An Analysis of University Students’ Attitudes towards Personalized Learning Environments

ABSTRACT

The aim of this research is to analyze university students’ attitudes towards personalized learning environments with respect to the independent variables of gender, age, university, year of study, knowledge about the environment, participation in the environment and being willing to participate in the environment. The correlative survey model is the method used in the research. The participants are 1,197 students of Computer Education and Instructional Technologies programs at 10 different universities. The personalized learning environment attitude scale (PLEAS) was used as an instrument to collSect data. The t-test, one way analysis of variance (ANOVA) and Tukey’s test were used to analyze data.

The analysis found a significant difference in university students’ attitudes towards personalized learning environment with respect to the variables of gender, age, year of study, knowledge about the learning environment, participation in the environment and being willing to participate in the environment. The university variable had no effect on attitudes.