scholarly journals Interpreting Usability Factors Predicting Sustainable Adoption of Cloud-Based E-Learning Environment during COVID-19 Pandemic

2021 ◽  
Vol 13 (16) ◽  
pp. 9329
Author(s):  
Bireswar Dutta ◽  
Mei-Hui Peng ◽  
Chien-Chih Chen ◽  
Shu-Lung Sun
Keyword(s):  
Structural Equation ◽  
Well Being ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
System Quality ◽  
Four Dimensions ◽  
E Learning ◽  
Adoption Intention

The COVID-19 pandemic affected educational institutions in an unrivaled way around the globe and forced them to switch from conventional classroom learning mode to e-learning mode within a short time period. Neither instructors nor students had ample time to prepare. The purpose of the current study is to accomplish two objectives: to explore the functional relationship between attitudinal readiness (ATR), subjective well-being (SWB), and cloud-based e-learning adoption intention in Taiwan and examine the constancy of recommended proposed relationships among different students’ groups. The model was then empirically tested using data of 256 university students by structural equation modeling. The current study demonstrates that ATR is completely explained through four dimensions: peer reference, perceived ease of use, perceived usefulness, and perceived ubiquity. SWB is positively interpreted through four dimensions: online course quality, system quality, perceived service quality, and perceived closeness. Self-efficacy has a significant relationship with both attitudinal readiness and adoption intention of a cloud-based e-learning system. Finally, the invariance test explores substantial variance among students who intend to use the system and students who reject it. Therefore, researchers and practitioners regarding educational, technological innovation must consider this empirical evidence to develop and validate a sustainable cloud-based e-learning program in higher education.

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 E-Learning System Use During Emergency: An Empirical Study During the COVID-19 Pandemic

2021 ◽  
Vol 6 ◽  
Author(s):  
Ibrahim Alyoussef
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Actual Use ◽  
E Learning

The pandemic of COVID-19 quickly led to the closure of universities and colleges around the world, hoping that the guidance of social distancing from public health authorities will help flatten the curve of infection and minimize the overall fatalities from the epidemic. The e-learning framework, however, is the best solution to enable students to learn about the quality of education. The aim of this research was to examine variables reflecting the actual use of the e-learning system during the COVID-19 pandemic among university students. The perceived ease of use and perceived usefulness are positively correlated with facilitating condition, perceived control, and self-efficacy, which in turn influences students’ attitude toward use, which in turn affects the actual use of the e-learning system during the COVID-19 pandemic. To exam the model on the basis of user data from the e-learning system used collected through an online survey, structural equation modeling (SEM) and path analysis were used. The findings showed that the mindset of students to use had positive effects on the learning of students during the COVID-19 pandemic through the actual use of the e-learning system. In the context of e-learning programs in developing countries, previous studies have seldom explored an integrated model. In addition, this article aims to include a literature review of recently published research on the actual use of the e-learning system during the pandemic of COVID-19.

COVID-19 Pandemic Impact on Students Intention to Use E-Learning Among Malaysian Higher Education Institutions

2021 ◽  
pp. 002205742110325
Author(s):  
Siva Prakash Ramasamy ◽  
Arfan Shahzad ◽  
Rohail Hassan
Keyword(s):  
Higher Education ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Global Issue ◽  
E Learning

In the emergence of pandemic Coronavirus Disease (COVID-19), the delivery of education service becomes a global issue, and many traditional higher education institutes are shifting toward digital alternatives methods. E-learning is considered the most appropriate effective method of knowledge delivery to meet the current academic requirements. This study investigates the key determinants which influence the Intentions to use e-learning among students in higher education institutes in Malaysia due to the outbreak of the novel Covid-19 pandemic. The data were collected through structured questionnaires from students. The data were analyzed using the structural equation modeling using partial least squares (SEMPLS). The research findings revealed that Attitude, Subjective Norm, Perceived usefulness, and Perceived behavioral becomes a positive predictor of Intention to use e-learning. However, Subjective norms found no significant effect on Intention to use e-learning in the Malaysian context. It is due to the COVID-19 emergency that an individual must choose for the e-learning method disregarding their perceptions. Perceived ease of use and Perceived usefulness has a significant positive effect on attitude. These findings offer guidelines to educational institutes for the implementation of the e-learning system during unavoidable circumstances for the sustainable education system.

