Publication:
An artificial intelligence approach to monitor student performance and devise preventive measures

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dc.citedby6
dc.contributor.authorKhan I.en_US
dc.contributor.authorAhmad A.R.en_US
dc.contributor.authorJabeur N.en_US
dc.contributor.authorMahdi M.N.en_US
dc.contributor.authorid58061521900en_US
dc.contributor.authorid35589598800en_US
dc.contributor.authorid6505727698en_US
dc.contributor.authorid56727803900en_US
dc.date.accessioned2023-05-29T09:05:24Z
dc.date.available2023-05-29T09:05:24Z
dc.date.issued2021
dc.description.abstractA major problem an instructor experiences is the systematic monitoring of students� academic progress in a course. The moment the students, with unsatisfactory academic progress, are identified the instructor can take measures to offer additional support to the struggling students. The fact is that the modern-day educational institutes tend to collect enormous amount of data concerning their students from various sources, however, the institutes are craving novel procedures to utilize the data to magnify their prestige and improve the education quality. This research evaluates the effectiveness of machine learning algorithms to monitor students� academic progress and informs the instructor about the students at the risk of ending up with unsatisfactory result in a course. In addition, the prediction model is transformed into a clear shape to make it easy for the instructor to prepare the necessary precautionary procedures. We developed a set of prediction models with distinct machine learning algorithms. Decision tree triumph over other models and thus is further transformed into easily explicable format. The final output of the research turns into a set of supportive measures to carefully monitor students� performance from the very start of the course and a set of preventive measures to offer additional attention to the struggling students. � 2021, The Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo17
dc.identifier.doi10.1186/s40561-021-00161-y
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85114501475
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85114501475&doi=10.1186%2fs40561-021-00161-y&partnerID=40&md5=c57ce71f62d6094a3bfd9f3196600e0b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25881
dc.identifier.volume8
dc.publisherSpringeren_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleSmart Learning Environments
dc.titleAn artificial intelligence approach to monitor student performance and devise preventive measuresen_US
dc.typeArticleen_US
dspace.entity.typePublication
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