Abstract
Critical thinking, essential in contemporary education, has been the subject of research, which has focused on the creation of pedagogical strategies to promote and strengthen this skill in students. This study focused on designing an Intelligent Tutor System to develop this type of higher order thinking in university students. It was divided into two phases: design of the expert module, which devised learning paths and explored an algorithm, and the planning module, which covered automated planning, plan customization, outcome evaluation and testing. The findings highlight creating a didactic model of the learning path and validating a planning algorithm, called the Learning Progress Algorithm, as a formal, automated approach to improving critical thinking skills. The conclusion highlights the ability of the planning module, supported by the algorithm, to adjust to individual learner progress, which enables educational personalization and has practical implications for optimizing critical thinking in challenging contexts. This integrative approach reflects the synergy between educational technology and critical skills development within educational research.
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Data Availability
Source Code of Intelligent Algorithms: This repository contains the source code for each of the algorithms described in the results of the study: https://github.com/APIP-CECAR/planner/blob/main/domain.pddl, https://github.com/APIP-CECAR/planner/blob/main/problem.pddl. Algorithm Validation: To assess the effectiveness of the proposed intelligent tutoring system in personalized learning path generation, an evaluation was conducted in a secondary education setting: https://doi.org/https://doi.org/10.1109/C358072.2023.10436195. Didactic Model Designed to Promote the Development of Critical Thinking: The following study was the first phase of the research, which served as the conceptual basis for the implementation of the algorithms: https://doi.org/https://doi.org/10.1016/j.ijedro.2022.100207.
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This study was funded by Corporación Universitaría del Caribe –CECAR (grant number: ACTA07/2).
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Lengua-Cantero, C., Caro Piñeres, M., García Medina, M. et al. The Expert and Planning Module of an Intelligent Pedagogical Agent for the Development of Critical Thinking. SN COMPUT. SCI. 5, 1080 (2024). https://doi.org/10.1007/s42979-024-03424-w
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DOI: https://doi.org/10.1007/s42979-024-03424-w