Factors Affecting Teachers' Motivation to Adopt Cloud-based E-learning System in Iraqi Deaf Institutions: A pilot Study

2019 ◽  
Author(s):  
Najmuldeen A. Hashim ◽  
Muriati Mukhtar ◽  
Nurhizam Safie
Keyword(s):  
Pilot Study ◽  
Learning System ◽  
Factors Affecting ◽  
E Learning

scholarly journals Factors Affecting Students' Acceptance of e-Learning System in Higher Education

2020 ◽  
Vol 5 (2) ◽  
pp. 54-65
Author(s):  
Nurhafizah Ahmad ◽  
Norazah Umar Umar ◽  
Rozita Kadar ◽  
Jamal Othman
Keyword(s):  
Higher Education ◽  
Learning Style ◽  
Main Idea ◽  
Learning System ◽  
Independent Learning ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Effective Learning ◽  
Significant Relationships ◽  
E Learning

e-Learning has become the most important supporting tool offering independent learning style among students. The main idea of this paper is to dismantle and analyse factors that influence the acceptance of e-Learning among students in higher education.  An online questionnaire link was distributed to a sample comprising 123 respondents. Significant relationships and strength of relationship were observed between the e-Learning acceptance, quality, e-Learning self-efficacy, enjoyment, accessibility, and computer playfulness. The findings showed that all factors were positively correlated to the e-Learning system except the enjoyment of e-learning that did not affect the acceptance of e-learning. Conclusively, all factors stated were considered the main criteria in designing effective e-learning system. Future works such as embedding and integrating multimedia elements in the e-learning system will be additional attraction to learners and instructors for the effective learning style.

scholarly journals Exploring the Students’ Behavior Intentions to Adopt E-Learning Technology: A Survey Study Based on COVID-19 Crisis

2021 ◽  
Vol 16 (6) ◽  
pp. 31
Author(s):  
Arshed Fouad Altameemi ◽  
Zaher Abdula Fatah Al-Slehat
Keyword(s):  
Behavioral Intentions ◽  
Explanatory Power ◽  
Scientific Discipline ◽  
Educational Process ◽  
Learning System ◽  
Survey Study ◽  
Learning Technology ◽  
Factors Affecting ◽  
Academic Activities ◽  
E Learning

E-learning technology adoption has become, during the COVID-19 pandemic, an essential requirement and a new trend to manage the academic activities in the universities which follow traditional education (Face-to-Face Classroom). Because of the significant effect of coronavirus pandemic on the educational Process, this study's primary purpose is to gain an insight into the factors affecting the students' acceptance and their intentions to adopt an e-learning system in the faculty of business at Tafila university in Jordan. A total number of 257 students with different college disciplinary took part in the study by engaging via a survey distributed as a link by WhatsApp, E-mail, and Thuraya Platform. The study formulated a model based on a UTAUT of (Venkatesh et al., 2003) and suggested a new two moderating factors (study qualification level and scientific disciplinary) after drop two variables from the original model to make the model applicable in the context of a study. The data collection analyzed by smart PLS revealed that the research model constructs have positive explanatory power of the student's behavioral intention to adopt an e-learning system and improved after the moderating effect. Final result Sof this study states that the scientific discipline is a critical moderating factor that moderated the behavioral intentions to adopt e-learning technology from Tafila university students' viewpoint and accepted the new situation of academic activities with behavioral intentions to adopt e-learning.

scholarly journals Improvement of E-learning Based via Learning Management Systems (LMS) Using Artificial Neural Networks

2019 ◽  
pp. 1-9
Author(s):  
Khaled . M. G Noama ◽  
Ahmed Khalid ◽  
Arafat A. Muharram ◽  
Ibrahim A. Ahmed
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Real Data ◽  
Feedforward Neural Network ◽  
Learning System ◽  
Training Data ◽  
Factors Affecting ◽  
Virtual Class ◽  
Innovative Learning ◽  
E Learning

E-Learning nowadays is one of the learning system which uses the latest technologies in the field of innovative learning, it has been an extension of traditional education. The effectiveness of E-Learning lies in achievement of education and improving the student's performance and its reflection on the demands of students by discovering the weaknesses and strengths of the factors affecting distance learning. In this research we have used the multilayered neural networks (feedforward neural network) with an input of five neurons which represent the five criteria (virtual class presence, Discussion during semester, Solving Quiz, Mid-term examination, Assignment), hidden layer has two neurons and the output layers have one neuron. to estimate the performance of the students attending an E-Learning course, feedforward neural network was  applied to real data )400 student records (80%) are used for training data and the remaining 100 records (20%) are used as test data, performance = 0.0699), to  predict the performance of  the students   that reflect their real grades.

