global Engineering Education Conference (EDUCON). DOI:10.1109/EDUCON.2014.6826201 Go to original source...
  7. Dvořáková, M., Klisz, M., Neumeister, P., Opletalová, A., Stupková, V. & Techlová, P. (2008). Problematika finančních a jiných zdrojů nejen v sociální sféře. Olomouc: HANEX, 86 s.
  8. Emmons, S. R., Light, R. P. & Borner, K. (2017). MOOC Visual Analytics: Empowering Students, Teachers, Researchers, and Platform Developers of Massively Open Online Courses. Journal of the Association for Information Science and Technology. 68(10), 2350-2363. DOI: 10.1002/asi.23852 Go to original source...
  9. Guo, P. (2017). MOOC and SPOC, Which One is Better? EURASIA Journal of Mathematics Science and Technology Education. 13(8), 5961-5967. DOI: 10.12973/eurasia.2017.01044a Go to original source...
  10. Helus, Z., Hrabal, V., Kulič, V. & Mareš, J. (1979). Psychologie školní úspěšnosti žáka. Praha: SPN
  11. Chráska, M. (2016). Metody pedagogického výzkumu: základy kvantitativního výzkumu, Praha: Grada Publishing.
  12. Kaplan, A.M. & Haenlein, M. (2016). Higher education and the digital revolution: About MOOCs, SPOCs, social media, and the Cookie Monster. Business Horizons. 59(4), 441-450. DOI 10.1016/j.bushor.2016.03.008 Go to original source...
  13. Kerr, M. S., Rynearson, K. & Kerr, M. C. (2006). Student characteristics for online learning success. Internet and Higher Education. 6. 91-105. DOI: 10.1016/j.iheduc.2006.03.002 Go to original source...
  14. Klement, M. (2017). Teorie, styly a strategie učení(se) v e-learningu. Journal of Technology and Information Education. 9(1). 30-42. DOI: 10.5507/jtie.2016.014 Go to original source...
  15. Klement, M. & Dostál, J. (2018). Teorie, východiska, principy a roz.voj distančního
  16. vzdělávání realizovaného formou e-learningu. Olomouc: Univerzita Palackého v Olomouci.
  17. Klement, M., Chráska, M., Dostál, J. & Marešová, H. (2012). E-LEARNING: elektronické studijní opory a jejich hodnocení. Olomouc: GEVAK.
  18. Kurt, S. (18. května 2018). Fully and Partially Online Courses: Definitions. [vid. 15. ledna 2019] Educational Technology. Dostupné z: https://educationaltechnology.net/fully-and-partially-online-courses-definitions/
  19. Mareš, J. (2013). Pedagogická psychologie. Praha: Portál.
  20. Muňoz-Merino, P. J., Méndez Rodríguez, E., Kloos, C. D. & Ruipérez-Valiente, J. A. (2017). Design, Implementation and Evaluation of SPOCs at the Universidad Carlos III de Madrid. Journal of Universal Computer Science. 23(2), 167-186.
  21. Oremus, W. (18. září 2013). Forget MOOCs. Slate - Innovation, the Internet, Gadgets, and more. [vid. 8. dubna 2019]. Dostupné z: https://slate.com/technology/2013/09/spocs-small-private-online-classes-may-be-better-than-moocs.html
  22. Ozkan, S. & Koseler, R. (2009). Multi-dimensional evaluation of E-learning systems in the higher education context: An empirical investigation of a computer literacy course. In Proceedings - Frontiers in Education Conference. San Antonio: IEEE. DOI: 10.1109/FIE.2009.5350590 Go to original source...
  23. Perger, M. & Takács, I. (2016). Factors Contributing to Students' Academic Success Based on the Students' Opinion at BME Faculty of Economic and Social Sciences. Periodica Polytechnica Social and Management Sciences. 24(2). 119-135. DOI: 10.3311/PPso.8843 Go to original source...
  24. Porter, S. (2015). To MOOC or Not to MOOC: How can online learning help to build the future of higher education? Waltham, MA: Chandos publishing.
  25. Průcha, J., Walterová, E. & Mareš, J. (2008). Pedagogický slovník. 4.vyd. Praha: Portál.
  26. Rai, L., Chunrao, D. (2016). Influencing Factors of Success and Failure in MOOC and General Analysis of Learner Behavior. International Journal of Information and Education Technology. 6(4), DOI: 10.7763/IJIET.2016.V6.697 Go to original source...
  27. Stříteská, H. (10. ledna 2007). Historie e-learningu v České republice. [vid. 3. ledna 2011]. Dostupné z: http://www.fi.muni.cz/usr/jkucera/pv109/2003p/xstrites.htm.
  28. Uijil, S., Filius, R. & Cate, O. T. (2017). Student Interaction in Small Private Online Courses. Medical Science Educator. 27(2), 237-242. DOI: 10.1007/s40670-017-0380-x Go to original source...
  29. Urval, R. P. & kol. (2014). Assessment of learning styles of undergraduate medical students using the VARK questionnaire and the influence of sex and academic performance. Adv Physiol Educ. 38. 216-220. DOI: 10.1152/advan.00024.2014 Go to original source...
  30. Vellido, A., Castro, F. & Nebot, Á. (2011). Clustering educational data. In Romero, C. & kol. Handbook of Educational data mining. Boca Raton: CRC Press.
  31. Volery, T. & Lord, D. (2000). Critical success factors in online education. The international Journal of Educational Management. 14(5), 216-223. Go to original source...
  32. Zounek, J. a kol. (2016). E-learning: učení (se) s digitálními technologiemi. Praha: Wolters Kluwer.