Bowen Liu
Biographic Data
| ID | 6313336 |
|---|---|
| NAME | Bowen Liu |
| GIVEN NAMES | Bowen |
| FAMILY NAME | Liu |
| SIGNATURE | LIU B |
| AFFILIATIONS | Central China Normal University |
| ORCID | 0009-0006-3342-1495 |
| VERIFIED | Yes |
| TOTAL WORKS | 25 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 25 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Unraveling the factors influencing deep learning in online education: The roles of metacognitive strategies, online learning self-efficacy, creativity-fostering teacher behaviors and self-directed lea…
The rapid development of online learning offers unprecedented opportunities for flexibility and personalization in higher education. However, fostering deep learning in online education remains challenging due to limited interaction and support for students. This study examined how metacognitive strategies (MCS), online learning self-efficacy (OLSE), and creativity-fostering teacher behaviors (CTB) predict students’ deep learning (DL) in online h…
How does generative AI affect self-regulated learning in learners with varying knowledge levels? The role of chatbot design and support timing
Generative AI (GenAI) chatbots can provide on-demand support, but their educational value hinges on how learners regulate its use. Guided by self-regulated learning (SRL) theory, this study examined how two design dimensions of GenAI support shaped students’ learning outcomes, interaction behaviors, and subjective perceptions in physics learning tasks. The sample included 107 students in a 2 × 2 design crossing support timing (immediate vs. delay…
Governance, Innovation, and Complexity: Reassessing Energy Transition and Carbon Outcomes in G8 Economies Through a Quantile‐Based Framework
Energy transition and carbon emissions of G8 economies from 1990 to 2021 are examined in this study, along with the ways in which environmental governance, economic complexity, green innovation, geopolitical risk, and economic growth are influenced. The study identifies distributional differences that mean‐based models often ignore using Method of Moments Quantile Regression. Economic complexity encourages long‐term decarbonization but limits ene…
Income inequality and multimorbidity patterns in China: A micro-level analysis using CHARLS
Introduction: Health inequality-particularly income-related health inequality-poses a global challenge, significantly affecting social and economic well-being. While previous research has investigated the link between income inequality and various health outcomes, including chronic diseases, studies focusing on multimorbidity remain limited. Methods: This study examines how income inequality affects multimorbidity in China, drawing on data from t…
Metacognitive Ability and Learning Burnout in College Students: Chain Mediation Through Learning Engagement
Learning burnout is an important factor affecting the quality of learning. Current research indicates that learning burnout is closely related to metacognitive ability and learning engagement, yet the influencing mechanisms among the three remain unclear. About 431 college students participate in the study. According to self-regulated learning theory and social cognitive theory, this study explores the chain mediating role of learning engagement …
Impact of multimorbidity on household expenditure in China: Evidence from the China health and retirement longitudinal study
By pinpointing how multimorbidity affects spending patterns, our study offers a novel perspective on the economic challenges families face. Multimorbidity compels households in rapidly developing countries to reallocate resources from basic survival needs toward medical care to manage health shocks. Low-income families, with limited financial flexibility, are compelled to significantly reduce survival expenditures to maintain non-medical developm…
Pharmacological effects and mechanisms of danlong oral liquid in asthma airway remodeling: Insights from serum medicinal chemistry, network pharmacology, and experimental validation
Investigating the combined effects of role assignment and discussion timing in a blended learning environment
Uncovering the effect of classroom climates on learning experience and performance in a virtual environment
A virtual classroom constructed with virtual reality technology enables a more intuitive and immersive experience for learners. The classroom climate is an important factor affecting students’ learning experience and performance in a virtual environment. However, there is a lack of research on the role of climate on learning experience and performance in virtual classrooms. This study investigated the effect of classroom climates (positive, neutr…
Learning in the spherical video-based virtual reality context: Effects of immersion level and spatial ability on learning performance and experience
Spherical video-based virtual reality (SVVR) is an emerging technology in the creation of virtual reality learning contexts. Existing studies have shown that immersion level and spatial ability affect learning performance and experience. Different levels of spatial ability also result in different learning performances and experiences in different levels of immersion, but this interaction effect remains unclear in the SVVR context. We conducted a…
The longitudinal relationships between short video addiction and depressive symptoms: A cross-lagged panel network analysis
