Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Dettagli Bibliografici
Autori principali:	Anough, Ahmed Saquif Alam, Hossain, Md. Tahmid, Karim, Kazi Ruzlan, Faruk, Umar
Altri autori:	Arif, Hossain
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2019
Soggetti:	Temporally coherent clustering Exam performance prediction Result prediction Knowledge level determination Cluster analysis > Data processing Machine learning
Accesso online:	http://hdl.handle.net/10361/12816

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