A Dashboard-based System to Manage and Monitor the Progression of Undergraduate IT Degree Final Year Projects

2021 ◽  
Vol 29 (4) ◽  
pp. 235-256
Author(s):  
Nooralisa Mohd Tuah ◽  
Ainnecia Yoag ◽  
Dinna@Nina Mohd Nizam ◽  
Cheang Wan Chin
Keyword(s):  
Technology Acceptance ◽  
User Behavior ◽  
System Development ◽  
Full Potential ◽  
Course Management ◽  
Work Processes ◽  
Application Development ◽  
E Learning ◽  
System Acceptance ◽  
Acceptance Model

Having a system to process and store information securely is crucial for an e-learning environment in a higher learning institute. Data recorded manually is deemed unsuitable as it may lead to mishandling of documents, poor record of documents movements, and even missing documents. A final year project (FYP) subject for a particular university’s course would need a specific management system to alleviate the work processes of supervision and monitor student progress. This system would reduce cost, paperwork, staffing and even simplify the workflow process. Therefore, introducing a student dashboard-based system for the FYP course is proposed in this study. This paper presents a smart system utilizing data analytics and a dashboard that enables the students to self-monitor, track progress and manage important information related to their FYP. The system development followed stepwise Rapid Application Development (RAD) methodology in developing the system. The developed system has been designed, developed, and tested by university students taking FYP courses. A Technology Acceptance Model (TAM) was adopted in the testing phase to examine the system acceptance and user behavior intention in using the proposed system. The results showed a significant effect on a positive implementation in the faculty’s course management and monitoring the student’s FYP progress. For the dashboard-based system to reach its full potential, it is highly recommended to implement the system in its course management fully.

scholarly journals MODEL PENERIMAAN DAN PEMANFAATAN TEKNOLOGI: E-LEARNING DI PERGURUAN TINGGI

2020 ◽  
Vol 8 (1) ◽  
pp. 110
Author(s):  
Fajar Arianto ◽  
Lamijan Hadi Susarno ◽  
Utari Dewi ◽  
Alfi Fatimatus Safitri
Keyword(s):  
Technology Acceptance ◽  
Structural Equation Model ◽  
Structural Equation ◽  
User Behavior ◽  
Equation Model ◽  
Ease Of Use ◽  
Research Subjects ◽  
E Learning ◽  
Moderate Effect ◽  
Acceptance Model

E-learning is a kind of learning by utilizing information and communication technology. The success of using e-learning influenced by various factors. Technology Acceptance Model (TAM) is a model developed by Davis (1989) that is used to find out the acceptance and use of technology. The purpose of TAM is to explain the determinants of computer acceptance in general, which can explain user behavior in various computing technologies of end-users and user populations, saving time and theoretically justified. This model aims to predict and explain the factors that need to be corrected. This study focused on six variables, namely the perception of use, the perception of ease, attitude, and behavior. The analysis technique used to analyze data was SEM (Structural Equation Model) analysis. The research subjects were 262 students. The results of this study were (1) perception of use had a strong effect on the attitude of the use of e-learning, (2) perception of ease had a strong effect on the attitude of the use of e-learning, (3) perception of use had a moderate effect on the behavior of the use of e-learning, (4) perception of ease had a moderate effect on e-learning usage behavior, and (5) strong e-learning attitude toward e-learning behavior. The use of e-learning must pay attention to the user's attitude towards the technology used and the user's perception of the ease of use. AbstrakE-learning merupakan pembelajaran dengan memanfaatkan teknologi onformasi dan komunikasi. Keberhasilan dalam penggunaan e-learnig dipengaruhi berbagai faktor. Teknologi Acceptance Model (TAM) merupakan model yang dikembangkan oleh Davis (1989) yang digunakan untuk mengetahui mengetahui penerimaan dan penggunaan pemenfaatan teknologi. Tujuan dari TAM adalah untuk memberikan penjelasan tentang faktor-faktor penentu penerimaan komputer secara umum, mampu menjelaskan perilaku pengguna di berbagai teknologi komputasi pengguna akhir dan populasi pengguna, hemat waktu dan secara teoritis dibenarkan. Model ini bertujuan untuk memprediksi dan menjelaskan faktor-faktor yang perlu diperbaiki. Pada penelitian ini memfokuskan pada enam variabel, yaitu persepsi penggunaan, persepsi kemudahan, sikap, dan perilaku. Teknik analisa yang dipergunakan untuk menganalisis data adalah analisis SEM (Structural Equation Model). Subjek penelitain berjumlah 262 mahasiswa. Hasil dari penelitian ini adalah (1) persepsi penggunaan berpengaruh yang kuat terhadap sikap penggunaan e-learning, (2) persepsi Kemudahan berpengaruh yang kuat terhadap sikap penggunaan e-learning, (3) persepsi Penggunaan berpengaruh yang sedang terhadap perilaku penggunaan e-learning, (4) persepsi Kemudahan berpengaruh yang sedang terhadap perilaku penggunaan e-learning, dan (5) sikap penggunaan e-learning yang kuat terhadap perilaku penggunaan e-learning. Penggunaan e-learning harus memperhatikan sikap pengguna terhadap teknologi yang digunakan dan persepsi pengguna terhadap kemudahan penggunaan. 

