Xiaoqing Gu
Dados Biográficos
| ID | 3913068 |
|---|---|
| NOME | Xiaoqing Gu |
| PRENOMES | Xiaoqing |
| SOBRENOME | Gu |
| ASSINATURA | GU X |
| AFILIAÇÕES | East China Normal University |
| ORCID | 0000-0001-8256-5408 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 43 |
| TOTAL DE CITAÇÕES | 2 |
| TOTAL COMO AUTOR | 43 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2011 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Revealing how learning strategies emerge
Personalized learning aims to provide adaptive support that responds to individual differences during learning. While existing systems have made progress in content recommendation and task sequencing, they pay limited attention to how learners regulate their learning through strategies during interaction, which constrains support for deeper learning and self-regulation. This study examines the feasibility of modeling learning strategies using a h…
Facilitating pre-service teachers’ instructional design and higher-order thinking with generative AI
The rapid development of generative artificial intelligence has created new opportunities for innovation in teacher education, dramatically changing how pre-service teachers acquire new skills and knowledge. In the information age, pre-service teachers’ information technology-enhanced instructional design competence has received widespread attention. This study introduced the generative artificial intelligence represented by ChatGPT to innovate t…
Developing teachers’ professional abilities
When AI joins the conversation
This study investigates the impact of an AI-powered teacher dashboard on collaborative interaction in video-based pre-service teacher education. A quasi-experimental design was conducted with 48 pre-service teachers in China. They were assigned to either an experimental or control condition. Each condition comprised eight groups, with three pre-service teachers per group. All groups engaged in collaborative discussions aimed at improving lesson d…
Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence
Generative artificial intelligence (GAI) advancements have ignited new expectations for artificial intelligence (AI)-enabled educational transformations. Based on the theory of planned behavior (TPB), this study combines structural equation modeling and interviews to analyze the influencing factors of Chinese university students’ GAI technology usage intention. Regarding AI literacy, students’ cognitive literacy in AI ethics scored the highest (M…
Dual Perspective Assessment of the Development Level and Characteristics of Intelligent Educational Software in China
While the market offers a wide variety of intelligent educational software, inconsistent quality often prevents these tools from effectively meeting practical teaching needs. This makes it difficult for educators to determine the suitability of specific software for their classrooms. To address this challenge, this study developed a set of evaluation indicators for intelligent educational software used in primary and secondary schools. These indi…
Teaching via LLM-enhanced simulations
From access to mastery
The journey of challenges and victories
Exploring pre-service teachers’ reflection mediated by an AI-powered teacher dashboard in video-based professional learning
Design a problem-based flipped classroom learning environment to promote postgraduates’ research writing performance and perception
Deconstructing University Learners' Adoption Intention Towards Aigc Technology
Cognitive Echo
In the field of education, the think‐aloud protocol is commonly used to encourage learners to articulate their thoughts during the learning process, providing observers with valuable insights into learners' cognitive processes beyond the final learning outcomes. However, the implementation of think‐aloud protocols faces challenges such as task interference and limitations in completeness and authenticity of verbal reports. This study proposes a m…
How does peer-led teaching presence promote the development of cognitive presence? Evidence based on behavioural sequence analysis
Cognitive presence is essential for deep and meaningful learning, yet developing it poses challenges. Theoretically, peer-led teaching presence can enhance cognitive presence, but research on this facilitation is limited. This study used behavioural sequence analysis to investigate how peer-led teaching presence promotes cognitive presence development. First, the study found that peer-led teaching presence promotes overall cognitive presence deve…
Evolving knowledge structures in technology integration
Designing an integrated concept mapping and generative AI approach to develop pre‐service teachers' digital storytelling project outcomes and critical thinking
This study designed an integrated concept mapping and generative artificial intelligence (generative AI) approach to enhance pre‐service teachers' (PSTs) digital storytelling (DST) outcomes and critical thinking. A quasi‐experimental study was conducted with 62 PSTs, where an experimental group ( n = 30) employed the integrated concept mapping and generative AI approach and a control group ( n = 32) used a standalone generative AI approach. Resul…
Exploring the effects of AI literacy in teacher learning
As most practitioners (including teachers) do not know how AI functions and cannot make full use of AI in education, there is an urgent need to investigate teachers’ intentions to learn AI and related determinants so as to promote their AI learning. This study collected survey data from a total of 318 K-12 teachers from sixteen provinces or municipalities in China. A two-step structural equation modeling approach was performed to analyze the data…
Contribution of self-determining theory to K–12 students’ online learning engagements
How do thinking styles and STEM attitudes have effects on computational thinking? A structural equation modeling analysis
Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill‐defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling procedure, 1195 students from two universities were surveyed. A structural equation modeling analysis showed…
Analysis of key roles in large‐scale online learning
Online teacher professional development is a branch of online learning, which offers educators opportunities to refine their pedagogical skills and collaboratively construct knowledge within professional learning communities. During these interactions, teachers often engage in knowledge construction while exhibiting diverse role characteristics. Investigating these role characteristics and knowledge construction patterns can enhance the comprehen…
