Wit and wisdom: using computational humor to communicate about economics
Abstrak
This paper explores the potential of large language models to enhance economics education through computational humor. We employ OpenAI’s GPT-4 model to infuse humor into summaries of three Nobel laureates’ contributions to economics and conduct a small empirical exercise with undergraduate students to test the pedagogical efficacy of computational humor. The results suggest that computer-generated humor may be an effective learning aid: the results of the students who rate the humorous versions of the instructional texts as genuinely funny are significantly better than the results of their peers who are not amused. Encouragingly for teachers who try to be funny but fail, we do not find evidence that ineffectual humor is detrimental to learning.
Topik & Kata Kunci
Penulis (4)
Iacob Postavaru
Emilia Bunea
Crina Pungulescu
David Stolin
Akses Cepat
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Cek di sumber asli →- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.13169/prometheus.40.1.0020
- Akses
- Open Access ✓