scholarly journals E-Commerce Competence Assessment Mobile Application Development for SMEs in Thailand

2020 ◽  
Vol 14 (11) ◽  
pp. 48
Author(s):  
Thipsuda Wongkhamdi ◽  
Nagul Cooharojananone ◽  
Jintavee Khlaisang
Keyword(s):  
Technology Acceptance ◽  
System Development ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Application Development ◽  
Self Assessment ◽  
Core Technology ◽  
The Government ◽  
Acceptance Model

The objectives of this study are to develop e-Commerce self-assessment application based on research and to evaluate the adoption of the system by using the Technology Acceptance Model (TAM) which are designed for SMEs self-assessment and the government agencies are able to retrieve the report. The system development deployed Microsoft .NET CORE Technology with C# language, HTML/CSS/JS for Mobile Web Development. All data will store on Aurora RDS. The web deployed on Amazon public cloud that will automatic scale when a lot of traffic arrived. Since the indicators from the research have been developed as an application, users will be able to use it conveniently anytime and anywhere. The system will help entrepreneurs realize the level of ecommerce knowledge of their own in various areas and help them to know what needs to be improved and more importantly, government officials can allocate budget for training in order to improve entrepreneurs’ performance. The evaluation result of system adoption in 30 cosmetic and supplementary food entrepreneurs showed that for Perceive Usefulness, the use of application systematically revealed the strength, weakness and potential of themselves and was beneficial for self-assessment in online selling skills, <em>xÌ„</em> = 4.50 equally. Perceived Ease of Use, it is very easy to do self-assessment through application, <em>xÌ„</em> = 4.63. Attitude Toward Using, in general, the attitude toward using the application was positive, <em>xÌ„</em> = 4.73. Behavioral Intention to Use, the intention to use this application in the future, <em>xÌ„</em> = 4.57 and 100% of 30 respondents were interested to use the system.

Faculty Adoption, Application, and Perceptions of a CMS in a University English Language Program

2018 ◽  
pp. 161-175 ◽  
Author(s):  
Brett Milliner ◽  
Travis J. Cote
Keyword(s):  
Technology Acceptance ◽  
Learning Strategies ◽  
English Language ◽  
Course Management System ◽  
Course Management ◽  
Language Program ◽  
Student Autonomy ◽  
E Learning ◽  
Acceptance Model ◽  
English Program

