AI Summary & Key Takeaways
AI InsightAs a result of the research, it can be said that the environmental behavior and ecological intelligence of university students reveal significant relationships and differences with each other and with various variables.
📌 3 Key Takeaways
Abstract
The aim of this study is to determine the environmental behaviors and ecological intelligence levels of university students, to examine the differentiation status of some demographic variables and to evaluate the relationship and effect between variables and measurement tools. While 281 university students were included in the study, "Environmental Behavior Scale (EBS)" and "Adult Ecological Intelligence Scale (EISIFA)" were used to measure the data. Descriptive statistics, independent sample T test, one-way analysis of variance ANOVA and Post hoc tests, Pearson Correlation test and regression analysis were used in the analysis of the data. In this study, internal reliability coefficients were determined as .89 for EBS and .83 for EISIFA. It can be said that the participating university students exhibited a high level of EISIFA (4.01 ± 0.54) and a moderate level of EBS (3.45 ± 0.62). It was determined that there were significant differences between the participants' gender, age, perceived income, department, taking lessons about environment, attending a course, seminar or talk on about the environment, efficient use of leisure time, participation in activities using natural resources and EBS and EISIFA. It has been determined that the activities that most done at leisure time do not significantly differentiate EBS and EISIFA. On the other hand, it was determined that there was a moderately positive (r=.472) relationship between EISIFA and EBS. It was determined that EISIFA level was a significant predictor of EBS (F=79.996; p<0.001), and EISIFA predicted 22% of EBS. As a result of the research, it can be said that the environmental behavior and ecological intelligence of university students reveal significant relationships and differences with each other and with various variables.