Analysis of Multimedia Projects Created in MIT Scratch Using Artificial Intelligence
The advent of ChatGPT has initiated a boom in the use of artificial intelligence tools in society. From their initial spontaneous application in education, we are gradually moving toward a more thoughtful and systematic approach. To better understand the current state of AI utilization in education, we conducted our own EU Code Week 2024 activity titled “Programming an Animated Music Clip”. The aim of this activity was to foster positive attitudes toward programming among students and teachers, enhance their multimedia literacy, and encourage creativity using artificial intelligence tools. The outcome of this activity is a publicly available collection of animated music clips created by students and teachers from primary, secondary, and higher education institutions. In the article, we analyse the impact of AI utilization on the final projects of the authors. The analysis was carried out using automated tools (Formal Concept Analysis, Dr. Scratch, custom automated tool, R program) and human evaluation. We examined the projects from various perspectives, such as the artificial intelligence tools used, the proportion of multimedia created by humans versus AI, the programming complexity of the projects, and the level of creativity of the authors. In the subsequent section of the article, we present the identified relationships between these aspects and provide recommendations for integrating AI into the teaching process.
Authors
- Ľubomír Šnajder (ORCID: https://orcid.org/0000-0002-8854-1009)
- Ján Guniš (ORCID: https://orcid.org/0000-0002-6027-7453)
- Zuzana Tkáčová (ORCID: https://orcid.org/0000-0002-9805-6242)
- Ľubomír Antoni (ORCID: https://orcid.org/0000-0002-7526-8146)
- Stanislav Krajči (ORCID: https://orcid.org/0000-0001-5612-3534)
- Dominika Kotlárová
- Katarína Brinziková
- Peter Eliaš (ORCID: https://orcid.org/0000-0002-2578-6535)
Institutions
- Slovak Academy of Sciences (SK)
Publication Details
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1109/mipro65660.2025.11131996
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00