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Gen-AI integration in higher education: Predicting intentions using SEM-ANN approach · Study

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ArticleGen-AI integration in higher education: Predicting intentions using SEM-ANN approach

Khushi Jain2024

Article2024

Gen-AI integration in higher education: Predicting intentions using SEM-ANN approach

Khushi Jain · J. Naga Venkata Raghuram

69 citations·0/0 files stored·Education and Information Technologies

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Technology Adoption and User Behaviour Artificial Intelligence in Education Technology-Enhanced Education Studies

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References

2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2011PLS-SEM: Indeed a Silver Bullet 1974An Index of Factorial Simplicity 1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics 2006Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge

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2025How does AI literacy affect individual innovative behavior: the mediating role of psychological need satisfaction, creative self-efficacy, and self-regulated learning 2025Awareness, acceptance, and adoption of Gen-AI by K-12 mathematics teachers: an empirical study integrating TAM and TPB 2024Unveiling the Drivers of AI Integration Among Language Teachers: Integrating UTAUT and AI-TPACK 2025Examining predictors of generative-AI acceptance and usage in academic research: a sequential mixed-methods approach

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Year2024

Typearticle

Published2024-02-21

VenueEducation and Information Technologies

ISSN-L1360-2357

Languageen

Citations69

Files0 public / 0

ShelfTechnology Adoption and User Behaviour

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doi10.1007/s10639-024-12506-4

openalex_workW4391996259

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