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

Human-Computer Interaction 2024-02-26 v1 Computers and Society

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.

Keywords

Cite

@article{arxiv.2402.15278,
  title  = {Economic and Financial Learning with Artificial Intelligence: A Mixed-Methods Study on ChatGPT},
  author = {Holger Arndt},
  journal= {arXiv preprint arXiv:2402.15278},
  year   = {2024}
}

Comments

23 pages

R2 v1 2026-06-28T14:58:16.755Z