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Artificial Intelligence (AI) is increasingly transforming teaching and learning in accounting education. While AI technologies offer opportunities to enhance learning outcomes, academic performance is also influenced by broader educational factors such as teacher competence, institutional support, curriculum design, and student engagement. This study investigates the role of AI and educational factors in shaping academic performance in accounting education through a systematic literature review of studies published between 2020 and 2025. Following the PRISMA 2020 guidelines, a structured search of major academic databases yielded 168 initial records. After screening and eligibility assessment, 28 studies were retained for final analysis. The review synthesizes empirical evidence on AI applications in accounting education and identifies key factors influencing student performance. The study is grounded in Human Capital Theory and Social Cognitive Theory, which provide insights into how technological and educational investments influence learning outcomes. The findings reveal that AI technologies such as intelligent tutoring systems, generative AI tools, predictive analytics, and automated assessment platforms enhance academic performance through personalized learning and data-driven feedback. However, the effectiveness of these technologies depends on teacher digital competence, student motivation, curriculum alignment, and institutional support. The study proposes an integrated conceptual framework linking AI adoption and educational factors to academic performance in accounting education. The findings provide implications for educators, policymakers, and curriculum developers seeking to improve accounting education in the digital era.

The rapid evolution of digital technologies necessitates a transformative approach to accounting education, particularly in developing countries. Building on Mishra and Koehler’s (2006) foundational assertion that there is no universally accepted method for integrating technology into the educational curricula, this study proposes a TPACK-Bloom’s Taxonomy framework to articulate how technology enhances learning in accounting education. TPACK (Technological Pedagogical Content Knowledge) offers a multidimensional lens for aligning technological tools with pedagogical strategies and disciplinary content, ensuring that emerging technologies such as artificial intelligence and data analytics are contextually and instructionally relevant. Bloom’s Taxonomy complements this by structuring cognitive development across six hierarchical levels, ranging from remembering to creating, within technology-enhanced learning environments. Together, these two frameworks provide a versatile tool for designing curriculum interventions that foster digital literacy, critical thinking, and professional competence. This study makes three key contributions to the literature. First, it bridges the gap between technology adoption and pedagogical effectiveness by linking digital tools to cognitive learning outcomes. Second, it contributes to human capital development by promoting the integration of technical, cognitive, and digital competencies. Third, it supports organisational transformation by offering a practical, scalable approach to technology-enhanced learning in resource-constrained contexts.

This study examines the influence of high school accounting instruction on the academic performance of first-year financial accounting students at a rural comprehensive university. In the context of South African higher education, students frequently gain admission to accounting diploma or degree programs without prior secondary school accounting instruction, prompting questions regarding the impact of previous accounting knowledge on university performance. Current research presents inconclusive findings, with certain studies demonstrating no significant association between high school accounting experience and university achievement, whereas others indicate a favourable correlation. Significantly, a research gap exists for rural comprehensive institutions, which cater to a heterogeneous student body and are inadequately represented in existing studies. This study recruited all first-year accounting students at a rural institution to ascertain the correlation between high school accounting education and university performance. The results suggest that past study of accounting in high school does not significantly influence students' success in first-year accounting courses, indicating that high school accounting knowledge does not immediately improve academic results at the university level. Nonetheless, the data indicate that students who excelled in high school accounting are likely to also succeed in their first year of university accounting, implying that high school achievement may be a valuable predictor of university performance, even if it does not directly affect overall outcomes. The study's shortcomings encompass its concentration on a singular rural institution and the omission of second- and third-year students, so constraining the extent and generalisability of the findings. These constraints underscore the necessity for future investigations encompassing multiple institutions, longitudinal monitoring of students' academic advancement, and comprehensive variable analysis to elucidate the intricate factors affecting student success in rural South African higher education, especially within accounting programs.

This study aims to produce problem-based accounting introductory practicum modules. This study uses research and development (R&D) methods based on the Bord and Gall concept. The population of this study was all students of the introductory accounting practicum course in the accounting education study program in 2022. The sample was determined by random sampling, and the sample class was used for application and limited testing of small and large samples, namely classes A, B and C, semester 1. Based on the research results, the introductory accounting practicum module created and validated by three expert validators resulted in a decision that the teaching material had a very high feasibility level (87.08%) with a note that it needed to be revised. After correcting all revision notes, a small group trial was carried out on 10 class A students. Based on the results of the small group trial, it was found that there was a significant increase in learning outcomes before and after using the introductory accounting practicum module. Then a large group trial was carried out, with class B as the control class and class C as the experimental class. The result is a significant difference in learning outcomes using the introductory accounting practicum module, which is significantly higher than the control class. Then from the practicality test results, all factors of convenience for the user, usability, and time effectiveness have a percentage value of 81.39%. The finding concludes that the developed book meets the readability and practicality criteria.

