Teaching Finance with AI

Expanding Frontiers: An Alternative Investments & Machine Learning Podcast

This episode discusses the research paper, "Leveraging AI tools in finance education: exploring student perceptions, emotional reactions and educator experiences," which presents a mixed-methods study assessing the integration of Artificial Intelligence tools within finance education. Quantitative data, gathered through a Synthetic Index of Use of AI Tools (SIUAIT) and observational studies using facial expression analysis, reveal that finance students, particularly those in Financial Engineering, hold significantly positive perceptions of AI tools and experience heightened positive emotional engagement in AI-enhanced classes. Conversely, the study notes an increase in the negative emotion of fear, which may still facilitate learning. Qualitative interviews with educators highlight that while they recognize AI’s benefits in pedagogy and efficiency, they also express concerns regarding student over-reliance and essential ethical implications that must be addressed for successful integration. The overall conclusion is that AI has a transformative potential in preparing students for their careers, but a balanced approach is crucial to maximize benefits while mitigating potential challenges.

References

“Leveraging AI tools in finance education: exploring student perceptions, emotional reactions and educator experiences” by Pamela Córdova, Alberto Grájeda, Juan Pablo Córdova, Alejandro Vargas-Sánchez, Johnny Burgos, Alberto Sanjinés, COGENT EDUCATION2024, VOL. 11, NO. 1 Published online: 29 Nov 2024 https://doi.org/10.1080/2331186X.2024.2431885

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This episode is based on the references listed above and was generated using Notebook LM and potentially other AI tools. While I have reviewed the content for accuracy, it may still contain errors, inaccuracies, or omissions. Neither the producers nor any affiliates accept liability for any damages or losses arising from the use or interpretation of this content.