Educational Omics Lab · National Central University

Dr. Chia-Kai Chang

Assistant Professor, Center for General Education

I study how technology can understand and support human learning — combining generative AI, multimodal learning analytics, wearable sensing and brain imaging into an Educational Omics framework for technology-enhanced education.

Generative AI in Education Learning Analytics & MMLA Wearable IoT fNIRS Brain Imaging
Portrait of Dr. Chia-Kai Chang
Best Short PaperIEEE ICALT 2025
5+20
Journal + conference papers
(5 more accepted)
130
Citations · h-index 5
8/1
Funded projects as PI / Co-PI
NT$ 9.88M
Total research funding

1 NSTC4 MOE1 MND3 NCU 1 graduate · 5 undergraduate students 12 students with awards

Educational Omics framework Six omics dimensions around the Uedu Educational Omics core: Cognitive, Linguistic, Social and Ethical omics from the Uedu platform; PhysioNeur omics from brain science R&D; Environmental omics from edge device R&D. Uedu Educational Omics Cognitive Omics PhysioNeur Omics Social Omics Environmental Omics Linguistic Omics Ethical Omics

Research framework

Educational Omics

A multimodal infrastructure that integrates six omics dimensions — powered by the Uedu platform, brain science instruments and edge devices — to understand and transform technology-enhanced learning.

  • Uedu PlatformCognitive · Linguistic · Social · Ethical omics
  • Brain Science R&DPhysioNeur omics
  • Edge Device R&DEnvironmental omics

Research pillars & projects

Featured

In the spotlight

Garmin Health research glimpse: stress research
Garmin Health · Research Glimpse

Exploring stress research with the MindFit app

Researchers at NCU created the MindFit app to help improve mental health and well-being. The app uses an AI model to predict emotions from HRV data collected by Garmin smartwatches together with personal mood journal entries.

Read the story

Updates

News

  • New NSTC Research Grant for Newly Appointed Faculty: Physiologically-Aware Language Model (PALM) for Human-AI Collaborative Learning.

  • New MOE Teaching Practice Research Program project on an AI-supported human-AI collaborative Python programming instructional model.

  • AI Teaching Assistants at Scale nominated for Best Paper at ACM Learning at Scale (L@S) 2026.

  • Five papers accepted at IEEE ICALT, IEEE EMBC and IEEE BigDataService 2026.

  • Chat as Learning published in Computers and Education: Artificial Intelligence.

  • Best Short Paper Award at IEEE ICALT 2025.

Recognition

Awards

Supported by

Funding & partners

National Science and Technology Council (NSTC) Ministry of Education (MOE) Ministry of National Defense (MND) Garmin

Interested in joining or collaborating?

Students and partners interested in AI for education, learning analytics or sensing are welcome to get in touch.

Contact me