Qi Xia
Dados Biográficos
| ID | 3914862 |
|---|---|
| NOME | Qi Xia |
| PRENOMES | Qi |
| SOBRENOME | Xia |
| ASSINATURA | XIA Q |
| AFILIAÇÕES | Harbin Medical University |
| ORCID | 0000-0003-0538-7665 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 28 |
| TOTAL DE CITAÇÕES | 3 |
| TOTAL COMO AUTOR | 28 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Creativity in University Students
How Do Autonomy, Critical Thinking, and Artificial Intelligence Value Perception Affect University Student Self-regulated Learning?
Artificial intelligence (AI) has transformed the learning process, offering new opportunities and challenges for self-regulated learning (SRL). While autonomy during the SRL process can be satisfied by external support, such as AI and teachers’ guidance, critical thinking is a crucial internal prerequisite skill for SRL with AI. However, the impact of students’ perception of AI on their SRL remains unclear. This study aims to investigate the medi…
MGGLSTM
Cryptocurrency-based digital payments are integral to modern financial systems, forming dynamic transaction networks shaped by user interactions. However, accurately predicting potential future links within these networks is critical for understanding transaction evolution and mitigating risks such as fraud. Traditional methods, often based on static graph embeddings, struggle to capture the temporal dependencies and incomplete information inhere…
Prediction of Soil pH Improvement Through Biochar
Biochar has achieved good results in improving soil properties. The rapid development of machine learning technology makes it possible to predict soil physicochemical properties. The objective of this study was to investigate the underlying mechanisms impacting soil pH in biochar‐improved soil using machine learning models. This study, based on the Lightweight Gradient Boosting Machine (LightGBM) and Deep Neural Network (DNN) algorithms, establis…
Time tells the tale
Bidirectional relations of epistemic beliefs and their impact on student engagement across GenAI platforms
Generative artificial intelligence (GenAI) is rapidly being adopted in educational settings, with many studies focusing on students’ learning behaviors and outcomes. However, little is known about how students’ epistemic beliefs (EB) develop over time and how these beliefs influence engagement in GenAI-supported environments. To examine the bidirectional relationships between EB and the impact of these beliefs on student engagement, a longitudina…
A systematic literature review on designing self-regulated learning using generative artificial intelligence and its future research directions
Promoting Interdisciplinary Learning With Generative AI Through Self‐Regulated Scaffolding
Satisfying higher education students’ psychological needs through case-based instruction for fostering creativity and entrepreneurship
Designing effective strategies for developing higher education students’ competencies, such as creativity and entrepreneurship, is crucial for their survival and self-realization in the technology-rich 21st century. This study is important as it addresses a significant research gap by designing and implementing self-determination theory (SDT)-guided case-based instruction (CBI) to enhance digital learners’ creativity and entrepreneurship. A class…
The impact of generative AI on university students’ learning outcomes via Bloom’s taxonomy
Higher education is facing a huge challenge with the development of Generative AI (GenAI). Many researchers have explored the effectiveness of GenAI in university students’ learning outcomes. However, despite its importance and the inconsistent results in existing research, a notable gap remains in systematically evaluating the impact of GenAI in higher education using a meta-analytic approach. To address this gap, this study investigates the imp…
Needs Satisfaction Mediates the Relationships Between TPACK , Self‐Efficacy and Teachers' Willingness to Integrate Generative AI Into Higher Education Practices
The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived needs satisfaction according to self‐determination theory (SDT) on the relationships between technologi…
A scoping review on how generative artificial intelligence transforms assessment in higher education
Generative artificial intelligence provides both opportunities and challenges for higher education. Existing literature has not properly investigated how this technology would impact assessment in higher education. This scoping review took a forward-thinking approach to investigate how generative artificial intelligence transforms assessment in higher education. We used the PRISMA extension for scoping reviews to select articles for review and re…
Assessment and learning outcomes for generative AI in higher education
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students’ learning and the new (refocused) learning outcomes that emerged in GenAI-facilitated learning environments. To provide evidence-…
