The dataset used in this study was derived from data collected from two courses offered on the University of Jordan's E-learning Portal during the second semester of 2020, namely "Computer Skills for Humanities Students" (CSHS) and "Computer Skills for Medical Students" (CSMS). Over the sixteen-week duration of each course, students participated in various activities such as reading materials, video lectures, assignments, and quizzes. To preserve student privacy, the log activity of each student was anonymized.

DOI Link: 
10.21227/7tc4-5841
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[1] Hani ayyoub, Omar Al-Kadi, "Learning Style Identification", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/7tc4-5841. Accessed: Nov. 30, 2023.
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author = {Hani ayyoub; Omar Al-Kadi },
publisher = {IEEE Dataport},
title = {Learning Style Identification},
year = {2023} }
TY - DATA
T1 - Learning Style Identification
AU - Hani ayyoub; Omar Al-Kadi
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Hani ayyoub, Omar Al-Kadi. (2023). Learning Style Identification. IEEE Dataport. http://dx.doi.org/10.21227/7tc4-5841
Hani ayyoub, Omar Al-Kadi, 2023. Learning Style Identification. Available at: http://dx.doi.org/10.21227/7tc4-5841.
Hani ayyoub, Omar Al-Kadi. (2023). "Learning Style Identification." Web.
1. Hani ayyoub, Omar Al-Kadi. Learning Style Identification [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/7tc4-5841
Hani ayyoub, Omar Al-Kadi. "Learning Style Identification." doi: 10.21227/7tc4-5841