Medical Student Motivation to Work in E-learning

2015 ◽  
Vol 2 ◽  
pp. 300
Author(s):  
Baiba Druvmale-Druvleja ◽  
Linda Alondere ◽  
B. Vovere ◽  
I. Biteniece ◽  
J. Lure ◽  
...  
Keyword(s):  
Pilot Study ◽  
Student Motivation ◽  
Video Training ◽  
Factors Affecting ◽  
Medical College ◽  
Process Implementation ◽  
Novel Approach ◽  
Training Materials ◽  
E Learning ◽  
Motivation To Work

Nowadays information technology is widley used in studying process thus enabling students to acquire knowledge in a convenient place and time. It is a novel approach and a challenge for both – the students and the faculty of Latvian University Riga Medical College (LU RMK). In order to provide and develope e-learning environment LU RMK has launched a Project whose main objective is „to develop guidelines and video training materials in the e-environment for students and faculty staff in order to provide a more efficient studying process”. Implementation of the project has been started with a pilot study „Medical students’ motivation to work in e-environment”, designed to explore students’ motivation and factors affecting the work of the e environment. Methods: A pilot study using a quantitative method – a survey. To achieve the goal 209 students have been surveyed in the LU RMK.

Using logistic regression to analysis students' attitudes about e- learning in during COVID- 19 pandemic (case study for students of the Faculty of Science, University of Tabuk): استخدام الانحدار اللوجيستي لتحليل اتجاهات الطلاب عن التعليم الإلكتروني في ظل جائحة فيروس كورونا (دراسة حالة لطلاب كلية العلوم جامعه تبوك)

2021 ◽  
Vol 5 (16) ◽  
pp. 127-116
Author(s):  
Dalia Kamal Fathi, Randa Saleh Alharbi Dalia Kamal Fathi, Randa Saleh Alharbi
Keyword(s):  
Logistic Regression ◽  
Student Satisfaction ◽  
Learning Experience ◽  
Educational Process ◽  
Learning System ◽  
Survey Method ◽  
Factors Affecting ◽  
E Learning ◽  
Students Attitudes ◽  
The University

The study aimed to use logistic regression to analyze the factors affecting the satisfaction of the students of the University of Tabuk with the e- learning system during COVID- 19 from the perspective of the students themselves to reveal the challenges faced by the students and their satisfaction with the e- learning experience. The study included (321) students at the Faculty of Science, University of Tabuk. The electronic survey method prepared according to the Likert scale was used to collect information related to the study variables. The study adopted the descriptive analytical approach, a logistic regression model was used to determine the factors affecting students' satisfaction with e- learning.The results of the study showed that the level of student satisfaction with e- learning is good (72%) are satisfied with e- learning. Also, the study found that the course material prepared, speed of internet, assessment, and Workshops and explanations prepared by the Deanship of E- Learning to help students had a significant positive effect on student satisfaction. The study recommends the necessity of measuring student satisfaction on a continuous basis to improve and develop the educational process.

scholarly journals Looking under the Bonnet: Factors Affecting Student Adoption of E-Learning Systems in Jordan

2009 ◽  
Vol 10 (2) ◽  
Author(s):  
Muneer Mahmood Abbad ◽  
David Morris ◽  
Carmel De Nahlik
Keyword(s):  
Technology Acceptance ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Point Of View ◽  
Learning Systems ◽  
Learning System ◽  
Path Model ◽  
It Adoption ◽  
Factors Affecting ◽  
E Learning

The primary questions addressed in this paper are the following: what are the factors that affect students’ adoption of an e-learning system and what are the relationships among these factors? This paper investigates and identifies some of the major factors affecting students’ adoption of an e-learning system in a university in Jordan. E-learning adoption is approached from the information systems acceptance point of view. This suggests that a prior condition for learning effectively using e-learning systems is that students must actually use them. Thus, a greater knowledge of the factors that affect IT adoption and their interrelationships is a pre-cursor to a better understanding of student acceptance of e-learning systems. In turn, this will help and guide those who develop, implement, and deliver e-learning systems. In this study, an extended version of the Technology Acceptance Model (TAM) was developed to investigate the underlying factors that influence students’ decisions to use an e-learning system. The TAM was populated using data gathered from a survey of 486 undergraduate students using the Moodle based e-learning system at the Arab Open University. The model was estimated using Structural Equation Modelling (SEM). A path model was developed to analyze the relationships between the factors to explain students’ adoption of the e-learning system. Whilst findings support existing literature about prior experience affecting perceptions, they also point to surprising group effects, which may merit future exploration.

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