Uncovering the predictive effect of behaviours on self‐directed learning ability
Self‐direction has become an important skill in the 21st century. To cultivate learners with a high level of self‐direction, it is necessary to diagnose their self‐directed learning (SDL) ability. This study diagnosed and predicted learners' SDL ability based on their actual SDL behaviours. The study was performed in a self‐directed 3D design class lasting 90 minutes. A total of 193 middle school students participated in the study. The results of…
The mediating role of resilience and interaction anxiousness in the effects of physical activity on mobile phone addiction among Chinese college students
It is essential to improve resilience and reduce interaction anxiousness to reduce MPA problems through regular engagement in PA among college students
Establishing and applying an adaptive framework for imported malaria: A field practice in Anhui Province, China from 2012 to 2022
Anhui Province has successfully developed and implemented an adaptive framework for addressing imported malaria, focusing on robust surveillance, prompt diagnosis, and standardized treatment. The experiences gained from this initiative can serve as a valuable reference for other non-endemic areas
Xingbei antitussive granules ameliorate cough hypersensitivity in post-infectious cough guinea pigs by regulating tryptase/PAR2/TRPV1 pathway
Using deep learning to unravel the structural evolution of block-scale green spaces in urban renewal
Cereal–forage rotation facilitates the colonization of particular rhizobacteria to improve crop productivity
Cereal–forage rotation is a crucial advantageous agricultural measure to accelerate sustainable agricultural development. However, the interaction mechanisms of crop productivity with soil characteristics and soil microbiome under this rotation regime remain controversial, leading to large uncertainties in assessing the stability of agroecosystems. The aim of this study is to investigate the effects of cereal–forage rotation on the rhizosphere mi…
The role of self-directed learning in studying 3D design and modeling
3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students’ SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but also enhance their SDL ability. This study explored the relationship among students’ SDL ability, their…
Understanding self-directed learning behaviors in a computer-aided 3D design context
Exploring behavioural differences between certificate achievers and explorers in Moocs
Massive open online courses (MOOCs) face the ongoing problem of low pass rates. A number of MOOC learners engage in most or all course activities but fail to pass the course. To improve participation and thereby increase successful completion, this study explores the behavioural differences between certificate achievers and explorers that lead to their different learning outcomes. Eleven behaviours were extracted from more than 80,000 behaviour r…
Linking cognitive processes and learning outcomes: The influence of cognitive presence on learning performance in Moocs
Massively open online courses (MOOCs) offer learners opportunities for self‐improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive presence on students’ learning performance by analysing more than 400,000 posts of 13 MOOCs. First, t…
Measuring depression severity based on facial expression and body movement using deep convolutional neural network
The BDD can effectively measure the current state of patients' depression and its changing trend according to the patient's expression and action features. Our model may provide an automatic auxiliary tool for the diagnosis and treatment of MDD
Harsh Parenting and Children’s Aggressive Behavior: A Moderated Mediation Model
Harsh parenting and its effect on children's aggressive behavior has received attention from researchers, however few studies have considered the role of the emotional process. This study aims to examine the relationship between harsh parenting, children's aggressive behavior, normative beliefs about aggression, and regulatory emotional self-efficacy, alongside their mechanism of interplay. A sample of 235 senior primary school students in Beijin…
Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type
The prevalence of diabetes has been increasing in recent years, and previous research has found that machine-learning models are good diabetes prediction tools. The purpose of this study was to compare the efficacy of five different machine-learning models for diabetes prediction using lifestyle data from the National Health and Nutrition Examination Survey (NHANES) database. The 1999-2020 NHANES database yielded data on 17,833 individuals data b…
Constructing Subscores That Add Validity: A Case Study of Identifying Students at Risk
Prior research suggests that subscores from a single achievement test seldom add value over a single total score. Such scores typically correspond to subcontent areas in the total content domain, but content subdomains might not provide a sound basis for subscores. Using scores on an inferential reading comprehension test from 625 third, fourth, and fifth graders, two new methods of creating subscores were explored. Three subscores were based on …
Constructing Subscores That Add Validity: A Case Study of Identifying Students at Risk
