Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM

International Journal of Data and Network Science, Год журнала: 2021, Номер unknown, С. 311 - 320

Опубликована: Янв. 1, 2021

Technology-based education is the modern-day medium that widely being used by teachers and their students to exchange information over applications based on Information Communication Technology (ICT) such as Google Glass. There still resistance shown a few universities around globe when it comes shifting online mode of education. While have shifted Glass, others are yet do so. We base this study explore Glass Adoption in Gulf area. thought introducing all pros presents table might get attention considering using respective institutes. This paper structure framework depicting association between TAM other Influential factors. All all, investigation analyzes incorporation Acceptance Model (TAM) with major features associated method instructing learning facilitator, functionality, trust privacy improve correspondence among facilitators during process. A total 420 questionnaires were collected from various universities. The data was gathered through surveys employed for analysis research model Partial least squares-structural equation modeling (PLS-SEM) machine models. outcome showed factor functionality goes hand perceived usefulness ease use Both Factors, Perceived significant impact adoption. implies Trust adoption also offers practical implications outcomes future research.

Язык: Английский

---

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

Informatics, Год журнала: 2021, Номер 8(4), С. 83 - 83

Опубликована: Ноя. 24, 2021

The purpose of this study is to investigate students’ intention continue using online learning platforms during face-to-face traditional classes in a way that parallel their usage virtual (during the pandemic). This investigation based on conceptual model uses newly used external factors addition technology acceptance (TAM) contrasts; hence, it takes into consideration users’ satisfaction, factor information richness (IR) and quality educational system disseminated. participants were 768 university students who have experienced teaching environments both pandemic. A structural equation modelling (SEM) test was conducted analyse independent variables, including situation awareness (SA), perceived ease use, usefulness, IR, education quality. An questionnaire explore perceptions use accessibly environment. results showed (a) prefer higher level content richness, be able implement three dimensions (perception, comprehension projection); (b) there significant effects TAM constructs satisfaction acceptance; (c) are favour platform characterised by high (d) with more positive attitude willingness system.

Язык: Английский

---

Internet of Things Connected Wireless Sensor Networks for Smart Cities

Studies in computational intelligence, Год журнала: 2023, Номер unknown, С. 1953 - 1968

Опубликована: Янв. 1, 2023

Язык: Английский

---

Perspectives of Online Education in Pakistan: Post-covid Scenario

Studies in computational intelligence, Год журнала: 2023, Номер unknown, С. 519 - 550

Опубликована: Янв. 1, 2023

Язык: Английский

---

Educational Supply Chain Management: A View on Professional Development Success in Malaysia

Studies in computational intelligence, Год журнала: 2023, Номер unknown, С. 2473 - 2490

Опубликована: Янв. 1, 2023

Язык: Английский

---

IT Governance and Control: Mitigation and Disaster Preparedness of Organizations in the UAE

Studies in computational intelligence, Год журнала: 2023, Номер unknown, С. 661 - 677

Опубликована: Янв. 1, 2023

Язык: Английский

---

Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

Data, Год журнала: 2021, Номер 6(5), С. 49 - 49

Опубликована: Май 12, 2021

The fear of vaccines has led to population rejection due various reasons. Students have had their own inquiries towards the effectiveness vaccination, which leads vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance e-learning platforms. Therefore, this research attempts explore post-acceptance platforms based on a conceptual model that variables. Each variable contributes differently platform. investigates moderating role among students. Thus, study aims at exploring perceptions about where functions as moderator. current depends an online questionnaire is composed 29 items. total number respondents 630. collected data was implemented test and proposed constructs hypotheses depending Smart PLS Software. Fear significant impact platforms, it strong mediator in model. findings indicate positive effect variables: perceived ease use usefulness, daily routine, critical mass self-efficiency. implication gives deep insight take effective steps reducing level supporting confidence educators, teachers students who will, turn, society whole.

