Uedu Teaching Practice Platform
CognitiveLinguisticSocialEthical
- Skills
- Python, JavaScript, AI/ML, Statistics, Data Visualization
- Projects
- Uedu platform, GenAI tools, Learning Analytics, MMLA
Educational Omics Lab
Research
Three research pillars feed a multimodal Educational Omics framework, from classroom platforms to brain imaging and edge sensing.
Pillars
Three research pillars
Each pillar drives data collection and analysis for one or more Educational Omics dimensions.
Brain Science Instrument R&D
PhysioNeur
- Skills
- Signal Processing, Embedded Systems, Biomedical Engineering
- Projects
- fNIRS Brain Imaging, EEG Systems, Physiological Signal Acquisition
Edge Device R&D
Environmental
- Skills
- IoT, Sensors, Embedded Systems, UAV
- Projects
- Drones, Environmental Monitoring, Wearable Devices, Unmanned Vehicles
Projects
Current projects
Educational Omics and Multimodal Learning Analytics (MMLA)
Integrating physiological signals, behavioral data, environmental context and language interactions into an educational "omics" framework. This research supports multimodal learning analytics (MMLA) for real-time learner modeling and adaptive educational interventions.
Featured
Educational Big Data and Learning Data Lake
Designing scalable architectures to collect, integrate and analyze multimodal learning traces. This research builds trusted data lakes that support learning analytics, enabling personalized feedback and policy-driven improvements in education.
Generative AI for Automated Instructional Design
Using generative AI to support semi-automated courseware creation, including quiz generation, concept mapping and adaptive prompts, to reduce instructional workload while enhancing learner engagement and customization.
Digital Learning Tools
Creating digital platforms and learning scaffolds, such as virtual teaching assistants and multimodal feedback systems, to support student-centered learning in diverse classroom settings.
Development of fNIRS-Based Brain Imaging Systems
Designing and prototyping functional near-infrared spectroscopy (fNIRS) instruments for real-time, non-invasive monitoring of cerebral hemodynamics, with applications in learning cognition research and emotional state detection.
Wearable IoT Integration for Learning and Health
Developing APIs and data pipelines for wearable devices such as smartwatches, supporting the collection and interpretation of physiological data for health-aware, personalized learning.
Drone-Based Environmental Data Collection
Developing unmanned aerial vehicle (UAV) systems that integrate IoT sensors to capture temperature, humidity, air quality and other environmental variables that affect learning conditions.
Recruiting students
Funding
Funded research projects
Projects supported by governmental agencies and institutions.
PINSTC
Physiologically-Aware Language Model (PALM) for Human-AI Collaborative Learning: Multimodal Learning Process Analysis and Information Education Model Construction
Aug 2026 – Jul 2027 · NSTC 115-2410-H-008-028
NT$ 1.07M
PIMOE
Examining Learning Outcomes of an AI-Supported Human-AI Collaborative Python Programming Instructional Model in Higher Education
Aug 2026 – Jul 2027 · MOE-115-TPREE-0008-001Y1
NT$ 280K
PIMOE
A Study on the Learning Transfer Effectiveness of Digital Scaffolding Teaching Methods Based on Generative AI in the "Introduction to Generative Artificial Intelligence" Course
Aug 2025 – Jul 2026 · MOE-114-TPREE-0008-019Y1
NT$ 240K
PIMOE
Exploring Learning Effectiveness of Matrix Immersive Problem Oriented Project-Based Learning (POPjBL) in Capstone Project Course
Aug 2024 – Jul 2025 · MOE-113-TPREE-0008-007Y1
NT$ 240K
PIMOE
Self-regulation and Transfer Learning on AI-based Adaptive Guidance System
Dec 2023 – Jan 2025 · #PEE1122848
NT$ 150K
Co-PIMND
IoT Project
2023 – 2025
NT$ 6.3M