ArticleFrontiers in psychology2020
Chinese College Students Have Higher Anxiety in New Semester of Online Learning During COVID-19: A Machine Learning Approach.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.Cadernos de saude publica · 2024Pooled it
- A systematic review of the mental health changes of children and young people before and during the COVID-19 pandemic.European child & adolescent psychiatry · 2023Pooled it
- The prevalence of depressive symptoms, anxiety symptoms and sleep disturbance in higher education students during the COVID-19 pandemic: A systematic review and meta-analysis.Psychiatry research · 2021Pooled it
- Post-secondary Student Mental Health During COVID-19: A Meta-Analysis.Frontiers in psychiatry · 2021Pooled it
- Biophilic classroom environments on stress and cognitive performance: A randomized crossover study in virtual reality (VR).PloS one · 2023Trial
- Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model.Interactive journal of medical research · 2024Article
- Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model.BMC psychology · 2024Article
- Potentials of arts education initiatives for promoting emotional wellbeing of Chinese university students.Frontiers in psychology · 2024Article
- Public perception of psychiatry, psychology and mental health professionals: a 15-year analysis.Frontiers in psychiatry · 2024Article
- The Impact of the COVID-19 Pandemic on Orthodontic Adult Patients' Characteristics and Decision on Orthodontic Appliance.Journal of multidisciplinary healthcare · 2024Article
- Understanding students' self-regulated learning and anxiety in online English courses in higher education.Heliyon · 2023Article
- Automatic anxiety recognition method based on microblog text analysis.Frontiers in public health · 2023Article
- A Turf-Based Feature Selection Technique for Predicting Factors Affecting Human Health during Pandemic.Life (Basel, Switzerland) · 2022Article
- Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis.JMIR formative research · 2022Article
- Article
- The effect of the Covid-19 pandemic on the mental health of students and teaching staff.Heliyon · 2022Article
- Effect of COVID-19 outbreak on anxiety among students of higher education; A review of literature.Current psychology (New Brunswick, N.J.) · 2022Article
- Mental Health and Loneliness in University Students During the COVID-19 Pandemic in Germany: A Longitudinal Study.Frontiers in psychiatry · 2022Article
- Cross-lagged relationship between anxiety, depression, and sleep disturbance among college students during and after collective isolation.Frontiers in public health · 2022Article
- Do learners with higher readiness feel less anxious when studying online at home?Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has caused tremendous loss starting from early this year. This article aims to investigate the change of anxiety severity and prevalence among non-graduating undergraduate students in the new semester of online learning during COVID-19 in China and also to evaluate a machine learning model based on the XGBoost model. A total of 1172 non-graduating undergraduate students aged between 18 and 22 from 34 provincial-level administrative units and 260 cities in China were enrolled onto this study and asked to fill in a sociodemographic questionnaire and the Self-Rating Anxiety Scale (SAS) twice, respectively, during February 15 to 17, 2020, before the new semester started, and March 15 to 17, 2020, 1 month after the new semester based on online learning had started. SPSS 22.0 was used to conduct
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