Mobile Application System Supported BUC Students Services and Learning

Alfarsi, Ghaliya; Jabbar, Jasiya; Tawafak, Ragad M; Iqbal, Sohail; Alsidiri, Abir; Alsinani, Maryam; Sulaiman, Hidayah

doi:10.3991/ijim.v14i09.12053

Cited by 15 publications

(9 citation statements)

References 15 publications

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“…The results show that SCS has a magnanimous structure and sound psych properties. In [5], an investigation was conducted on the advanced sensible room. The sensible room was represented as an intelligent technique for learning and education.…”

Section: Related Workmentioning

confidence: 99%

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An Internet-of-Things based Real-time Monitoring System for Smart Classroom

Ojo

Kareem

Odunuyi

et al. 2022

J. Nig. Soc. Phys. Sci.

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The Development in technology has brought about a common norm of communicating and interacting with appliances remotely using portable devices like laptops and smartphones that have Internet connections. This is possible with the use of the Internet of Things, popularly referred to as IoT. This paper presents a system by which classroom held interactions specifically seat allotment is made a simpler process by secured automation coupled with the Internet of Things to develop a system that enables a person or group of people to remotely monitor seat allotment, de-allotment with precision over a wide distance. Traditional means of allotment are quite slow and tiresome especially when dealing with a large number of students. Hence there is a need to develop a system to automatically allot, track, and monitor real-time seats in a classroom. In this research, an IoT seat allotment system is proposed; the system is developed and tested within a smart classroom environment using the Federal University of Agriculture Abeokuta (FUNAAB), Nigeria as a case study. The system is implemented on Arduino IDE using C++ programming language and a prototype of the mobile IoT seat allotment application is developed using Java programming language. Through experimental analysis, it was discovered that the IoT Seat allotment achieved the ranges of 30 % to 50 % reduced time, and higher accuracy when compared with the traditional seat allotment method.

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Section: Related Workmentioning

confidence: 99%

“…The advancement in cloud computing has supported the manner of development and dissemination, and modern electronic business bundling. Subsequently, IoT and cloud are currently extremely near future web innovations that are viable with IoT frameworks [5]. In the IoT, cloud computing enables seamless communication between IoT devices.…”

Section: Introductionmentioning

confidence: 99%

An Internet-of-Things based Real-time Monitoring System for Smart Classroom

Ojo

Kareem

Odunuyi

et al. 2022

J. Nig. Soc. Phys. Sci.

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“…In combination with each essential element, these three models can combine to improve the understanding level of higher education students [37,18]. Furthermore, the integrated model will evaluate the social acceptance for this new revolution of the learning process to highlight the essential elements used for gaining both student and teacher [38]. The next section explains the factors used for a combined model and declaration of its importance and impact of each element to enhance the continuous intention to use e-learning.…”

Section: Multi-e-learning Modelsmentioning

confidence: 99%

A Combined Model for Continuous Intention to Use E-Learning System

Tawafak

Malik

Mathew

et al. 2021

Int. J. Interact. Mob. Technol.

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<p>E-learning systems installed in educational institutions have increased the efficiency of scholarly processes over the years. E-learning, however, has faced many factors affecting the continuous intention of teachers and students to use e-learning, such as student satisfaction, productivity, and academic success. Therefore to improve academic success, there is a need for institutions to enhance their e-learning programs. Thus the primary objective of this thesis is to construct a composite. This research focuses on the advancement of e-learning to boost students' continuous trying to use e-learning to increase students' level of understanding and academic performance. Data were collected using questionnaires returned to determine their e-learning feedback by 295 undergraduates from four universities in Oman, after which (PLS-SEM) used e-learning to assess their ongoing trial of using e-learning. The facts demonstrate that the variables are essential for the continuing decision to use e-learning.</p>

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“…Given the importance of accessibility and flexibility in language learning, mobile learning applications are an ideal solution [6] for learning Japanese. Mobile-based applications allow users to learn anywhere and anytime, giving learners the opportunity to practice consistently and efficiently [7]. Currently, there are various Japanese learning apps available on the Play Store; however, most of them do not include a handwriting pattern recognition feature.…”

Section: Introductionmentioning

confidence: 99%

Step-by-Step: Learning Japanese Writing on Android for Beginners

Bantun,

Nirsal,

Marpaung

et al. 2024

TEM Journal

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This research focuses on developing an Android-based mobile application to facilitate the process of learning to write in Japanese for beginners. This application is designed to effectively teach the two main Japanese writing systems, namely Hiragana and Katakana, through an interactive and easy-to-follow method. By utilizing digital image processing technology, handwriting pattern recognition is carried out in real time by applying the Local Binary Patterns (LBP) and Euclidean distance methods. The app provides instant feedback allowing users to correct their mistakes in real-time. This research describes the application development process, the methodology used, and evaluation of application performance based on user testing. The research results show that this application is effective in improving Japanese writing skills for beginners, as well as offering a flexible and accessible way to learn Japanese. This study provides valuable insights into language learning applications that can be adapted to various learners needs and offers recommendations for the future development of similar applications.

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Mobile Application System Supported BUC Students Services and Learning

Cited by 15 publications

References 15 publications

An Internet-of-Things based Real-time Monitoring System for Smart Classroom

An Internet-of-Things based Real-time Monitoring System for Smart Classroom

A Combined Model for Continuous Intention to Use E-Learning System

Step-by-Step: Learning Japanese Writing on Android for Beginners

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