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

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 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

Язык: Английский

Exploring User Behavioral Intentions and Their Relationship With AI Design Tools: A Future Outlook on Intelligent Design DOI Creative Commons
Ma Hui, N Li

IEEE Access, Год журнала: 2024, Номер 12, С. 149192 - 149205

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

6
Analyzing Trends: A Bibliometric Study of Administrative Law and Forensic Accounting in the Digital Age DOI Creative Commons
Abdallah Kalaf AL-RAGGAD, Mishael Al-Raggad

Heliyon, Год журнала: 2024, Номер unknown, С. e37462 - e37462

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

6
The Impact of Artificial Intelligence Marketing on E-Commerce Sales DOI Creative Commons
Mitra Madanchian

Systems, Год журнала: 2024, Номер 12(10), С. 429 - 429

Опубликована: Окт. 12, 2024

This review explores the influence of AI marketing on e-commerce sales, examining how AI-driven strategies affect key metrics such as customer acquisition and conversion rates. Given growing importance in online retail, this paper employs a critical methodology, analyzing 50 documents from Scopus database. The analysis reveals that tools like chatbots, personalization engines, predictive analytics significantly enhance performance. study provides practical theoretical contributions, offering recommendations for businesses suggesting future research directions.

Язык: Английский

Процитировано

6
Effects Of Perceived Usefulness And Perceived Ease Of Use For Driving Purchase Intention DOI Open Access

Nevynda Diella Pratista,

Endy Gunanto Marsasi

Jurnal Ekonomi, Год журнала: 2024, Номер 28(3), С. 488 - 509

Опубликована: Янв. 4, 2024

The purpose of this research is to look at how several factors, including quantity, quality arguments, source credibility, perceived usability and utility, attitude toward buying, brands, intention buy, affect Generation Z. primary concept used in the Technology Acceptance Model (TAM) idea. data collection technique uses non-probability sampling with a purposive method. There were 243 people included sample for investigation. statistical packages IBM SPSS 27 AMOS Graphic 24 quantitative study. Perceived usefulness ease use not shown be positively significantly related study's hypothesis results. Attitude purchase impacted by utility. Additionally, there favorable statistically significant correlation between buy brand attitude, according analysis.

Язык: Английский

Процитировано

5
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

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 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

Язык: Английский

Процитировано

5