Open AccessFactors that influence the intention of using an app in higher education
Author(s) -
Alex Sandro Rodrigues Martins,
Alexandre Costa Quintana,
Cristiane Gularte Quintana
Publication year - 2021
Publication title -
revista catarinense da ciência contábil
Language(s) - English
Resource type - Journals
eISSN - 2237-7662
pISSN - 1808-3781
DOI - 10.16930/2237-766220213193
Subject(s) - expectancy theory , mathematics education , inclusion (mineral) , descriptive statistics , interpersonal communication , class (philosophy) , psychology , structural equation modeling , unified theory of acceptance and use of technology , computer science , statistical analysis , social psychology , mathematics , statistics , artificial intelligence , machine learning
The technology incorporation in the academic area results in changes in the way students see the subjects professors teach, as well as interferes with interpersonal relations, contributing to expanding the classroom beyond its physical environment. Therefore, it creates interactive learning environments in which the professor assumes a mediating role. Another consequence of technology insertion in education is the emergence of virtual tools that collaborate with student growth. With the use of the Unified Theory of Acceptance and Use of Technology (UTAUT), this research aims to identify which factors influence the intention of using an application that provides tips for students about the subject discussed in class in the Undergraduate Program in Accounting of a Federal University in southern Brazil. This is descriptive research with a quantitative approach through primary data. Version 17.0 of the Statistical Package for the Social Sciences (SPSS) was used, which analyzed the collected data to obtain a descriptive statistical analysis. Then, the database was imported into the Smart PLS statistical program (version 2.0) to empirically validate the hypotheses through Structural Equation Modeling (SEM). In view of the results achieved, the conclusion was that the performance expectancy and social influence directly and significantly affected the intention of using the application. In addition, it is expected that this research will contribute to the academic community by supporting the inclusion of mobile technologies for the propagation of education beyond the classroom, thus enabling omnipresent education for society in general.