Identifying the Dependency Outline of Students’ Attendance in Tertiary Level using Markov Chain and Logistic Regression Model
Sayma Suraiya1, Gouranga Chandra Debnath2, Sayedul Anam3

1Sayma Suraiya, Department of General Educational Development, Daffodil International University, Dhaka, Bangladesh.
2Gouranga Chandra Debnath, PhD*, Department of Business Administration, Daffodil International University, Dhaka, Bangladesh. Email:
3Sayedul Anam, PhD, Department of General Educational Development, Daffodil International University, Dhaka, Bangladesh .

Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 644-647 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5334029320/2020©BEIESP | DOI: 10.35940/ijeat.C5334.029320
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Abstract: The schooling of tertiary level is a source of culture for any nation and this issue has always been a major public concern. The success of this level depends on various issues that can influence the students to gather knowledge. Among them, class participation is vital for understanding the course contents. The education system of Bangladesh is almost sound and well-organized in all levels including tertiary stage. Even so sometimes, students are unwilling to attend in the classroom for a number of reasons. In this study, we measured how previous absence of a student impact on their further absence. Markov Chain is a mathematical tool that identified the chance of previous absence effect on the recent absent. In another methods, logistic regression showed the dependency of today’s absence on previous absence. In this work, we got, the previous day absence influenced the student to continue his/her absent on the current day. Therefore, students’ continuous class participation is important and any sorts of discontinuity makes a barrier to participate in the next class.
Keywords: Tertiary level of education, Students’ attendance, Markov chain model, Logistic regression.