
User Experience of NAVID E-learning System in the School of Nutrition and Food Technology of Kermanshah University of Medical Sciences, Iran (2020)
Author(s) -
Seyed Mostafa Nachvak,
Ehsan Sadeghi,
Reza Mohammadi,
Mansour Rezaei,
Hadi Abdollahzad,
Davood Soleimani
Publication year - 2021
Publication title -
educational research in medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2252-0465
pISSN - 2252-0341
DOI - 10.5812/erms.117418
Subject(s) - dependability , likert scale , novelty , medical education , attractiveness , quality (philosophy) , e learning , psychology , computer science , applied psychology , medicine , mathematics education , educational technology , social psychology , developmental psychology , philosophy , software engineering , epistemology , psychoanalysis
Background: With the outbreak of COVID-19 in the world, E-learning systems have been introduced as the main approach to education. E-learning infrastructures (especially the educational system) largely influence the quality of education. Objectives: The present study aimed to investigate the quality of NAVID system as an e-learning system used in Iranian medical universities. Methods: This cross-sectional study was conducted on the faculty members and students who were willing to participate and used NAVID system in the School of Nutrition and Food Technology of Kermanshah University of Medical Sciences, Iran in 2020. The user experience questionnaire (UEQ) was employed to evaluate the quality and efficiency of NAVID e-learning system. The UEQ is a 26-item questionnaire with six domains of attractiveness, perspicuity, efficiency, dependability, motivation, and novelty, which are scored based on a Likert scale (range: +3 to -3). Data analysis was performed in SPSS version 16. Results: In total, 60 participants completed the UEQ of NAVID system. The mean scores of attractiveness, perspicuity, efficiency, dependability, motivation, and novelty were estimated at 0.161 ± 1.350, -0.321 ± 1.305, -0.188 ± 1.169, -0.404±0.999, 0.417 ± 1.248, and -1.101 ± 1.097, respectively. Correspondingly, NAVID e-learning system has poor quality in all the domains of user experience. Conclusions: According to the results, NAVID e-learning system should be improved in all the areas of user experience.