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Showing 2 results for Cloud Computing
Mr Firouz Nouri Kalkhoran , Professor Kourosh Fathi Vajargah, Dr Abasalt Khorasani, Dr Amir Reza Asnafi,
Volume 12, Issue 1 (5-2019)
Abstract
Introduction: The cloud computing and services, as a technological solution for developing educational services, can accelerate the provision and expansion of these highly useful services. This study intended to provide an overall picture of practical areas of learning services based on cloud computing teaching and learning equipment.
Methods: This was a theoretical hybrid research study in which a series of semi-structured interviews were conducted on organizational teaching and learning experts in order to identify the collection and elements of cloud-computing-based learning services. The participants were selected during the interviews via the theoretical sampling.
Results: The interviews were organized using the open coding method. The test-retest reliability method was used to calculate the coding reliability of specialized interviews, and the PAQ was equal to 0.83, indicating the high internal consistency. In the second stage, the IM and ISM methods were used to cohere data and determine the relationship of the teaching and learning services based on cloud computing. In the third (quantitative) stage, the analytic hierarchy process (AHP) and Expert Choice were used to weight these series of teaching and learning services.
Conclusions: Based on the consensus of opinions, a comprehensive model of cloud-computing-based learning services was developed. Its major components in order of importance were learning management support (0.247), teaching support (0.208), teaching and learning tools (0.207), secondary teaching and learning support (0.206), and pre-teaching and pre-learning support and learner analysis (0.066).
Keramat Allah Nouri Hasan, Abdohlreza Sobhani, Gholamreza Hashemzade Khorasgani, Ghnabar Abbaspour Esfadan, Zeinab Sadat Javadi,
Volume 14, Issue 5 (12-2021)
Abstract
Abstract
Introduction: Intelligent education is one of the common features in educational environments that is due to the emergence of emerging technologies. IoT and cloud computing are two new technologies that can be used to improve the quality of education. The purpose of this study is to validate the pattern of improving the quality of education using the Internet of Things and cloud computing in smart schools.
Method: In the first stage, a qualitative study with the data theory approach of the Foundation was conducted in the spring of 2009 on 26 specialists in Internet of Things, cloud computing and intelligence, while observing the confidentiality of the information of the interviewees. In the second stage, to validate the presented model, the content validity of Lavache was used and 19 experts answered the questionnaire that was prepared to validate the presented model.
Finding: The results of model analysis and validation in 5 axes are: intervening factors with 4 main categories and 0.46 validity, background conditions with 3 main categories and 0.67 validity, causal conditions with one main category and validity 0.32, Strategies with 9 main categories and validity of 0.7 and consequences with 2 main categories and validity of 0.56.
Conclusion: Findings showed that the model of improving the quality of education with the approach of the Internet of Things and cloud computing in the intelligence of schools in general has a good reputation. The validation of the model showed that using emerging technologies (Internet of Things, cloud computing) in school intelligence can improve the quality of education in schools..
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