Analysis of variance anova and correlation matrix for m-learning among university students

Abstract

This study attempts to find out students' expectations from mobile learning (m-learning) applications. A questionnaire on students' preferences in m-learning applications was used). The data of this report were collected from the primary sources in the Institute of Computational Mathematics and Information Technologies - Department of Programming Technologies between 20th of February and 25th of March 2017. The Research survey was conducting among students of higher institutions in Kazan Russia in (Kazan federal university). A self-administered questionnaire was designed and distributed to the research population in question to obtain quick and direct responses. The survey involved a distribution of a total of 135 questionnaires after seeking the consent of the respondents out of which 124 were correctly filled and analyzed. Correlation Matrix, Chi Square, Symmetric Measures test, Simple Linear Regression was done in this study, Analysis of Variance ANOVA analysis was used on the collected data. The results showed that the availability and easy usage of mobile applications are among the most preferred characteristics of applications. Surprisingly, entertaining feature was the least expected feature by students.