A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Enhancing Pedagogy with Generative AI: Video Production from Course Descriptions




TekijätWeerakoon, Oshani; Leppänen, Ville; Mäkilä, Tuomas

ToimittajaVassilev, Tzvetomir; Trifonov, Roumen

Konferenssin vakiintunut nimiInternational Conference on Computer Systems and Technologies

KustantajaAssociation for Computing Machinery

Julkaisuvuosi2024

Kokoomateoksen nimiCompSysTech '24: Proceedings of the International Conference on Computer Systems and Technologies 2024

Tietokannassa oleva lehden nimiACM International Conference Proceeding Series

Aloitussivu249

Lopetussivu255

ISBN979-8-4007-1684-3

DOIhttps://doi.org/10.1145/3674912.3674922

Verkko-osoitehttps://doi.org/10.1145/3674912.3674922

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/457810737


Tiivistelmä
This paper explores a novel workflow that integrates Generative AI tools, ChatGPT and DALL·E, into educational use, aiming to improve the traditional teaching methods in university education. Our workflow is focused on creating short introductory videos for university courses, using primary course descriptions available in the university's study guide with the idea of introducing courses visually. This approach was deliberately selected for experimentation, and we believe that it could be further enhanced to generate course videos on specific course topics. This will minimize the efforts of teachers who are required to produce detailed course videos as a part of their teaching. As the first part of our workflow, we present a tool that utilizes ChatGPT-4 and DALL·E 2 to autonomously generate a script and background graphics for videos, using primary course descriptions extracted through a given course web URL. As the second part of the workflow, we combine those generated artefacts into videos using Narakeet, a Text-to-Speech software service that is available online. To analyze the feasibility of this workflow, we then conducted a field survey where university teachers participated in reviewing introductory course videos of their courses generated through our workflow. We employed only engineering courses that are English-taught in this field survey. The results demonstrate the potential of AI-generated content to increase the efficiency of teachers when creating video materials. However, challenges such as the uncanny valley effect in text-to-speech narration and the propensity for AI-generated misinformation highlight the need for careful review by humans on such content before setting it for wider use. This paper argues for the strategic integration of AI in university education, focusing on the benefits, while acknowledging the limitations owned by generative AI tools.

Ladattava julkaisu

This is an electronic reprint of the original article.
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Julkaisussa olevat rahoitustiedot
No grants were received to conduct this research.


Last updated on 2025-27-01 at 19:33