- Online Learning and Analytics
- Innovative Teaching and Learning Methods
- Online and Blended Learning
- Advanced Text Analysis Techniques
- Data Stream Mining Techniques
- Explainable Artificial Intelligence (XAI)
- Software Engineering Research
- Machine Learning in Healthcare
- Intelligent Tutoring Systems and Adaptive Learning
- Cloud Computing and Resource Management
- Topic Modeling
- Bayesian Modeling and Causal Inference
- Educational Strategies and Epistemologies
- Impact of Technology on Adolescents
- Wikis in Education and Collaboration
- Engineering Education and Technology
- Education and Critical Thinking Development
Nanyang Technological University
2023-2024
Zhuhai People's Hospital
2022
GPT has demonstrated impressive capabilities in executing various natural language processing (NLP) and reasoning tasks, showcasing its potential for deductive coding social annotations. This research explored the effectiveness of prompt engineering fine-tuning approaches context-dependent context-independent dimensions. Coding dimensions (i.e., Theorizing, Integration, Reflection) requires a contextualized understanding that connects target comment with reading materials previous comments,...
Abstract Background Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact social on students' learning process performance is widely acknowledged, behavioural patterns in are underexplored. Objectives This study investigated use response behaviours activities. We also explored how behavioural, cognitive, emotional, dimensions varied based their patterns. Methods...
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of behavioral events and sequences. First, study identifies from log applies lag sequence analysis extract sequences that reflect strategies. Then, are selected linear regression. Finally, built majority vote. The uses 3151 compare the accuracy models with without results show 75.75%, which 2.06% higher than This finds editing, debugging, self-regulating behavior can strategies...
The increasing use of Generative Artificial Intelligence (GAI) tools in education highlights the need to understand their influence on individuals' thinking processes and agency. This research explored 20 university students' interaction with GAI during programming. Participants completed surveys, recorded screens an hour-long programming session, reflected use. To analyse data, we developed AI-augmented coding scheme four dimensions: Question Formulation, Solution Development, Analysis...
Social annotation fosters collaborative learning by encouraging knowledge sharing and a community of inquiry. However, research has primarily focused on the cognitive aspect social annotation. This study aims to contribute an emotional perspective existing literature Specifically, we used valence-aware dictionary for sentiment reasoning algorithm measure students’ tones in 1,954 comments posted during We then utilised linear mixed-effect models examine effect tone reading engagement peer...
eXplainable Artificial Intelligence (XAI) is at the forefront of research. Little attention, however, has been paid to development XAI methods for temporal data. Current state-of-the-art treat instances as independent and do not utilise time dimension. Critical fields such Healthcare Finance often take a form, leaving prominent gap in To this end, we propose utilisation optimisation path based use nature data explanations. In work (1) Extrapolate on new technique explainability forming...