Abstract

It is becoming increasingly clear that not all students require the same education, and the requirement of personalized education is increasingly in demand. The incorporation of adaptive learning (AL) has increased in recent years. However, research on this subject is still evolving at the university level. In this study, we investigated the impact of integrating an AL tool (CogBooks®) in a university course (statistics for decision making) taught in an innovative online modality called FIT (flexible, interactive, and with technology), in which the course is designed in the CANVAS® platform and uses Zoom® as a means of communication with students. Learning outcomes were compared between the FIT courses with or without AL and between AL strategies in online and face-to-face courses. It was clear that AL improved the students’ achievement regardless of the modality. In addition, we conclude that students achieve better in AL courses in the classroom than in distance courses. Satisfaction surveys favor a preference for FIT courses with AL over classroom classes with AL. Our results suggest that AL is a solid strategy for teaching undergraduate courses.

Details

Title
Using an adaptive learning tool to improve student performance and satisfaction in online and face-to-face education for a more personalized approach
Author
Contrino, Monica F. 1 ; Reyes-Millán, Maribell 2 ; Vázquez-Villegas, Patricia 3 ; Membrillo-Hernández, Jorge 3 

 Tecnologico de Monterrey, Educación Digital, Vicerrectoría Académica y de Innovación Educativa, Monterrey, México (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701); Tecnologico de Monterrey, Escuela de Negocios, Monterrey, México (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701) 
 Tecnologico de Monterrey, Educación Digital, Vicerrectoría Académica y de Innovación Educativa, Monterrey, México (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701) 
 Tecnologico de Monterrey, Institute for the Future of Education, Monterrey, México (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701) 
Pages
6
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
e-ISSN
21967091
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2922279864
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.