Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques

Technology and innovation empower higher educational institutions (HEI) to use different types of learning systems—video learning is one such system. Analyzing the footprints left behind from these online interactions is useful for understanding the effectiveness of this kind of learning. Video-base...

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Vydané v:	Applied sciences Ročník 10; číslo 11; s. 3894
Hlavní autori:	Hasan, Raza, Palaniappan, Sellappan, Mahmood, Salman, Abbas, Ali, Sarker, Kamal Uddin, Sattar, Mian Usman
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2020
Predmet:	Academic achievement Analysis Artificial intelligence Blended learning classification algorithms Data mining data preprocessing data transformation Distance learning Educational technology Flipped classroom Forecasts and trends Higher education Learning management systems Literature reviews Malaysia Methods Online instruction Online tutorials Public speaking Researchers student academic performance Students Studies Success Teachers Technology application Universities and colleges video learning analytics Video tapes in education Malaysia
ISSN:	2076-3417, 2076-3417
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