Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lotfi NAJDI"'
Publikováno v:
Education and Information Technologies. 27:1993-2011
Forecasting the enrollments of new students in bachelor’s systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course’s accreditati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4a0017ae16912c612f7d33f7f349cbb
https://doi.org/10.1007/s10639-021-10684-z
https://doi.org/10.1007/s10639-021-10684-z
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88aa86a67c161ce4145104f8faddebb6
https://doi.org/10.1007/978-3-030-90639-9_17
https://doi.org/10.1007/978-3-030-90639-9_17
Autor:
Lotfi NAJDI, ER-RAHA Brahim
Publikováno v:
International Journal of Information Science and Technology, Vol 1, Iss 1, Pp 4-10 (2018)
The analysis of graduate students’ profiles based on theirs educational outcomes is essential for higher education institutions in order to adapt educational strategies and improve academic achievements. In this paper we present the capabilities of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::847d633eb5313f7a31bfb39066433ef8
https://www.innove.org/ijist/index.php/ijist/article/view/7
https://www.innove.org/ijist/index.php/ijist/article/view/7
Autor:
Lotfi Najdi, Brahim Er-Raha
Publikováno v:
International Journal of Computer Applications. 156:25-30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef69335184f607698c9582d799819778
https://doi.org/10.5120/ijca2016912482
https://doi.org/10.5120/ijca2016912482
Autor:
Lotfi Najdi, Brahim Er-Raha
Publikováno v:
CIST
The identification of students' typologies plays interesting role in adapting educational strategies and improving academic performances. In this work, we show how unsupervised learning techniques can be applied to educational data for the extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030ac856e270498a56041b6905cc7ab7
https://doi.org/10.1109/cist.2016.7804852
https://doi.org/10.1109/cist.2016.7804852