Research Article
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The complex adaptive blended learning system: A systematic review

Year 2024, Volume: 1 Issue: 1, 18 - 29, 30.12.2024

Abstract

The complex adaptive blended learning system (CABLS) is an open system that optimizes the learning process by interacting in a non-linear and dynamic manner. This system consists of six subsystems: learner, teacher, technology, content, learning support, and institution. The purpose of this study was to systematically review studies conducted within the framework of the complex adaptive blended learning system between the years 2015 and 2023. Thus, selected studies regarding explicit inclusion and exclusion criteria, were analysed in terms of the year, type, subject areas, level of education, research methods, countries, and trends. The systematic review results identified 10 pieces of research studies that defined and described on CABLS. The studies were published mainly in 2022. Eight studies focused on education, two on health sciences, covering K-12 and higher education. Qualitative methods were prevalent, and research was global, with contributions from India, Indonesia, Malaysia, Pakistan, the UK, and the US, with the US leading in the number of studies. The results of this study may serve as a guide for future studies.

References

  • Arfanakis, A. K. (2022). Variations in perspectives of blendedn learning in a predominantly face-to-face clasroom: the lived experience of high school science teachers. Unpublished doctoral dissertation. University of Massachusetts Lowell.
  • Carmichael, T., Hadžikadić, M. (2019). The fundamentals of complex adaptive systems. In Carmichael, T., Collins, A., Hadžikadić, M. (Eds) Complex adaptive systems. understanding complex systems. Springer, Cham. https://doi.org/10.1007/978-3-030-20309-2_1
  • Cleveland-Innes, M.,&Wilton, D. (2018).Guide to blended learning. Commonwealth of Learning.
  • Cummings, S. (2022). Elementary teacher perceptions of blended learning in the digital classroom. Unpublished doctoral dissertation.Walden University.
  • Duarte, A. (2016). Blended learning: Institutional frameworks for adoption and implementation. Unpublished doctoral dissertation. University of the Incarnate World.
  • Evenhouse, D., Patel, N., Gerschutz, M., Stites, N. A., Rhoads, J. F., & Berger, E. (2018). Perspectives on pedagogical change: Instructor and student experiences of a newly implemented undergraduate engineering dynamics curriculum. European Journal of Engineering Education, 43(5), 664-678.
  • Fraenkel, R. J.,& Wallen, E. N. (2000). How to design and evaluate research in education (4th ed.). McGraw-Hill.
  • Giwa, K. A. (2022). Investigating the use of information communication technology (ICT) for pedagogic change in mathematics and science (physics and chemistry) teaching/learning in Nigerian higher education institutions (HEIs). Unpublished doctoral dissertation. University of Liverpool.
  • Gough, D., Oliver, S., & Thomas, J. (2017). An introduction to systematic reviews (2nd ed.). Sage.
  • Gulosino, C., & Miron, G. (2017). Growth and performance of fully online and blended K-12 public schools. Education Policy Analysis Archives, 25 (124). https://doi.org/10.14507/epaa.25.2859
  • Juhl, C., & Lund, H. (2018). Do we really need another systematic review? British Journal of Sports Medicine (BJSM), 52(22), 1408-9. http://dx.doi.org/10.1136/bjsports-2018-099832
  • Kelly, D., & Denson, C. (2017). STEM teacher efficacy in flipped classrooms. Journal of STEM Education: Innovations & Research, 18(4), 43-50.
  • Keiner, J. F. (2017). Pedagogy and process: a case study of writing in a hybrid learning model. Unpublished doctoral dissertation. Indiana University of Pennsylvania, School of Graduate Studies and Research Department.
  • Mathur, B., & Shukla, N. M. (2021). Blended learning understanding its frameworks and models. Cosmos An International Journal of Art & Higher Education, 10(2), 115-121.
  • Mcgee, E., & Poojary, P. (2020). Exploring blended learning relationship in higher education using a systems- based framework. Turkish Online Journal of Distance Education-TOJDE 21(4), 2-13.
  • Rafi A, Anwar MI, Younas A and Manzoor S. Paradigm shift in medical education due to the COVID-19 pandemic: guidelines for developing a blended learning curriculum in medical education [version 2; peer review: 2 approved]. F1000Research 2022, 11:37 (https://doi.org/10.12688/f1000research.74779.2)
  • Sudrajat, D., Danar, D. R., Rahaningsih, N., Dikananda, A. R., & Kurnia, D. A. (2019). Clustering student's satisfaction in complex adaptive blended learning with the six value system using the k-means algorithm. Universal Journal of Educational Research, 7(9),1990-1995.
  • Wang, Y., Han, X., & Yang, J. (2015). Revisiting the blended learning literature: using a complex adaptive systems framework. Educational Technology & Society, 18(2), 380-393.
  • Yeop, M. A., Wong, K. T., & Noh, N. M. (2016). Blended learning in selected journals: a content analysis. International Journal of Instructional Technology and Distance Learning, 13(10), 47-58.
Year 2024, Volume: 1 Issue: 1, 18 - 29, 30.12.2024

Abstract

References

  • Arfanakis, A. K. (2022). Variations in perspectives of blendedn learning in a predominantly face-to-face clasroom: the lived experience of high school science teachers. Unpublished doctoral dissertation. University of Massachusetts Lowell.
  • Carmichael, T., Hadžikadić, M. (2019). The fundamentals of complex adaptive systems. In Carmichael, T., Collins, A., Hadžikadić, M. (Eds) Complex adaptive systems. understanding complex systems. Springer, Cham. https://doi.org/10.1007/978-3-030-20309-2_1
  • Cleveland-Innes, M.,&Wilton, D. (2018).Guide to blended learning. Commonwealth of Learning.
  • Cummings, S. (2022). Elementary teacher perceptions of blended learning in the digital classroom. Unpublished doctoral dissertation.Walden University.
  • Duarte, A. (2016). Blended learning: Institutional frameworks for adoption and implementation. Unpublished doctoral dissertation. University of the Incarnate World.
  • Evenhouse, D., Patel, N., Gerschutz, M., Stites, N. A., Rhoads, J. F., & Berger, E. (2018). Perspectives on pedagogical change: Instructor and student experiences of a newly implemented undergraduate engineering dynamics curriculum. European Journal of Engineering Education, 43(5), 664-678.
  • Fraenkel, R. J.,& Wallen, E. N. (2000). How to design and evaluate research in education (4th ed.). McGraw-Hill.
  • Giwa, K. A. (2022). Investigating the use of information communication technology (ICT) for pedagogic change in mathematics and science (physics and chemistry) teaching/learning in Nigerian higher education institutions (HEIs). Unpublished doctoral dissertation. University of Liverpool.
  • Gough, D., Oliver, S., & Thomas, J. (2017). An introduction to systematic reviews (2nd ed.). Sage.
  • Gulosino, C., & Miron, G. (2017). Growth and performance of fully online and blended K-12 public schools. Education Policy Analysis Archives, 25 (124). https://doi.org/10.14507/epaa.25.2859
  • Juhl, C., & Lund, H. (2018). Do we really need another systematic review? British Journal of Sports Medicine (BJSM), 52(22), 1408-9. http://dx.doi.org/10.1136/bjsports-2018-099832
  • Kelly, D., & Denson, C. (2017). STEM teacher efficacy in flipped classrooms. Journal of STEM Education: Innovations & Research, 18(4), 43-50.
  • Keiner, J. F. (2017). Pedagogy and process: a case study of writing in a hybrid learning model. Unpublished doctoral dissertation. Indiana University of Pennsylvania, School of Graduate Studies and Research Department.
  • Mathur, B., & Shukla, N. M. (2021). Blended learning understanding its frameworks and models. Cosmos An International Journal of Art & Higher Education, 10(2), 115-121.
  • Mcgee, E., & Poojary, P. (2020). Exploring blended learning relationship in higher education using a systems- based framework. Turkish Online Journal of Distance Education-TOJDE 21(4), 2-13.
  • Rafi A, Anwar MI, Younas A and Manzoor S. Paradigm shift in medical education due to the COVID-19 pandemic: guidelines for developing a blended learning curriculum in medical education [version 2; peer review: 2 approved]. F1000Research 2022, 11:37 (https://doi.org/10.12688/f1000research.74779.2)
  • Sudrajat, D., Danar, D. R., Rahaningsih, N., Dikananda, A. R., & Kurnia, D. A. (2019). Clustering student's satisfaction in complex adaptive blended learning with the six value system using the k-means algorithm. Universal Journal of Educational Research, 7(9),1990-1995.
  • Wang, Y., Han, X., & Yang, J. (2015). Revisiting the blended learning literature: using a complex adaptive systems framework. Educational Technology & Society, 18(2), 380-393.
  • Yeop, M. A., Wong, K. T., & Noh, N. M. (2016). Blended learning in selected journals: a content analysis. International Journal of Instructional Technology and Distance Learning, 13(10), 47-58.
There are 19 citations in total.

Details

Primary Language English
Subjects Information Systems Philosophy, Research Methods and Theory
Journal Section Research Articles
Authors

İstek Aksak Kömür 0000-0002-9966-870X

Yusuf Levent Şahin 0000-0002-3261-9647

Muhammet Recep Okur 0000-0003-2639-4987

Publication Date December 30, 2024
Submission Date October 16, 2023
Acceptance Date November 17, 2023
Published in Issue Year 2024 Volume: 1 Issue: 1

Cite

APA Aksak Kömür, İ., Şahin, Y. L., & Okur, M. R. (2024). The complex adaptive blended learning system: A systematic review. Digital Security and Media, 1(1), 18-29.