Relationship between learning habits and socioeconomic status : a COVID-19 pandemic study

Abstract

Academic performance of students mostly relies on their existing knowledge, academicians and their teaching approaches, socioeconomic status, and their own efforts [3].Students coming from different socioeconomic statuses may have different levels of motivation and factors that contribute to their learning habits [4]. Their learning habits might need some adjustments to comply with the online learning approach as well as being at home during the pandemic. In some situations, students become less active (physically) as they have to spend more screen time thus interrupting their sleep patterns which can result in loss of cardiorespiratory fitness [5]. To ensure the students' performance do not deteriorate, an early intervention is required by determine the factors involved. Early intervention is crucial to avoid unforeseen circumstances such as failing of subjects, low graduate percentage and also a rise in the depression statistics among students.

Study Habits Developed by Mexican Higher Education Students during the Complexity of the COVID-19 Pandemic

“…This research confirms the findings of other studies in the sense that the pandemic allowed students to apply knowledge that had remained latent during their face-to-face training during the online learning process [28,30,32]. Likewise, the perception that the access and use of digital tools allowed students to detonate competences, and in some cases, study habits [31], which could be useful to improve learning in face-to-face environments, was validated [7].…”

“…He stated that people in the northern region have better economic conditions than those in other regions of the country, which consequently allows them to acquire devices more handily. That is, the socio-economic level determines the acquisition of study habits, since those with more economic resources tend to suffer less from environmental changes and experience a faster adaptation to them [30].…”

“…Some analyzed university students' study habits from the perspective of academic performance and the skills they acquired [29]. Others studied the changes in learning habits by socio-economic status [30], and the relationship between study locations and types of schoolwork performed [31].…”

A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection

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Mental health issues such as depression, anxiety, and stress are common nowadays. The prevalence of mental health issues has increased considerably due to the COVID-19 pandemic, as it caused psychological distress [1][2][3][4]. According to the World Health Organization (WHO), depression is a common mental disorder [5].

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