Prior research suggests that subscores from a single achievement test seldom add value over a single total score. Such scores typically correspond to subcontent areas in the total content domain, but content subdomains might not provide a sound basis for subscores. Using scores on an inferential reading comprehension test from 625 third, fourth, and fifth graders, two new methods of creating subscores were explored. Three subscores were based on …
Exploring behavioural differences between certificate achievers and explorers in Moocs
Massive open online courses (MOOCs) face the ongoing problem of low pass rates. A number of MOOC learners engage in most or all course activities but fail to pass the course. To improve participation and thereby increase successful completion, this study explores the behavioural differences between certificate achievers and explorers that lead to their different learning outcomes. Eleven behaviours were extracted from more than 80,000 behaviour r…
Linking cognitive processes and learning outcomes: The influence of cognitive presence on learning performance in Moocs
Massively open online courses (MOOCs) offer learners opportunities for self‐improvement and knowledge development. Linking cognitive processes and learning outcomes is helpful in supporting students learning with the help of MOOCs. Based on the cognitive presence of the Community of Inquiry framework, this study quantified the effect of cognitive presence on students’ learning performance by analysing more than 400,000 posts of 13 MOOCs. First, t…
Measuring depression severity based on facial expression and body movement using deep convolutional neural network
The BDD can effectively measure the current state of patients' depression and its changing trend according to the patient's expression and action features. Our model may provide an automatic auxiliary tool for the diagnosis and treatment of MDD
Harsh Parenting and Children’s Aggressive Behavior: A Moderated Mediation Model
Harsh parenting and its effect on children's aggressive behavior has received attention from researchers, however few studies have considered the role of the emotional process. This study aims to examine the relationship between harsh parenting, children's aggressive behavior, normative beliefs about aggression, and regulatory emotional self-efficacy, alongside their mechanism of interplay. A sample of 235 senior primary school students in Beijin…
Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type
The prevalence of diabetes has been increasing in recent years, and previous research has found that machine-learning models are good diabetes prediction tools. The purpose of this study was to compare the efficacy of five different machine-learning models for diabetes prediction using lifestyle data from the National Health and Nutrition Examination Survey (NHANES) database. The 1999-2020 NHANES database yielded data on 17,833 individuals data b…
Cereal–forage rotation facilitates the colonization of particular rhizobacteria to improve crop productivity
Cereal–forage rotation is a crucial advantageous agricultural measure to accelerate sustainable agricultural development. However, the interaction mechanisms of crop productivity with soil characteristics and soil microbiome under this rotation regime remain controversial, leading to large uncertainties in assessing the stability of agroecosystems. The aim of this study is to investigate the effects of cereal–forage rotation on the rhizosphere mi…
The role of self-directed learning in studying 3D design and modeling
3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students’ SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but also enhance their SDL ability. This study explored the relationship among students’ SDL ability, their…
Understanding self-directed learning behaviors in a computer-aided 3D design context
Investigating the combined effects of role assignment and discussion timing in a blended learning environment
Uncovering the effect of classroom climates on learning experience and performance in a virtual environment
A virtual classroom constructed with virtual reality technology enables a more intuitive and immersive experience for learners. The classroom climate is an important factor affecting students’ learning experience and performance in a virtual environment. However, there is a lack of research on the role of climate on learning experience and performance in virtual classrooms. This study investigated the effect of classroom climates (positive, neutr…
Learning in the spherical video-based virtual reality context: Effects of immersion level and spatial ability on learning performance and experience
Spherical video-based virtual reality (SVVR) is an emerging technology in the creation of virtual reality learning contexts. Existing studies have shown that immersion level and spatial ability affect learning performance and experience. Different levels of spatial ability also result in different learning performances and experiences in different levels of immersion, but this interaction effect remains unclear in the SVVR context. We conducted a…
The longitudinal relationships between short video addiction and depressive symptoms: A cross-lagged panel network analysis
Uncovering the predictive effect of behaviours on self‐directed learning ability