Dynamic Teacher’s Technology Adoption During the Covid-19 Pandemic
Understanding the teacher’s technology adoption process is essential to comprehend and narrow the digital divide in the post-epidemic age. During the pandemic, the stay-at-home orders not only intervened schooling and teaching but also increased digital accessibility to teachers. This research studies teacher heterogeneity and adoption controls in the epidemic to simultaneously affect teacher’s underlying intention and adoption behavior based on …
Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems
Epilepsy recognition based on electroencephalogram (EEG) and artificial intelligence technology is the main tool of health analysis and diagnosis in Internet of medical things (IoMT). As a distributed learning framework, federated learning can train a shared model from multiple independent edge nodes using local data, which has greatly promoted the development of IoMT. One of the main challenges of EEG-based epilepsy recognition in IoMT is that E…
Modeling Chinese teachers’ behavioral intention to use recording studios in primary schools
Primary school teachers may lack the competencies to create and deliver lessons using ICT equipments. As a result, schools possess large quantities of rarely used educational ICT resources. The recording studio, a kind of ICT which is helpful in producing videos for teaching reflection, has recently been widely promoted and used in Chinese primary schools. This research aims to investigate teachers’ intention regarding recording studios and other…
Patterns of triggers for on-task and off-task behaviors
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students’ independent study in the library to delineate the pattern of on-task and off-task behavior, and identify the triggers fo…
Interpreting institute culture dynamics of technology adoption
Novel 3D Contextual Interactive Games on a Gamified Virtual Environment Support Cultural Learning Through Collaboration Among Intercultural Students
This study aims to help international students learn the language and cultural knowledge of their future study destination by collaborating with local students through coplaying games in online virtual rooms. Therefore, this study explores whether the 3D interactive game with specific contexts on a virtual platform can support intercultural collaboration and improve the students' language and cultural learning. This study created novel 3D context…
Assessment of ICT in Tertiary Education Applying Structural Equation Modeling and Rasch Model
Assessment studies using structural equation modeling and Rasch Model have long been prominent in all areas of educational psychology. Their emphases have covered, but have not been limited to, the improvement of quality in teaching, learning, and research as well as the pursuit of research productivity. However, such methodological approaches have rarely taken place in the arena of information and communication technology (ICT) in tertiary educa…
Design, sharing and co-construction of learning resources
A key problem in developing a virtual community for co-constructing learning resources is the need to have people volunteer to share their expertise. In this paper, we introduce the first phase of our research in which we examine strategies for encouraging participants to share in the system. We began by designing an intervention model based on creating and sustaining social capital among the participants for the entire resource development proce…
Learning and Knowledge Analytics in Open Education
Effectiveness of immersive virtual reality using head‐mounted displays on learning performance
With the availability of low‐cost high‐quality head‐mounted displays (HMDs) since 2013, there is a growing body of literature investigating the impact of immersive virtual reality (IVR) technology on education. This meta‐analysis aims to synthesize the findings on the overall effects of IVR using HMDs compared to less immersive desktop virtual reality (DVR) and other traditional means of instruction. A systematic search was carried out on the lit…
A study of Chinese technical and vocational college teachers' adoption and gratification in new technologies
The problem motivating this research is the rapid introduction of educational technologies and the strong push to use new technologies in technical and vocational training in China coupled with varied responses and uneven adoption of new tools on the part of practitioners. This study investigated the factors that influence technical and vocational college teachers' adoption and appreciation of information and communication technology (ICT) in Chi…
Assessment of ICT in Tertiary Education Applying Structural Equation Modeling and Rasch Model
Assessment studies using structural equation modeling and Rasch Model have long been prominent in all areas of educational psychology. Their emphases have covered, but have not been limited to, the improvement of quality in teaching, learning, and research as well as the pursuit of research productivity. However, such methodological approaches have rarely taken place in the arena of information and communication technology (ICT) in tertiary educa…
Transfer Model Collaborating Metric Learning and Dictionary Learning for Cross-Domain Facial Expression Recognition
Facial expression recognition has drawn increasing attention because of its great potential in human behavior analysis. Traditional recognition models usually assume that the training set is sufficient, and the training and testing data sets have the same distribution. However, these two factors are not satisfied in some cases. In this study, a transfer model collaborating metric learning and dictionary learning called TMMLDL is proposed to addre…
Understanding the relationship between computational thinking and computational participation
From cooperation to collaboration
Response to “A design framework for enhancing engagement in student-centered learning
Factors Engaging College Students in Online Learning
This study extended the Expectancy Confirmation model (ECM) to examine the factors that influence online learning stickiness. The structural equation modeling was used to reveal the relationships among the factors through a survey of 395 online consumers. The findings indicate that learning stickiness was significantly impacted by switching cost and satisfaction. Learners' perceived usefulness, perceived interactivity, and expectation confirmatio…
Multi-Source Domain Transfer Discriminative Dictionary Learning Modeling for Electroencephalogram-Based Emotion Recognition
