Strengthening of Learning Styles, applying a Multiagent Adaptive Model

Navarro A.F.; Arauco S.E.; Huaman H.; Carrion R.; Lopez-Cuadros D. · 2022 17th Latin American Conference on Learning Technologies, LACLO 2022 (2022) · DOI: 10.1109/laclo56648.2022.10013481

Resumen

The research increased and implemented an adaptive multi-agent model to identify and strengthen learning patterns in engineering students at the Universidad Nacional del Centro del Perú (UNCP) in order to achieve the standards of the accreditation model of the National System for Evaluation, Accreditation and Certification of the Educational Quality of the Peruvian state - (SINEACE). The multi-agent methodology called Vowel Engineering was obtained to design the participating agents, the elements of the model were identified with the vowels A (agents), E (environment), I (interactions) and O (organization). The present study is applied at an explanatory level and has considered the population of students enrolled in the period 2018 - 2019. The Felder and Silverman questionnaires were brought to determine learning styles; the results show that 48.8% practice active style; 70.8% practice the sensory and intuitive style, 28.8% practice the sensory style; 62.5% practice the visual style; 62.5% visual practical style and 22.5% sequential style. Finally, it concludes with the determination of the prevalence of learning styles: sensitive - intuitive, inductive - deductive, active - reflective in the students of the professional engineering career. In order to incorporate learning methodologies that guide to complement and strengthen patterns with weaknesses, established strategies that are incorporated into future curricular designs and contribute to strengthening the skills of the graduate.

Instituciones: Universidad Nacional Tecnológica de Lima Sur; Universidad Nacional José María Arguedas; Universidad Nacional del Centro del Perú; Universidad Privada Norbert Wiener