Evaluation of China's double-carbon energy policy based on the policy modeling consistency index
The impact of TPACK on teachers’ willingness to integrate generative artificial intelligence (GenAI)
Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
The mediating effects of needs satisfaction on the relationships between prior knowledge and self‐regulated learning through artificial intelligence chatbot
The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self‐regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self‐determination theory (SDT). In this study, we examine the mediating effects of needs satisfaction in SDT on the relationship between stu…
Spatial effects of public health laboratory emergency testing institutions under Covid-19 in China
Therefore, the government should allocate health resources rationally, optimise the spatial layout of testing facilities, and improve the ability to respond to public health emergencies. Meanwhile, third-party testing facilities need to focus on their role in the public health emergency response system as a market force to alleviate the inequitable allocation of health resources between regions. By taking these measures to prepare adequately for …
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education
Motivation, Engagement, and Mathematics Achievement
Student motivation and engagement have been complex issues in basic mathematics education. Based on the theory of Motivation and Engagement Wheel, this study examined the relationships among student motivation, engagement, and mathematics achievement. A sample of 1,538 Chinese primary school students participated in the survey, and motivation and engagement were assessed through their responses to the Motivation and Engagement Scale. The results …
Spatial effects of air pollution on the economic burden of disease
The different contributions and synergy among the factors constitute the complex mechanism of factors and catastrophic health expenditure. Moreover, during this process, air pollution aggravates the contribution of health service factors toward ICHE. In addition, the leading factors of ICHE are different among regions. At the end, this paper also puts forward some policy suggestions from the perspective of health and environment crisis in the pos…
The superposition effects of air pollution on government health expenditure in China— spatial evidence from GeoDetector
First, multiple factors influence the spatial heterogeneity of government health expenditure. Second, health and socio-economic factors are still the dominant factors leading to increased government health expenditure. Third, air pollution does have an important impact on government health expenditure. As a catalytic factor, combining with other factors, it will strengthen their impact on government health expenditure. Finally, an integrated appr…
Ten-Year Poverty Alleviation Effect of the Medical Insurance System on Families With Members Who Have a Non-communicable Disease
Aims: Non-communicable diseases (NCD) drag the NCD patients' families to the abyss of poverty. Medical insurance due to weak control over medical expenses and low benefits levels, may have actually contributed to a higher burden of out-of-pocket payments. By making a multi-dimensional calculation on catastrophic health expenditure (CHE) in Heilongjiang Province over 10 years, it is significant to find the weak links in the implementation of medic…
Tight coupling of fungal community composition with soil quality in a Chinese fir plantation chronosequence
Predicting changes in carbon and nutrient cycles in plantations requires a mechanistic understanding of the effects of stand age on soil quality and microbial communities. Here, we evaluated soil quality by using an integrated soil quality index (SQI) and traced the parallel shifts in fungal community composition using high‐throughput sequencing in a chronosequence of Chinese fir ( Cunninghamia lanceolata ) plantations (stand age of 3, 16, 25, 32…
Does the medical insurance system play a real role in reducing catastrophic economic burden in elderly patients with cardiovascular disease in China? Implication for accurately targeting vulnerable ch…
BACKGROUND: The vulnerability of cardiovascular disease (CVD) patients' health abilities, combined with the severity of the disease and the overlapping risk factors, leads such people to bear the economic burden of the disease due to the medical services. We estimated the economic burden of CVD and identified the weak link in the design of the medical insurance. METHODS: Data from 5610 middle-aged and elderly with CVD were drawn from the 2015 wav…
The attention bias effect of infant face
Previous studies found attention bias towards an infant’s face among parents and non-parents. Ethologist Konrad Lorenz proposed the concept of “baby schema,” indicating that the rapid reaction towards an infant’s information is an innate releasing mechanism. The follow-up research found that the attention bias effect was affected by individual differences, such as gender, characteristics, hormones, etc. However, little is known about an infant’s …
