Perceived compatibility and students’ intention to adopt digital technologies in Islamic education institutions DOI Creative Commons
Mussa Saidi Abubakari, Gamal Abdul Nasir Zakaria, Juraidah Musa

et al.

Cogent Education, Journal Year: 2024, Volume and Issue: 11(1)

Published: Nov. 19, 2024

Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical in Islamic educational context that are scarcely addressed literature perceived compatibility (PIC) self-efficacy (DSE). Therefore, study aspires to address existing gaps by examining determinants of intention accept DT education integrating a contextual factor TAM. We used quantitative survey acquire data from university students Brunei, sample 160 cases was obtained through Google Forms. Using SEM-PLS (structural-equation-modelling-partial least squares) approach, analysed ADANCO software test study's seven hypotheses. The were all hypotheses significantly supported, significant effects both DSE PIC, besides two TAM's core variables, on learners' utilise for learning purposes. explained 64.3% behavioural intention. findings' implications our provided theoretical advancement pragmatic considerations effective integration DTs religious non-religious institutes.

Language: Английский

Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care DOI Creative Commons
Kaila Witkowski, Ratna Okhai, Stephen Neely

et al.

BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)

Published: June 22, 2024

In an effort to improve the quality of medical care, philosophy patient-centered care has become integrated into almost every aspect community. Despite its widespread acceptance, among patients and practitioners, there are concerns that rapid advancements in artificial intelligence may threaten elements such as personal relationships with providers patient-driven choices. This study explores extent which confident comfortable use these technologies when it comes their own individual identifies areas align or care.

Language: Английский

Citations

18
Factors Determining the Acceptance of E-Wallet among Gen Z from the Lens of the Extended Technology Acceptance Model DOI Open Access
Mohd Shafie Rosli, Nor Shela Saleh,

Azlah Md. Ali

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(7), P. 5752 - 5752

Published: March 25, 2023

E-wallets are one of the breakthroughs brought forth by evolution FinTech, which has been accentuated global outbreak COVID-19. Therefore, it is critical to comprehend factor e-wallet acceptance. As this technology advances, substantial knowledge and research gaps become apparent. Previous studies on acceptance have overlooked importance motivation self-efficacy. There a dearth focus certain age groups, such as Gen Z, currently trendsetter new technologies. This study aims close regarding lack toward motivation, self-efficacy in understanding combining Technology Acceptance Model (TAM) with Self-Determination Theory (SDT), Self-Efficacy (SE), Digital Media (DMSE) fully understand factors influencing among using 233 samples test 16 hypotheses derived from identified gaps. External Regulation (ER), SE, DMSE determinants acceptance, according Structural Equation analysis conducted. Mediation reveals that Attitude Use (AT) full mediator Perceived Usefulness (PU) Ease (PEU). The quintessential outcome E-Wallet significant for FinTech industries looking strategically roll out initiatives well point exploration numerous future academic development.

Language: Английский

Citations

27
Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile DOI Creative Commons
Cristian Vidal-Silva, Aurora Sánchez-Ortíz, Jorge Caldera Serrano

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e27067 - e27067

Published: Feb. 29, 2024

Medicine is a discipline based on and nurtured by scientific research technological development. The use of health services supported information technology increasing worldwide, Latin America no exception. Factors such as needing more specialists in peripheral cities, large geographic areas, socio-cultural aspects limit the possibility receiving timely quality medical care services. Information Technology (IT) for purposes, e-health, cost-effective solution equitable access to healthcare optimization rising associated costs. As an e-health service, telemedicine facilitates mediates distance communication between patient staff. Even though at beginning development telemedicine, it would have relevant impact, given socioeconomic conditions population this part world. Drawing extended Unified Theory Acceptance Use (UTAUT2) theory, we developed theoretical model identify latent factors influencing public acceptance examined their interrelationships. A survey questionnaire was designed administered 391 residents Antofagasta, mine region Chile. After that, structural equation modeling employed analyze data. results reveal that UTAUT2 factors' performance expectancy, social influence, price value significantly impact intention (R2 = 0.693). Additionally, presented good fit. This study enriches existing offers insights into understanding managing Chilean sector.

Language: Английский

Citations

9
Ageing in the digital age: what drives virtual reality technology adoption among older adults? DOI
Siu Shing Man, Junyu Wang, Alan H. S. Chan

et al.

Ergonomics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 6, 2025

In a rapidly ageing population, virtual reality (VR) technology is emerging as useful tool to meet the increasing demands for medical health, social interaction and entertainment older adults. This study explores factors influencing acceptance of VR among adults boost their use. The model was founded on incorporated personal such self-efficacy (SE), anxiety (TA), perceived enjoyment (PE) self-satisfaction (SS). Results revealed that SE, PE SS positively influence intention use technology, while TA has negative impact.

Language: Английский

Citations

1
Clinical virtual simulation: predictors of user acceptance in nursing education DOI Creative Commons
José Miguel Padilha, Patrí­cio Costa, Paulino Sousa

et al.

BMC Medical Education, Journal Year: 2024, Volume and Issue: 24(1)

Published: March 16, 2024

Using virtual patients integrated in simulators expands students' training opportunities healthcare. However, little is known about the usability perceived by students and factors/determinants that predict acceptance use of clinical simulation nursing education.

