Miaomiao Chen
Biographic Data
| ID | 4070655 |
|---|---|
| NAME | Miaomiao Chen |
| GIVEN NAMES | Miaomiao |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN M |
| AFFILIATIONS | Hunan University of Traditional Chinese Medicine |
| ORCID | 0000-0002-8384-6452 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Understanding How Technology Acceptance Relates to Programming Self-Efficacy in AI-Supported Programming Learning: The Roles of Learning Interest, Engagement, and Reflective Use
This study explored the relationship between technology acceptance and programming self-efficacy in the context of AI-supported programming learning, with learning engagement, reflective use, learning interest, and learning satisfaction acting as potential mediators. A total of 131 high school students participated in three weeks of AI agent-assisted programming learning and completed a questionnaire after the intervention. A cross-sectional, non…
Can environmental signals influence dietary Behaviours?The impact of governmental green development attention on dietary diversity among older adults
Against the backdrop of simultaneous national agendas for green transition and healthy ageing, the nutritional behaviour of older adults is being reshaped by emerging forms of institutional governance. Drawing on four waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS, 2008, 2011, 2014, and 2018), which are linked to the full texts of provincial government work reports from 22 provinces, this study constructs an index of "governmen…
Global, regional, and national burden of colorectal cancer associated with diet high in red meat, 1990 to 2021: An analysis for the global burden of disease study and prediction to 2036
To evaluate the global, regional, and national burden of colorectal cancer (CRC) attributable to diets high in red meat from 1990 to 2021, project trends to 2036, and stratify findings by age, sex, and Sociodemographic Index (SDI). Data on CRC burden associated with diet high in red meat were extracted from the Global Health Data Exchange (GHDx). Age-standardized rates (ASR) and estimated annual percentage change (EAPC) were calculated to assess …
Digital prejudices: An analysis of gender, racial and religious biases in generative AI chatbots
Purpose The purpose of this paper is to investigate gender, racial, and religious biases among four popular Generative AI (GAI) chatbots, namely ChatGPT3.5, ChatGPT4, Gemini, and Bing Chat. Design/methodology/approach Based on existing literature, this paper develops the Bias Assessment Test Set (BATS) comprising 900 closed-ended prompts and 12 pairs of open-ended prompts related to gender, race, and religion. A total of 34,227 numerical response…
The impact of personality traits and AI literacy on the adoption intentions of AI among design faculty in Chinese higher education
This study utilizes a dual-perspective framework that integrates stable individual differences (Big Five personality traits) and developable technological competencies (AI literacy). Drawing on the Theory of Planned Behavior (TPB) and Innovation Resistance Theory (IRT), it constructs both a "cognitive empowerment pathway" and a "psychological resistance pathway" to systematically reveal the behavioral intention mechanisms underlying the adoption …
The design industry in the AI era: How AI awareness and AI literacy influence the innovative work behavior of Chinese Generation Y designers
Archetypes of influential users in social question-answering sites
Purpose This paper seeks to address the following two research questions. RQ1: What are the influential user archetypes in the social question-answering (SQA) community? RQ2: To what extent does user feedback affect influential users in changing from one archetype to another? Design/methodology/approach Based on a sample of 13,840 influential users drawn from the Covid-19 community on Zhihu, the archetypes of influential users were derived from t…
The Fear of Covid-19 Scale: Psychometric properties and measurement invariance across 10 months
The coronavirus disease 2019 (COVID-19) has led to various negative consequences including fear. The Fear of COVID-19 Scale (FCV-19S) has been widely used in diverse cultures, but no study has ever investigated its longitudinal measurement invariance and predictive validity. Therefore, we examined its longitudinal measurement invariance and predictive validity over 10 months. A sample of Chinese undergraduates ( N = 682; first wave 842; 682 secon…
Severity assessment and the early warning mechanism of public events based on the comparison of microblogging characteristics
Purpose The purpose of the study is to evaluate the severity of public events in real time from the perspective of social media and to construct the early warning mechanism of public events. Design/methodology/approach This study constructed the severity assessment system of public events from the dimensions of the netizens' role, the Internet media's role, the spread of public events and the attitudes and feelings of netizens. The method of anal…
Shen-Qi-Jiang-Tang granule ameliorates diabetic nephropathy via modulating tumor necrosis factor signaling pathway
Improvement in the neural stem cell proliferation in rats treated with modified “Shengyu” decoction may contribute to the neurorestoration
