Leveraging Artificial Intelligence to Enhance Financial Education in Corporate Finance and Calculation-Intensive Subjects
Abstract
The study of finance, especially corporate finance, poses significant obstacles owing to its dependence on calculations and the complexity of its theoretical constructs. Students frequently need to comprehend complex concepts such as Net Present Value (NPV), Internal Rate of Return (IRR), cost of capital, and financial modelling, all of which necessitate accuracy, logical reasoning, and multi-step problem-solving abilities. Even trivial computational errors might result in substantial misinterpretations of financial results, hindering effective learning. The swift progression of Artificial Intelligence (AI) in the education industry presents an increasing possibility to include AI-driven technologies into finance education, enhancing both understanding and implementation of complex ideas. The present study explores the potential of AI that can be effectively utilized as a teaching assistant for finance students, focusing specifically on quantitative analysis, decision-making under uncertainty, and corporate financial management. AI applications such as intelligent tutoring systems, automated calculation engines, and adaptive learning platforms can assist students by simplifying complex tasks, offering personalized learning trajectories, and providing real-time feedback. Moreover, scenario-based simulations powered by AI allow learners to engage more deeply with financial decision-making processes, bridging the gap between theory and practice. By leveraging these capabilities, AI not only enhances accuracy but also improves student engagement, motivation, and critical thinking skills. The study concludes with a discussion on the long-term implications of AI integration in finance education, highlighting its potential to reshape traditional pedagogy and prepare students for a technologically driven financial landscape.
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Copyright (c) 2025 Shahsuzan Zakaria, Nor Farradila Abdul Aziz, Suhaily Maizan Abdul Manaf, Mohd Taufik Mohd Suffian, Mohamad Sayuti Md Saleh, Dheya Hamood Saif Al-Fakih
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