Evaluating the Components of Virtual Education in Order to Improve the Learning Quality of the Students of Islamic Azad University of Tehran ProvinceEvaluating the Components of Virtual Education in Order to Improve the Learning Quality of the Students of

Authors

DOI:

https://doi.org/10.61838/kman.jayps.2.1.28

Keywords:

Quality of Learning, Virtual Education, Efficiency of Education

Abstract

Background and purpose: The rapid and ever-increasing development and changes of science and technology have led to the formation of different educational methods compared to the past, and every educational organization has changed its methods in accordance with these changes in order to adapt to these rapid and growing changes. In such a situation, a successful educational organization is an organization that updates its ever-increasing knowledge, which requires the implementation of new methods such as virtual education and its application to all courses and students of different levels continuously; Therefore, the aim of the present study was to evaluate the components of virtual education in order to improve the quality of learning of the students of Islamic Azad University of Tehran province; Research method: The current research was based on the objective of the applied type and based on the type of data collected, it was of a mixed type (qualitative-quantitative) and the statistical community included all experts and experts who are knowledgeable and proficient in the subject of research in the field of higher education. Non-random purposeful sampling method was used to determine the samples and determine the experts. The statistical population included the students of Islamic Azad Universities in Tehran province. The staged cluster random sampling method was used to determine the sample, and the sample size was determined using the structural equation method. Two documentary and field methods (exploratory interviews and researcher-made questionnaire) were used to collect data. The method of data analysis in the qualitative part of theoretical coding was derived from the data theorizing method. In the quantitative part, data analysis was done in two parts of descriptive and inferential statistics (confirmatory factor analysis and sample t-test). Results: The results of the factor analysis show the components of virtual education in order to improve the quality of students' learning, including the intention to use, usefulness, efficiency and effectiveness, the role of professors and students, the necessary infrastructure, the culture of virtual education, the intention to continue using, ease of teaching and learning, and reducing were educational expenses. Conclusion: The results showed that according to the average difference, which are positive values, it was concluded that the condition of the identified components was favorable.

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References

کوهستانی، حسینعلی؛ اسمعیل‌نیا، مژگان و معقول، علی. (1398). طراحی و اعتبار‌یابی الگوی بهبود کیفی آموزش‌های مجازی به روش آمیخته. نشریه فناوری آموزش و یادگیری، 9(1)، 101-181.

باقرزاده همایی، مهرانگیز. (1393). تأثیر عملکرد آموزش مجازی در تعاملات یاددهی و یادگیری. پژوهشنامه اورمزد، 2(1)، 120-191.

داستانی، میثم. (1393). کووید 19: داستانی جدید در آموزش مجازی دانشگاه‌های علوم پزشکی ایران. نامه به سردبیر. نشریه افق توسعه آموزش علوم پزشکی، 11(1)، 0-1.

دیزجی، منیژه و زینی، مریم. (1392). بررسی تأثیر آموزش‌های مجازی بر توسعه مهارت‌های کارآفرینی زنان دانشگاهی. نشریه رشد فناوری، 11، 90-99.

شفیعی سروستانی، مریم. (1393). بررسی نقش آموزش مجازی معلمان در پی شیوع ویروس کرونا. اولین کنفرانس ملی پژوهش‌های کاربردی در فرایندهای تعلیم و تربیت ایران، میناب.

صفایی نایینی، کاووس؛ نریمانی، محمد؛ کاظمی، رضا و توکل‌زاده، موسی. (1393). اثربخشی روش‌های مصاحبه انگیزشی و آموزش تنظیم هیجان بر کاهش قلدری سایبری و فرسودگی تحصیلی کاربران شبکه‌های اجتماعی مجازی. نشریه روانشناسی مدرسه، 3(1)، 93-103.

عبدوند، ابراهیم؛ مظاهری، جهانگیر و صفری، ... . (1398). جایگاه آموزش کارآفرینی با تأکید بر رویکرد رفتاری در سرفصل‌های رشته زبان و ادبیات فارسی. پژوهش و نگارش کتب دانشگاهی، 29، 20-38.

یاسینی، محبوبه سادات. (1390). به‌کارگیری رسانه در آموزش مجازی. تهران: انتشارات علوم اجتماعی.

علاقه‌بند، علی. (1393). مقدمات مدیریت آموزشی. تهران: روان.

Aheto-Domi, B., Issah, S., & Dorleku, J. E. A. (2020). Virtual Learning and Readiness of Tutors of Colleges of Education in Ghana. American Journal of Educational Research, 8(9), 653-658.

Chui, K. T., Fung, D. C. L., Lytras, M. D., & Lam, T. M. (2020). Predicting at-risk university students in a virtual learning environment via a machine learning algorithm. Computers in Human Behavior, 107, 105584.

Galloway, L., Brown, W., & Arenius, P. (2002). Gender-based differences in entrepreneurial behaviour: A comparative examination of Scotland and Finland. The International Journal of Entrepreneurship and Innovation, 3(2), 109-119.

Galvão, J. L. F. M. (2019). Estudo da atividade antibacteriana do Isoeugenol contra cepas clínicas de Pseudomonas aeruginosa.

Kauppi, S., Muukkonen, H., Suorsa, T., & Takala, M. (2020). I still miss human contact, but this is more flexible—Paradoxes in virtual learning interaction and multidisciplinary collaboration. British Journal of Educational Technology, 51(4), 1101-1116.

Kerimbayev, N. (2016). Virtual learning: Possibilities and realization. Education and Information Technologies, 21(6), 1521-1533.

Lim, C. L., Ab Jalil, H., Ma'rof, A. M., & Saad, W. Z. (2020). Self-Regulated Learning as a Mediator in the Relationship between Peer Learning and Online Learning Satisfaction: A Study of a Private University in Malaysia. Malaysian Journal of Learning and Instruction, 17(1), 51-75.

Neto, S. C. (2017). Combining distance and traditional learning: A study of the use of virtual learning environment objects and massive online open courses in statistics class. International Journal of Information and Education Technology, 7(1), 1.

Rivas, A., Gonzalez-Briones, A., Hernandez, G., Prieto, J., & Chamoso, P. (2021). Artificial neural network analysis of the academic performance of students in virtual learning environments. Neurocomputing, 423, 713-720.

Saleeb, N. (2021). Closing the chasm between virtual and physical delivery for innovative learning spaces using learning analytics. The International Journal of Information and Learning Technology.

Shen, X., Cox, S. R., Adams, M. J., Howard, D. M., Lawrie, S. M., Ritchie, S. J., ... & Whalley, H. C. (2018). Resting-state connectivity and its association with cognitive performance, educational attainment, and household income in the UK Biobank. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(10), 878-886.

Vertesi, A., Dogan, H., & Stefanidis, A. (2020). Usability Evaluation of Virtual Learning Environments: A University Case Study. In Online Teaching and Learning in Higher Education (pp. 161-183).

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Behtooe, L., Sourani Yanchashmeh, R., Imani Golepardsari, M. N., Khoonsari, Y., & Ameri, M. A. (2021). Evaluating the Components of Virtual Education in Order to Improve the Learning Quality of the Students of Islamic Azad University of Tehran ProvinceEvaluating the Components of Virtual Education in Order to Improve the Learning Quality of the Students of. Journal of Adolescent and Youth Psychological Studies (JAYPS), 2(1), 218-330. https://doi.org/10.61838/kman.jayps.2.1.28