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A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours

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Digital Interaction and Machine Intelligence (MIDI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1376))

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Abstract

The aim of this research is to examine the relation between the log data obtained from the learning platform prepared within the scope of this study and the learning approaches of the students. For this purpose, the actions of the students in the online learning platform were kept in the database tables, and the learning approach of the students was determined by the Study Process Questionnaire. The relationship between the log data and the characteristics observed in the Study Process Questionnaire of the students were examined. 61 3rd year students enrolled in face-to-face Internet Based Programming course in Department of Computer Education and Instructional Technologies (CEIT) of Yildiz Technical University participated in the study in the fall semester of the 2016–2017 academic year. The students used online learning environment prepared within the scope of the study for accessing the materials and taking notes.

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References

  1. Akcapinar, G.: Predicting students’ approaches to learning based on moodle logs. In: Proceedings of EDULEARN16 Conference pp. 2347–2352 (2016)

    Google Scholar 

  2. Allen, I.E., Seaman, J.: Going the distance: online education in the united states. Sloan Consortium pp. 4–11 (2011)

    Google Scholar 

  3. Bienkowski, M., Feng, M., Means, B.: Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief, pp. 1–57. US Department of Education, Office of Educational Technology, Washington, DC, USA (2012)

    Google Scholar 

  4. Biggs, J.: Student approaches to learning and studying. Research Monograph pp. 140–141 (1987)

    Google Scholar 

  5. Biggs, J., Kember, D., Leung, D.: The revised two-factor study process questionnaire: R-spq-2f. Br. J. Educ. Psychol. 71(1), 133–149 (2001)

    Article  Google Scholar 

  6. Booth, M.: Learning analytics: the new black (2016), http://www.educause.edu/ero/article/learning-analytics-new-black. [Online; Accessed 15 March 2016]

  7. Cagiltay, K., Goktas, Y., Schroeder, L., Thüs, H.: Öğretim teknolojilerinin temelleri: Teoriler, araştırmalar, eğilimler 34, 567–581 (2013)

    Google Scholar 

  8. Chatti, M.A., Dyckhoff, A.L., Schroeder, L., Thüs, H.: a reference model for learning analytics

    Google Scholar 

  9. Entwistle, N.: Promoting deep learning through teaching and assessment: conceptual frameworks and educational contexts. TLRP conference pp. 6–8 (2000)

    Google Scholar 

  10. Entwistle, N., McCune, V.: The conceptual bases of study strategy inventories. Educ. Psychol. Rev. 16(4), 325–345 (2004)

    Article  Google Scholar 

  11. Erdogdu, F., Sahin, S.: Yükseköğretimde her yerde öğrenmenin akademik başarı ve motivasyona etkisi. Int. J. Informat. Technol. 9(3), (2016)

    Google Scholar 

  12. Herrenkohl, L.R., Tasker, T., White, B.: Pedagogical practices to support classroom cultures of scientific inquiry. Cognition Instruct. 29(1), 1–44 (2011)

    Article  Google Scholar 

  13. Holmes, B., Gardner, J.: E-learning: Concepts and practice pp. 1–44 (2006)

    Google Scholar 

  14. Johnson, J., Adams, S., Cummins, M., Estrada, V., Freeman, A., Ludgate, H.: The nmc horizon report: 2013 higher education edition (2013)

    Google Scholar 

  15. Joshi, A., Desai, P., Tewari, P.: Learning analytics framework for measuring students’ performance and teachers’ involvement through problem based learning in engineering education. Procedia Comput. Sci. (2020)

    Google Scholar 

  16. Kember, D., Leung, Y.: The dimensionality of approaches to learning: an investigation with confirmatory factor analysis on the structure of the spq and lpq. British J. Educ. Psychol. 68(3), 395–407 (1998)

    Article  Google Scholar 

  17. Ülker, D.: Grade prediction improved by regular and maximal association rules. Master Thesis, Marmara University pp. 2–5 (2015)

    Google Scholar 

  18. Marton, F., Säljö, R.: On qualitative differences in learning: I-outcome and process. British J. Educ. Psychol. 46(1), 4–11 (1976)

    Article  Google Scholar 

  19. Mayer-Schönberger, V., Cukier, K.: Learning with big data: fhe future of education. Houghton Mifflin Harcourt (2014)

    Google Scholar 

  20. Mazza, R., Dimitrova, V.: Visualising student tracking data to support instructors in web-based distance education. In: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters pp. 154–161 (2014)

