scholarly journals Cloud Computing Based E-Learning in Malaysian Universities

2020 ◽  
Vol 15 (08) ◽  
pp. 4
Author(s):  
Lubna A. Hussein ◽  
Mohd Faiz Hilmi
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Teaching And Learning ◽  
Perceived Usefulness ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Full Potential ◽  
Intention To Adopt ◽  
Tam Model ◽  
E Learning

Cloud computing is considered as a new innovation which essentially influences teaching and learning forms in educational sector. Utilizing this innovation not as it were upgrades the quality of teaching and learning, but too diminishes overhead consumption of instructive educate. In spite of the beneficial points of interest of cloud computing, in any case, its adoption is still distant from full potential, especially in university settings. However, there are not many studies on the adoption of cloud-based E-learning systems. Thus, this research is aimed to develop a theoretical research model for the adoption of cloud computing in universities of Malaysia. For this purpose, TAM model is used to represent the research framework. A survey was conducted among 265 cloud-based E-learning participants and analyzed by structural equation modeling (SEM). The findings indicate that the adoption of cloud-based E-learning is influenced by need, perceived usefulness, although inattentiveness is not significant to use intention to adopt cloud based e-learning.

scholarly journals Evaluation of the e-Learning Utilization as a Learning System in Higher Education Institution

2020 ◽  
Vol 12 (4) ◽  
pp. 160-168
Author(s):  
Uswatun Hasanah ◽  
Syahroni Hidayat ◽  
Danang Tejo Kumoro
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Teaching And Learning ◽  
User Behavior ◽  
Education Institution ◽  
Perceived Usefulness ◽  
Learning System ◽  
Use Of Technology ◽  
Tam Model ◽  
E Learning

This study aims to evaluate the use of technology to support teaching and learning activities. Lecturers and students have applied e-learning to teach subjects. The purpose of this evaluation is to measure the success of the use of STMIK Bumigora e-learning by using the Technology Acceptance Model (TAM) approach, which is an approach that can explain user behavior towards the use of technology. Evaluation of the use of e-learning is formulated into a model based on the TAM model, while SEM (Structural Equation Modelling) is used for data analysis. Based on the measurement analysis in this study, several factors  most influenced the effectiveness of e-learning, namely the usage tutorial for users, ICT facilities related to the Ease of accessing the internet network. Meanwhile, in structural analysis, it was found that attitudes toward the use and perceived usefulness were strongly correlated with real use factors. The actual use is a real condition of the use of e-learning measured by the frequency and duration of time in using the technology, which is influenced by the user's belief in accepting the existence of e-learning in STMIK Bumigora and user beliefs related to the benefits when using it. Therefore, attitudes toward the use and perception of usefulness are the main determining factors in measuring the frequency and duration of e-learning use.

scholarly journals Exploring Students' Acceptance of Google Classroom during the Covid-19 Pandemic by Using the Technology Acceptance Model in West Sumatera Universities

2021 ◽  
Vol 19 (4) ◽  
pp. pp233-240
Author(s):  
Ahmad Fauzi ◽  
Raju Wandira ◽  
Domi Sepri ◽  
Afdhil Hafid
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Learning Process ◽  
Structural Equation ◽  
Teaching And Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

The learning process in West Sumatera, Indonesia, changed into an online-based system due to the Covid-19 pandemic, which involved educators and students using many platforms of e-learning for teaching and learning. Therefore, the purpose of this research is to evaluate the use of e-learning platforms among students at universities in West Sumatera, Indonesia, during the Covid-19 pandemic, particularly widely used Google Classroom. This research employs the Technology Acceptance Model (TAM) by considering relevant external factors related to the pandemic situation and examining their effects on the acceptance of Google Classroom. A questionnaire was distributed from December 11th to December 31st, 2020, to collect data via an online-based survey. Using Cochran's formula with a confidence level of 95%, 383 students were selected as samples, while Structural Equation Modeling (SEM) was applied as a method for data analysis. The result showed that the facility had made the learning process easy for students, which influenced its usefulness. The facility is related to the possession of the required tools and knowledge to utilize the technology, alongside the significant effect on ease of use and usefulness. When adequately provided, the ease and benefit of using Google Classroom are maximally felt when distance learning is ongoing. Consequently, the ease of use positively influenced the benefits of the platform as its features were simple and benefited the students during the learning process. The usefulness of Google Classroom also had a positive influence on attitude towards the platform, and this variable finally determined the intention to use, which was significantly influenced by the perceived usefulness of e-learning. Therefore, this study shows that factors that determine facility, such as the internet, devices used by students, or knowledge to use Google Classroom, are important in online learning during the Covid-19 pandemic.

