The current research was conducted with the aim of investigating Relationship between life expectancy and psychological well-being students During the corona era of 2020-2021. The current research method was quantitative and correlational. The current research population included 83 students of the last semester of university yadegar Imam Khomeini (RA) psychology in 1399-1400, Based on Morgan's table of whom 68 (61 women and 7 men) were selected as Available a sample. Miller's life expectancy questionnaire (MHS) and Riff's psychological well-being questionnaire (RSPWB) were used as research tools. The method of data collection was library and field. SPSS version 26 software was used to analyze the data. While checking the assumption of normality of the data according to the research method which was correlation, Pearson correlation test was used to confirm or reject the research hypotheses. The results of Pearson's test showed that there is a positive and significant relationship between life expectancy and mental well-being and its dimensions in students during the Corona era of 2020-2021with a probability of 99% (p<0.01). Solutions should be organized along with teaching the concepts and dimensions of life expectancy to improve it and explain the factors affecting it, which will increase the level of life expectancy and psychological well-being of students.

The purpose of the present study was to predict emotional intelligence based on the Prosocial Personality in people aged 16 to 56 living in Tehran during the COVID-19 era with descriptive and correlational methods. 92 people (43 women and 49 men) were selected from among the 16 to 56-year-old people living in Tehran during the COVID-19 period of 1400-1401 as the available sample. Data collection was in library and field. Research tools included emotional intelligence questionnaire (MSEIS) and Prosocial Personality (PSB). Due to the spread of the COVID-19 virus and to prevent the spread of the disease, relevant questionnaires were created through the Porsall system, and the link was provided to the participants for answering. The research data was analyzed using SPSS-26 software with two methods of descriptive statistics and inferential statistics. In descriptive statistics, mean, standard deviation, frequency tables and relevant charts were used, and in inferential statistics, according to the research method, regression and Pearson tests were used to check research hypotheses. The results of the regression test of the main hypothesis of emotional intelligence and Prosocial Personality are significant (r=0.000) and Prosocial Personality predicts 14% of emotional intelligence changes in people. Also, the sub-hypotheses of the research showed that there is a positive and significant relationship between emotional intelligence and its dimensions, including evaluation of emotions in oneself and others, regulation of emotions and perception and understanding of emotions with a Prosocial Personality with a probability of 99% (P<0.01).