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Direct linkHussain, Sadiq; Gaftandzhieva, Silvia; Maniruzzaman, Md.; Doneva, Rositsa; Muhsin, Zahraa Fadhil – Education and Information Technologies, 2021
Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…
Descriptors: Regression (Statistics), Academic Achievement, Learning Analytics, Models
Gaftandzhieva, Silvia; Docheva, Mariya; Doneva, Rositsa – Education and Information Technologies, 2021
Many educational institutions use a large number of information systems to automate their activities for different stakeholders' groups -- learning management systems, student diary, library system, digital repositories, management system, etc. This leads to a significant increase in the volume and variety of data that can be captured, stored, and…
Descriptors: Foreign Countries, Learning Analytics, Secondary Education, Stakeholders
