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  • Open Access

    REVIEW

    Promoting International Students’ Mental Health Unmet Needs: An Integrative Review

    Carmen Hei Man Shek1,*, Sally Wai Chi Chan2, Michelle Anne Stubbs1, Regina Lai Tong Lee1,3,*

    International Journal of Mental Health Promotion, Vol.26, No.11, pp. 905-924, 2024, DOI:10.32604/ijmhp.2024.055706 - 28 November 2024

    Abstract Background: There are increasing concerns about the mental health needs of international students. Previous studies report that international students experience additional challenges and higher levels of stress compared to domestic students. This integrative review aimed to identify perceived stressors, coping strategies and factors that contributed to accessing mental health services of international students. Methods: A systematic search was performed between January 2010 and December 2023 using PubMed, CINAHL, ProQuest, the Cochrane Library, Scopus and PsycINFO databases. A manual search was also performed that included reference lists of included articles; data was extracted and reviewed by… More >

  • Open Access

    ARTICLE

    Ensemble Deep Learning Framework for Situational Aspects-Based Annotation and Classification of International Student’s Tweets during COVID-19

    Shabir Hussain1, Muhammad Ayoub2, Yang Yu1, Junaid Abdul Wahid1, Akmal Khan3, Dietmar P. F. Moller4, Hou Weiyan1,*

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5355-5377, 2023, DOI:10.32604/cmc.2023.036779 - 29 April 2023

    Abstract As the COVID-19 pandemic swept the globe, social media platforms became an essential source of information and communication for many. International students, particularly, turned to Twitter to express their struggles and hardships during this difficult time. To better understand the sentiments and experiences of these international students, we developed the Situational Aspect-Based Annotation and Classification (SABAC) text mining framework. This framework uses a three-layer approach, combining baseline Deep Learning (DL) models with Machine Learning (ML) models as meta-classifiers to accurately predict the sentiments and aspects expressed in tweets from our collected Student-COVID-19 dataset. Using the… More >

  • Open Access

    ARTICLE

    Stress Coping of Chinese International Students in Face of COVID 19 Pandemic: Cultural Characteristics

    Mian Xia1,2,3,*, Changming Duan4

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 159-172, 2020, DOI:10.32604/IJMHP.2020.011117 - 14 August 2020

    Abstract The purpose of this study was to investigate the stress and coping strategy of Chinese International Students (CISs) during the epidemic, and to explore the relationship between identification with Chinese cultural beliefs and coping strategies, positive experience, negative emotion and need for psychological support. Two hundred and thirty CISs participated in the study by filling out a series of questionnaires that we designed. The series of questionnaires contained six scales: Pandemic Related Stress (PRS), Identification with Chinese Cultural Beliefs (ICCB), Stress Coping Strategy (SCS), Positive Experience (PE) and Negative Emotion (NE) and Need for Psychological… More >

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