Model for Educational Free Software Integration into Artificial Intelligence Teaching and Learning

Abstract

Artificial Intelligence is a branch of Computer Science with complex subjects. A trend in the teaching and learning of Artificial Intelligence is to use software where students modify the source code. However, teachers do not use the freedoms of free software in their classrooms. Based on a previous review, it is difficult to see methodological indications to use or create new programs with these characteristics for other teaching-learning processes. The goal of this work is to develop a model of integration of educational free software to the teaching-learning process of Artificial Intelligence. The authors use several research methods: historical-logical, analysis and synthesis, functional-structural-systemic and modeling. The model has three fundamental components. The conceptual component represents the principles and their theoretical foundations. The structural component represents the main elements that intervene in the integration. The instrumental component constitutes the materialization of the model and contains three stages: preparation, execution and evaluation. The authors used the focus group technique, a pre-experiment and Iadov’s satisfaction technique to validate the model. These methods made it possible to verify the relevance of the model, its good acceptance by the teachers and the acceptable satisfaction of the students after the first application of the model.