Document Type : scientific-research
Author
Member of faculty Payame Noor University
Abstract
The conditions of the corona virus forced online education with LMS (learning management system). The main purpose of this research is to investigate the desirability of the quality of electronic education of Payam Noor University from the students' point of view of ISFAHAN LMS. The current research is a survey. The research tool was the USELEARN questionnaire and the checklist of the National Learning Association website. The statistical population includes all students who were studying at the Bachelor's degree and Master's degree (LMS) in the 2023 at Payam Noor University through electronic education. The simple random sampling method was used. The sample size was 384 students.
Benson et al.'s and Salmon's models have been used to evaluate the quality indicators and components of Payam Noor University's electronic education. The average values of the ratings showed that the indices of "Professor", Information Technology" and "University Support" had the highest average and the most importance, and the index of "Contextual Factors" had the least importance.
Based on the ratio test, the factors "teacher ", "electronic interaction” and “Access to facilities” are desirable factors.”University support and support" has been evaluated as a low desirability. There is a significant difference between the evaluations of the desirability of the quality of e-learning indicators and gender.
Multivariate regression analysis showed that among the independent variables entered into the equation, the variables of the “Electronic lesson score”, “The teacher's interest and friendly behavior toward all students”, “Inviting students to use electronic education”, “Evaluation of face-to-face training” and” Ease of use of electronic education system” have the greatest impact on evaluating the desirability of electronic education that could explain 73% of the variance of the changes related to the dependent variable. The variables have been able to explain 73% of the variance of changes related to the dependent variable.
Keywords
Main Subjects
Article Title [Persian]
مطلوبیت مولفه‌های کیفیت آموزش الکترونیک دانشگاه پیام نور از منظر دانشجویان LMS استان اصفهان
Author [Persian]
- مژده کیانی
Abstract [Persian]
هدف اصلی این پژوهش بررسی مطلوبیت کیفیت آموزش الکترونیکی دانشگاه پیام نور از دید دانشجویان است. پژوهش حاضر، پیمایشی است. ابزار پژوهش، پرسشنامه‌ی یوزلرن و چک لیست سایت انجمن ملی یادگیری بود. جامعه آماری این پژوهش شامل کلیه دانشجویانی است که سال تحصیلی 1402 در دانشگاه پیام نور از طریق آموزش الکترونیک شاغل به تحصیل در مقطع کارشناسی و کارشناسی ارشد LMS استان اصفهان بودند. از روش نمونه گیری تصادفی ساده استفاده شد. حجم نمونه تعداد 384 دانشجو بود. از مدل بنسون و همکاران و سالمون برای ارزیابی شاخص ها و مولفه های کیفیت آموزش الکترونیک دانشگاه پیام نور استفاده شده است. مقادیر میانگین رتبه‌ها نشان داد که شاخص‌های " استاد "، فناوری اطلاعات" و " پشتیبانی و حمایت دانشگاه " با بالاترین میانگین و بیشترین اهمیت و شاخص "عوامل زمینه ای" کمترین اهمیت را به خود اختصاص داده است. بر اساس آزمون نسبت، "استاد"، "دسترسی به امکانات" و "تعامل الکترونیک" از میان عوامل مورد بررسی، از از مطلوبیت بالایی برخوردارند. "پشتیبانی و حمایت دانشگاه" با مطلوبیت کم ارزیابی شده است. بین ارزیابی مطلوبیت کیفیت شاخص‌های آموزش الکترونیکی، بر اساس جنس، تفاوت معنادار وجود دارد.
تحلیل رگرسیون چند متغیره نشان داد از بین متغیرهای وارد شده به معادله، متغیرهای نمره آزمون الکترونیک، رفتار دوستانه استاد با دانشجویان، و سهولت دسترسی به سیستم آموزشی و چگونگی ارزیابی آزمون و آموزش حضوری، توانسته اند 73درصد از واریانس تغییرات مربوط به متغیر وابسته را تبیین نمایند.
Keywords [Persian]
- آموزش الکترونیک
- ارزیابی مطلوبیت
- کیفیت شاخص‌های آموزش الکترونیک
- LMS
References
- Al-Fraihat Dimah, Joy Mike, Ra’ed Masa’deh, Sinclair Jane. (2019). Evaluating E-learning Systems Success: An Empirical Study. Computers in Human Behavior. https://doi.
