Effectiveness of Optimal Experience Educational Package Based on Csikszentmihalyi's Theory on Innovative Behaviors and Effective Teaching of Primary School Teachers

Articles in Press

Document Type : Research Paper

Authors

1 1. Department of Educational Psychology, Faculty of Psychology and Educational Sciences, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.

2 Department of Psychology, Community Health Research Center, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.

3 Department of Educational Sciences, Faculty of Psychology and Educational Sciences, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.

Abstract

The present study was conducted to determine the effectiveness of optimal experience educational package based on csikszentmihalyi's theory on innovative behaviors and effective teaching of primary school teachers. The research method was quasi-experimental with pretest, posttest, control group and 2 month follow-up. The statistical population of the research included elementary school teachers in Isfahan city in the academic year of 2020-2021. In this research, 30 primary school teachers were selected by purposive sampling method and randomly assigned to experimental and control groups. The teachers in the experimental group received the optimal experience educational package based on csikszentmihalyi's theory during seven weeks in seven sessions of 90 minutes. The applied questionnaires in this study included innovative behaviors questionnaire and effective teaching questionnaire. The data from the study were analyzed through variance with repeated measures via SPSS23 statistical software. The results showed that optimal experience educational package based on csikszentmihalyi's theory enjoys a suitable content validity from the experts’ viewpoint. Moreover, this package has had effect on the innovative behaviors and effective teaching of primary school teachers.

Keywords

Journal of Applied Psychological Research

Articles in Press, Accepted Manuscript
Available Online from 20 April 2024

Files

History

  • Receive Date: 14 September 2023
  • Revise Date: 02 December 2023
  • Accept Date: 08 December 2024
  • First Publish Date: 08 December 2024
  • Publish Date: 20 April 2024

Share

How to cite

Statistics