Educational computing to assess decision-making learning in university students

Autor: Martha Angélica Maldonado Vargas, Juan Pablo Ucán Pech
Jazyk: English<br />Spanish; Castilian<br />Portuguese
Rok vydání: 2023
Předmět:
Zdroj: Apertura, Vol 15, Iss 2, Pp 6-19 (2023)
Druh dokumentu: article
ISSN: 2007-1094
DOI: 10.32870/Ap.v15n2.2363
Popis: This paper describes a study related to the learning of decision-making heuristics such as preference matrix, break-even point and decision tree from the perspective of using a computational tool. With their respective algorithms, a virtual learning environment through a mobile application (app) aimed at Engineering students was developed. To answer the research questions posed in this report, an empirical study was conducted to assess the effectiveness, efficiency and cost in solving decision-making problems with and without the use of the app. The results in this study suggest that the use of the app in learning decision-making skills facilitates the mathematical process for students, and that by using critical thinking competence, they can make assertive and accurate decisions considering different alternatives.
Databáze: Directory of Open Access Journals