User Readiness and AI Integration as Drivers of Smart Nano Learning in Mobile Environments.

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Bibliographic Details
Title:	User Readiness and AI Integration as Drivers of Smart Nano Learning in Mobile Environments.
Authors:	Chanyawudhiwan, Gan¹, Mingsiritham, Kemmanat¹ kemmanat.min@stou.ac.th
Source:	International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 10, p30-46. 17p.
Subjects:	Learning readiness, Artificial intelligence, Continuing education, Mobile learning, Trust, Individualized instruction, Microlearning, Educational technology
Abstract:	Lifelong learning has been undergoing a significant transformation driven by the development of digital learning platforms and the leveraging of artificial intelligence (AI) to personalize learning experiences. This study aims to examine the factors influencing the readiness of smart nano-learning platforms to support lifelong learning, with particular emphasis on user readiness, trust, and AI support as key determinants. Additional contributing factors considered include content quality, user experience, learning environment, and data systems and reporting. A quantitative research design was employed, with 378 undergraduate students using a validated and reliable questionnaire. The data were analyzed using structural equation modeling (SEM). The results indicate that user readiness, trust, and AI have significant direct effects on the smart nano-learning platform's readiness. The findings suggest that the effective design of platforms for lifelong learning must integrate both human-centered factors and intelligent technological support. In particular, strengthening learners' readiness and trust, alongside the strategic use of AI to enable scalable, personalized learning, is essential for developing sustainable, effective smart nano-learning platforms for real-world lifelong learning contexts. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Lifelong learning has been undergoing a significant transformation driven by the development of digital learning platforms and the leveraging of artificial intelligence (AI) to personalize learning experiences. This study aims to examine the factors influencing the readiness of smart nano-learning platforms to support lifelong learning, with particular emphasis on user readiness, trust, and AI support as key determinants. Additional contributing factors considered include content quality, user experience, learning environment, and data systems and reporting. A quantitative research design was employed, with 378 undergraduate students using a validated and reliable questionnaire. The data were analyzed using structural equation modeling (SEM). The results indicate that user readiness, trust, and AI have significant direct effects on the smart nano-learning platform's readiness. The findings suggest that the effective design of platforms for lifelong learning must integrate both human-centered factors and intelligent technological support. In particular, strengthening learners' readiness and trust, alongside the strategic use of AI to enable scalable, personalized learning, is essential for developing sustainable, effective smart nano-learning platforms for real-world lifelong learning contexts. [ABSTRACT FROM AUTHOR]
ISSN:	18657923
DOI:	10.3991/ijim.v20i10.60759