Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Balqis Albreiki"'
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 20, Iss 1, Pp 1-22 (2023)
Abstract Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none
Externí odkaz:
https://doaj.org/article/75149ce9745d4b8dae95cfb10cc72810
Autor:
Balqis Albreiki
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 19, Iss 1, Pp 1-26 (2022)
Abstract Higher education institutions often struggle with increased dropout rates, academic underachievement, and delayed graduations. One way in which these challenges can potentially be addressed is by better leveraging the student data stored in
Externí odkaz:
https://doaj.org/article/866867f26ab8436fb4f40cff6a6f79ba
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 19, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/d0de39c7590c4157b163ad455411bf9b
Publikováno v:
Big Data and Cognitive Computing, Vol 5, Iss 4, p 71 (2021)
Detecting at-risk students provides advanced benefits for improving student retention rates, effective enrollment management, alumni engagement, targeted marketing improvement, and institutional effectiveness advancement. One of the success factors o
Externí odkaz:
https://doaj.org/article/977159f794e34d388c257f2dd7745ad9
Publikováno v:
Education Sciences, Vol 11, Iss 9, p 552 (2021)
Educational Data Mining plays a critical role in advancing the learning environment by contributing state-of-the-art methods, techniques, and applications. The recent development provides valuable tools for understanding the student learning environm
Externí odkaz:
https://doaj.org/article/2884f779cc1646d49e6ba416c3095aa5
Publikováno v:
Big Data and Cognitive Computing, Vol 5, Iss 71, p 71 (2021)
Big Data and Cognitive Computing; Volume 5; Issue 4; Pages: 71
Big Data and Cognitive Computing; Volume 5; Issue 4; Pages: 71
Detecting at-risk students provides advanced benefits for improving student retention rates, effective enrollment management, alumni engagement, targeted marketing improvement, and institutional effectiveness advancement. One of the success factors o