VLE_learning_classification {ouladFormat} | R Documentation |
Transform Open University VLE activities to classifications under either the:
Filder-Selverman Learning Style Model (FSLM) mapped by Balti at al. (2023),
Felder–Silverman Learning Style Model (FSLSM) (see Felder & Silverman, 1988) mapped by Nazempour and Darabi (2023),
VARK Learning Style Model (see Fleming and Colleen, 1992) mapped by Balti at al. (2023), or
Corresponding to the Online Learning Style Characteristics (OLS) mapped by Yan et al. (2021) and drawing on Li and Yin (2017).
VLE_learning_classification(
activity_data,
classification = c("FSLM", "FSLSM", "OLS", "VARK")
)
activity_data |
VLE activity data set to be converted. |
classification |
classification system to be used to categorise the different VLE activities under. |
Returns the classification specified, the mapping for the VLE activities to each category in the specified learning model, and one tibble, VLE_classified_data.
A tibble where each row represents a unique student and their number of interactions with different categories of the specified learning model.
Balti, R., Hedhili, A., Chaari, W.L. & Abed, M. (2023). Hybrid analysis of the learner’s online behavior based on learning style. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11595-x
Felder, R. M., & Silverman, L. K. (1988). Learning and Teaching Styles in Engineering Education. Engineering Education, 78(7), 674–681. https://www.engr.ncsu.edu/wp-content/uploads/drive/1QP6kBI1iQmpQbTXL-08HSl0PwJ5BYnZW/1988-LS-plus-note.pdf
Fleming, N. D., & Mills, C. (1992). Not Another Inventory, Rather a Catalyst for Reflection. To Improve the Academy. 246. https://digitalcommons.unl.edu/podimproveacad/246
Kuzilek, J., Hlosta, M., & Zdrahal, Z. (2017). Open university learning analytics dataset. Scientific Data volume 4 , (pp. 1–8). https://doi.org/10.1038/sdata.2017.171.
Li, R., & Yin, C. (2017). Analysis of Online Learning Style Model Based on K-means Algorithm. Proceedings of the 3rd International Conference on Economics, Management, Law and Education (EMLE 2017). (pp. 692-697). Atlantis Press. https://doi.org/10.2991/emle-17.2017.148
Nazempour, R, & Darabi, H. (2023). Personalized Learning in Virtual Learning Environments Using Students’ Behavior Analysis. Education Sciences. 2023; 13(5), 457. https://doi.org/10.3390/educsci13050457
Yan, L., Yin, C., Chen, H., Rong, W., Xiong, Z., & David, B. (2021). Learning Resource Recommendation in E-Learning Systems Based on Online Learning Style. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, SY. (eds) Knowledge Science, Engineering and Management. KSEM 2021. Lecture Notes in Computer Science, 12817. Springer, Cham. https://doi.org/10.1007/978-3-030-82153-1_31
dataset_VLE_activity()
for obtaining the VLE data set needed for input data
VLE_data = dataset_VLE_activity(example_data = TRUE)$resource_data
VLE_learning_classification(VLE_data, classification = "FSLSM")