Self‐direction has become an important skill in the 21st century. To cultivate learners with a high level of self‐direction, it is necessary to diagnose their self‐directed learning (SDL) ability. This study diagnosed and predicted learners' SDL ability based on their actual SDL behaviours. The study was performed in a self‐directed 3D design class lasting 90 minutes. A total of 193 middle school students participated in the study. The results of…
The mediating role of resilience and interaction anxiousness in the effects of physical activity on mobile phone addiction among Chinese college students
It is essential to improve resilience and reduce interaction anxiousness to reduce MPA problems through regular engagement in PA among college students
Establishing and applying an adaptive framework for imported malaria: A field practice in Anhui Province, China from 2012 to 2022
Anhui Province has successfully developed and implemented an adaptive framework for addressing imported malaria, focusing on robust surveillance, prompt diagnosis, and standardized treatment. The experiences gained from this initiative can serve as a valuable reference for other non-endemic areas
Xingbei antitussive granules ameliorate cough hypersensitivity in post-infectious cough guinea pigs by regulating tryptase/PAR2/TRPV1 pathway
Using deep learning to unravel the structural evolution of block-scale green spaces in urban renewal
Income inequality and multimorbidity patterns in China: A micro-level analysis using CHARLS
Introduction: Health inequality-particularly income-related health inequality-poses a global challenge, significantly affecting social and economic well-being. While previous research has investigated the link between income inequality and various health outcomes, including chronic diseases, studies focusing on multimorbidity remain limited. Methods: This study examines how income inequality affects multimorbidity in China, drawing on data from t…
Metacognitive Ability and Learning Burnout in College Students: Chain Mediation Through Learning Engagement
Learning burnout is an important factor affecting the quality of learning. Current research indicates that learning burnout is closely related to metacognitive ability and learning engagement, yet the influencing mechanisms among the three remain unclear. About 431 college students participate in the study. According to self-regulated learning theory and social cognitive theory, this study explores the chain mediating role of learning engagement …
Impact of multimorbidity on household expenditure in China: Evidence from the China health and retirement longitudinal study
By pinpointing how multimorbidity affects spending patterns, our study offers a novel perspective on the economic challenges families face. Multimorbidity compels households in rapidly developing countries to reallocate resources from basic survival needs toward medical care to manage health shocks. Low-income families, with limited financial flexibility, are compelled to significantly reduce survival expenditures to maintain non-medical developm…
Pharmacological effects and mechanisms of danlong oral liquid in asthma airway remodeling: Insights from serum medicinal chemistry, network pharmacology, and experimental validation
Unraveling the factors influencing deep learning in online education: The roles of metacognitive strategies, online learning self-efficacy, creativity-fostering teacher behaviors and self-directed lea…
The rapid development of online learning offers unprecedented opportunities for flexibility and personalization in higher education. However, fostering deep learning in online education remains challenging due to limited interaction and support for students. This study examined how metacognitive strategies (MCS), online learning self-efficacy (OLSE), and creativity-fostering teacher behaviors (CTB) predict students’ deep learning (DL) in online h…
How does generative AI affect self-regulated learning in learners with varying knowledge levels? The role of chatbot design and support timing
Generative AI (GenAI) chatbots can provide on-demand support, but their educational value hinges on how learners regulate its use. Guided by self-regulated learning (SRL) theory, this study examined how two design dimensions of GenAI support shaped students’ learning outcomes, interaction behaviors, and subjective perceptions in physics learning tasks. The sample included 107 students in a 2 × 2 design crossing support timing (immediate vs. delay…
Governance, Innovation, and Complexity: Reassessing Energy Transition and Carbon Outcomes in G8 Economies Through a Quantile‐Based Framework
Energy transition and carbon emissions of G8 economies from 1990 to 2021 are examined in this study, along with the ways in which environmental governance, economic complexity, green innovation, geopolitical risk, and economic growth are influenced. The study identifies distributional differences that mean‐based models often ignore using Method of Moments Quantile Regression. Economic complexity encourages long‐term decarbonization but limits ene…
Computer Science (14 works) · Psychology (13 works) · Medicine (9 works) · Mathematics education (7 works) · Artificial Intelligence (6 works) · Clinical Psychology (5 works) · Innovative Teaching and Learning Methods (5 works) · Cognition (4 works) · Educational technology (4 works) · Geography (4 works)