Targeting vulnerable groups of health poverty alleviation in rural China— what is the role of the New Rural Cooperative Medical Scheme for the middle age and elderly population
Although the NRCMS has reduced barriers to the usage of household health services by reducing people's out-of-pocket payments, it has not effectively reduced the risk of these households falling into poverty. Our research identifies the characteristics of vulnerable groups that the NRCMS does not provide enough support for, and which puts them at a greater risk of falling into poverty due to health impoverishment
Does the medical insurance system really achieved the effect of poverty alleviation for the middle-aged and elderly people in China? Characteristics of vulnerable groups and failure links
The original poverty-promoting policies has not reached the maximum point of convergence with China's current demand for health. The overlapped health vulnerabilities exacerbated the risk of poverty among the elderly and households with high health needs and utilization. In addition, the medical insurance schemes have proven to be insufficient for protection against economic burden of poor households. So, special health needs, age, and household …
Ten-Year Poverty Alleviation Effect of the Medical Insurance System on Families With Members Who Have a Non-communicable Disease
Aims: Non-communicable diseases (NCD) drag the NCD patients' families to the abyss of poverty. Medical insurance due to weak control over medical expenses and low benefits levels, may have actually contributed to a higher burden of out-of-pocket payments. By making a multi-dimensional calculation on catastrophic health expenditure (CHE) in Heilongjiang Province over 10 years, it is significant to find the weak links in the implementation of medic…
Tight coupling of fungal community composition with soil quality in a Chinese fir plantation chronosequence
Predicting changes in carbon and nutrient cycles in plantations requires a mechanistic understanding of the effects of stand age on soil quality and microbial communities. Here, we evaluated soil quality by using an integrated soil quality index (SQI) and traced the parallel shifts in fungal community composition using high‐throughput sequencing in a chronosequence of Chinese fir ( Cunninghamia lanceolata ) plantations (stand age of 3, 16, 25, 32…
Does the medical insurance system play a real role in reducing catastrophic economic burden in elderly patients with cardiovascular disease in China? Implication for accurately targeting vulnerable ch…
BACKGROUND: The vulnerability of cardiovascular disease (CVD) patients' health abilities, combined with the severity of the disease and the overlapping risk factors, leads such people to bear the economic burden of the disease due to the medical services. We estimated the economic burden of CVD and identified the weak link in the design of the medical insurance. METHODS: Data from 5610 middle-aged and elderly with CVD were drawn from the 2015 wav…
A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education
Motivation, Engagement, and Mathematics Achievement
Student motivation and engagement have been complex issues in basic mathematics education. Based on the theory of Motivation and Engagement Wheel, this study examined the relationships among student motivation, engagement, and mathematics achievement. A sample of 1,538 Chinese primary school students participated in the survey, and motivation and engagement were assessed through their responses to the Motivation and Engagement Scale. The results …
Spatial effects of air pollution on the economic burden of disease
The different contributions and synergy among the factors constitute the complex mechanism of factors and catastrophic health expenditure. Moreover, during this process, air pollution aggravates the contribution of health service factors toward ICHE. In addition, the leading factors of ICHE are different among regions. At the end, this paper also puts forward some policy suggestions from the perspective of health and environment crisis in the pos…
The superposition effects of air pollution on government health expenditure in China— spatial evidence from GeoDetector
First, multiple factors influence the spatial heterogeneity of government health expenditure. Second, health and socio-economic factors are still the dominant factors leading to increased government health expenditure. Third, air pollution does have an important impact on government health expenditure. As a catalytic factor, combining with other factors, it will strengthen their impact on government health expenditure. Finally, an integrated appr…
Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
The mediating effects of needs satisfaction on the relationships between prior knowledge and self‐regulated learning through artificial intelligence chatbot
