Examining the Impact of Implementing Innovative Educational Technologies on the Professional Skills Development of Accounting Students
Abstract
This study investigates the impact of innovative accounting education methods on learning outcomes, professional skill development, and the career progression of graduates in this field. The primary objective is to identify the gap between traditional curricula and the skill requirements of the digital labor market, proposing a practical conceptual framework to bridge this gap by leveraging emerging educational technologies. The research was conducted through a structured and analytical review of 23 reputable domestic and international sources (selected based on relevance, academic credibility, and a focus on accounting education and technological innovations). The findings indicate that innovative teaching methods—such as blended learning, role-playing simulations, AI-based education, data analytics, and Project-Based Learning (PBL)—are consistently associated with improvements in deep learning, long-term retention of information, and the enhancement of analytical, communication, digital, and professional ethical skills. The results also highlight that digital literacy, as a bridging skill, plays a crucial role in facilitating the effectiveness of these methods. Furthermore, Technological Readiness (TR) is identified in the existing literature as one of the most significant factors influencing the adoption of Artificial Intelligence (AI). The proposed conceptual model enables the gradual integration of these methods into the curriculum without the need for increasing credit hours. It also offers potential to address the insufficient coverage of emerging technologies (such as AI and blockchain) in current curricula in Iran. By presenting an analytical-practical framework, this study provides insights for revising accounting curricula and enhancing graduate employability within the digital economy.
Keywords:
Innovative accounting education, Digital literacy, Professional skills, Artificial intelligence, Blended learning.References
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