Forthcoming Articles

International Journal of Smart Technology and Learning

International Journal of Smart Technology and Learning (IJSMARTTL)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are also listed here. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

International Journal of Smart Technology and Learning (2 papers in press)

Regular Issues

  • Bridging digital skills and employability: the role of cloud accounting knowledge and self-efficacy among commerce students   Order a copy of this article
    by Sweeta Agrawal, Jayashree Jethy 
    Abstract: The rapid adoption of cloud-based accounting systems has transformed skill requirements for commerce graduates, making digital competence and self-efficacy important for employability. Grounded in Social Cognitive Theory, this study examines the influence of cloud accounting knowledge on perceived employability among 210 commerce, accounting, and finance students, focusing on the mediating role of self-efficacy and moderating effect of prior digital exposure. Survey data were analysed using exploratory factor analysis and regression-based mediation and moderation procedures with bootstrapped indirect-effect testing. Results show that cloud accounting knowledge enhances employability directly and indirectly through self-efficacy, indicating partial mediation. Prior digital exposure strengthens the relationship between cloud accounting knowledge and employability. Given the cross-sectional, self-report design, findings are interpreted as preliminary evidence rather than causal proof. The study offers theoretical and practical implications for integrating applied cloud accounting training with foundational digital literacy in commerce education.
    Keywords: cloud accounting knowledge; self-efficacy; perceived employability; prior digital exposure; digital skills; commerce education; cloud accounting; digital employability; accounting education; Industry 4.0.
    DOI: 10.1504/IJSMARTTL.2027.10081967
     
  • Unravelling the drivers of virtual reality adoption in university mathematics education   Order a copy of this article
    by Zongran Wang, Yujing Hou, Michael Agyeman Adarkwa, Haozhe Jiang, Suting Chen 
    Abstract: In the generative AI era, unravelling the drivers of virtual reality (VR) adoption in mathematics education is an important area of investigation. Therefore, this study adapted and validated the theoretical exploratory model to examine higher education students adoption of VR to learn mathematics through the responses of 596 students studying at universities in Shanghai. Our adapted model combined the theory of immersion, interaction and imagination (III) into the TAM variables of PU, PEU and ITU. The adapted model was evaluated through structural equation modelling to ensure its validity and performance for measuring students adoption of VR to learn mathematics. We confirmed that our adapted model can explain 91% variability of students adoption of VR to learn mathematics in higher education through several significant relationships among the theory of III and TAM variables. Notably, participants showed greater intention to learn mathematics through VR compared to the adapted model. This finding suggests numerous implications for further study.
    Keywords: virtual reality; mathematics education; higher education; theoretical exploratory model; structural equation modelling.
    DOI: 10.1504/IJSMARTTL.2027.10081968