Central to most e-learning strategies is the course management system (CMS). While a CMS has the potential to facilitate better course management, enhance learning, and encourage student autonomy, reports indicate that faculty are slow to adopt a CMS, and yet others claim most faculty are not using a CMS to its potential. This chapter considers teachers in a university English program who were surveyed about their perceptions of the Blackboard CMS using the technology acceptance model (TAM) and data from usage logs were analyzed to appraise actual CMS application. While the teachers had an overwhelmingly positive view of the CMS, their utilization of Blackboard was limited or unsophisticated. As e-learning coordinators in the English program, the authors are interested in increasing CMS adoption and developing a robust e-learning component in the curriculum.

scholarly journals Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Fatiha Bousbahi ◽  
Muna Saleh Alrazgan
Keyword(s):  
Technology Acceptance ◽  
Organizational Support ◽  
Latent Variables ◽  
Faculty Members ◽  
Full Potential ◽  
Personal Factors ◽  
E Learning ◽  
Learning Management ◽  
Acceptance Model ◽  
The University

To enhance instruction in higher education, many universities in the Middle East have chosen to introduce learning management systems (LMS) to their institutions. However, this new educational technology is not being used at its full potential and faces resistance from faculty members. To investigate this phenomenon, we conducted an empirical research study to uncover factors influencing faculty members’ acceptance of LMS. Thus, in the Fall semester of 2014, Information Technology faculty members were surveyed to better understand their perceptions of the incorporation of LMS into their courses. The results showed that personal factors such as motivation, load anxiety, and organizational support play important roles in the perception of the usefulness of LMS among IT faculty members. These findings suggest adding these constructs in order to extend the Technology acceptance model (TAM) for LMS acceptance, which can help stakeholders of the university to implement the use of this system. This may assist in planning and evaluating the use of e-learning.

Postgraduate Students’ Perceived E-Learning Acceptance

2013 ◽  
Vol 4 (3) ◽  
pp. 51-60
Author(s):  
M. R. K. N. Yatigammana ◽  
Md. Gapar Md. Johar ◽  
Chandra Gunawardhana
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Perceived Ease Of Use ◽  
Postgraduate Students ◽  
Geographically Dispersed ◽  
Postgraduate Studies ◽  
E Learning ◽  
Acceptance Model

E-learning is a method of delivering knowledge using information technology and electronic media for the remote users. The advantages of e-learning method can be fully achieved with the postgraduate studies as majority of the postgraduate students are engaged in learning while they are working and also geographically dispersed due to the family and work life thus physically appearing for the lecture sessions are difficult to them. This paper attempts to develop a framework to measure the postgraduate students’ perceived technology acceptance by developing a modified version of the Technology Acceptance Model (TAM) which replaces perceived usefulness and perceived ease of use in the original model of TAM with relative advantage and complexity and incorporate other variables of trialability, observability, compatibility, psychological wellbeing and social influence of the students. The developed model is validated using 30 postgraduate students from Sri Lanka and thus this model can be used in future researchers to measure the perceived e-learning acceptance of postgraduate students.

scholarly journals Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform

2021 ◽  
Vol 11 (10) ◽  
pp. 4672
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Technology Acceptance ◽  
Time Management ◽  
Agricultural Sector ◽  
Geographical Location ◽  
Ease Of Use ◽  
Content Quality ◽  
Learning Platform ◽  
Primary Determinant ◽  
E Learning ◽  
Acceptance Model

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.

scholarly journals Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic

2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Family Support ◽  
Technology Acceptance Model ◽  
Online Teaching ◽  
Ease Of Use ◽  
Critical Factors ◽  
Factors Affecting ◽  
E Learning ◽  
Acceptance Model

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.

scholarly journals Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 128445-128462 ◽  
Author(s):  
Said A. Salloum ◽  
Ahmad Qasim Mohammad Alhamad ◽  
Mostafa Al-Emran ◽  
Azza Abdel Monem ◽  
Khaled Shaalan
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
E Learning ◽  
Acceptance Model
Sign in / Sign up

Export Citation Format

Share Document