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.

Bibliografiska uppgifter
Huvudupphovsmän:	Anough, Ahmed Saquif Alam, Hossain, Md. Tahmid, Karim, Kazi Ruzlan, Faruk, Umar
Övriga upphovsmän:	Arif, Hossain
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2019
Ämnen:	Temporally coherent clustering Exam performance prediction Result prediction Knowledge level determination Cluster analysis > Data processing Machine learning
Länkar:	http://hdl.handle.net/10361/12816

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