Xinyang Hu
Dados Biográficos
| ID | 4627918 |
|---|---|
| NOME | Xinyang Hu |
| PRENOMES | Xinyang |
| SOBRENOME | Hu |
| ASSINATURA | HU X |
| AFILIAÇÕES | Zunyi Medical University |
| ORCID | 0000-0002-8861-2567 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2025 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Identifying central behavioral and psychological symptoms associated with care time in older adults with dementia: A network analysis
Background: While behavioral and psychological symptoms of dementia (BPSD) are generally associated with care time, the strength and nature of these associations may vary across individual symptoms. Aim: To examine these nuanced associations using a network perspective among older adults with dementia, thereby yielding more comprehensive insights. Design: A cross-sectional study design was employed. Methods: Between December 2022 and May 2023, 20…
The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: A qualitative study of undergraduate nursing students
Background: While Generative Artificial Intelligence (Gen AI) is increasingly applied in nursing education, research on undergraduates' perceptions, experiences, and impacts remains limited. Objective: This study aims to explore undergraduate nursing students' perceptions of the strengths, weaknesses, opportunities, and threats (SWOT) associated with Gen AI through qualitative research methods. Methods: Using the SWOT analysis framework as the th…
The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students: A single-center cross-sectional survey of western China
Background: Generative artificial intelligence (Gen AI) is rapidly permeating the fields of education and healthcare, with increasing impact on nursing education. Understanding nursing students' acceptance of Gen AI and the challenges they face is essential for optimizing future curriculum design. Objective: This study aimed to assess the current usage, knowledge level, attitudes, and perceived challenges of Gen AI among undergraduate nursing stu…
Factors Influencing Science Teachers' Professional Development: A Cultural‐Historical Activity Theory Perspective
Exploring the factors influencing science teacher professional development (STPD) and their interactions may provide insight into promoting professional development and improving science education. However, existing research mainly focuses on STPD in larger domains, such as individual, external, and contextual, without paying systematic attention to the connections between internal elements within domains. Therefore, this study utilized the cultu…
The impact of self-affirmation interventions on well-being: A meta-analysis
Previous research on self-affirmation has mainly focused on outcomes related to academic achievement and health-related behavior changes, suggesting that self-affirmation could facilitate adaptive responses to psychological threats. This has attracted increasing attention in the field of well-being research. However, the findings on the relationship between self-affirmation and well-being have not been synthesized. This meta-analysis aimed to fil…
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The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: A qualitative study of undergraduate nursing students
Background: While Generative Artificial Intelligence (Gen AI) is increasingly applied in nursing education, research on undergraduates' perceptions, experiences, and impacts remains limited. Objective: This study aims to explore undergraduate nursing students' perceptions of the strengths, weaknesses, opportunities, and threats (SWOT) associated with Gen AI through qualitative research methods. Methods: Using the SWOT analysis framework as the th…
The current status, knowledge, attitudes, and challenges of generative artificial intelligence use among undergraduate nursing students: A single-center cross-sectional survey of western China
Background: Generative artificial intelligence (Gen AI) is rapidly permeating the fields of education and healthcare, with increasing impact on nursing education. Understanding nursing students' acceptance of Gen AI and the challenges they face is essential for optimizing future curriculum design. Objective: This study aimed to assess the current usage, knowledge level, attitudes, and perceived challenges of Gen AI among undergraduate nursing stu…
Factors Influencing Science Teachers' Professional Development: A Cultural‐Historical Activity Theory Perspective
Exploring the factors influencing science teacher professional development (STPD) and their interactions may provide insight into promoting professional development and improving science education. However, existing research mainly focuses on STPD in larger domains, such as individual, external, and contextual, without paying systematic attention to the connections between internal elements within domains. Therefore, this study utilized the cultu…
The impact of self-affirmation interventions on well-being: A meta-analysis
Previous research on self-affirmation has mainly focused on outcomes related to academic achievement and health-related behavior changes, suggesting that self-affirmation could facilitate adaptive responses to psychological threats. This has attracted increasing attention in the field of well-being research. However, the findings on the relationship between self-affirmation and well-being have not been synthesized. This meta-analysis aimed to fil…
Identifying central behavioral and psychological symptoms associated with care time in older adults with dementia: A network analysis
Background: While behavioral and psychological symptoms of dementia (BPSD) are generally associated with care time, the strength and nature of these associations may vary across individual symptoms. Aim: To examine these nuanced associations using a network perspective among older adults with dementia, thereby yielding more comprehensive insights. Design: A cross-sectional study design was employed. Methods: Between December 2022 and May 2023, 20…
MEDLINE (3 obras) · Psychological intervention (3 obras) · AI in Service Interactions (2 obras) · Artificial Intelligence in Healthcare and Education (2 obras) · Computer Science (2 obras) · Generative grammar (2 obras) · Psychology (2 obras) · Simulation-Based Education in Healthcare (2 obras) · Social support (2 obras) · Sociology (2 obras)