Assessing Student Perceptions of Video Quality and Effectiveness From AI-Enhanced Digital Resources

In this article, the authors explore the practical application of artificial intelligence-based tools in streamlining the course development process, with a particular emphasis on video production and scriptwriting. The work explores the production process for a MOOC lesson, encompassing activities such as video scripting, graphic design, podcast recording, slide presentation preparation, concept mapping, and the creation of interactive learning activities. The article presents the instrument used to evaluate students’ perceptions of the AI-generated video resources, offering insights into the accessibility of creating avatars without the need for specialized equipment. With basic recording devices and adherence to guidelines like maintaining eye contact and minimizing background noise, users can achieve professional results. Furthermore, the work underscores the potential benefits of integrating AI-based tools in the development of MOOCs and large-scale course production. It is observed that the utilization of such technologies may lead to a more streamlined course creation process, with the first exploration indicating a possible reduction of preparation time by approximately 60%. This notable decrease in development time could offer substantial improvements in the scalability and potential personalization of online education.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/democon63027.2024.10747930
Citations
2
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.50

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article

Assessing Student Perceptions of Video Quality and Effectiveness From AI-Enhanced Digital Resources

Héctor R. Amado-Salvatierra, Miguel Morales, Rocael Hernández-Rizzardini, Milvia Rosales
2 citations
Image and Video Quality Assessment
0.50
article

Assessing Student Perceptions of Video Quality and Effectiveness From AI-Enhanced Digital Resources

Héctor R. Amado-Salvatierra, Miguel Morales, Rocael Hernández-Rizzardini, Milvia Rosales
article en
2 citations

Abstract

In this article, the authors explore the practical application of artificial intelligence-based tools in streamlining the course development process, with a particular emphasis on video production and scriptwriting. The work explores the production process for a MOOC lesson, encompassing activities such as video scripting, graphic design, podcast recording, slide presentation preparation, concept mapping, and the creation of interactive learning activities. The article presents the instrument used to evaluate students’ perceptions of the AI-generated video resources, offering insights into the accessibility of creating avatars without the need for specialized equipment. With basic recording devices and adherence to guidelines like maintaining eye contact and minimizing background noise, users can achieve professional results. Furthermore, the work underscores the potential benefits of integrating AI-based tools in the development of MOOCs and large-scale course production. It is observed that the utilization of such technologies may lead to a more streamlined course creation process, with the first exploration indicating a possible reduction of preparation time by approximately 60%. This notable decrease in development time could offer substantial improvements in the scalability and potential personalization of online education.

Galileo University (GT)
European Commission
Openalex Percentile: Top 33%
Image and Video Quality Assessment
0.50
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Assessing Student Perceptions of Video Quality and Effectiveness From AI-Enhanced Digital Resources — Héctor R. Amado-Salvatierra, Miguel Morales, et al. · (2024) | TGRS Research Map | TGRS