ATTITUDE OF STUDENTS TOWARDS LEARNING AFTER COVID-19 LOCKDOWN

Abstract

The main objective of this study was to explore the attitude of students towards learning after covid-19 lockdown. For this purpose the research reviewed the literature detail study of related books and different articles. It was observed in detail about the mental health attitude of students, virtual learning and practical skills after covid-19 lockdown. A survey method was adopted to collect information from the respondents. On the basis of objectives, these research questions were also formed like (1) what factors contributed to pupils' mental health and attitude toward learning after the COVID-19 lockdown? (2)What impact does virtual learning have on students after the COVID-19 lockdown? (3)What practical skills are students losing, and how are they feeling after the COVID-19 lockdown?
 The population in this study were students in higher education of all public and private universities in Sahiwal division. A sample consisting of 415 students from both public and private universities was chosen. The researcher used the convenience sampling method to choose the sample. After going over the literature review, the researcher made a questionnaire, the questionnaire consisted of 22 questions with demography covering the student’s attitudes towards mental health, virtual learning and practical skills after covid-19 lockdown. Questionnaire’s validity and reliability was checked through getting experts’ opinions and conducting pilot testing. Reliability occurred as (α=.87) which confirmed that the tool is reliable and suitable for data collection from a large sample. After the feedback from the respondents the drawbacks of the questionnaire was observed and modified .For reliability analysis Cranach’s alpha coefficient was computed through SPSS version 16 which was found 0.87 pointed towards the tool was trust worthy for the data assembling .Statistical package for social sciences (SPSS) version 16 and MS Excel 2007 were used for data analysis . Later on, the data were coded and these codes were entered into SPSS for applying relevant tests related to descriptive as well as inferential statistics. Finally to compare students' opinions according to their gender, location, discipline, institution, age, and qualification in order to determine any differences. To analyse the data, a one-way ANOVA and an independent sample t-test were used.