An Improved Framework for Sindh School Monitoring System Android App

Author:

Halepoto Imtiaz Ali,Gul Feroz,Memon Fayaz Ahmed,Saeed Umair,Hussain Majid,Zardari Baqir Ali

Abstract

Sindh government has presented a system for observing schools called the Sindh School Monitoring System (SSMS) Framework. One of the part of the system is SSMS app, which is based on Android. SSMS app is widely used in the Sindh province in order to monitor the school with major focus on attendance. The SSMS app has increased the system performance in terms of attendance, however several flaw are present in its current framework. This paper identifies the key issues in the current framework such as identification and verification of Monitoring assistant (MA), school search options and SMC, teacher performance evaluation, reporting, curriculum, student performance evaluation and census, school building details, SNE, school amenities, GR register, NADRA verification, rights of MAs and online reporting options in the app. The changes are proposed in the existing framework, for the said key issues, which could improve the overall system performance. In order to validate the key findings and proposed changes in the existing framework a questionnaire has been prepared and evaluated from the SSMS app users. All the app users validated the proposed changes in the framework.

Publisher

VFAST Research Platform

Reference21 articles.

1. Ameeq, Muhammad, Muhammad Muneeb Hassan, Mah Jabeen, and Laraib Fatima. ”Impact of Teacher Absenteeism on Student Achievement: A Case of South Punjab District Muzaffargarh, Pakistan.” education 9, no. 16: 16-19, 2018.

2. Education, E. “EDUCATION & LITERACY Sindh. Accessed URL http://www.sindheducation.gov.pk /pages.jsp?page= sindhschoolmonitoringsystem. Feb 2023.

3. Kaleem Ghori. “IMPACT OF BIOMETRIC ATTENDANCE SYSTEM ON GOVERNMENT SCHOOLS OF SINDH” Master Thesis, The Department of Information Technology, QUEST Nawabshah, 2019.

4. Ali, Nabeel Salih, Ahmed Hazim Alhilali, Hasanein D. Rjeib, Haider Alsharqi, and Basheer Al-Sadawi. "Automated attendance management systems: systematic literature review." International Journal of Technology Enhanced Learning 14, no. 1 (2022): 37-65, 2022.

5. Murad, Saydul Akbar, Apurba Adhikary, Md Bipul Hossain, Avi Deb Raha, Zafril Rizal M. Azmil, Md Shamim Ahsan, M. Saef Ullah Miah, and Abu Jafar Md Muzahid. "An automated system to maintain the departmental activities over cloud: An android application approach." 2023.

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