Open AccessANALYSIS OF STUDENTS’ ACADEMIC PERFORMANCE AND PROGRESSION (USING MARKOV CHAIN APPROACH)
Author(s) -
Murtala Adam Muhammad,
Jamilu Yunusa Falgore,
Usman Hashim Sani
Publication year - 2019
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2019.v04i07.031
Subject(s) - markov chain , mathematics education , computer science , psychology , machine learning
This paper studies the pattern of students’ enrolment and their academic performance in the department of Statistics Ahmadu Bello University, Zaria. In this paper, a stochastic model for estimation was developed; the study programme was modeled by a finite Markov chain with 4 transient and two absorbing states. The probability transition matrix was constructed. The students’ progression towards the next stage of the study programme was estimated, the expected time that a student spends at a particular stage as well as the expected duration of the study is determined. The probation, withdrawal and graduation probabilities were also obtained. The data was analyzed using RSoftware. Keywords— Enrolment, Markov Chain, Fundamental matrix, Probability of absorption and Study Programme