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

February 23, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Holger Arndt arXiv ID 2402.15278 Category cs.HC: Human-Computer Interaction Cross-listed cs.CY Citations 2 Venue arXiv.org Last Checked 4 months ago
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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