Open Access

ARTICLE

Building a Smart Management System for the Field Training Course at the Faculty of Specific Education-Mansoura University

Soha A. Shaban^*, Amira A. Atta, Dalia L. Elsheweikh

Department of Computer Science, Faculty of Specific Education, Mansoura University, Mansoura, 35516, Egypt

* Corresponding Author: Soha A. Shaban. Email:

Computer Systems Science and Engineering 2024, 48(5), 1213-1250. https://doi.org/10.32604/csse.2024.052603

Received 08 April 2024; Accepted 31 July 2024; Issue published 13 September 2024

Abstract

Field training is the backbone of the teacher-preparation process. Its importance stems from the goals that colleges of education aim to achieve, which include bridging the gap between theory and practice and aligning with contemporary educational trends during teacher training. Currently, trainee students attendance in field training is recorded manually through signatures on attendance sheets. However, this method is prone to impersonation, time wastage, and misplacement. Additionally, traditional methods of evaluating trainee students are often susceptible to human errors during the evaluation and scoring processes. Field training also lacks modern technology that the supervisor can use in case of his absence from school to monitor the trainee students’ implementation of the required activities and tasks. These shortcomings do not meet the needs of the digital era that universities are currently experiencing. As a result, this paper presents a smart management system for field training based on Internet of Things (IoT) and mobile technology. It includes three subsystems: attendance, monitoring, and evaluation. The attendance subsystem uses an R307 fingerprint sensor to record trainee students’ attendance. The Arduino Nano microcontroller transmits attendance data to the proposed Android application via an ESP-12F Wi-Fi module, which then forwards it to the Firebase database for storage. The monitoring subsystem utilizes Global Positioning System (GPS) technology to continually track trainee students’ locations, ensuring they remain at the school during training. It also enables remote communication between trainee students and supervisors via audio, video, or text by integrating video call and chat technologies. The evaluation subsystem is based on three items: an online exam, attendance, and implementation of required activities and tasks. Experimental results have demonstrated the accuracy and efficiency of the proposed management system in recording attendance, as well as in monitoring and evaluating trainee students during field traiing.

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Keywords

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