The Role of Socio-Cognitive Variables in Predicting Learning Satisfaction in Smart Schools

Mohammad Reza FIROOZI , Ali KAZEMI , Maryam JOKAR


The present study aimed to investigate the role of Socio-Cognitive variables in predicting learning satisfaction in Smart Schools. The population was all the primary school students studying in smart schools in the city of Shiraz in the school year 2014-2015. The sample, randomly chosen through multi-stage cluster sampling, was 383 primary school students studying in smart schools in Shiraz. The instruments were the Computer Self-Efficiency Questionnaire developed by Torkzadeh (2003), Performance Expectation Questionnaire developed by Compeau and Higgins (1995), System Functionality and Content Feature Questionnaire developed by Pituch and Lee (2006), Interaction Questionnaire developed by Johnston, Killion and Oomen (2005), Learning Climate Questionnaire developed by Chou` and Liu (2005) and Learning Satisfaction Questionnaire developed by Chou and Liu (2005). In order to determine the possible relationship between variables and to predict the changes in the degree of satisfaction, we made use of correlational procedures and step-wise regression analysis. The results indicated that all the socio-cognitive variables have a positive and significant correlation with learning satisfaction. Out of the socio-cognitive variables in question, Computer Self-Efficiency, Performance Expectation and Learning Climate significantly explained 53% of the variance of learning satisfaction.


Learning Satisfaction, Computer Self-Efficiency, Performance Expectation and Learning Climate, System Functionality.

Paper Details

Paper Details
Topic Elementary Education
Pages 613 - 626
Issue IEJEE, Volume 9, Issue 3
Date of acceptance 13 March 2017
Read (times) 209
Downloaded (times) 140

Author(s) Details

Mohammad Reza FIROOZI

Yasouj University, Iran


Yasouj University, Iran

Maryam JOKAR

Yasouj University, Iran


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