key: cord-0805747-vd05qmnm
authors: Fesol, Siti Feirusz Ahmad; Arshad, Mohd Mursyid
title: Sociodemographic and Psychological Study on Performance of Students for The Covid-19 Aftermath Dataset.
date: 2020-10-17
journal: Data Brief
DOI: 10.1016/j.dib.2020.106421
sha: 5be19cce1493fa0d3a1a44a0705bf755c7d9d120
doc_id: 805747
cord_uid: vd05qmnm

This paper presents the dataset of undergraduates learning habits during and before the occurrence of pandemic COVID-19 under the scope of sociodemographic and psychological aspects. This dataset consists of four (4) main sections which are students' demographic, psychological disruption, students' learning habits and integration of online sessions with sustainability topics. A total of 37 variables were distributed via an online survey platform. The link of the online survey was circulated to the students using few social media platforms such as WhatsApp groups, Telegram, and faculties' Facebook starting from June 1 until June 31, 2020. There was a total of 668 respondents accompanied by consent were agreed to join the survey. This dataset can have an important role for research and education in identifying the impact on learning performance among the undergraduate students during COVID-19 pandemic based on different sociodemographic and psychological aspects.

The landscape of education sector around the world has drastically changed due to the spread of the Novel Corona Virus Disease 2019 or Covid-19 [1] . Thus, online digital learning has taken place to support the continuation of teaching and learning process during the pandemic, which has eventually impacted the students' learning habits [2, 3] . In response to this, this dataset [4] describes undergraduates learning habits before and during the occurrence of COVID-19 pandemic and its mediating factors, which include the learning hours, different socioeconomic status, students' perception of psychological disruption, students' perception of the necessity of self-learning and the self-motivation factors that support students' effective learning. The target respondents of this survey [4] were undergraduate students from a public university in Malaysia, across different faculties, who are their learning affected due to COVID-19. Table 1 shows the descriptive statistics of students' demographics. The demographics items consist of gender, current year of study, level of study, reside area, occupation sector of head of family, occupation field of the head of family, and total family income per month. The minimum and maximum column reflected as the minimum and maximum value answered by the user for each demographic's items. Table 2 summarizes a cross tabulation results between students' demographics and learning habits measure by learning hours each student used per day before and during the pandemic COVID-19. The learning hours were categorized into three (3) groups which are less than 4 hours per day, 4 to 8 hours per day, and more than 8 hours per day.

Crosstab results between students' demographics and learning habits (hours per day). Next, Table 3 shows the descriptive results of psychological disruption faced by the students which measured by the students' experienced on certain scenario which are their health care access, internet access, ability to pursue studies, ability to socialize, and their overall psychological wellbeing, including and/or depression. Following, Table 4 shares on the students' perception on self-learning which measured by necessity towards the self-learning during COVID-19 and self-learning effectives aspect.

Descriptive statistics of students' perception on self-learning. [4] . The complete survey form can be found in the supplementary file. 

This dataset [4] consist of four (4) main sections which are Section A related to students' demographic, Section B related to psychological disruption, Section C related to students' learning habits, and Section D related to integration of online sessions with sustainability topics adopted from [5] and [6] . A survey form consist of 37 items were distributed via an online survey. The link of the online survey was circulated to the students from the respective lecturers using few social media platforms. Such as WhatsApp groups, Telegram groups, and faculties' Facebook starting from June 1 until June 31, 2020. There was a total of 674 feedback was collected however, 6 of them are refused to join the survey. The remaining 668 respondents accompanied by consent were agreed to join the survey.

The data were first gone through a data cleaning process to identify missing values and performed corrective action with regards to it. Next, the data were analyze using frequency analysis (see Table 1 ). For the purpose to analyze the difference in students' learning habits before and during pandemic COVID-19, a cross tabulation analysis was conducted between students' demographics variables and learning habits variables (see Table 2 ).

A summary statistic for students' perception on the level of their psychological disruption, the necessity towards self-learning, and additional knowledge with regards to sustainability topics during COVID-19 datasets are presented in Table 3 -5. These statistics were obtained using descriptive analysis as suggested by [5] .

An informed consent was obtained for experimentation with human subjects. All the respondents were asked for their consent before they can answer the survey.

Toward Sustainable Learning during School Suspension: Socioeconomic, Occupational Aspirations, and Learning Behavior of Vietnamese Students during COVID-19

The psychological impact of the COVID-19 epidemic on college students in China

Study on Performance of Students for The Covid-19 Aftermath Dataset

Dataset of Vietnamese student's learning habits during COVID-19

Covid-19 Diaries: Early Impressions from an Online Questionnaire. Retrieved from Covid-19 and Student Focused Concerns: Threats and Possibilities

The authors are deeply grateful to all the students who participated in this study, as well as the lecturers who involved in the data collection process. We also would like to acknowledge the support from Research and Industrial Linkages of Universiti Teknologi MARA Melaka through the Internal TEJA Grant (Ref. No.: GDT2020-33) for sponsoring the research.

The authors would like to acknowledge the support from Research and Industrial Linkages of Universiti Teknologi MARA Melaka through the Internal TEJA Grant (Ref. No.: GDT2020-33) for sponsoring the research.