Analysis of Remote Learning Challenges During COVID-19 Pandemic on Pakistan’s Education Sector

• Published in: Pakistan Journal of Engineering & Technology
• Main Authors: Yousuf Iqbal, Akmal Khan, Shabir Hussain, Umair Rafiq
• Format: Article
• Language: English
• Published: The University of Lahore 2024-07-01
• Subjects: COVID-19, Remote Learning Difficulties, Education Sector, Comfort Level of Students, Technical Issues
• Online Access: https://journals.uol.edu.pk/pakjet/article/view/2850

The COVID-19 pandemic spread across the world in several days. This disease has badly affected corporations, industries, and educational institutions worldwide. The education sector suffered several crises, around 77 million students were affected and absent from class during the pandemic. Using remote learning during the pandemic was beneficial, but it was difficult to find comfort and dependability. The present study examines the challenges faced by Pakistani students and teachers in remote learning, academic performance, and satisfaction levels of students and teachers who have participated in remote learning during the COVID-19 pandemic. Based on the respondents’ comments, analyzed the demographic data and remote learning data using statistical calculations in the R language, and displayed the results in graphs. It used machine-learning models to calculate sentiment analysis results using the R language. According to the calculation results, the proposed study performs well using a support vector machine (SVM) and neural network (NNET), which give an accuracy of 83.5, while the accuracy of the k-nearest neighbor (KNN) is 69.9. The proposed study formulates suggestions for future work that are useful for improving the outcomes of remote learning.