Prediction of Academic Vitality and Resilience Based on E-Learning Skills by Mediating Role of Students' Academic Excitement in Virtual Education

The aim of this study was to predict academic vitality and resilience based on e-learning skills by mediating role of academic excitement of Arak University students. The statistical population of the study includes all students studying in the first semester of 1400-1399 in Arak University from whom, 365 people were selected by available sampling. Data collection tools including Academic Vitality Questionnaire Hossein Chari and Dehghanizadeh (2012), Martin Academic Resilience Questionnaire (2001), Watkins et al. (2004) e-Learning Questionnaire, And Pekran et al.'s (2005) Academic excitement Questionnaire. Data were analyzed using SPSS software (26) and R software (4.0.2) and hypothesis tested by structural equation model. The results of data analysis showed that e-learning skills can significantly predict students' vitality and academic resilience and academic Excitement (positive and negative) also play an important role in predicting academic resilience and vitality based on e-learning skills.Therefore, it seems that in order to strengthen the resilience and academic vitality of students in virtual education, in addition to strengthening electronic learning skills, it should also be considered to moderate negative emotions and strengthen positive emotions.