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Educational Information Infrastructure Lab
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A division that analyzes learning records to study information technology that supports learning.
AboutAbout the lab
Supporting how students learn through learning data
The Educational Information Infrastructure Division is a division of the Research Institute for Information Technology, whose faculty research areas include learning support systems and educational technology.
Assistant Professor Huiyong Li studies how to build environments, using data such as learning logs, in which students can advance their learning on their own initiative.
Associate Professor Changhao Liang uses learning records to investigate how to choose peers who teach each other and how to form groups.
Key terms
- Learning analytics
- A research field that collects and analyzes data such as learning logs from digital materials and uses it to support learning
- Metacognition
- The ability to grasp and reflect on one's own state of understanding and ways of learning
- Peer learning
- A form of learning in which students teach and learn from one another
ResearchResearch themes
In this division, Assistant Professor Huiyong Li conducts research in learning analytics, educational data mining, and artificial intelligence in education. Associate Professor Changhao Liang studies mechanisms that support peer learning among students based on learning records.
*Illustrative imageSupporting Learning with Learning Analytics
The division automatically collects learning logs from digital materials and health data such as sleep and exercise, and builds environments that encourage students to advance their learning on their own. With "GOAL", a system that combines AI and a dashboard, it is working on visualizing learning and health status and presenting personalized study plans.
*Illustrative imageData Analysis of Self-Regulated Learning
The division analyzes data such as learning logs, eye movements, electrodermal activity, and EEG to identify, assess, and strengthen students' ability to regulate their own learning. It is also researching and developing effective AI feedback systems.
AI Agents for Programming Education
The division studies large language model agents specialized for education. It has developed "MetaStep", a system of multiple AI agents that strengthens students' metacognitive skills in programming education, aiming at learning support tailored to each individual.
*Illustrative imagePeer Learning That Supports Learning Together
The division studies mechanisms that recommend peers to teach each other based on learners' knowledge states, as well as ways of forming groups. Its research, which targets university courses and junior high and high school learning, has been compiled into papers.
MembersFaculty
- ProfessorChengjiu Yin
- Associate ProfessorLIANG CHANGHAO
- Assistant ProfessorHuiyong Li
- Assistant ProfessorXiaojuan Cai
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “AI and Wikipedia in Education session in wikimania 2026 (4)” Anup Sadi / CC BY-SA 4.0 (cropped)
- Supporting Learning with Learning Analytics: “E-learningE-E-Learning Computer” LeanForward lf / CC BY-SA 2.0 (cropped)
- Data Analysis of Self-Regulated Learning: “African student studying at dormitory from tablet computer” Tinsae Belay / CC BY-SA 4.0 (cropped)
- Peer Learning That Supports Learning Together: “Let's Connect Peer Learning Program Wikimania 2025 Poster 02” Chinmayee Mishra / CC BY-SA 4.0 (cropped)
- Related lab (〈情報システムセキュリティ〉): “Cybersecurity Visuals Challenge 2019 - Rebecca Wang” Rebecca Wang / CC BY 4.0 (cropped)
- Related lab (先端計算科学
（美添 一樹） ): “Xserve cluster NASA” 作者不詳 / Public domain (cropped) - Related lab (〈ネットワーク・セキュリティ〉): “Network based intrusion detection system” Rkouere / CC BY-SA 4.0 (cropped)
- Related lab (〈汎オミクス計測・計算科学〉): “A Data-Driven Journey to the Center of the Eath” OLCF / CC BY 2.0 (cropped)
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