Analyzing the Effect of COVID-19 on Education by Processing Users’ Sentiments

Abstract

COVID-19 infection has been a major topic of discussion on social media platforms since its pandemic outbreak in the year 2020. From daily activities to direct health consequences, COVID-19 has undeniably affected lives significantly. In this paper, we especially analyze the effect of COVID-19 on education by examining social media statements made via Twitter. We first propose a lexicon related to education. Then, based on the proposed dictionary, we automatically extract the education-related tweets and also the educational parameters of learning and assessment. Afterwards, by analyzing the content of the tweets, we determine the location of each tweet. Then the sentiments of the tweets are analyzed and examined to extract the frequency trends of positive and negative tweets for the whole world, and especially for countries with a significant share of COVID-19 cases. According to the analysis of the trends, individuals were globally concerned about education after the COVID-19 outbreak. By comparing between the years 2020 and 2021, we discovered that due to the sudden shift from traditional to electronic education, people were significantly more concerned about education within the first year of the pandemic. However, these concerns decreased in 2021. The proposed methodology was evaluated using quantitative performance metrics, such as the F1-score, precision, and recall.

Perceived usefulness of Internet of Things (IOT) in the quality of life of special needs and elderly individuals in Saudi Arabia

“…Technology advancements have permeated everyday life and are widespread across different sectors, including health, education, and the economy [ [1] , [2] , [3] ]. Among these emerging technologies is the Internet of Things (IoT), whose presence has become prevalent in various aspects of life and eventually led to the fourth industrial revolution [ 4 , 5 ].…”

“…It is an interconnected home where various digital devices interact with each other over the Internet, thereby aiding in automating the home by making it smart and connected [ 7 ]. Literature has demonstrated the influence of IoTs on different areas of psychology, including special needs [ 1 , 2 ]. In essence, IoT is an emerging technology that relates various devices and systems that are used daily, such as sensors, appliances, actuators, computers, and cellular phones, with other relevant devices and people [ 8 , 9 ].…”

Design and implementation of a virtual teacher teaching system algorithm based on facial expression recognition in the era of big data

“…The international outbreak of novel coronavirus pneumonia in 2020 has made online education the main teaching mode in many countries. Traditional classroom-based education methods have been unable to meet the growing learning needs of people due to various reasons such as time, space, equipment, and teachers [1][2]. With the development of big data, a new education method based on virtual reality technology has emerged, which is very different from the traditional boring single type of teaching, and virtual teaching is a new teaching concept that is in sympathy with the development trend of information technology today [3][4].…”

“…Rui Lu and Feng Ji. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] …”