Язык: Английский

---

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

Sustainability, Год журнала: 2022, Номер 14(18), С. 11389 - 11389

Опубликована: Сен. 10, 2022

Over the past three decades, Technology Acceptance model (TAM) has garnered considerable attention in higher education. COVID-19 boosted development of TAM as multiple studies were rapidly undertaken during pandemic. This, however, created a gap our current understanding directions and trends advancement. The purpose this study is to obtain insight into advancement throughout It would assist researchers comprehending direction education, such gaining an prevalent external variables for TAM, statistical analysis employed, research methodologies, technologies studied, geographic location conducted. Finally, gaps future are presented. A systematic review utilizing PRISMA was conducted on 104 sampled publications. found that self-efficacy, subjective norms, experience, enjoyment most frequently used while internal motivation received minimal attention. existing have focused mainly student samples, so further investigation needed lecturers, education personnel, mixed groups. Further also required qualitative methods, with partial least square structural equation currently dominating analysis. Future 5G, AI, cloud computing, augmented reality, virtual BYOD represent new TAM-related gaps. majority been Asian countries, China those southeast Asia. This literature provides trend sustainability pandemic, identified gaps, recommendations directions. These findings serve reference by enhancing foundation established previous reviews thereby facilitating model’s ongoing expansion.

Язык: Английский

---

Mobile Learning in Higher Education: A Systematic Literature Review

Sustainability, Год журнала: 2023, Номер 15(18), С. 13566 - 13566

Опубликована: Сен. 11, 2023

Mobile learning (M-Learning) has become a popular and effective method of education that leverages the ubiquity mobile devices. M-Learning digitally transformed process teaching learning. It tremendous potential to empower all sections society through training. This study presents systematic literature review M-Learning. The articles were retrieved from Scopus Web Science databases. After applying inclusion exclusion criteria, final selection 161 published between 2016 2022 was included in review. To analyze articles, researchers employed TCCM (Theory, Context, Characteristics, Methods) framework, which facilitated addressing research questions. identified various theories, such as behaviorism, constructivism, cognitivism, situated learning, problem-based context awareness socio-cultural theory, collaborative conversational lifelong informal activity connectivism, navigation, location-based are used support guide implementation In terms context, developing countries contributed 70.8% studies, while developed 29.1%. Further, majority 93%, involved students followed by faculty members only two studies staff higher management. A total 19 unique characteristic factors have been identified, personal, intention, attitude, usage, utility, ease use, learnability, social, technological, pedagogical, anxiety, enjoyment, accessibility, knowledge, experience, trust, price, habit. quantitative design 90% mixed methods 7% qualitative 3% studies. this article synthesizes previous findings highlights gaps for future research. Overall, contributes understanding advancement valuable educational platform.

Язык: Английский

---

Understanding Antecedents of Learning Management System Usage among University Lecturers Using an Integrated TAM-TOE Model

Sustainability, Год журнала: 2023, Номер 15(3), С. 1885 - 1885

Опубликована: Янв. 18, 2023

Even after the COVID-19 pandemic, use of learning management system (LMS) is still low among university lecturers in Kurdistan Region Iraq. The objective current study to understand factors influencing LMS usage universities using indicators from Technology Acceptance Model (TAM) and Technology–Organisation–Environment (TOE) framework. This examined quality, service information technical support, government policies as essential variables for affecting perceived ease (PEOU) usefulness (PU) mediating variables. To reach aim this study, conceptual model was proposed based on TAM integrated with external adapted TOE Quantitative research a questionnaire conducted sample 393 lecturers. used structural equation modelling technique, results were analysed by SmartPLS 4.0 software. findings show that quality significantly correlates PU PEOU. Service policy significant relationship either or However, support shows an insignificant Inside itself, PEOU correlate usage. Finally, demonstrated role POEU mediators between These have implications practice guide leaders policymakers understanding must be addressed.

Язык: Английский

---