I am a researcher at Big Data Integration Research Center, National Institute of Information and Communications Technology (NICT), Tokyo, Japan.

I received a Ph.D. in Informatics from National Institute of Informatics (NII), The Graduate University for Advanced Studies (SOKENDAI) and a second Ph.D. in Educational Technology from Central China Normal University (CCNU). Before joining NICT, I was an JSPS research fellow at National Institute of Informatics and a postdoctoral fellow at Central China Normal University Wollongong Joint Institute (CCNU-UOW).

My main work mostly focuses on researching and developing data-driven models for intelligent human-computer interaction and intelligent tutoring systems. I have done researches span topics in Intelligent Tutoring System and AI Enhanced Learning, including Automated Question Solver (especially in plane geometry), Question Understanding, Image Understanding, Language & Vision, Educational robots, Educational Human-computer Interaction, etc. I served as a JSPS project Principal Investigator for data-driven personalization of student online learning support (see project page). My current research interests involve developing data mining and deep learning algorithms to discover insights of learners and learning contents in support of personalized cyber-physical learning, using techniques incorporating IoT multi-modal learning analytics, deep learning, as well as the integrated research with educational applications.

Email

wbgan.cs@gmail.com

Research Interest

• Education/Cognitive theory + AI techniques
• Digital Education, Multimodal Learning Analytics, Artificial Intelligence Enhanced Learning, Intelligent Tutoring Systems

Experiences

• National Institute of Information and Communications Technology (NICT), Tokyo, Japan
  Researcher, at Big Data Integration Research Center,
  Main Work: Smart data analytics to enable adaptive behavior support for human wellness.
  2021.11 – Present

• National Institute of Informatics (NII), Tokyo, Japan
  JSPS Research Fellowship for Young Scientists,
  Main work: AI enhanced adaptive tutoring system by generating individualized questions and answers based on cognitive diagnostic assessment.
  2020.04 – 2021.10
  Grant-in-Aid for JSPS Fellows Project ID: 20J15339

• National Institute of Informatics (NII), Tokyo, Japan
  Research Assistant,
  Main work: Developing data-driven deep architecture for inferring learner knowledge proficiency: modeling learner’s dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing.
  2019.04 – 2020.03

• Central China Normal University Wollongong Joint Institute (China-Australia), Wuhan, China
  Project Researcher,
  Main work: Developing machine learning models to automatically understand and formalization of plane geometry proving problems in natural language.
  2018.07 – 2019.03

• National Engineering Research Center for E-Learning (NERCEL), Central China Normal University, Wuhan, China
  Research Assistant,
  Main work: Proposed various approaches for automatically solving plane geometry questions stated by text and diagram.
  2014.07 – 2018.06

Funding

• Grant-in-Aid for JSPS Fellows (20J15339), Japan Society for the Promotion of Science (JSPS) [2,100,000 Yen]
  2020.04.24–2022.03.31
  Project Name: AI enhanced adaptive tutoring system by generating individualized questions and answers based on cognitive diagnostic assessment
  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20J15339/