Xiaojiao Chen
Biographic Data
| ID | 3913320 |
|---|---|
| NAME | Xiaojiao Chen |
| GIVEN NAMES | Xiaojiao |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN X |
| AFFILIATIONS | Zhejiang University of Technology |
| ORCID | 0000-0002-9276-1063 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
GenAI-agents in education: A systematic review of macro-level trends, educational roles, theoretical foundations and future agendas
Thinking outside the box: A systematic review of gamification trends in children’s dance education
The journey of challenges and triumphs: A systematic literature review of the dynamic evolution of human-centered artificial intelligence in education
With the advent of the AIGC era, the tension between human leadership and machine automation has intensified, bringing the call for Human-Centered Artificial Intelligence (HCAI) into the educational field. However, there is a lack of comprehensive reviews on HCAI research in this field. This study conducts a systematic literature review of 24 papers from seven databases to analyze the current state and future trends of HCAI in education. Findings…
Unveiling learners’ intentions toward influencer-led education: An integration of qualitative and quantitative analysis
In the rapidly evolving landscape of social media, the emergence of Influencer-led Education as a novel learning model presents a paradigm shift in the mobile learning era. To illuminate the underpinnings of learners’ inclination to embrace this model, this study adopts an integrated methodological framework, encompassing grounded theory and fuzzy-set Qualitative Comparative Analysis (fsQCA). Based on 17 in-depth interviews, an Action-Decision Fr…
What drives learners’ behavioral intention to share knowledge on social media: Evidence from a fuzzy-set qualitative comparative analysis (FsQCA)
Deconstructing University Learners' Adoption Intention Towards Aigc Technology: A Mixed‐Methods Study Using ChatGPT as an Example
Fuel for the mind: Exploring coffee’s impact on university learning performance and experience
Purpose Coffee is a globally popular beverage, yet its impact on learning behavior remains underexplored. This study aims to introduce schema theory to deconstruct and reveal the mechanisms through which coffee influences learners’ knowledge construction and learning outcomes. Design/methodology/approach A quasi-experimental design was adopted to investigate coffee’s influence on learning outcomes across different schemas. About 40 university stu…
Before and After: How Did the Pandemic Reshape Virtual Laboratory Research
Virtual laboratories, as digital alternatives to traditional hands-on laboratories, have demonstrated their indispensable importance, effectively ensuring the continuity and efficiency of student experimental learning. In order to delve into the application and development of virtual laboratories during the pandemic, this study used Web of Science as the data source, selecting 606 articles from the period 2016 to 2019 (T1) and 911 articles from t…
What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study
The emergence of ChatGPT has sparked new expectations for AI-empowered educational transformation. However, it remains unknown which factors affect its effectiveness in empowering learners to solve programming problems. Therefore, this study employed a quasi-experimental research design and used Python graphing in programming education as an example to investigate the factors influencing the effectiveness of learners in applying ChatGPT to proble…
Education reform and change driven by digital technology: A bibliometric study from a global perspective
Amidst the global digital transformation of educational institutions, digital technology has emerged as a significant area of interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving the effectiveness of teaching and learning. These digital technologies also ensure the sustainability and stability of education during the epidemic. Despite this, a dearth of systematic reviews exists…
Factors influencing continuance intention in blended learning among business school students in China: Based on grounded theory and FsQCA
This research study aims to explore the factors that influence continuance intention in Blended learning (BL) among business school students in China. By employing a grounded theory approach and utilizing the Fuzzy Set Qualitative Comparative Analysis (FsQCA) method, the research investigates the complex interplay of various variables that contribute to business school students’ intention to continue participating in BL programs. The study includ…
The Implementation Path and Problems Encountered During Emergency Remote Teaching in Vocational Colleges: A Qualitative Study in China
In the context of the COVID-19 pandemic, emergency remote teaching (ERT) in vocational colleges has become a point of attention in the academic community. This study adopts qualitative research methods, including content analysis and multiple case studies, to examine the implementation path and encountered problems of ERT in vocational colleges. It examines 326 textual materials and 37 teaching cases related to ERT during a period of home isolati…
