Analyzing psychological resilience in college students: A decision tree model.

In the evolving landscape of higher education, particularly in the post-pandemic era, it is crucial for college students to face societal challenges and achieve success by understanding and predicting psychological resilience. To deepen our understanding of psychological resilience, this study used a decision tree model to explore influencing factors. We surveyed 776 college students and collected data on demographic information, self-esteem, sense of school belonging, pro-environmental behavior, subjective well-being, internet game addiction, life autonomy, and academic procrastination using several scales.

Preschool teachers' knowledge, beliefs, and self-efficacy concerning autism: A parallel mixed-methods study of an intervention to improve autism identification.

Preschool teachers can play a critical role in early detection of autism. Equipping preschool teachers with prerequisite knowledge and skills would allow them to identify children with probable autism and referral to diagnostic services. This study aimed to investigate the impact of an educational module (EMiASD) that prepared preschool teachers to identify autism symptoms.

Sustainable impact of COVID-19 on education projects: aspects of naturalism.

History records show that pandemics and threats have always given new directions to the thinking, working, and learning styles. This article attempts to thoroughly document the positive core of coronavirus 2019 (COVID-19) and its impact on global social psychology, ecological stability, and development. Structural equation modeling (SEM) is used to test the hypotheses and comprehend the objectives of the study.

Critical success factors for epidemic emergency management in colleges and universities during COVID-19: A study based on DEMATEL method.

Colleges and universities are considered as one of the "main battlefields" of epidemic prevention and control, wherein, they have difficulty in clarifying and identifying the critical points for emergency management due to the complexity and multiplicity of influencing factors. Therefore, this study aims to identify the most effective Critical Success Factors (CSFs) for COVID-19 prevention and control in China. This study uses the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method.

Exploring Sources of Satisfaction and Dissatisfaction in Airbnb Accommodation Using Unsupervised and Supervised Topic Modeling.

This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation (LDA) and supervised LDA (sLDA) approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation.