Skip to main content


Learning Styles-Based Adaptive Online Learning Environment and How it Affects Students' Participation

Issue Abstract

Abstract
Designing suitable adaptable e-learning environments helps to personalise training to reinforce learning goals since adaptive e-learning is seen as stimulus to enhance learning and improve student engagement. This work aims to investigate how students' involvement is affected by an adaptable e-learning environment that is designed according to their learning styles. Additionally, this study aims to describe and contrast the suggested adaptive e-learning environment with a traditional e- learning methodology. The following combined research approaches were utilised to examine the impact and form the basis of the paper: The adaptive e-learning environment is designed using a development approach, and the research experiment is carried out using a quasi- experimental research design. The following behavioural and affective components of engagement are measured by the student engagement scale: skills, performance, emotions, participation/interaction, and skills.


Author Information
A.Noor Nisha
Issue No
7
Volume No
4
Issue Publish Date
05 Jul 2024
Issue Pages
1-9

Issue References

References

[1] B. H. Khan (2016). What is web-based instruction (WBI) and why is it used? Web-based training, B. H. Khan (Ed.), pp. 5-18. Publications for Educational Technology, Englewood Cliffs, New Jersey. Brusilovsky (2016) cited in
[2]. approaches and strategies used in adaptive hypermedia. 6(2-3): 87-129 in User Modelling and User Adapted Interaction.P. Brusilovsky (2017) (2017)
[3]. Hypermedia that adapts. 11, 87-110. User Modelling and User Adapted Interaction.Sohn, B. (2017)
[4]. Primary and secondary education in Korea and e-learning. 2(3), 6-9. KERIS Korea Education & Research Information Service.
[5] Jones, M. G., & Gilbert (2018). Online education is e-normous. Perspectives on Electricity, 26(3), 66–82.
[6] B. H. Khan (2018). Managing e-learning includes planning, executing, assessing, and assessing again. Information Science Publishing, Hershey, Pennsylvania.
[7] Grant, A.; Lai, K.; Pratt, K. (2018). Review of the literature on the state of the art and current developments in open, flexible, and distant learning. University of Otago, Dunedin, New Zealand: School of Education.
[8] Polyson, S., & Saltzbert, S. (2018). Internet-based distance education. 9(1) Syllabus, 10–12.
[9] T. J. Miles-Board (2019). Everything worked together: an online platform for associative writing. Doctoral dissertation, University of Southampton, Southampton, not published.Kay, J. (2019)
[10] student authority. 11(1-2), 111-127; User Modelling and User Adapted Interaction.
[11] Oppermann, Rashev, & Kinshuk (July 14–16, 2020). The learning system's adaptability and adaptivity. Presentation given at Knowledge Transfer in London, United Kingdom.
[12] Magoulas, G. D., Kornilakis, H., & Papanikolaou, Grigoriadou, M. (2020). Customising user experience in an online learning hypermedia system: The INSPIRE example. 13(3), 213-267; User Modelling and User Adapted Interaction.Bennett, C. (2021).
[13] Individual variations and educators' perspectives on them. 70(2) The Social Studies, 56–61.
[14] W. B. James & W. E. Blank (2021). Examine and comment on the adult learning tools that are currently accessible. Using cognitive learning styles in D. Flannery (Ed.), pp. 47–58. Berkeley, CA: Jossey-Bass. McLoughlin, C. (2021).