Strengthening Of Students’ Class Attendance Using Biometric Authentication System To Enhance Delivery Of Competence-Based Quality Education

ANOLD NKATA

doi:10.59645/tji.v4i1.231

Authors

ANOLD NKATA ARUSHA TECHNICAL COLLEGE

DOI:

https://doi.org/10.59645/tji.v4i1.231

Keywords:

Biometric Class Attendance, Higher Learning Institutions, Students’ Class Attendance

Abstract

Delivery of competence-based quality education for students' academic achievements strongly correlates with effective student class attendance. In Tanzania, no student registered by the NACTVET is eligible for examination unless he/she has earned 75% of class attendance. In this regard, most education institutions use paper-based class attendance to manage students' class attendance. The system requires students to sign to his/her name as the class session is in progress. Despite this effort made by educational institutions still, the manual process of monitoring and tracking students’ class attendance remains challenging for module facilitators. This study examined the problem associated with the paper-based methods of monitoring and tracking students’ class attendance by collecting primary data using questionnaires from students of higher learning institutions in the Arusha Region. After the data analysis findings revealed that paper-based students’ class attendance has many drawbacks which include time-consuming and students’ signature impersonation. The paper-based class attendance facilitates dishonest students to forge the signatures of the absent students. To address these challenges, the study recommends education institutions implement cost-effective biometric class attendance such as fingerprints or facial recognition scanners, which can automatically monitor and keep students' attendance records on the database without interfering with the class session.

Downloads

Download data is not yet available.

References

Al Hajri, E., Hafeez, F., & Ameer Azhar, N. V. (2019). Fully automated classroom attendance system. International Journal of Interactive Mobile Technologies, 13(8), 95–106. https://doi.org/10.3991/ijim.v13i08.10100

Alluwaimi, A. (2020). Department of Electrical Engineering Senior Design Project Report Face Detection and Recognition Student Attendance System In partial fulfillment of the requirements for the award of the bachelor's degree program.

Ancheta, R. F., Daniel, D., & Ahmad, R. (2021). Effect of Class Attendance on Academic Performance. European Journal of Education Studies, 8(9), 115–131. https://doi.org/10.46827/ejes.v8i9.3887

Bhattarai, N., Bernasek, A., & Pena, A. A. (2020). Factors Affecting School Attendance and Implications for Student Achievement by Gender in Nepal. Review of Political Economy, 32(2), 259–282. https://doi.org/10.1080/09538259.2020.1769296

Bhavana, D., Kumar, K. K., Kaushik, N., Lokesh, G., Harish, P., Mounisha, E., & Tej, D. R. (2020). Computer vision-based classroom attendance management system with speech output using LBPH algorithm. International Journal of Speech Technology, 23(4), 779–787. https://doi.org/10.1007/s10772-020-09739-2

C.O, A., A.O, A., O.O, O., & E.O, I. (2013). Fingerprint-Based Attendance Management System. Journal of Computer Sciences and Applications, 1(5), 100–105. https://doi.org/10.12691/jcsa-1-5-4

Dassanayake, D., & Wanniarachchi, W. (2021). Challenges of manual attendance system towards student motivation. International Research Conference (IRC) of the Kotelawala Defence University (KDU), 516–525.

Feng, D., Wang, P., & Zu, L. (2020). Design of Attendance Checking Management System for College Classroom Students Based on Fingerprint Recognition. Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, 555–559. https://doi.org/10.1109/CCDC49329.2020.9164638

Guryan, J., Christenson, S., Cureton, A., Lai, I., Ludwig, J., Schwarz, C., Shirey, E., & Turner, M. C. (2021). The Effect of Mentoring on School Attendance and Academic Outcomes: A Randomized Evaluation of the Check & Connect Program. Journal of Policy Analysis and Management, 40(3), 841–882. https://doi.org/10.1002/pam.22264

Haq, H. B. U., & Saqlain, M. (2023). Iris Detection for Attendance Monitoring in Educational Institutes Amidst a Pandemic: A Machine Learning Approach. Journal of Industrial Intelligence, 1(3), 136–147. https://doi.org/10.56578/jii010301

Hemalatha, S. (2020). A systematic review on Fingerprint-based Biometric Authentication System. International Conference on Emerging Trends in Information Technology and Engineering, Ic-ETITE 2020, 1–4. https://doi.org/10.1109/ic-ETITE47903.2020.342

