LEARNING ANALYTICS FOR PERSONAL LEARNING ENVIRONMENTS: DETERMINING JOURNAL PUBLICATION TRENDS
Year 2024,
Volume: 25 Issue: 3, 141 - 166, 01.07.2024
Damla Mustu Yaldiz
,
Saniye Kuleli
,
Ozlem Soydan Oktay
,
Nedime Selin Copgeven
,
Elif Akyol Emmungil
,
Yusuf Yildirim
,
Firat Sosuncu
,
Mehmet Firat
Abstract
The e-learning domain has witnessed a shift from the traditional behavioral approach to an individual- centered learning approach based on learning analytics, with the aim of creating personalized and learner- sensitive designs. A systematic literature review of 284 articles published between 2011 and 2022 in 133 different journals was conducted to investigate this trend. Bibliometric analyses were performed. The results of the analysis show that there is an increasing trend towards the implementation of learning analytics and the use of these analytics for personalized learning environments. The results also show that the output levels of learning analytics have progressed from description and diagnosis to prediction and perspective building. This has the potential to improve the fields of learning analytics and personal learning environments.
References
- Ahmad, A., Schneider, J., Griffiths, D., Biedermann, D., Schiffner, D., Greller, W., & Drachsler, H. (2022).
Connecting the dots–A literature review on learning analytics indicators from a learning design
perspective. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12716
- Altun, A. (2012). Ontologies for personalization: a new challenge for instructional designers. Procedia—
Social and Behavioral Sciences, 64 (9), 691–698. https://doi.org/10.1016/j.sbspro.2012.11.081
- Amarasinghe, I., Michos, K., Crespi, F., & Hernandez‐Leo, D. (2022). Learning analytics support to teachers’
design and orchestrating tasks. Journal of Computer Assisted Learning. https://doi.org/10.1111/
jcal.12711
- BartolomÃ, A., & Cebrian-de-la-Serna, M. (2017). Personal learning environments: a study among Higher
Education students’ designs. International Journal of Education and Development using ICT, 13(2),
21-41.
- Blumenstein, M. (2020). Synergies of Learning Analytics and Learning Design: A Systematic Review
of Student Outcomes. Journal of Learning Analytics, 7(3), 13-32. https://doi.org/10.18608/
jla.2020.73.3
Year 2024,
Volume: 25 Issue: 3, 141 - 166, 01.07.2024
Damla Mustu Yaldiz
,
Saniye Kuleli
,
Ozlem Soydan Oktay
,
Nedime Selin Copgeven
,
Elif Akyol Emmungil
,
Yusuf Yildirim
,
Firat Sosuncu
,
Mehmet Firat
References
- Ahmad, A., Schneider, J., Griffiths, D., Biedermann, D., Schiffner, D., Greller, W., & Drachsler, H. (2022).
Connecting the dots–A literature review on learning analytics indicators from a learning design
perspective. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12716
- Altun, A. (2012). Ontologies for personalization: a new challenge for instructional designers. Procedia—
Social and Behavioral Sciences, 64 (9), 691–698. https://doi.org/10.1016/j.sbspro.2012.11.081
- Amarasinghe, I., Michos, K., Crespi, F., & Hernandez‐Leo, D. (2022). Learning analytics support to teachers’
design and orchestrating tasks. Journal of Computer Assisted Learning. https://doi.org/10.1111/
jcal.12711
- BartolomÃ, A., & Cebrian-de-la-Serna, M. (2017). Personal learning environments: a study among Higher
Education students’ designs. International Journal of Education and Development using ICT, 13(2),
21-41.
- Blumenstein, M. (2020). Synergies of Learning Analytics and Learning Design: A Systematic Review
of Student Outcomes. Journal of Learning Analytics, 7(3), 13-32. https://doi.org/10.18608/
jla.2020.73.3