An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 2, 2025

The present study explored the determinants influencing students' intentions towards utilizing digital learning technologies (DLTs). It proposes a holistic view model for utilization of by integrating social support theory and "Technology Acceptance Model" (TAM). Data were gathered from 262 students University Ha'il through questionnaire. Two steps in SEM applied data analysis: CFA was employed to develop measurement, conducted analyze relationships between constructs. results revealed that "Educational Support" (EDS) significantly affected "behavior intention" (BI) utilize perceived usefulness (PU) (EDS→PU: β = 0.338, p < 0.05). Furthermore, "Emotional support" (EMS) behavioral intention both "perceived ease use" (PEU) PU (EMS→PEU: 0.635, 0.05; EMS→PU: 0.310, Surprisingly, did not affect technologies' usefulness" (PEU→PU: 0.195, > contributes refined understanding how educational emotional influence receptivity engagement with technologies. Thus, institutions universities should enhance their facilitate successful PEU DLTs. can This provides practical implications could apply achieve usage these

Language: Английский

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Breaking into the black box of consumers’ perceptions on metaverse commerce: An integrated model of UTAUT 2 and dual-factor theory

Asia Pacific Management Review, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

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An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 17, 2024

Abstract Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students’ engagement with AI courses remains a challenge. This study addresses this gap by extending technology acceptance model (TAM) to incorporate cognitive such as intrinsic motivation (AIIM), readiness (AIRD), confidence (AICF), and anxiety (AIAX), alongside human–computer interaction (HCI) elements like user interface (UI), content (C), learner-interface interactivity (LINT) in context of using generative (GenAI) tools. By including these factors, an expanded is presented capture complexity student education. To validate model, 210 Chinese students spanning grades K7 K9 participated 1 month artificial course. Survey data structural equation modeling reveal significant relationships between HCI perceived usefulness (PU) ease use (PEOU). Specifically, AIIM, AIRD, AICF, UI, C, LINT positively influence PU PEOU, while AIAX negatively affects both. Furthermore, PEOU significantly predict attitudes toward curriculum learning. These findings underscore importance considering design implementation education initiatives. providing theoretical foundation practical insights, informs development aids educational institutions businesses evaluating optimizing AI4K12 strategies.

Language: Английский

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Navigating the roadmap to meta-governance adoption

Global Knowledge Memory and Communication, Journal Year: 2024, Volume and Issue: unknown

Published: July 5, 2024

Purpose This study aims to investigate citizens' adoption intention towards meta-government (metaverse-based government) by proposing a dual-perspective technology acceptance model. Design/methodology/approach The validity of the proposed model was established gathering and analysing 533 responses using structural equation modelling (SEM). Findings findings underscore importance perceptions ease use usefulness in fostering adopt meta-government. However, perceived cyber risk switching costs negatively impact these perceptions. On contrary, herd behaviour immersion positively influence usefulness. Originality/value significantly contributes existing literature offering valuable insights into factors that It introduces novel perspective on primary (both enablers barriers) shaping These serve as foundation for scholars, governments policymakers develop effective strategies promoting adoption.

Language: Английский

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Understanding Metaverse Adoption in Education: The Extended UTAUMT Model

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38741 - e38741

Published: Sept. 30, 2024

The metaverse, an immersive virtual environment enabling users to engage with digital experiences, has the potential revolutionize education. However, research pertaining this area is still in its early stages. This study investigates variables that influence acceptance of educational metaverses and intention use them. It also presents expanded model called Unified Theory Acceptance Use Metaverse Technology (UTAUMT) provide guidance educators decision-makers. involved 253 Vietnamese teachers students who had experience selected through purposive sampling. UTAUMT provides a comprehensive framework encompasses various factors, including metaverse performance expectancy (MPE), effort (MEE), social (MSI), hedonic motivation (MHM), price value (MPC), self-efficacy (MSE), facilitating conditions (MFC). These factors were assessed using self-administered questionnaire. findings indicate MEE, MSI, MFC, MSE, MBI have considerable impact on MUB. extended makes theoretical contribution by metaverse-specific elements into technology framework. managerial implications focus integration training users, providing support enhance adoption rate. explores contribute education contributes existing literature technology.