Understanding determinants of cloud computing adoption using an integrated TAM-TOE model

2015 ◽  
Vol 28 (1) ◽  
pp. 107-130 ◽  
Author(s):  
Hemlata Gangwar ◽  
Hema Date ◽  
R Ramaswamy
Keyword(s):  
Cloud Computing ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Organizational Level ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Content Type ◽  
Cloud Computing Adoption ◽  
Tam Model ◽  
Toe Framework

Purpose – The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level. Design/methodology/approach – A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model. Findings – The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption. Practical implications – The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption. Originality/value – This study integrates two of the information technology adoption models to improve predictive power of resulting model.

scholarly journals THE INFLUENCE OF E-LEARNING CHARACTERISTICS AND BASIC ICT COMPETENCIES TO ACTUAL USAGE OF E-LEARNING: A PATH DIAGRAM MODEL

2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Ict Competencies

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.

scholarly journals Determinants of e-learning acceptance amongst Iranian postgraduate students

2022 ◽  
Vol 6 (2) ◽  
pp. 181-191
Author(s):  
Fatima Baji ◽  
Fereydoun Azadeh ◽  
Zivar Sabaghinejad ◽  
Amir Zalpour
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Validity And Reliability ◽  
Postgraduate Students ◽  
E Learning ◽  
Self Reporting Questionnaire

E-learning can address some of the unmet needs of learners and educational communities; however, not all learners and educators accept e-learning as a delivery modality. This research endeavored to study the factors which affect e-learning acceptance among Iranian post-graduate students using the Davis Technology Acceptance Model (TAM) and to identify the changes which would facilitate their improved acceptance and subsequent wider use of e-learning. This descriptive-correlation study was conducted by surveying 320 Iranian postgraduate students using a self-reporting questionnaire. Structural equation modeling was used for data analysis through LISREL software. Results revealed sufficient validity and reliability of the TAM among Iranian postgraduate medical students. Perceived ease of use, perceived usefulness of e-learning, students’ attitudes toward e-learning, and the intention to use e-learning positively affected e-learning’s acceptance (p < 0.05) among Iranian postgraduate students. According to the results, attitudes toward e-learning have more predictive power than other TAM constructs. Therefore, emphasis on students’ favorable attitudes toward e-learning can be effective in accelerating its acceptance and will progress students’ learning outcomes.

scholarly journals 4G Adoption in India : An Extended TAM Model

2019 ◽  
Vol 8 (4) ◽  
pp. 2576-2579
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Practical Implication ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
The Other ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
Telecom Sector

The research focuses on 4G adoption scenario and revealing the important determinants that influence consumer’s decision regarding adopting 4G services in India. The determinants used in this research are Perceived Cos(PC), Perceived ease of use(PEOU), Social influence(SI), Self-efficacy(SE) and Perceived usefulness(PU). The study extended the TAM model by considering the other variables .371 respondents was chosen for the study using 4G telecom services in India. Hypothesis were tested using Structural Equation modeling (SEM). PUand SE are the significant determinants of 4G adoption. Many countries are formulating their marketing strategy regarding technology adoption and the model tested in the research plays has a practical implication in helping the stakeholders in the present revolution in the telecom sector.

How does task-technology fit influence cloud-based e-learning continuance and impact?

2019 ◽  
Vol 61 (4) ◽  
pp. 480-499 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Educational Institution ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Comprehensive University ◽  
Content Type ◽  
E Learning ◽  
Task Technology Fit ◽  
Perceived Impact

Purpose According to expectation–confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students’ cloud-based e-learning continuance and evaluate whether TTF affects students’ perceived impact on learning of the cloud-based e-learning system within the educational institution. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 500 questionnaires were distributed in the campus, and 391 (78.2 percent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s results verified that both task characteristics and technology characteristics affected students’ perceived TTF, which significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, and these in turn directly or indirectly led to their continuance intention of the system and perceived impact on learning; essentially, the results strongly supported the research model integrating ECM and TTF model via positioning key constructs as the drivers with all hypothesized links being significant. Originality/value This study contributes to an understanding of the TTF in explaining students’ cloud-based e-learning continuance that is difficult to explain with only their utilitarian perception of the cloud-based e-learning system, and further places considerably more emphasis upon students’ perceived impact on learning greatly driven by their TTF in the system. Thus, this study’s empirical evidence on incorporating ECM and TTF model can shed light on the outcome for cloud-based e-learning continuance and enhance better understanding of a richer post-adoption model.

