Educational innovation: Exploring the Potential of Generative Artificial Intelligence in cognitive schema building

Authors

DOI:

https://doi.org/10.21556/edutec.2024.89.3251

Keywords:

Generative Artificial Intelligence, Cognitive Schemas, Technology-Assisted Learning, Personalized Learning, Education

Abstract

This study explores the use of generative artificial intelligence to enhance teaching and learning experience, focusing on strengthening and consolidating cognitive schemas. Research reveals that schemas can profoundly influence the improvement of the learning experience and promote the assimilation of new types of information and retention in students' memory. To improve the teaching and learning experience, the advantages, obstacles, and potential future trajectories of utilizing these technologies were examined by conducting a thorough literature review and analyzing relevant studies. Findings indicate that generative artificial intelligence has the potential to personalize learning, diversify educational content, and improve teaching efficiency and scalability. However, it also poses challenges related to content quality, data privacy, and equity in access to personalized learning. Future research should focus on the effectiveness of educational tools based on generative AI that promote equity and inclusion, ethical approaches, and interdisciplinary collaboration. Overall, this study provides a solid foundation for understanding and harnessing the potential of generative artificial intelligence in enhancing cognitive schemas, thereby promoting more effective, inclusive, and personalized education.

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Author Biographies

Bernarda Salgado Granda, Universidad Politécnica Salesiana, Guayaquil (Ecuador)

Bernarda Salgado Granda, Master in Applied Linguistics, serves as a professor and tutor in the Faculty of Architecture at Universidad de Guayaquil. She is also a professor at Universidad Politécnica Salesiana and UDLA University. Additionally, she is a member of the Research Group on Micro-Nanotechnology and Nuclear Energy (NANOTECH) at Universidad Politécnica Salesiana.

Yana Inzhivotkina, Universidad de Guayaquil (Ecuador)

Yana Inzhivotkina, Ph.D. in Linguistics and Literature Studies, is a professor and tutor in the Faculty of Social Communication at Universidad de Guayaquil.

María Fernanda Ibáñez Apolo, Santa Elena Peninsula State University (Ecuador)

María Fernanda Ibáñez Apolo, Master in Pedagogy of National and Foreign Languages and Master in Higher Education, has served as an English teacher at Universidad de Guayaquil, Universidad de Quevedo, and other educational institutions. She has several publications in the field of education.

Jorge Gustavo Ugarte Fajardo, Universidad Ecotec (Ecuador)

Jorge Gustavo Ugarte Fajardo, Ph.D. in Applied Multivariate Statistics, has been an undergraduate and/or graduate professor of Data Science and Computer Science at Universidad Tecnológica Ecotec, Escuela Superior Politécnica del Litoral, and other universities in Guayaquil. He has participated in various research projects that have generated publications in high-impact journals.

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Published

30-09-2024

How to Cite

Salgado Granda, B., Inzhivotkina, Y., Ibáñez Apolo, M. F., & Ugarte Fajardo, J. G. (2024). Educational innovation: Exploring the Potential of Generative Artificial Intelligence in cognitive schema building. Edutec, Revista Electrónica De Tecnología Educativa, (89), 44–63. https://doi.org/10.21556/edutec.2024.89.3251

Issue

No. 89 (2024): SPECIAL SECTION: Artificial intelligence in the evaluation and personalization of learning

Section

Special issue: Artificial intelligence in the evaluation and personalization...

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