Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahmed Ali Mubarak"'
Publikováno v:
Interactive Learning Environments. :1-16
In this study, we propose a MOOC Analytic Statistical Visual model (MOOC-ASV) to explore students’ engagement in MOOC courses and predict their performance on the basis of their behaviors logged as...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9477f2f28da261e98869c3c4b563c164
https://doi.org/10.1080/10494820.2021.1916768
https://doi.org/10.1080/10494820.2021.1916768
Publikováno v:
Computer Applications in Engineering Education. 29:710-732
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4064815a0bab0aab13970b4127658df
https://doi.org/10.1002/cae.22328
https://doi.org/10.1002/cae.22328
Prediction of students’ early dropout based on their interaction logs in online learning environment
Publikováno v:
Interactive Learning Environments. 30:1414-1433
Online learning has become more popular in higher education since it adds convenience and flexibility to students’ schedule. But, it has faced difficulties in the retention of the continuity of stu...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4a1b4c250cd2f344196055bc0ab9254
https://doi.org/10.1080/10494820.2020.1727529
https://doi.org/10.1080/10494820.2020.1727529
Publikováno v:
Computers & Electrical Engineering. 93:107271
Predicting students' performance is critical in Massive Open Online Courses (MOOCs) in order to benefit from many aspects such as students' retention and make timely interventions. In this paper, we propose a hyper-model of Convolutional Neural Netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d8150968b69ff10255efccb84d557c
https://doi.org/10.1016/j.compeleceng.2021.107271
https://doi.org/10.1016/j.compeleceng.2021.107271