Preservice teachers' satisfaction with e-learning

2014 ◽  
Vol 42 (1) ◽  
pp. 3-6 ◽  
Author(s):  
Timothy Teo
Keyword(s):  
Preservice Teachers ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Course Delivery ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Learning Satisfaction ◽  
E Learning ◽  
Facilitating Conditions

In this study I explored the key drivers of preservice teachers' e-learning satisfaction. Participants (N = 387) completed a survey questionnaire to measure 6 constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction). Data analysis was performed using structural equation modeling. The results showed that, apart from facilitating conditions, all constructs were significant predictors of e-learning satisfaction. However, the facilitating conditions construct was found to be a significant mediator of perceived ease of use and satisfaction. Implications for e-learning are discussed.

scholarly journals Factors Affecting the Adoption of Blockchain Technology in the Complex Industrial Systems: Data Modeling

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yu Chengyue ◽  
M. Prabhu ◽  
Mahendar Goli ◽  
Anoop Kumar Sahu
Keyword(s):  
Technology Acceptance ◽  
Survey Data ◽  
Structural Equation ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Industrial Systems ◽  
Blockchain Technology

Nowadays, Blockchain Technology (BCT) is contributing toward addressing the challenges of complex industrial systems (CISs). The BCT reduces the complexity of cash data storage as well as retrieval system of finance, marketing, supply chain, inventory, and other departments. The objective of the present study is to investigate the factors, which affect the intention of professionals to adapt the BCT in the CISs by using an extension of the technology acceptance model. To fulfill the research objective, a theoretical research model is constituted by multiple hypotheses (H1–H6), i.e., perceived usefulness, perceived ease of use, perceived innovativeness, knowledge, risk, and trust after conducting the relevant literature survey in the context of BCT. Next, each hypothesis is tested by exploring the survey data of a sample of 287 professionals of different BCT user’s companies such as retailing, e-commerce, manufacturing, and construction. Survey data is analyzed by executing the structural equation modeling with AMOS software. The factors and latent constructs loadings, reliability, convergent, discriminant, model fit-measurement, structural model, and the path analysis are conducted. The results reveal that the H1, H2, and H4–H6 dropped the positive impact and effect on professionals’ intention to use the BCT in CISs. But, H3 has no effect for enhancing the intention of professionals to use BCT.

Visual Analytics Adoption in Business Enterprises

2019 ◽  
Vol 11 (1) ◽  
pp. 68-89 ◽  
Author(s):  
Mohammad Daradkeh
Keyword(s):  
Technology Acceptance ◽  
Visual Analytics ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Intention To Adopt ◽  
Business Enterprises

Visual analytics is increasingly being recognized as a source of competitive advantage. Yet, limited research has examined the factors deriving it organizational adoption. By integrating the technology acceptance model (TAM) with the task-technology fit (TTF) model, this research developed a model for visual analytics adoption in business enterprises. To test the research model, data was collected through a questionnaire survey distributed to 400 business professionals working in a variety of industries in Jordan. Collected data were tested and analyzed using structural equation modeling (SEM) technique. Findings of this research confirmed the applicability of the integrated TAM/TTF model to explain the key factors that affect the adoption of visual analytics systems for work-related tasks. Specifically, the results of this research demonstrated that the task, technology, and user characteristics are fundamental and influential antecedents of TTF, which in turn has a significant positive effect on the perceived usefulness and perceived ease of use of visual analytics systems. Additionally, there are significant positive effects from perceived usefulness and perceived ease of use toward users' intention to adopt visual analytics systems, and a firm relationship between perceived ease of use and perceived usefulness of visual analytics systems. Together all these constructs explain 59.9% of the variance in user's intention to adopt visual analytics systems at the workplace. Findings of this research provide several important implications for research and practice, and thus should help in the design and development of more user-accepted visual analytics systems and applications.

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