Abstract
Representing knowledge can be a challenging task in undergraduate education. In the Formal Languages and Automata course, developing the ability to depict knowledge is crucial, and graphical methods are highly beneficial. Pre-conceptual schemas are graphs using controlled language, and they are simple to use and represent knowledge in any context. Despite their widespread use in academic circles, no computational tools currently incorporate artificial intelligence into such Pre-conceptual schemas, making it hard for computers to understand them. This study investigates a new method for computer interpretation of knowledge using artificial intelligence, aiming to enhance teaching, and learning in the Formal Languages and Automata course at the University of Nariño in Colombia. The outcomes of the validation process indicate a positive impact on educational practices, laying the groundwork for future innovations in the fields of didactics and computer-aided educational tools.
Author Information
Jesus Insuasti, University of Nariño, Colombia
Felipe Roa, University of Nariño, Colombia
Carlos Mario Zapata-Jaramillo, Universidad Nacional de Colombia at Medellín, Colombia
Paper Information
Conference: ECE2024
Stream: Design
This paper is part of the ECE2024 Conference Proceedings (View)
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To cite this article:
Insuasti J., Roa F., & Zapata-Jaramillo C. (2024) Using Artificial Intelligence to Teach and Learn the Formal Languages and Automata Course at the University of Nariño ISSN: 2188-1162 The European Conference on Education 2024: Official Conference Proceedings (pp. 137-150) https://doi.org/10.22492/issn.2188-1162.2024.10
To link to this article: https://doi.org/10.22492/issn.2188-1162.2024.10
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