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Effect of Artificial Intelligence Tools on the Practical Accounting Skills of Accounting Education Students

Abstract

Artificial Intelligence (AI) tools are increasingly being introduced into education and professional accounting practice, creating new opportunities for students to develop practical accounting competencies. Artificial Intelligence tools refer to digital technologies capable of performing tasks such as data processing, information analysis, automated calculations, content generation, and problem-solving. Practical accounting skills involve the ability to apply accounting knowledge to tasks such as recording transactions, preparing financial statements, analyzing financial information, and solving accounting problems. This study therefore examines the effect of Artificial Intelligence tools on the practical accounting skills of Accounting Education students. Artificial Intelligence tools can support accounting learning by providing students with opportunities to perform and understand practical accounting tasks. Students can use AI-supported applications to analyze accounting information, generate explanations of accounting procedures, identify possible errors, organize financial data, and practice accounting-related problems. These tools can also provide immediate responses to students’ work and expose them to technology-assisted approaches used in contemporary accounting environments. When appropriately integrated into learning activities, AI tools can complement classroom instruction and provide additional opportunities for practical practice. Practical accounting skills enable Accounting Education students to translate theoretical accounting knowledge into actual accounting activities. These skills include recording business transactions, preparing journal entries, posting to ledgers, preparing trial balances and financial statements, analyzing accounting information, and applying accounting principles to practical business situations. Exposure to Artificial Intelligence tools may strengthen these skills by allowing students to engage with accounting tasks in technology-supported environments. However, students still require adequate accounting knowledge and guidance to evaluate AI-generated information and apply accounting principles correctly. The study will adopt a quantitative research design. The population will comprise Accounting Education students in selected tertiary institutions. Data will be collected using a structured questionnaire and a practical accounting skills assessment designed to measure students’ ability to perform selected accounting tasks. The instruments will be subjected to appropriate validity and reliability procedures before administration. Data collected will be analyzed using descriptive and inferential statistical techniques, while the hypothesis will be tested at the 0.05 level of significance. The study is expected to establish that the use of Artificial Intelligence tools has a significant positive effect on the practical accounting skills of Accounting Education students. Students exposed to appropriate AI-supported learning activities are expected to demonstrate improved ability to perform accounting calculations, record transactions, interpret accounting information, solve practical accounting problems, and complete accounting tasks accurately. The study may also indicate that inadequate guidance in the use of AI tools could limit students’ ability to independently verify and apply accounting knowledge. The findings will have important implications for the teaching and learning of Accounting Education. Accounting lecturers may need to incorporate appropriate AI tools into practical accounting lessons while maintaining emphasis on fundamental accounting principles. Students can be given structured activities that require them to use AI tools to support accounting calculations, analyze financial information, solve practical problems, and evaluate generated outputs. Such activities can help students develop both traditional accounting competencies and the technological skills required in modern accounting practice. The study will be beneficial to Accounting Education students, lecturers, tertiary institutions, curriculum developers, and accounting employers. Students may benefit from improved practical accounting competence and greater exposure to technology-supported accounting activities. Lecturers may gain useful insights into integrating Artificial Intelligence into accounting instruction, while institutions and curriculum developers may use the findings to strengthen technology-oriented accounting education. Employers may also benefit from graduates who possess practical accounting skills alongside the ability to work with emerging digital technologies. The study recommends that tertiary institutions should provide appropriate Artificial Intelligence tools and learning resources for practical accounting instruction. Accounting lecturers should guide students in using AI responsibly and should combine AI-supported activities with independent accounting exercises and practical assessments. Students should also be encouraged to verify AI-generated outputs using established accounting principles and professional requirements. The study concludes that appropriate integration of Artificial Intelligence tools into Accounting Education can contribute to the development of practical accounting skills and better prepare students for technology-driven accounting environments.

Keywords: Artificial Intelligence Tools, Practical Accounting Skills, Accounting Education, Accounting Students, AI-Assisted Learning, Accounting Technology, Digital Accounting, Accounting Practice, Accounting Competence, Practical Learning, Financial Data Analysis, Accounting Calculations, Accounting Problem-Solving, Technology Integration, Digital Skills