Hernandez-de-Menendez, M., Morales-Menendez, R., Escobar, C. A., & Arinez, J. (2021). Biometric applications in education. International Journal on Interactive Design and Manufacturing, 15(2–3), 365–380. https://doi.org/10.1007/s12008-021-00760-6

Hoo, S. C., & Ibrahim, H. (2019). Biometric-based attendance tracking system for education sectors: A literature survey on hardware requirements. Journal of Sensors, 2019. https://doi.org/10.1155/2019/7410478

Humaun Kabir, M., Roy, S., Tofail Ahmed, M., & Alam, M. (2021). Smart Attendance and Leave Management System Using Fingerprint Recognition for Students and Employees in Academic Institute. Article in International Journal of Scientific Research, 6(September), 350. www.ijstr.org

Kassarnig, V., Bjerre-Nielsen, A., Mones, E., Lehmann, S., & Lassen, D. D. (2017). Class attendance, peer similarity, and academic performance in a large field study. PLoS ONE, 12(11), 1–15. https://doi.org/10.1371/journal.pone.0187078

Koshti, S. D. (2012). Research methodology.

Kothari, R. (2014). Research Methodology: Methods and Techniques (Third Edit). New Age International (P) Limited, Publishers: New Delhi.

Mbwillo, J. S. (2008). Competency-Based Education and Training ( CBET ) on Students ’ Engagement in Learning Process at Tanzania Public Service College-Mbeya Campus.

Mkonongwa, L. M., & Department. (2016). Competency-based teaching and learning approach towards quality education. Jurnal Penelitian Pendidikan Guru Sekolah Dasar, 6(August), 128.

Mohzana, Arifin, M., Pranawukir, I., Mahardhani, A. J., & Hariyadi, A. (2024). Quality Assurance System In Improving The Quality Of Education In Schools. Mudir (Jurnal Manajemen Pendidikan), 6(1), 115–123. https://ejournal.insud.ac.id/index.php/MPI/article/view/830/646

NACTVET. (2004). GOVERNMENT NOTICE NO. 74 PUBLISHED ON 12/03/2004 (Issue 74, pp. 1–37).

Observations, S., More, R., One, T., Critically, T., Everyday, A., & Agreement, I. (2020). Chapter 6 Methods of Data Collection Introduction to Methods of Data Collection The Nature of Observations Ways of Observing Participant vs. Nonparticipant Observation Scheduling Observations Defining the Behavior to Be Observed Specific Techniques for Re (pp. 1–26). https://uca.edu/psychology/files/2013/08/Ch6-Methods-of-Data-Collection.pdf

Olanipekun, A. A., & Boyinbode, O. K. (2015). An RFID-based automatic attendance system in educational institutions of Nigeria. International Journal of Smart Home, 9(12), 65–74. https://doi.org/10.14257/ijsh.2015.9.12.07

Pinter, R., Čisar, S. M., Balogh, Z., & Manojlovi, H. (2020). Enhancing Higher Education Student Class Attendance through Gamification. 17(2), 13–33.

R., K. C. (2004). Research Methodology, methods, and Techniques (2nd Revise). New Age International (P) Limited, Publisher 4835/24, Ansari Road, Daryaganj, New Delhi - 110002.

Rahman, M. M. (2016). Barriers to M-commerce Adoption in Developing Countries – A Qualitative Study among the Stakeholders of Bangladesh. The International Technology Management Review, 3(2), 80–91.

Ramadhani, M. (2017). Curriculation and Competence Based Education Training (CBET) in Tanzania: A Critical Assessment of Public Administration and Management (PAM) Curricula at Tanzania Public Service College (TPSC). HOLISTICA – Journal of Business and Public Administration, 8(2), 17–40. https://doi.org/10.1515/hjbpa-2017-0010

Rathod, H., Ware, Y., Sane, S., Raulo, S., Pakhare, V., & Rizvi, I. A. (2017). Automated attendance system using machine learning approach. 2017 International Conference on Nascent Technologies in Engineering, ICNTE 2017 - Proceedings, 5(09), 24–26. https://doi.org/10.1109/ICNTE.2017.7947889

Sutrop, M. (2010). Ethical issues in governing biometric technologies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6005 LNCS, 102–114. https://doi.org/10.1007/978-3-642-12595-9_14

Ula, M., Pratama, A., Asbar, Y., Fuadi, W., Fajri, R., & Hardi, R. (2021). A New Model of the Student Attendance Monitoring System Using RFID Technology. Journal of Physics: Conference Series, 1807(1). https://doi.org/10.1088/1742-6596/1807/1/012026