Language: Английский

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Intelligent Data-Driven Task Offloading Framework for Internet of Vehicles Using Edge Computing and Reinforcement Learning

Data & Metadata, Journal Year: 2024, Volume and Issue: 4, P. 521 - 521

Published: Dec. 5, 2024

Introduction: The Internet of Vehicles (IoV) was enabled through innovative developments featuring advanced automotive networking and communication to fulfill the need for real-time applications that are latency-sensitive, such as autonomous driving emergency management. Given servers were much farther away from actual site operation, traditional cloud computing faced huge delays in processing. Mobile Edge Computing (MEC) resolved this challenge by enabling localized data processing, reducing latency enhancing resource utilization.Methods: This study proposed an Efficient Computing-based Task Offloading Framework (EMEC-IoVTOF). framework integrated deep reinforcement learning (DRL) optimize task offloading decisions, focusing on minimizing energy consumption while accounting bandwidth computational constraints. costs calculated using mathematical modeling further optimized Particle Swarm Optimization (PSO). An adaptive inertia weight mechanism implemented avoid local optimization enhance allocation decisions.Result: thus proved effective any reduction efficiently improving overall system performance. DRL MEC together facilitate scalability distribution ensuring robust performance dynamic vehicular environments. Integration with PSO enhances decision-making process makes highly adaptable demands network conditions.Discussion:The findings highlighted potential EMEC-IoVTOF address key challenges IoV systems, including latency, efficiency, utilization. Future research could explore real-world deployment adaptability complex scenarios, validating its reliability.

Language: Английский

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How could entertainment content marketing affect intention to use the metaverse? Empirical findings

International Journal of Information Management Data Insights, Journal Year: 2024, Volume and Issue: 4(2), P. 100258 - 100258

Published: June 8, 2024

Language: Английский

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Journey into meta-commerce: unveiling the driving forces of consumer adoption

Global Knowledge Memory and Communication, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 23, 2024

Purpose This study aims to investigate the determinants of meta-commerce (metaverse commerce) adoption intention from consumer perspective. Design/methodology/approach research conducted a quantitative cross-sectional field survey gather primary data consumers in Jordan. The aimed analyze collected responses 574 participants, and obtained set was subjected rigorous analysis using SmartPLS4 test proposed hypotheses. Findings While perceived herd behavior, innovativeness, ease use, hedonic motivation usefulness positively influence consumers’ intention, cyber risks negatively it. Furthermore, behavior innovativeness affect use perceptions. Originality/value presents significant theoretical contribution by examining consumer’s perspective, addressing gap literature. To best authors’ knowledge, this is one first empirical investigations explore intentions standpoint. it provides novel extension “Technology Acceptance Model” for understanding that captures interplay between enablers (perceived usefulness), barriers risks), intrinsic (hedonic motivation), social factors behavior) personal characteristics (consumer innovativeness), thereby extending previous on effects these meta-commerce.

Language: Английский

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The effectiveness of using blended learning in higher education: students’ perception

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 24, 2025

Language: Английский

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Understanding trust in educational Metaverse: the role of social cognitive theory constructs and perceived risks

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Purpose This study investigates the impact of social cognitive theory (SCT) constructs and perceived risks on university students’ trusting intentions towards Metaverse-based educational platforms in UAE. By examining factors such as self-efficacy, outcome expectations vicarious learning (from SCT), alongside like performance, time, security concerns, this research addresses critical gaps understanding trust dynamics technology. Design/methodology/approach A quantitative survey was conducted with 176 students who experienced a classroom prototype. Data were analyzed using structural equation modeling (SEM) to evaluate relationships between SCT constructs, intentions. Findings The results demonstrate that significantly enhance by fostering self-efficacy providing positive experiences. Conversely, reduce trust, emphasizing need mitigate concerns usability barriers improve adoption. These insights underline dual importance managing promoting psychological readiness among students. Practical implications findings offer actionable guidance for educators, policymakers developers design secure, user-friendly Metaverse align objectives. emphasizes addressing risks, enhancing student engagement enable effective technology adoption education. Originality/value provides novel perspective education integrating risk perceptions, offering comprehensive framework guide successful implementation immersive environments.

Language: Английский

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