Evaluation of the effectiveness of environmental education to IT department of Samen Credit Institue to design green data center to develop using renewable energy and environmentally friendly technologies

Message:
Abstract:
Background And Objective
This study was implemented in 1393, aimed to evaluate reaction, learning and behavior of learners from training course and empowerment SAMEN Credit Institu IT staff to design green data center with the aim of developing the use of renewable energy and environmentally friendly technologies.
Green data centers are the building for storage, management and dissemination of data, which have the highest efficiency in infrastructure design to minimize wasted resources of electricity and to achieve maximum efficiency with minimal environmental impact.
Method
By the Cochran formula, 40 persons among the 45 of SAMEN Credit Institute and Samen Ertebat ASR IT experts had been considered (2014).
Given the choice Kirkpatrick model, at the end of the training course, evaluation questionnaires designed in behaving and reactive level had been given to learners. Due to checking the learning level, learning questionnaires had been given to learners before and after the course. In order to analyze the data and confirm the research hypotheses, descriptive statistics (mean and frequency) and inferential statistics (KS, T-dependent and T one sample tests) were analyzed by SPSS software.
Findings:Given the results of these tests, learners from teacher, contents, features and timing of course were satisfied and the education and empowerment of employees in the reaction, learning behavior has also led to increased knowledge and learning.
Discussion and
Conclusion
After the training, skills, thoroughness in completing tasks, work morale, job satisfaction, resolve work problems and use of learning increased and this course from a behavioral perspective lead to the desired results for improve the design of green data center.
Language:
Persian
Published:
Journal of Environmental Sciences and Technology, Volume:19 Issue: 3, 2017
Pages:
173 to 194
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