scholarly journals Youths’ Social Media Adoption: Theoretical Model and Empirical Evidence

2016 ◽  
Vol 11 (2) ◽  
pp. 22 ◽  
Author(s):  
M. Shakaib Akram ◽  
Wafi Albalawi
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
The Social ◽  
Perceived Enjoyment ◽  
Adoption Intention

<p>Social media has become a major source of communication and collaboration between individuals and among groups. The current paper investigates the underlying motives of social media adoption. The research identifies various determinants such as perceived connectedness, perceived enjoyment, perceived usefulness and perceived ease of use as the major influencers of social media adoption intention. Using the sample from Saudi Arabia an online survey is conducted. Structural equation modeling has been used to test the proposed relationships. The results reveal that individuals’ perceived connectedness and perceived enjoyment act as stimuli for their social media adoption intention. Moreover, perceived ease of use and perceived usefulness mediate these stimuli and the individuals’ social media adoption intention. The paper concludes with the recommendations for the academicians and the social media designers/developers.</p>

Factors influencing the behavioral intention to use food delivery apps

2017 ◽  
Vol 45 (9) ◽  
pp. 1461-1473 ◽  
Author(s):  
Eun-Yong Lee ◽  
Soo-Bum Lee ◽  
Yu Jung Jennifer Jeon
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Mobile Apps ◽  
Food Delivery ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Design Quality

We examined the relationships between the determinants that affect customers' use of food delivery apps. Using an extended technology acceptance model, we explored consumers' experiences in purchasing delivery food through mobile apps. We distributed a self-administered questionnaire online and used structural equation modeling to test the hypotheses. We found that user-generated information, firm-generated information, and system quality had a significant effect on perceived usefulness. In addition, system quality and design quality strongly influenced the perceived ease of use, which improved perceived usefulness, and in turn, perceived usefulness and perceived ease of use affected attitude toward the use of mobile apps. Practical implications for the food service industry are discussed.

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.

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.

Combining the TAM and IS Success Models to Validate E-Learning System Satisfaction and Continuance Intention

2014 ◽  
pp. 290-301
Author(s):  
Tung-Cheng Lin
Keyword(s):  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Is Success ◽  
Learning Attitudes ◽  
E Learning

Many e-learning studies have evaluated learning attitudes and behaviors based on TAM. However, a successful E-Learning System (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use according to TAM. This research combines TAM with ISM by introducing system quality, quality of platform information, and course information as an antecedent of perceived usefulness and perceived ease of use. These factors are crucial for understanding users’ intentions to continue their use of ELS. The research model was examined with data collected from 164 practicing students with ELS experiences. The results indicated that system quality, platform information, and course information had a significantly positive effect on users’ satisfaction and their intention to use ELS continuously.

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.

Validating the Satisfaction and Continuance Intention of E-learning Systems

2012 ◽  
Vol 10 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Tung-Cheng Lin ◽  
Ching-Jen Chen
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Learning Attitudes ◽  
E Learning ◽  
Intention To Continue

Many e-learning studies have evaluated learning attitudes and behaviors, based on TAM. However, a successful e-learning system (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use according to TAM. This research combined TAM with ISM by introducing system quality, quality of platform information, and course information as an antecedent of perceived usefulness and perceived ease of use. These factors were crucial for understanding users’ intention to continue their use of ELS. This study investigated 412 students with ELS experiences. The results indicate that system quality, platform information, and course information had significantly related to user satisfaction and their intention to use ELS continuously.

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