Economic and Financial Learning with Artificial Intelligence: A Mixed-Methods Study on ChatGPT
Holger Arndt

TL;DR
This study investigates ChatGPT's role as an educational tool in financial learning, highlighting positive perception shifts, challenges in prompting and accuracy, and proposing the concept of 'AI-learning-competence' for future pedagogical integration.
Contribution
It provides empirical insights into user perceptions and learning outcomes with ChatGPT, introducing the novel concept of 'AI-learning-competence' for educational integration.
Findings
Positive perception shift after ChatGPT interaction
Challenges in prompting effectiveness and information accuracy
Introduction of 'AI-learning-competence' concept
Abstract
In the evolving landscape of digital education, chatbots have emerged as potential game-changers, promising personalized and adaptive learning experiences. This research undertook an in-depth exploration of ChatGPT's potential as an educational tool, focusing on user perceptions, experiences and learning outcomes. Through a mixed-methods approach, a diverse group of 102 participants engaged with ChatGPT, providing insights pre- and postinteraction. The study reveals a notable positive shift in perceptions after exposure, underscoring the efficacy of ChatGPT. However, challenges such as prompting effectiveness and information accuracy emerged as pivotal concerns. Introducing the concept of 'AI-learning-competence', this study lays the groundwork for future research, emphasizing the need for formal training and pedagogical integration of AI tools.
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Taxonomy
TopicsStock Market Forecasting Methods · FinTech, Crowdfunding, Digital Finance · Explainable Artificial Intelligence (XAI)