Language: Английский

Citations

6
Examining the Relationship Between the L2 Motivational Self System and Technology Acceptance Model Post ChatGPT Introduction and Utilization DOI Creative Commons
Jerry Huang, Atsushi Mizumoto

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100302 - 100302

Published: Sept. 1, 2024

Language: Английский

Citations

6
Perspectives of University Educators Regarding ChatGPT: A Validation Study Based on the Technology Acceptance Model DOI Creative Commons
Muna Barakat, Nesreen A. Salim, Malik Sallam

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 6, 2024

Abstract Background ChatGPT is a generative artificial intelligence (AI) model that has promising potential in higher education. Nevertheless, the integration of into education requires assessment university educators’ perspectives regarding this novel technology. This study aimed to develop and validate survey instrument specifically tailored assess usability acceptability among educators. Methods Development items was based on Technology Acceptance Model (TAM) followed by expert content validity pilot testing improve phrasing items. The involved demographic variables addition total 40 TAM-based distributed educators Jordan two phases: February 2023–April 2023 October 2023. self-administered via convenience approach contacts authors. Assessment construct done through exploratory factor analysis (EFA) principal component (PCA), while internal consistency inferred constructs checked using Cronbach’s α. Results final sample comprised 236 educators, with 72% who heard before (n = 169), whom 76 have already used (45%). EFA showed significant Bartlett’s test sphericity (P < .001) adequate Kaiser-Meyer-Olkin measure (KMO .698). six explained cumulative 64% variance attitude ChatGPT. These 31 classified into: (1) “Effectiveness” (α .845), (2) “Anxiety” .862), (3) “Technology readiness .885), (4) Perceived usefulness .848), (5) Social influence .803), (6) risk .796). Conclusions identified key could be exploited for comprehensive understanding educators' toward herein termed “Ed-TAME-ChatGPT” positive influencing factors such as perceived effectiveness, technology, social negative including anxiety risk. developed can provide robust framework further investigation given nearly inevitable AI

Language: Английский

Citations

5
Navigating Technology Adoption/Acceptance Models DOI Open Access
Hamed Taherdoost, Nachaat Mohamed, Mitra Madanchian

et al.

Procedia Computer Science, Journal Year: 2024, Volume and Issue: 237, P. 833 - 840

Published: Jan. 1, 2024

The accelerated rate of technological progress has significantly altered how individuals and or-ganizations interact with technology. Understanding the process technology adoption be-come crucial for remaining competitive in a world that is becoming increasingly digital. This entry provides an overview numerous models, shedding light on factors influence new technologies by organizations. examines Technology Acceptance Model (TAM) examined, emphasis perceived utility usability. Focusing performance expectation, effort social influence, facilitat-ing conditions, Unified Theory Use (UTAUT) presented. In addition, Technology-Organization-Environment (TOE) Framework discussed, taking in-to account three decisions. Innovation Adoption Lifecycle investigated, characteristics motivations various adopter categories highlighted. Individual, organizational, external are also examined. concludes addressing challenges limitations existing models highlighting importance research influencing future soci-ety business.

Language: Английский

Citations

5
Modeling Teachers’ Acceptance of Generative Artificial Intelligence Use in Higher Education: The Role of AI Literacy, Intelligent TPACK, and Perceived Trust DOI Creative Commons
Ahlam Mohammed Al-Abdullatif

Education Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 1209 - 1209

Published: Nov. 3, 2024

This study delves into the factors that drive teachers’ adoption of generative artificial intelligence (GenAI) technologies in higher education. Anchored by technology acceptance model (TAM), research expands its inquiry integrating constructs intelligent technological pedagogical content knowledge (TPACK), AI literacy, and perceived trust. Data were gathered from a sample 237 university teachers through structured questionnaire. The employed structural equation modeling (SEM) to determine relationships among constructs. results revealed both literacy ease most influential affecting GenAI. Notably, TPACK trust found be pivotal mediators this relationship. findings underscore importance fostering adapting frameworks better equip educators age AI. Furthermore, there is clear need for targeted professional development initiatives focusing on practical training enhances literacy. These programs should provide hands-on experience with GenAI tools, boosting educators’ confidence ability integrate them their teaching practices.

Language: Английский

Citations

5
Self-Determination Theory and Online Learning in University: Advancements, Future Direction and Research Gaps DOI Open Access
Mohd Shafie Rosli, Nor Shela Saleh,

Azlah Md. Ali

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(21), P. 14655 - 14655

Published: Nov. 7, 2022

Self-Determination Theory (SDT) has been studied to comprehend human motivation, particularly in education. Numerous studies have conducted at universities regarding online learning as a technology mitigate the effects of COVID-19. On basis these expansions, however, there is knowledge gap what constitutes advancement, future direction, and research gaps SDT university learning. This new systematic literature review analyzed 49 articles using PRISMA bridge gap. Currently, does not extensively integrate other theories models, but trend toward acceptance models cognitive theories. Future should incorporate additional factors such intrinsic external regulation, identified amotivation addition autonomy, competence, relatedness. As most samples students, involving lecturers mixed groups suggested. The anticipated be dominated by quantitative research, leaving qualitative methods points exploration. sheds light on advancements, university-level It could serve for within context

Language: Английский

Citations

21