Artificial Intelligence (AI) is increasingly transforming teaching and learning in accounting education. While AI technologies offer opportunities to enhance learning outcomes, academic performance is also influenced by broader educational factors such as teacher competence, institutional support, curriculum design, and student engagement. This study investigates the role of AI and educational factors in shaping academic performance in accounting education through a systematic literature review of studies published between 2020 and 2025. Following the PRISMA 2020 guidelines, a structured search of major academic databases yielded 168 initial records. After screening and eligibility assessment, 28 studies were retained for final analysis. The review synthesizes empirical evidence on AI applications in accounting education and identifies key factors influencing student performance. The study is grounded in Human Capital Theory and Social Cognitive Theory, which provide insights into how technological and educational investments influence learning outcomes. The findings reveal that AI technologies such as intelligent tutoring systems, generative AI tools, predictive analytics, and automated assessment platforms enhance academic performance through personalized learning and data-driven feedback. However, the effectiveness of these technologies depends on teacher digital competence, student motivation, curriculum alignment, and institutional support. The study proposes an integrated conceptual framework linking AI adoption and educational factors to academic performance in accounting education. The findings provide implications for educators, policymakers, and curriculum developers seeking to improve accounting education in the digital era.

The rapid evolution of digital technologies necessitates a transformative approach to accounting education, particularly in developing countries. Building on Mishra and Koehler’s (2006) foundational assertion that there is no universally accepted method for integrating technology into the educational curricula, this study proposes a TPACK-Bloom’s Taxonomy framework to articulate how technology enhances learning in accounting education. TPACK (Technological Pedagogical Content Knowledge) offers a multidimensional lens for aligning technological tools with pedagogical strategies and disciplinary content, ensuring that emerging technologies such as artificial intelligence and data analytics are contextually and instructionally relevant. Bloom’s Taxonomy complements this by structuring cognitive development across six hierarchical levels, ranging from remembering to creating, within technology-enhanced learning environments. Together, these two frameworks provide a versatile tool for designing curriculum interventions that foster digital literacy, critical thinking, and professional competence. This study makes three key contributions to the literature. First, it bridges the gap between technology adoption and pedagogical effectiveness by linking digital tools to cognitive learning outcomes. Second, it contributes to human capital development by promoting the integration of technical, cognitive, and digital competencies. Third, it supports organisational transformation by offering a practical, scalable approach to technology-enhanced learning in resource-constrained contexts.

This study examines the influence of high school accounting instruction on the academic performance of first-year financial accounting students at a rural comprehensive university. In the context of South African higher education, students frequently gain admission to accounting diploma or degree programs without prior secondary school accounting instruction, prompting questions regarding the impact of previous accounting knowledge on university performance. Current research presents inconclusive findings, with certain studies demonstrating no significant association between high school accounting experience and university achievement, whereas others indicate a favourable correlation. Significantly, a research gap exists for rural comprehensive institutions, which cater to a heterogeneous student body and are inadequately represented in existing studies. This study recruited all first-year accounting students at a rural institution to ascertain the correlation between high school accounting education and university performance. The results suggest that past study of accounting in high school does not significantly influence students' success in first-year accounting courses, indicating that high school accounting knowledge does not immediately improve academic results at the university level. Nonetheless, the data indicate that students who excelled in high school accounting are likely to also succeed in their first year of university accounting, implying that high school achievement may be a valuable predictor of university performance, even if it does not directly affect overall outcomes. The study's shortcomings encompass its concentration on a singular rural institution and the omission of second- and third-year students, so constraining the extent and generalisability of the findings. These constraints underscore the necessity for future investigations encompassing multiple institutions, longitudinal monitoring of students' academic advancement, and comprehensive variable analysis to elucidate the intricate factors affecting student success in rural South African higher education, especially within accounting programs.

This study aims to produce problem-based accounting introductory practicum modules. This study uses research and development (R&D) methods based on the Bord and Gall concept. The population of this study was all students of the introductory accounting practicum course in the accounting education study program in 2022. The sample was determined by random sampling, and the sample class was used for application and limited testing of small and large samples, namely classes A, B and C, semester 1. Based on the research results, the introductory accounting practicum module created and validated by three expert validators resulted in a decision that the teaching material had a very high feasibility level (87.08%) with a note that it needed to be revised. After correcting all revision notes, a small group trial was carried out on 10 class A students. Based on the results of the small group trial, it was found that there was a significant increase in learning outcomes before and after using the introductory accounting practicum module. Then a large group trial was carried out, with class B as the control class and class C as the experimental class. The result is a significant difference in learning outcomes using the introductory accounting practicum module, which is significantly higher than the control class. Then from the practicality test results, all factors of convenience for the user, usability, and time effectiveness have a percentage value of 81.39%. The finding concludes that the developed book meets the readability and practicality criteria.