    Google Scholar 

  21. Montenegro, C.E., Cueva, J.M., Sanjuán, O., Gaona, P.A.: Modeling and comparison study of modules in open source lms platforms with cmaptools. Int. J. Interact. Multimedia Artificial Intell. 1(3), 38–47 (2010)

    Google Scholar 

  22. Morrison, D.: Using activity theory to design constructivist online learning environments for higher order thinking: a retrospective analysis. Canadian J. Learn. Technol./La revue Canadienne de l’apprentissage et de la technologie 29(3) (2003)

    Google Scholar 

  23. Ozkul, A.: E-learning and engineering education. In: Paper Presented at the Meeting of the First National Symposium on Electric, Electronic, Computer Engineering Education (2003)

    Google Scholar 

  24. Pala, F.K., Erdem, M.: Öğrenci yönetimli çevrimiçi tartışmalara katılımın yönetme sorumluluğu ve öğrenme stilleri açısından incelenmesi. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi 41, 360–371 (2011)

    Google Scholar 

  25. Pardo, A.: Identifying learning strategies associated with active use of video annotation software. In: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge pp. 255–259 (2015)

    Google Scholar 

  26. Prosser, M., Trigwell, K.: Understanding learning and teaching: the experience in higher education. McGraw-Hill Education (UK) pp. 90–93 (1993)

    Google Scholar 

  27. Romero, C., Ventura, S.: Data mining in education. Wiley Interdis. Rev. Data mining Knowl. Discov. 3(1) (2013)

    Google Scholar 

  28. Ruipérez-Valiente, J.A., Halawa, S., Slama, R., Reich, J.: Using multi-platform learning analytics to compare regional and global mooc learning in the Arab world. Comput. Educ. (2020)

    Google Scholar 

  29. Siemens, G., Long, P.: Penetrating the fog: analytics in learning and education. Educ. Rev. 46(5), (2011)

    Google Scholar 

  30. Tempelaar, D.T., Rienties, B., Giesbers, B.: In search for the most informative data for feedback generation: Learning analytics in a data-rich context. Comput. Hum. Beh. 47, 157–167 (2015)

    Article  Google Scholar 

  31. Udristoiu, A.L., Udristoiu, S.: Grade prediction improved by regular and maximal association rules. Int. J. Intell. Syst. Appl. Eng. 3 (2015)

    Google Scholar 

  32. Watkins, R.: Developing interactive e-learning activities. Perf. Improve. 44, 5–7 (2005)

    Article  Google Scholar 

  33. West, D.M.: Big data for education: data mining, data analytics, and web dashboards. Governance Studies at Brookings pp. 1–10 (2012)

    Google Scholar 

  34. Yılmaz, M.B., Orhan, F.: Ders çalışma yaklaşımı ölçeği’nin türkçe formunun geçerlik ve güvenirlik çalışması. Eğitim ve Bilim p. 159 (2011)

    Google Scholar 

  35. Özdemir, M., Yıldız, R.: Farklı öğrenme stillerine sahip öğrencilerin çevrimiçi öğrenme nesnelerine yönelik tercihleri. Eğitim Teknolojisi Kuram ve Uygulama 6(2), (2016)

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of North Carolina Wilmington, North Carolina, NC, 28403, USA

    Gulustan Dogan

  2. Yildiz Technical University, Istanbul, 34220, Turkey

    Seydi Alkan

  3. Yeditepe University, Istanbul, 34755, Turkey

    Alper Bayazit

  4. The Graduate Center CUNY, New York, NY, 10016, USA

    Gözde M. Demirci

Authors
  1. Gulustan Dogan
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  2. Seydi Alkan
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  3. Alper Bayazit
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  4. Gözde M. Demirci
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Corresponding author

Correspondence to Gulustan Dogan .

Editor information

Editors and Affiliations

  1. National Research Institute, National Information Processing Institute, Warsaw, Poland

    Cezary Biele

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Jan W. Owsiński

  4. Institute of Applied Computer Science, Łódż University of Technology, Łódź, Poland

    Andrzej Romanowski

  5. Faculty of Management and Economics, Gdańsk University of Technology, Gdańsk, Poland

    Marcin Sikorski

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Dogan, G., Alkan, S., Bayazit, A., Demirci, G.M. (2021). A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours. In: Biele, C., Kacprzyk, J., Owsiński, J.W., Romanowski, A., Sikorski, M. (eds) Digital Interaction and Machine Intelligence. MIDI 2020. Advances in Intelligent Systems and Computing, vol 1376. Springer, Cham. https://doi.org/10.1007/978-3-030-74728-2_13

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