Area of research
Computer Science Applications · Information Systems and Management
Research interest
Research interests include Computer science, Multimedia, Artificial intelligence, Context (archaeology), Open educational resources, and Adaptive learning.
Adapting New Learners and New Resources to Micro Open Learning via Online Computation
From computer vision to short text understanding: Applying similar approaches into different disciplines
Measuring Success of Patients’ Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation
A Clinician-Led, Experience-Based Co-Design Approach for Developing mHealth Services to Support the Patient Self-management of Chronic Conditions: Development Study and Design Case
A Comprehensive 6A Framework for Improving Patient Self-Management of Hypertension Using mHealth Services: Qualitative Thematic Analysis
Validation of 4D Components for Measuring Quality of the Public Health Data Collection Process: Elicitation Study
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information
Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service
Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service
Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning
Refinement and augmentation for data in micro open learning activities with an evolutionary rule generator
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning
The Use of Theory in Mobile Health Interventions for Patient Self-Management of Chronic Diseases
Towards the Readiness of Learning Analytics Data for Micro Learning
A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER
(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners
Towards Massive Data and Sparse Data in Adaptive Micro Open Educational Resource Recommendation: A Study on Semantic Knowledge Base Construction and Cold Start Problem
Ontological Learner Profile Identification for Cold Start Problem in Micro Learning Resources Delivery
Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution
Organizing Online Computation for Adaptive Micro Open Education Resource Recommendation
A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment
Profiling and Supporting Adaptive Micro Learning on Open Education Resources
Profiling and Supporting Adaptive Micro Learning on Open Education Resources
MLaaS: A Cloud-Based System for Delivering Adaptive Micro Learning in Mobile MOOC Learning
Micro Learning Adaptation in MOOC: A Software as a Service and a Personalized Learner Model
Drawing micro learning into MOOC: Using fragmented pieces of time to enable effective entire course learning experiences
MLaaS: A Cloud System for Mobile Micro Learning in MOOC
Towards Bringing Adaptive Micro Learning into MOOC Courses
Building a Culturally-Competent Web Site