@article{education202412115,
author={{Valdivia, Adolfo E. Obaya and Osorio, Carlos Monta?o and Velasco-Bejarano, Benjam¨ªn and Vargas-Rodr¨ªguez, Yolanda Marina},
title={Evaluating Cognitive and Affective Development in Chemistry Students using AI-supported Problem-Based Learning},
journal={American Journal of Educational Research},
volume={12},
number={11},
pages={447--454},
year={2024},
url={https://pubs.sciepub.com/education/12/11/5},
issn={2327-6150},
abstract={In the search for an adequate scenario for the construction of knowledge, it is necessary to consider the aspects that influence learning, such as the choice of the teaching technique used. The general objective of this work is to evaluate the cognitive and affective development achieved with the use of the Problem-Based Learning (PBL) technique, by students of the subject of Physical Chemistry in the issue of Carnot Cycle with the support of Artificial Intelligence. To this end, an exploratory study was carried out with students of Physical Chemistry of the second semester of the Chemistry career of the FES Cuautitl¨¢n UNAM. The data analysis was based on both the cognitive levels achieved and on the cognitive and affective assessments, in accordance with the Bloom-Barrows Taxonomy, obtained with the help of Artificial Intelligence using Chat GPT-4 and Google Gemini, allowing us to identify that, in general, the use of PBL can influence the level of cognitive and affective development achieved by students.  in addition to stimulating teamwork, communication and meaningful learning.},
doi={10.12691/education-12-11-5}
publisher={Science and Education Publishing}
}