Xiangli Guan¹, Yue Zhang², Yang Li¹, Yaqi Zhang^1,*, Jingjing Wang¹, Xuejiao Li¹, Mary C. Jobe³, Md Zahir Ahmed⁴, Oli Ahmed⁵

International Journal of Mental Health Promotion, Vol.25, No.6, pp. 755-766, 2023, DOI:10.32604/ijmhp.2023.027086

Abstract Because of factors such as energy and time one invests in an object, the stronger the connection, value, and reluctance to lose said object individual will have. Hoarding behavior arises when individuals incorporate a strong attachment with themselves to an object. The purpose of this study is to examine the effect of self-investment on hoarding tendency and the roles of possession-self link and liking level in this connection. A hypothetical model of the relationship between self-investment, possession-self link, liking level, and hoarding tendency was tested. A convenience sampling method was used to survey 450 college students in Yunnan Province on… More >

Shabir Hussain¹, Muhammad Ayoub², Yang Yu¹, Junaid Abdul Wahid¹, Akmal Khan³, Dietmar P. F. Moller⁴, Hou Weiyan^1,*

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

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 proposed aspect2class annotation algorithm, we… More >

Ierin Babu^1,*, R. MathuSoothana², S. Kumar²

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3621-3636, 2023, DOI:10.32604/iasc.2023.033791

Abstract Educational Data Mining (EDM) is an emergent discipline that concentrates on the design of self-learning and adaptive approaches. Higher education institutions have started to utilize analytical tools to improve students’ grades and retention. Prediction of students’ performance is a difficult process owing to the massive quantity of educational data. Therefore, Artificial Intelligence (AI) techniques can be used for educational data mining in a big data environment. At the same time, in EDM, the feature selection process becomes necessary in creation of feature subsets. Since the feature selection performance affects the predictive performance of any model, it is important to elaborately… More >

P. Prabhu¹, P. Valarmathie^2,*, K. Dinakaran³

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2989-3005, 2023, DOI:10.32604/iasc.2023.028659

Abstract Supportive learning plays a substantial role in providing a quality education system. The evaluation of students’ performance impacts their deeper insight into the subject knowledge. Specifically, it is essential to maintain the baseline foundation for building a broader understanding of their careers. This research concentrates on establishing the students’ knowledge relationship even in reduced samples. Here, Synthetic Minority Oversampling TEchnique (SMOTE) technique is used for pre-processing the missing value in the provided input dataset to enhance the prediction accuracy. When the initial processing is not done substantially, it leads to misleading prediction accuracy. This research concentrates on modelling an efficient… More >

Shuanghu Fang^*, Mingjie Huang

International Journal of Mental Health Promotion, Vol.25, No.3, pp. 343-356, 2023, DOI:10.32604/ijmhp.2023.027442

Abstract Objectives: The present study examined the relationship between college student’s moral elevation and prosocial behavior. As well as the mediating role of perceived social support and the moderating role of moral identity. Methods: A sample of 489 college students was recruited for the study. They were asked to complete a series of questionnaires, including Moral Elevation Scale (MES), Perceived Social Support Scale (PSSS), Moral Identity Scale (MIS) and Prosocial Tendency Measure (PTM). As part of the data analysis, we used correlation analysis and the method of constructing latent variable structural equation model to explore the mechanism of action among variables.… More >

Chenhao Sun, Shaobei Xiao, Ting Liu, Xiaolin Yuan^*

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 275-286, 2023, DOI:10.32604/ijmhp.2022.017934

Abstract Objective: To study the influence of cognition and emotion on moral judgment of college students under the circumstance of whether the cognitive resources are occupied and whether the emotion is induced. Methods: This experiment uses a multi-factor mixed experiment method to divide experiments and groups. Experiment 1 uses a two-factor mixed experimental design of 2 (cognitive resource occupancy group, cognitive resource non-occupied group) × 3 (difficult situation type). Experiment 2 uses a two-factor mixed experimental design of 2 (emotion induction group, emotion induction and cognitive resource occupation group) × 3 (three types of dilemma situation types) is adopted. The dependent… More >

Jingjing Wang¹, Xiangli Guan^1,*, Yue Zhang², Yang Li¹, Md Zahir Ahmed³, Mary C. Jobe⁴, Oli Ahmed⁵

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 223-235, 2023, DOI:10.32604/ijmhp.2022.025570

Abstract Individuals’ perceptions, attitudes, and patterns of getting along with family members are important factors influencing Chinese people’s self-evaluation. The aim of this study was to investigate the effect of family cohesion on depression and the role of perceived social support and intentional self-regulation in this association. A hypothesized model of the association of family cohesion, perceived social support, intentional self-regulation, and depression was examined. A convenience sampling method was used to survey 1,180 college students in Yunnan Province using self-report. Data were collected using the Family Cohesion Scale, the Perceived Social Support Scale, the Intentional Self-Regulation Scale, and the Center… More >

Dong Yang¹, Chia Ching Tu¹, Zhengyan Guo², Xiao Dai¹, Chia Feng Tu^3,*

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 193-206, 2023, DOI:10.32604/ijmhp.2022.022130

Abstract This study explored the effect of perceived social isolation on the mental health of college students during the high-risk period of COVID-19 transmission in Hubei, China and the role of social support from online friends in alleviating this effect. The questionnaire responses of 213 college students from four universities in Hubei were included. Measurement and structural models were constructed using structural equation modeling. The findings revealed that perceived social isolation while under home quarantine was a negative predictor of the mental health of college students in Hubei. Low social support from online friends may lead to a relatively strong relationship… More >

Michael Galvin^1,2,3,*, Guesly Michel³, Henri-Claude Saintelmond⁴, Carolyn Lesorogol⁵, Jean-François Trani⁵, Lora Iannotti⁵

International Journal of Mental Health Promotion, Vol.25, No.2, pp. 173-191, 2023, DOI:10.32604/ijmhp.2023.018800

Abstract In recent decades, Haiti has been subject to man-made and natural disasters that have left its citizens vulnerable to a range of shocks. With a weak state unable to protect its populace, Haitians are exposed to some of the highest levels of poverty and violence in the Western Hemisphere. In recent years, Haitians have experienced two crises that this study analyzes: the instability and political violence of “peyi lòk” as well as the global pandemic of COVID-19. This community-based assessment explores the impact of these two crises on the mental health and psychological well-being of 38 Haitian university students in… More >

Omer S. Alkhnbashi¹, Rasheed Mohammad Nassr^2,*

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6835-6848, 2023, DOI:10.32604/cmc.2023.034987

Abstract Globally, educational institutions have reported a dramatic shift to online learning in an effort to contain the COVID-19 pandemic. The fundamental concern has been the continuance of education. As a result, several novel solutions have been developed to address technical and pedagogical issues. However, these were not the only difficulties that students faced. The implemented solutions involved the operation of the educational process with less regard for students’ changing circumstances, which obliged them to study from home. Students should be asked to provide a full list of their concerns. As a result, student reflections, including those from Saudi Arabia, have… More >