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The Implementation Path and Problems Encountered During Emergency Remote Teaching in Vocational Colleges: A Qualitative Study in China
In the context of the COVID-19 pandemic, emergency remote teaching (ERT) in vocational colleges has become a point of attention in the academic community. This study adopts qualitative research methods, including content analysis and multiple case studies, to examine the implementation path and encountered problems of ERT in vocational colleges. It examines 326 textual materials and 37 teaching cases related to ERT during a period of home isolati…
What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study
The emergence of ChatGPT has sparked new expectations for AI-empowered educational transformation. However, it remains unknown which factors affect its effectiveness in empowering learners to solve programming problems. Therefore, this study employed a quasi-experimental research design and used Python graphing in programming education as an example to investigate the factors influencing the effectiveness of learners in applying ChatGPT to proble…
Education reform and change driven by digital technology: A bibliometric study from a global perspective
Amidst the global digital transformation of educational institutions, digital technology has emerged as a significant area of interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving the effectiveness of teaching and learning. These digital technologies also ensure the sustainability and stability of education during the epidemic. Despite this, a dearth of systematic reviews exists…
Factors influencing continuance intention in blended learning among business school students in China: Based on grounded theory and FsQCA
This research study aims to explore the factors that influence continuance intention in Blended learning (BL) among business school students in China. By employing a grounded theory approach and utilizing the Fuzzy Set Qualitative Comparative Analysis (FsQCA) method, the research investigates the complex interplay of various variables that contribute to business school students’ intention to continue participating in BL programs. The study includ…
Thinking outside the box: A systematic review of gamification trends in children’s dance education
The journey of challenges and triumphs: A systematic literature review of the dynamic evolution of human-centered artificial intelligence in education
With the advent of the AIGC era, the tension between human leadership and machine automation has intensified, bringing the call for Human-Centered Artificial Intelligence (HCAI) into the educational field. However, there is a lack of comprehensive reviews on HCAI research in this field. This study conducts a systematic literature review of 24 papers from seven databases to analyze the current state and future trends of HCAI in education. Findings…
Unveiling learners’ intentions toward influencer-led education: An integration of qualitative and quantitative analysis
In the rapidly evolving landscape of social media, the emergence of Influencer-led Education as a novel learning model presents a paradigm shift in the mobile learning era. To illuminate the underpinnings of learners’ inclination to embrace this model, this study adopts an integrated methodological framework, encompassing grounded theory and fuzzy-set Qualitative Comparative Analysis (fsQCA). Based on 17 in-depth interviews, an Action-Decision Fr…
What drives learners’ behavioral intention to share knowledge on social media: Evidence from a fuzzy-set qualitative comparative analysis (FsQCA)
Deconstructing University Learners' Adoption Intention Towards Aigc Technology: A Mixed‐Methods Study Using ChatGPT as an Example
Fuel for the mind: Exploring coffee’s impact on university learning performance and experience
Purpose Coffee is a globally popular beverage, yet its impact on learning behavior remains underexplored. This study aims to introduce schema theory to deconstruct and reveal the mechanisms through which coffee influences learners’ knowledge construction and learning outcomes. Design/methodology/approach A quasi-experimental design was adopted to investigate coffee’s influence on learning outcomes across different schemas. About 40 university stu…
Before and After: How Did the Pandemic Reshape Virtual Laboratory Research
Virtual laboratories, as digital alternatives to traditional hands-on laboratories, have demonstrated their indispensable importance, effectively ensuring the continuity and efficiency of student experimental learning. In order to delve into the application and development of virtual laboratories during the pandemic, this study used Web of Science as the data source, selecting 606 articles from the period 2016 to 2019 (T1) and 911 articles from t…
GenAI-agents in education: A systematic review of macro-level trends, educational roles, theoretical foundations and future agendas
Computer Science (8 works) · Psychology (8 works) · Sociology (6 works) · Mathematics education (4 works) · Qualitative research (4 works) · Artificial Intelligence (3 works) · Educational technology (3 works) · Online Learning and Analytics (3 works) · Political science (3 works) · Social science (3 works)