- org/10.1016/j.chb.2019.08.004
- Anarinejad Abbas, Mohammadi Mahdi. (2013). Practical indicators of e-learning evaluation in Iran's higher education. Interdisciplinary Journal of Virtual Learning in Medical Sciences (IJVLMS). Spring 2013, Volume 5, Number 1; 11-25
- Aung, T. N., & Khaing, S. S. (2016). Challenges of implementing e-learning in developing countries: A review. In T. Zin, J. W. Lin, J. S. Pan, P. Tin, & M. Yokota (Eds.), Genetic and evolutionary computing (pp. 405–411). Cham: Springer.
- Awang, H., Osman, W. R. S., and Aji, Z. M. (2018). A conceptual model to evaluate virtual learning environment among Malaysian teachers. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 59-63.
- Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855.
- Dessoff, A. (2012). A new survey reports most states anticipate major challenges in implementing the online assessments. District Administration. Http: //www. District administration. Com/article/report-majorchallenges-future-online-assessments.
- Ebrahim Abadi Hossein. (2008). Internet usage pattern: learning environment and cultural and social context. Iranian cultural research. Number 3
- Eom, S. B., and Ashill, N. J. (2018). A system's view of e‐learning success model. Decision Sciences Journal of Innovative Education, 16(1), 42-76.
- Hadullo, K., Oboko, R., & Omwenga, E. (2017). A model for evaluating e-learning systems quality in higher education in developing countries. International Journal of Education and Development Using Information and Communication Technology, 13(2), 185–204.
- Kearns, R. (2012) student assessment in online learning: challenges and effective practices. MERLOT Journal of Online Learning and Teaching, 8 (3), 28-32.
- Liu, O. (2011). Outcomes Assessment in Higher Education: Challenges and Future Research in the Context of Voluntary System of Accountability. Educational Measurement: Issues and
- Practice Fall, 3 (7) 3, 2–9.
- Javadi Bora, Mohammad Ali, Hossein Najafi, Mohammad Reza Sarmadi, Reza Nowruzzadeh (2012) Identification of factors influencing the acceptance of distance education technology among students of Payam Noor University of Information and Communication Technology in the third year of educational sciences. Number 3 (11 in a row)
- Jahanian Ramadan, the validity of the bloom. (2011). Evaluating the status of virtual education in electronic education centers of Tehran universities from the students' point of view. Information and communication technology in educational sciences. Volume 2, Number 4 (consecutive 8). 53-65.
- Mirzabigi and Fatemian. (2014). Comparison of the effect of electronic education and traditional education on cognitive learning (case study: Kashan University undergraduate physics students) social sciences. 9th year, number 1 (28 in a row)
- Mohammad, M. K., Mohibbi, A. A., & Hedayati, M. H. (2021). Investigating the challenges and factors infuencing the use of the learning management system during the Covid-19 pandemic in Afghanistan. Education and Information Technologies, 26, 5165e5198. https://doi.org/10.1007/s10639-021-10517-z
- Rahimi Hamid, Arash Shahin, Razia Aghababai. (2013). Analysis of the quality of virtual and face-to-face education; Amirkabir University. Education strategies. Volume 7, Number 2, Pages 75-81.
- Rezai, Razia. Zarei, Fatima. Tehrani, Hadi. (2017). Examining the use of virtual social networks in learning and teaching from the perspective of professors and students of virtual social networks in education. Nursing research. April and May 2017, period 13, number 1. 1-9
- Sayaf, A. M. (2023). Adoption of E-learning systems: An integration of ISSM and constructivism theories in higher education. Heliyon, 9(2).
- Saad Mohammadi, Masoumeh. Sarmadi, Mohammadreza. Faraj Elahi, Mehran. Ghorbania, Arash (2013). Studying the status of virtual higher education in terms of education services provided in Iran. Research in educational systems. ninth year Number 29
- Sanyaei, Ali. Salimian, Hamida, (2012). Analysis of factors affecting the acceptance of virtual education with emphasis on internal factors. Education Technology. Volume 7, Number 3, Page 149-158
- Toring, H., Legaspi, G., Omolon, J., Amadeo, R., Amadeo, E., Opolentisima, Q., ... & Cortes, S. (2023). Evaluation of students’ satisfaction toward an adopted learning management system at Indiana Aerospace University: A structural equation modelling approach. Asia Pacific Management Review.
- Yawson David Eshun, Yamoah Fred Amofa.)2021). Gender variability in E-learning utility essentials: Evidence from a multi-generational higher education cohort. Computers in Human Behavior journal homepage: http://www.elsevier.com/locate/comphumbeh.
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