Improvement in the neural stem cell proliferation in rats treated with modified “Shengyu” decoction may contribute to the neurorestoration
Severity assessment and the early warning mechanism of public events based on the comparison of microblogging characteristics
Purpose The purpose of the study is to evaluate the severity of public events in real time from the perspective of social media and to construct the early warning mechanism of public events. Design/methodology/approach This study constructed the severity assessment system of public events from the dimensions of the netizens' role, the Internet media's role, the spread of public events and the attitudes and feelings of netizens. The method of anal…
Shen-Qi-Jiang-Tang granule ameliorates diabetic nephropathy via modulating tumor necrosis factor signaling pathway
Archetypes of influential users in social question-answering sites
Purpose This paper seeks to address the following two research questions. RQ1: What are the influential user archetypes in the social question-answering (SQA) community? RQ2: To what extent does user feedback affect influential users in changing from one archetype to another? Design/methodology/approach Based on a sample of 13,840 influential users drawn from the Covid-19 community on Zhihu, the archetypes of influential users were derived from t…
The Fear of Covid-19 Scale: Psychometric properties and measurement invariance across 10 months
The coronavirus disease 2019 (COVID-19) has led to various negative consequences including fear. The Fear of COVID-19 Scale (FCV-19S) has been widely used in diverse cultures, but no study has ever investigated its longitudinal measurement invariance and predictive validity. Therefore, we examined its longitudinal measurement invariance and predictive validity over 10 months. A sample of Chinese undergraduates ( N = 682; first wave 842; 682 secon…
Can environmental signals influence dietary Behaviours?The impact of governmental green development attention on dietary diversity among older adults
Against the backdrop of simultaneous national agendas for green transition and healthy ageing, the nutritional behaviour of older adults is being reshaped by emerging forms of institutional governance. Drawing on four waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS, 2008, 2011, 2014, and 2018), which are linked to the full texts of provincial government work reports from 22 provinces, this study constructs an index of "governmen…
Global, regional, and national burden of colorectal cancer associated with diet high in red meat, 1990 to 2021: An analysis for the global burden of disease study and prediction to 2036
To evaluate the global, regional, and national burden of colorectal cancer (CRC) attributable to diets high in red meat from 1990 to 2021, project trends to 2036, and stratify findings by age, sex, and Sociodemographic Index (SDI). Data on CRC burden associated with diet high in red meat were extracted from the Global Health Data Exchange (GHDx). Age-standardized rates (ASR) and estimated annual percentage change (EAPC) were calculated to assess …
Digital prejudices: An analysis of gender, racial and religious biases in generative AI chatbots
Purpose The purpose of this paper is to investigate gender, racial, and religious biases among four popular Generative AI (GAI) chatbots, namely ChatGPT3.5, ChatGPT4, Gemini, and Bing Chat. Design/methodology/approach Based on existing literature, this paper develops the Bias Assessment Test Set (BATS) comprising 900 closed-ended prompts and 12 pairs of open-ended prompts related to gender, race, and religion. A total of 34,227 numerical response…
The impact of personality traits and AI literacy on the adoption intentions of AI among design faculty in Chinese higher education
This study utilizes a dual-perspective framework that integrates stable individual differences (Big Five personality traits) and developable technological competencies (AI literacy). Drawing on the Theory of Planned Behavior (TPB) and Innovation Resistance Theory (IRT), it constructs both a "cognitive empowerment pathway" and a "psychological resistance pathway" to systematically reveal the behavioral intention mechanisms underlying the adoption …
The design industry in the AI era: How AI awareness and AI literacy influence the innovative work behavior of Chinese Generation Y designers
Understanding How Technology Acceptance Relates to Programming Self-Efficacy in AI-Supported Programming Learning: The Roles of Learning Interest, Engagement, and Reflective Use
This study explored the relationship between technology acceptance and programming self-efficacy in the context of AI-supported programming learning, with learning engagement, reflective use, learning interest, and learning satisfaction acting as potential mediators. A total of 131 high school students participated in three weeks of AI agent-assisted programming learning and completed a questionnaire after the intervention. A cross-sectional, non…
Medicine (4 works) · Pathology (3 works) · Psychology (3 works) · Biochemistry (2 works) · Biology (2 works) · Computer Science (2 works) · Disease (2 works) · Internal Medicine (2 works) · Pharmacology (2 works) · Public health (2 works)