OJUAWO, Olutayo and AROWOLO, PAUL (2018) ENHANCEMENT OF STUDENT ATTENDANCE MONITORING THROUGH A MOBILE APPLICATION. In: ASUP National Conference on “Technological Education as a Panacea for Socio-Economic Challenges in Nigeria.”Yaba College of Technology, Lagos State., 2018, Yaba College of Technology, Lagos State..
![[img]](https://eprints.federalpolyilaro.edu.ng/style/images/fileicons/text.png) |
Text
Full+Paper+ATTENDANCE+MONITORING 2018(1).pdf Download (1MB) |
Abstract
From ages past, managing the attendance using a traditional approach is really a cumbersome process. Marking or taking of attendance has been one of the best ways to keep records and tracks of students in schools, colleges, and the likes. The most widely known method of taking students attendance in higher institutions today is the manual method in which students put down their names and matriculation numbers on a sheet of paper and at the end of each lecture, the lecturer calls the students names or student’s identification number (matriculation number). The case study for this research, The Federal Polytechnic Ilaro, operates on the manual way of taking students’ attendance. This old system requires students to put down their names and matriculation numbers on a sheet of paper at every lecture. These papers are then submitted to the lecturer in charge on a weekly basis. It was observed that most lecturers do misplace the attendance list submitted by the students. The main aim of this paper is to develop a mobile-based application to reduce the time spent on manual operations, curb loosing of attendance records and curb manipulation of attendance records. This system is designed only to be operated or used by the lecturer (user), the system will accept input of course data such as course code and course title, also accept student data like student name and student matriculation number. We also sampled the lecturers' opinion, via administering the questionnaire, on the existing way taking attendance in class and the new system to be developed. Furthermore, we utilized SPSS to analyze the questionnaire.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mr Taiwo Egbeyemi |
| Date Deposited: | 10 Jun 2020 13:35 |
| Last Modified: | 10 Jun 2020 13:35 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/491 |
Actions (login required)
 |
View Item |
