A5076599775- Innovative Teaching and Learning Methods
- Complex Network Analysis Techniques
- Cancer-related gene regulation
- Online Learning and Analytics
- RNA modifications and cancer
- Esophageal Cancer Research and Treatment
- Online and Blended Learning
- Intelligent Tutoring Systems and Adaptive Learning
- Knowledge Management and Sharing
- Opinion Dynamics and Social Influence
- Team Dynamics and Performance
- Complex Systems and Decision Making
- Cognitive Science and Mapping
- Writing and Handwriting Education
- Recommender Systems and Techniques
- Hand Gesture Recognition Systems
- E-commerce and Technology Innovations
- Advanced Graph Neural Networks
- Emotional Intelligence and Performance
- Digital Marketing and Social Media
- Social Media and Politics
- Epigenetics and DNA Methylation
- TGF-β signaling in diseases
- Digital Accessibility for Disabilities
- Collaboration in agile enterprises
University of Science and Technology of China
2004-2025
Chinese Academy of Sciences
2023-2024
Hong Kong Polytechnic University
2023
New Zealand Association of Counsellors
2023
University of Oxford
2023
John Wiley & Sons (United Kingdom)
2023
Hudson Institute
2017-2023
John Wiley & Sons (United States)
2017-2023
Xi'an Technological University
2022
Educational Testing Service
2015-2020
In this research, we use a process data analysis approach to gather additional evidence about students’ argumentation skills beyond their performance scores in computer-based assessment. This game-enhanced scenario-based assessment (named Seaball) included five activities that require students demonstrate within scenario whether junk food should be sold students. Our research sample 104 middle school Process analyses focused on an “Interview” activity which explored different locations and...
This study investigates the role of automated scoring and feedback in supporting students' construction written scientific arguments while learning about factors that affect climate change classroom. The technology was integrated into an online module. Students' argumentation occurred when they responded to structured prompts. After submitting open-ended responses, students received scores generated by a engine associated with real-time. Using log data recorded as well argument submission...
Cognitive diagnostic assessment is a fundamental task in intelligent education, which aims at quantifying students' cognitive level on knowledge attributes. Since there exists learning dependency among attributes, it crucial for diagnosis models (CDMs) to incorporate attribute hierarchy when assessing students. The only explored by few CDMs such as Attribute Hierarchy Method, and are still two significant limitations these methods. First, the time complexity would be unbearable number of...
This study employs a hybrid recommendation model that integrates Attention, CNN, and LSTM for course suggestions. The component is utilized to discern the interdependencies within user rating data, thereby identifying preference patterns. Additionally, CNN incorporated capture local feature relationships of courses. An Attention mechanism also applied refine weighting process. Valuable information regions are given greater weights, features extracted more accurately. predicted score...
New technology enables interactive and adaptive scenario‐based tasks (SBTs) to be adopted in educational measurement. At the same time, it is a challenging problem build appropriate psychometric models analyze data collected from these tasks, due complexity of data. This study focuses on process SBTs. We explore potential using concepts methods social network analysis represent Empirical were assessment Technology Engineering Literacy, conducted as part National Assessment Educational...
This paper explores a longitudinal approach to combining engagement, performance and social connectivity data from MOOC using the framework of exponential random graph models (ERGMs). The idea is model network in discussion forum given week not only (assignment scores) overall engagement (lecture views) covariates within that week, but also on same person-level adjacent previous subsequent weeks. We find over all eight weekly sessions, networks constructed interactions are relatively sparse...
Cognitive diagnosis has been developed for decades as an effective measurement tool to evaluate human cognitive status such ability level and knowledge mastery. It applied a wide range of fields including education, sport, psychological diagnosis, etc. By providing better awareness status, it can serve the basis personalized services well-designed medical treatment, teaching strategy vocational training. This paper aims provide survey current models with more attention on new developments...
Eye tracking is a useful tool to understand students' cognitive process during problem solving. This paper offers unique perspective by applying techniques from social network analysis eye movement patterns in mathematics We construct and visualize transition networks using eye-tracking data collected 37 8th grade students while solving linear function problems. By on the constructed networks, we find general between areas of interest (AOIs) for all students, also compare high-...
Advanced communication technologies enable strangers to work together on the same tasks or projects in virtual environments. Understanding formation of task-oriented groups is an important first step study dynamics team collaboration. In this paper, we investigated group combat activities Sonypsilas EverQuest II game identify role player and attributes formation. We found that highly influenced by playerspsila common interests challenging tasks. Players with less experience are more likely...
The community structure and motif-modular-network hierarchy are of great importance for understanding the relationship between structures functions. We investigate distribution clique degrees, which an extension degree can be used to measure density cliques in networks. Empirical studies indicate extensive existence power-law clique-degree distributions various real networks, exponent decreases with increase size.
Abstract Collaborative problem solving ( CPS ) is a critical competency in variety of contexts, including the workplace, school, and home. However, only recently have assessment curriculum reformers begun to focus greater extent on acquisition development skill. One major challenges psychometric modeling collecting large‐scale data teams processes. In this study, we explore use agent‐based ABM model process, test sensitivity outcomes different population characteristics, generate simulated...
Abstract The research on using event logs and item response time to study test‐taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed keystroke collected from 761 middle school students United States as they completed a persuasive writing task. Seven variables were extracted compared with different score gender groups. Group comparisons also made methodologies borrowed sequence mining. Students' composition strategies over course process...
Image-text matching, as a fundamental cross-modal task, bridges vision and language. The key challenge lies in accurately learning the semantic similarity of these two heterogeneous modalities. To determine between visual textual features, existing paradigm typically first maps them into d-dimensional shared representation space, then independently aggregates all dimensional correspondences features to reflect it, e.g., inner product. However, this paper, we are motivated by an insightful...
Recent technology advances have enabled the collection of keystroke logs during writing, a non-intrusive approach to collecting writing process data that could provide insights into writers' editing and revising behaviors in process. Using from 761 middle school students US, this study investigated association between behaviors, especially in-text jump editing, their scores gender. The results showed different behavior patterns for participants ability research findings on processes went...