User Readiness and AI Integration as Drivers of Smart Nano Learning in Mobile Environments.
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| 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] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194196188 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: User Readiness and AI Integration as Drivers of Smart Nano Learning in Mobile Environments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chanyawudhiwan%2C+Gan%22">Chanyawudhiwan, Gan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mingsiritham%2C+Kemmanat%22">Mingsiritham, Kemmanat</searchLink><relatesTo>1</relatesTo><i> kemmanat.min@stou.ac.th</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 10, p30-46. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Learning+readiness%22">Learning readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Continuing+education%22">Continuing education</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Microlearning%22">Microlearning</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194196188 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijim.v20i10.60759 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 30 Subjects: – SubjectFull: Learning readiness Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Continuing education Type: general – SubjectFull: Mobile learning Type: general – SubjectFull: Trust Type: general – SubjectFull: Individualized instruction Type: general – SubjectFull: Microlearning Type: general – SubjectFull: Educational technology Type: general Titles: – TitleFull: User Readiness and AI Integration as Drivers of Smart Nano Learning in Mobile Environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chanyawudhiwan, Gan – PersonEntity: Name: NameFull: Mingsiritham, Kemmanat IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
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