A Petri Net Computational Model for Web-based Students Attendance Monitoring
Keywords:
Web based student attendance, Petri nets, computational model, monitoringAbstract
Monitoring student's attendance in classes is necessaryfor proper assessment of their understanding and performance in a course module. Attendance nzonitoring in a manual teaching ånd leanüng setting is easier than in web-based. The major reason for the inherent difficulty is that the latter provides virtual teaching and learning relationship in which students are not seen, whereas thefonner involves physical orface-to-face teaching and learning. Research and evidence showed that good attendance has a direct impact on student's success in a course module. The paper presents an overview of studentteacher relationship in an educational environment. Subsequently, a Inathematical model description using Petri nets is provided to capture web- based student attendance. The entpirical exanzple and corresponding output using Microsoft Excel justified the modeling power of Petri nets. The framework presented can be embedded into custom online academic programnte to track student attendance in course modules.
Published
Issue
Section
How to Cite
Similar Articles
- Philip Asuquo Edem , Selong Unanaonwi Edem , Static Reservoir Modelling in the Eastern Niger Delta: Assessing Reservoir Heterogeneity and Uncertainty for Improved Field Development Planning , Communication In Physical Sciences: Vol. 13 No. 9 (2026): Volume 13, Issue 9
- Fatima Binta Adamu, Muhammad Bashir Abdullahi, Sulaimon Adebayo Bashir, Abiodun Musa Aibinu, Conceptual Design Of A Hybrid Deep Learning Model For Classification Of Cervical Cancer Acetic Acid Images , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Felix Chinedu Ugwu, Aimola, Amos Ayodele, Rita, Mizilafe Uwumagbe, Badams Sanni Latifat, Enhancing Transparency in Educational Data Mining: Applying Explainable AI to Analyze Student Behavior and Learning Patterns , Communication In Physical Sciences: Vol. 13 No. 3 (2026): Volume 13 Issue 3
- Paschal Bisong Nyiam, Abdellah Salhi, Solution Approaches to Multiple Objective Linear Programming , Communication In Physical Sciences: Vol. 13 No. 8 (2026): Volume 13, Issue 8
- Afamefuna Okoronkwo, Emmanuel Olusola Adeyemi, Solomon Alaba Adejoro, Aderonke Oyinade Adebisi, Omole Peculiar Damilola, Ibeto Augustina Ukamaka, Synthesis, Characterization and Nutrient Release Study of Zinc (II)-Aspartic Acid Framework Fertilizer , Communication In Physical Sciences: Vol. 12 No. 8 (2025): VOLUME 12 ISSUE 8
- Oluwaseun Ibuife Oluwaniyi, Digital Heat Stress Monitoring in Outdoor Work Environments: Validation and Practical Implications of Mobile Application-Based WBGT Estimation , Communication In Physical Sciences: Vol. 12 No. 8 (2025): VOLUME 12 ISSUE 8
- Taiwo Toyosola Ositimehin, AI-Driven Human Resource Management and Its Role in Sustainable Human Capital Development , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Emurode Williams, Lawrence Abakah, Aniedi Ojo, Chidinma Jonah, AI-Driven Analysis of Information Processing Capacity and Financial Stability in Delegated Asset , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Nweze Rosemary Chika Nweze, Nneka MaryAnn Okafor, Chinagolum Ituma, Hybrid Intelligent Model for Prediction of Autism Spectrum Disorder in Children , Communication In Physical Sciences: Vol. 13 No. 6 (2026): VOLUME 13 Issue 6
- 1. Anthony I. G. Ekedegwa, Evans Ashiegwuike, Enhanced Firefly Algorithm Inspired by Cell Communication Mechanism and Genetic Algorithm for Short-Term Electricity Load Forecasting , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
You may also start an advanced similarity search for this article.