Cognitive computing is dedicated to researching a computing principle and method that can simulate the intelligence ability of human brain. Human emotion is the basic component of human cognitive activities. Electroencephalogram (EEG) computer signals obtained from a brain computer interface are difficult to conceal, and using machine learning methods to analyze EEG emotion is a hot topic in artificial intelligence. However, the EEG signal is non…
An exploration on Covid-19 vaccination motivation patterns from the perspective of the Chaxu culture in metropolis of China
Objectives: Chaxugeju is a very special Chinese culture following a self-centered and outward expanding social network, which might be a significant culture factor for vaccination behavior. This study aimed to identify the motivation pattern in China, and paid special focus on socio-economic status (SES), region, and migration. Methods: We used a latent class analysis, with a sample of 12,432 participants collected in China from April to June, to…
Effect of teacher autonomy support on the online self‐regulated learning of students during Covid ‐19 in China
Accelerate the process of getting vaccinated
The influential factors changed over two phases of vaccination process. Regional disparity affected both consideration and accessibility phases. Expect that, SES, and hesitancy were major factors of the consideration phase, but had limited impact on accessibility phase
From Equity of Opportunity to Equity of Development
Faced with the sudden outbreak of the COVID-19 pandemic, Chinese K-12 schools pivoted to online teaching to “suspend classes without stopping learning” and to ensure continued learning in the first half of 2020. As an emergency measure to combat the pandemic, the implementation of online teaching met a range of challenges. This study randomly distributed approximately 420,000 questionnaires to primary and secondary students, teachers, and adminis…
Novel 3D Contextual Interactive Games on a Gamified Virtual Environment Support Cultural Learning Through Collaboration Among Intercultural Students
This study aims to help international students learn the language and cultural knowledge of their future study destination by collaborating with local students through coplaying games in online virtual rooms. Therefore, this study explores whether the 3D interactive game with specific contexts on a virtual platform can support intercultural collaboration and improve the students' language and cultural learning. This study created novel 3D context…
Technology-Enabled E-Learning Platforms in Chinese Higher Education During the Pandemic Age of Covid-19
The problem motivating this study is the fact that almost 19.70 million university students in China have been required to engage in e-learning under the government's initiative of "Classes are Suspended, yet Learning is still Ongoing" during the COVID-19 epidemic, coupled with varied responses, uneven adoption of e-learning platforms and varying degrees of satisfaction toward them. Using the online database adoption and satisfaction (ODAS) model…
Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems
Epilepsy recognition based on electroencephalogram (EEG) and artificial intelligence technology is the main tool of health analysis and diagnosis in Internet of medical things (IoMT). As a distributed learning framework, federated learning can train a shared model from multiple independent edge nodes using local data, which has greatly promoted the development of IoMT. One of the main challenges of EEG-based epilepsy recognition in IoMT is that E…
Modeling Chinese teachers’ behavioral intention to use recording studios in primary schools
Primary school teachers may lack the competencies to create and deliver lessons using ICT equipments. As a result, schools possess large quantities of rarely used educational ICT resources. The recording studio, a kind of ICT which is helpful in producing videos for teaching reflection, has recently been widely promoted and used in Chinese primary schools. This research aims to investigate teachers’ intention regarding recording studios and other…
Patterns of triggers for on-task and off-task behaviors
With the rapid development of mobile devices and web-based technologies, it becomes common for students to switch between different tasks during study time. However, it remains unclear how the transition between on-task and off-task states happens and how digital devices affect the process. This study examines college students’ independent study in the library to delineate the pattern of on-task and off-task behavior, and identify the triggers fo…
Interpreting institute culture dynamics of technology adoption
Telecollaboration Tool Preferences for Online Intercultural Learning in Higher Education
Communication and learning across cultures is always a challenge during the development of educational internationalization. Higher education institutions worldwide are progressively under pressure to support and embrace multicultural student bodies and intercultural exchange. In recent years, some overseas universities have conducted opportunities for online pre-communication and interaction with local students and staff via telecollaboration to…
Exploring the effects of AI literacy in teacher learning
As most practitioners (including teachers) do not know how AI functions and cannot make full use of AI in education, there is an urgent need to investigate teachers’ intentions to learn AI and related determinants so as to promote their AI learning. This study collected survey data from a total of 318 K-12 teachers from sixteen provinces or municipalities in China. A two-step structural equation modeling approach was performed to analyze the data…
Contribution of self-determining theory to K–12 students’ online learning engagements
How do thinking styles and STEM attitudes have effects on computational thinking? A structural equation modeling analysis
Computational thinking (CT) is vital for success in numerous domains. However, the nature, definition, and scope of CT are ill‐defined, and research on how best to develop CT is very limited. This study focused on how thinking styles and STEM attitudes have effects on computational thinking. Using a proportionate stratified random sampling procedure, 1195 students from two universities were surveyed. A structural equation modeling analysis showed…
Computer Science (32 obras) · Psychology (32 obras) · Mathematics education (24 obras) · Pedagogy (17 obras) · Educational technology (13 obras) · Sociology (11 obras) · Online Learning and Analytics (10 obras) · Multimedia (9 obras) · Artificial Intelligence (8 obras) · Innovative Teaching and Learning Methods (8 obras)