The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics

Frontiers in Psychology, Год журнала: 2022, Номер 13

Опубликована: Окт. 11, 2022

The declaration of the COVID-19 pandemic forced humanity to rethink how we teach and learn. metaverse, a 3D digital space mixed with real world virtual world, has been heralded as trend future education great potential. However, an emerging item, rarely did existing study discuss metaverse from perspective education. In this paper, first introduce visions including its origin, definitions, shared features. Then, in is clearly defined, detailed framework proposed, along in-depth discussions addition, four potential applications are described reasons cases: blended learning, language competence-based education, inclusive Moreover, challenges for educational purposes also presented. Finally, range research topics related proposed studies. We hope that, via researchers both computer science technology backgrounds could have clear vision provide stepping stone expect more interested topic can commence their studies inspired by paper.

Язык: Английский

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Revolutionizing education: Artificial intelligence empowered learning in higher education

Cogent Education, Год журнала: 2023, Номер 11(1)

Опубликована: Дек. 16, 2023

Global businesses are actively embracing Industry 4.0 and digital transformation. Simultaneously, the education sector is leveraging tools to foster personalized learning equity. Universities transcending borders students becoming increasingly global have opened new frontiers through use of artificial intelligence (AI)-based in education. Since role AI inevitable future education, current research aims identify level awareness faculty members on applicability adoption intelligence. The study also intended discover how enhanced their experience impacted degree work engagement teachers higher A cluster multi-stage sampling method was employed select 250 from QS (Quacquarelli Symonds) ranked institutions operating hybrid modes. Utilizing a quantitative approach structural equation model, factors influencing this context were explored. findings revealed that implementation led evolution robust evaluation assessment methods, resulting heightened levels. identified perceived risk, performance expectancy, play significant roles within system mediating variables, specifically attitude, behavior.

Язык: Английский

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Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator

The International Journal of Management Education, Год журнала: 2023, Номер 21(3), С. 100883 - 100883

Опубликована: Окт. 14, 2023

Язык: Английский

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Factors influencing pre-service special education teachers’ intention toward AI in education: Digital literacy, teacher self-efficacy, perceived ease of use, and perceived usefulness

Heliyon, Год журнала: 2024, Номер 10(14), С. e34894 - e34894

Опубликована: Июль 1, 2024

The use of artificial intelligence in education (AIEd) has become increasingly significant globally. In China, there is a lack research examining the behavioral intention toward AIEd among pre-service special (SPED) teachers terms digital literacy and teacher self-efficacy. Building on technology acceptance model, our study evaluated aspects influencing teachers' AI education. Data was gathered from 274 SPED studying at Chinese public normal university analyzed using structural equation modeling (SEM). results show that associated with perceived usefulness ease AIEd, which influences to AIEd. Additionally, significantly impacts self-efficacy teachers. Given these results, designers should comprehend effectiveness usability for fostering formation. Simultaneously, educational programs identify key content activities training be developed, educators attempt execute relevant enhance

Язык: Английский

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Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the Students

IEEE Access, Год журнала: 2022, Номер 10, С. 125666 - 125678

Опубликована: Янв. 1, 2022

Technology adoption is accepting, integrating, and using the latest innovative technologies in society. Artificial intelligence (AI) robotics are changing face of industrial service sectors. There a need to change traditional way teaching by introducing methods. This study aims measure intention adopting AI-based robots educational system Indian universities. uses three theories technology acceptance model, theory planned behaviour, readiness index. Thirteen hypotheses proposed for this study. The teachers students survey also measures users' attitudes impact on their intention. Nine got accepted, four rejected. will benefit university administration as they understand importance applications. These be helpful that both favours process.

Язык: Английский

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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

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Understanding perceptions of academics toward technology acceptance in accounting education

Heliyon, Год журнала: 2023, Номер 9(1), С. e13141 - e13141

Опубликована: Янв. 1, 2023

Utilizing technology acceptance model (TAM), this paper investigated perceptions of academics at Yemeni universities toward the intention to adopt and integrate into accounting education. This has yet be widely validated in less developed countries (LDCs) such as Yemen. Thus, there is a need promote its cross-cultural validity. An extension TAM been employed by considering not only perceived usefulness ease usage but also social influence self-efficiency. The hypotheses were tested using SmartPLS on sample 138 academics. results show that proposed expanded could predict context education Yemen, nation. exhibits interpreted 59.4% variance behavioral IT usage. Furthermore, paths demonstrated usefulness, usage, attitude, self-efficiency all significant determining intention. However, had shown any impact Academics' adoption integration are essential implementing technology-related innovations. Therefore, would helpful policymaking Yemen other similar countries.

Язык: Английский

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Teacher-reported instructional quality in the context of technology-enhanced teaching: The role of teachers’ digital competence-related beliefs in empowering learners

Computers & Education, Год журнала: 2023, Номер 198, С. 104761 - 104761

Опубликована: Фев. 20, 2023

Teachers' competence-related beliefs are crucial in determining teachers' professional competence and instructional quality. However, the context of technology-enhanced teaching, studies regarding beliefs, specifically dimensions their relations to quality, limited. Against this backdrop, purpose present study is twofold: The first test factorial structure a measure that assesses dimension empowering learners with its subdimensions differentiation actively engaging based on European Framework for Digital Competence Educators (DigCompEdu). second examine between reported use digital technologies enhance classroom management, cognitive activation, supportive climate. Based data from 145 teachers (73.1% female), both were analyzed using various approaches structural equation modeling. results supported bifactor confirmatory factor analysis model general defined as well two representing learners. positively related teacher-reported Understanding about quality teaching relevant teacher education address learners' diverse learning needs, promote active creative engagement.

Язык: Английский

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Analysis of E-Learning System Use Using Combined TAM and ECT Factors

Sustainability, Год журнала: 2023, Номер 15(14), С. 11100 - 11100

Опубликована: Июль 16, 2023

The use of e-learning systems has become widespread in higher education institutions Oman. However, understanding factors that influence student acceptance and usage these is lacking. This study combined the Technology Acceptance Model (TAM) Expectation–Confirmation Theory (ECT) to examine by students Omani HEIs. A survey was conducted with 220 from Al-Buraimi University College Oman collect data on perceived usefulness, ease use, behavioral intention, system use. model created merging eight interactions between TAM, ECT, seven variables. results showed usefulness were significant predictors students’ intention systems, had a direct effect actual systems. These findings provide valuable insights for designers, developers, educators similar contexts design implement meet needs expectations.

Язык: Английский

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Technology acceptance research: Meta-analysis

Journal of Information Science, Год журнала: 2023, Номер unknown

Опубликована: Авг. 10, 2023

Rapid digitalisation has resulted in a literature about technology acceptance that is ever increasing size, naturally creating debates the developments field and their implications. Given size of range factors, theories applications considered, this article reviewed relevant using meta-analytical approach. The objective review was twofold: (a) to provide comprehensive analysis factors contributing investigate effects, depending on theoretical underpinnings, (b) explore conditions explaining variance effects predictors time-, application- journal-wise. This analysed data from 693 papers. A total 21 independent having differential attitude, intention use behaviour were found. different frameworks they related to. consistency role suggested there no longitudinal change effect sizes. However, significant found when comparing across research journals which papers published. publication bias demonstrated tendency publish studies with results, although evidence p-value manipulation.

Язык: Английский

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