Transparency as a Critical Factor in the Educational Uses of AI

Authors

  • Graciela Caldeiro Universidad de Buenos Aires
  • Valeria Odetti Universidad de Buenos Aires

DOI:

https://doi.org/10.60020/1853-6530.v15.n28.47960

Keywords:

artificial intelligence

Abstract

This paper examines the importance of transparency in the use of generative artificial intelligence (GAI) in education, highlighting its ethical and pedagogical value. Based on research on the implementation of GAI in instructional design, it explores the impact of these resources as teaching assistants. It proposes that, just as students are expected to disclose their use of GAI in their work, educators should also acknowledge their use of these tools when preparing lessons.

The article reviews the AIAS scale by Perkins et al. (2024) and its adaptation by De Haro (2024), which grades levels of AI use in evaluation contexts. Building on these references, the EIADD scale is developed to adapt the grading to describe the level of AI intervention in instructional design.

Finally, the paper emphasizes the need to promote a transparent and critical use of GAI, stressing that its implementation can influence educational processes, affecting not only cognitive aspects but also social, emotional, and ethical dimensions.

References

ARCE, D. D. (2023). Inteligencia artificial vs. Turnitin: implicaciones para el plagio académico. Revista Cognosis. ISSN 2588-0578, 8(1), 15-26. Recuperado de: https://doi.org/10.33936/cognosis.v8i1.5517

ANDERS, B. A. (2023). Is using ChatGPT cheating, plagiarism, both, neither, or forward thinking?. Patterns, 4(3). Recuperado de: https://www.cell.com/patterns/pdf/S2666-3899(23)00025-9.pdf

CALDEIRO, G.; ODETTI, V.; ORDIZ, M. (2024) Educación e inteligencia artificial generativa: experimentación con usos didácticos en el nivel primario, en Actas Primer Congreso Internacional en Inteligencia Artificial y Educación. ISBN 978-950-658-634-8, 409

DE HARO, J (2024) Marco para la integración de la IA generativa en las tareas educativas, en Bilateria, blog sobre educación. Disponible en: https://educacion.bilateria.org/marco-para-la-integracion-etica-de-la-ia-generativa-en-las-tareas-educativas

FURZE, L. (2024) Updating the AI Assessment Scale Disponible en: https://leonfurze.com/2024/08/28/updating-the-ai-assessment-scale/

KHALIL, M., & ER, E. (2023). Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv preprint arXiv:2302.04335. Recuperado de: https://arxiv.org/abs/2302.04335

PERKINS, M., FURZE, L., ROE, J., & MACVAUGH, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment. Journal of University Teaching and Learning Practice, 21(06). https://doi.org/10.53761/q3azde36

Published

2024-12-31

Issue

Section

Theoretical Basis and Research

How to Cite

Transparency as a Critical Factor in the Educational Uses of AI. (2024). Virtuality, Education and Science, 15(28). https://doi.org/10.60020/1853-6530.v15.n28.47960