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March 28, 2026Asian Education and Development Studies0 citations

Integrating metaverse-enabled artificial intelligence and large language models in accounting education: an applied mixed-methods study

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NAN. AbhishekKNKeyrukumar M. NayakMDM.S. Divyashree

Key Points

  • This study aims to examine the impact of metaverse-enabled AI and large language models on accounting education and student preparedness.
  • Adopted a mixed-methods research design.
  • Used structural equation modeling to analyze quantitative data.
  • Conducted qualitative interviews with educators and industry professionals to gather insights.
  • Examined relationships between technological integration, learning outcomes, and mediating variables.
  • Found significant positive relationships between technological integration and student learning outcomes.
  • Skill development and engagement were key mediators in achieving positive outcomes.
  • Institutional support enhanced the effectiveness of AI adoption in education.
  • Qualitative findings reinforced quantitative results, emphasizing the importance of immersive learning.

Abstract

Purpose The rapid integration of artificial intelligence (AI) and large language models (LLMs) into accounting practice has intensified concerns about the adequacy of traditional accounting curricula in preparing graduates for an AI-augmented profession. Responding to this challenge, the present study examines how metaverse-enabled AI and LLM-based learning environments influence skill development, learner engagement and professional readiness in accounting education, with the aim of identifying pedagogical and institutional mechanisms through which these technologies can meaningfully enhance graduate preparedness. Design/methodology/approach The study adopts a mixed-methods research design. Quantitative data were analysed using structural equation modelling (SEM) to examine relationships between technological and pedagogical integration, learning outcomes and mediating variables. Qualitative insights were obtained through discourse analysis of semi-structured interviews with accounting educators and industry professionals to contextualize the empirical findings. Findings The results indicate significant positive relationships between technological and pedagogical integration and student learning outcomes. These relationships are mediated by skill development and practical application as well as engagement and knowledge retention. Institutional support plays a moderating role, strengthening the effectiveness of metaverse-enabled AI adoption in accounting education. Qualitative findings reinforce the quantitative results, highlighting the applied value of immersive and AI-supported learning in bridging theory–practice gaps. Practical implications The findings offer actionable insights for higher education institutions, curriculum designers and faculty members seeking to incorporate AI and immersive technologies into accounting education. Institutional readiness, faculty capability and pedagogical alignment are identified as critical success factors. Originality/value This study contributes to applied higher education research by empirically extending the technology acceptance model and social cognitive theory in the context of metaverse-enabled accounting education, providing evidence-based guidance for workforce-oriented curriculum transformation.

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Cite This Study

Abhishek et al. (2026) studied this question.

synapsesocial.com/papers/69c772058bbfbc51511e22e0https://doi.org/10.1108/aeds-01-2026-0051
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