The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self‐regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self‐determination theory (SDT). In this study, we examine the mediating effects of needs satisfaction in SDT on the relationship between stu…
Spatial effects of public health laboratory emergency testing institutions under Covid-19 in China
Therefore, the government should allocate health resources rationally, optimise the spatial layout of testing facilities, and improve the ability to respond to public health emergencies. Meanwhile, third-party testing facilities need to focus on their role in the public health emergency response system as a market force to alleviate the inequitable allocation of health resources between regions. By taking these measures to prepare adequately for …
A scoping review on how generative artificial intelligence transforms assessment in higher education
Generative artificial intelligence provides both opportunities and challenges for higher education. Existing literature has not properly investigated how this technology would impact assessment in higher education. This scoping review took a forward-thinking approach to investigate how generative artificial intelligence transforms assessment in higher education. We used the PRISMA extension for scoping reviews to select articles for review and re…
Assessment and learning outcomes for generative AI in higher education
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students’ learning and the new (refocused) learning outcomes that emerged in GenAI-facilitated learning environments. To provide evidence-…
Evaluation of China's double-carbon energy policy based on the policy modeling consistency index
The impact of TPACK on teachers’ willingness to integrate generative artificial intelligence (GenAI)
Satisfying higher education students’ psychological needs through case-based instruction for fostering creativity and entrepreneurship
Designing effective strategies for developing higher education students’ competencies, such as creativity and entrepreneurship, is crucial for their survival and self-realization in the technology-rich 21st century. This study is important as it addresses a significant research gap by designing and implementing self-determination theory (SDT)-guided case-based instruction (CBI) to enhance digital learners’ creativity and entrepreneurship. A class…
The impact of generative AI on university students’ learning outcomes via Bloom’s taxonomy
Higher education is facing a huge challenge with the development of Generative AI (GenAI). Many researchers have explored the effectiveness of GenAI in university students’ learning outcomes. However, despite its importance and the inconsistent results in existing research, a notable gap remains in systematically evaluating the impact of GenAI in higher education using a meta-analytic approach. To address this gap, this study investigates the imp…
Needs Satisfaction Mediates the Relationships Between TPACK , Self‐Efficacy and Teachers' Willingness to Integrate Generative AI Into Higher Education Practices
The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived needs satisfaction according to self‐determination theory (SDT) on the relationships between technologi…
Creativity in University Students
How Do Autonomy, Critical Thinking, and Artificial Intelligence Value Perception Affect University Student Self-regulated Learning?
Artificial intelligence (AI) has transformed the learning process, offering new opportunities and challenges for self-regulated learning (SRL). While autonomy during the SRL process can be satisfied by external support, such as AI and teachers’ guidance, critical thinking is a crucial internal prerequisite skill for SRL with AI. However, the impact of students’ perception of AI on their SRL remains unclear. This study aims to investigate the medi…
MGGLSTM
Cryptocurrency-based digital payments are integral to modern financial systems, forming dynamic transaction networks shaped by user interactions. However, accurately predicting potential future links within these networks is critical for understanding transaction evolution and mitigating risks such as fraud. Traditional methods, often based on static graph embeddings, struggle to capture the temporal dependencies and incomplete information inhere…
Prediction of Soil pH Improvement Through Biochar
Biochar has achieved good results in improving soil properties. The rapid development of machine learning technology makes it possible to predict soil physicochemical properties. The objective of this study was to investigate the underlying mechanisms impacting soil pH in biochar‐improved soil using machine learning models. This study, based on the Lightweight Gradient Boosting Machine (LightGBM) and Deep Neural Network (DNN) algorithms, establis…
Time tells the tale
Computer Science (8 obras) · Medicine (8 obras) · China (7 obras) · Environmental health (7 obras) · Psychology (7 obras) · Economics (6 obras) · Generative grammar (6 obras) · Geography (6 obras) · Innovative Teaching and Learning Methods (6 obras) · Public health (6 obras)