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Egi Lab
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The lab researches systems that use sensors to capture learning situations and support education.
AboutAbout the lab
Systems that support education and learning
The Education and Learning Support Systems Lab studies information systems that help people grow through communication.
Building on information engineering and drawing on the perspective of educational technology, the lab develops systems, introduces them into real education and learning settings, and carries out practice and evaluation.
Together with technologies such as learner sensing, the lab studies how to measure the states of learners and groups, and how to make use of the data accumulated in information systems.
On the lab website, the lab is presented as the "Education and Learning Support Systems Lab (Egi-Tsubakimoto Lab)."
The lab is run jointly by Professor Hironori Egi and Associate Professor Yayoi Tsubakimoto.
Key terms
- Multimodal learning analytics
- A research area that uses sensors to collect body movements and speech and estimate motivation, understanding, fatigue, and other states during learning.
- Collaborative learning support system
- A research area that analyzes and supports discussion and joint work in group learning activities.
- Learner sensing
- Technology for collecting the data used in learning and evaluation in order to estimate the situation during learning.
NewsLab news
Doctoral student's paper published in the Transactions of the Information Processing Society of Japan
Master's student's paper published in the Transactions of the Information Processing Society of Japan
Master's student's paper accepted at the international conference CollabTech 2025
Student wins the Best Presentation Award at the Collaboration and Network Services Workshop 2024
Student wins the Outstanding Paper Award and the Young Researcher Award at DICOMO 2024
ResearchResearch themes
The lab researches and develops systems that support education and learning, and carries out practice and evaluation in real education and learning settings. It focuses in particular on multimodal learning analytics, which uses sensors to collect body movements and speech and estimate the situation during learning, and on collaborative learning support systems, which analyze and support group discussion and joint work.
*Illustrative imageAnalyzing and supporting dialogue in group learning
This research develops information systems that support the analysis of dialogue in group learning and intervene through wearable devices. From the speech in face-to-face and online discussions, the system analyzes speaking share and turn-taking and performs speech recognition of the content.
*Illustrative imageInformation systems that support TA instruction
This research develops information systems that support the instruction given by teaching assistants (TAs) in programming courses. Sensors measure students' positions and postures to find learners who need help, and the system suggests support suited to each individual.
*Illustrative imageEstimating learning situations from leg movements
This research places sensors on the desk where a learner sits and estimates the learner's situation from measurements of leg movements. Machine learning estimates interest, difficulty, and fatigue during online learning or self-study, and the results are returned to the learner through means such as real-time visualization.
*Illustrative imageMultimodal analysis of collaborative learning
This research measures and visualizes speech and body movements in collaborative learning through multimodal analysis. The information system detects turning points in activity and understanding, and notifies instructors of situations that need individual intervention so that they can use it for learning support.
MembersFaculty
The members of the Education and Learning Support Systems Lab consist of faculty and doctoral, master's, and undergraduate students.As of 2026
- ProfessorHironori Egi
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: “RELS 452 852 The Contemporary Religious Situation Group Work” MonstreDélicat / CC BY-SA 4.0 (cropped)
- Analyzing and supporting dialogue in group learning: “Japanese students girls discussion group” tata_aka_T from Tokyo, JAPAN / CC BY 2.0 (cropped)
- Information systems that support TA instruction: “Computer Lab Baraboo” JackFromWisconsin / CC0 (cropped)
- Estimating learning situations from leg movements: “Student Desks at the Yale School of Architecture, December 21, 2017” RukshanV / CC BY-SA 4.0 (cropped)
- Multimodal analysis of collaborative learning: “Collaborative Learning with others” Pugal202 / CC BY 4.0 (cropped)
- Related lab (Hashiyama Lab): “Robot-human-face onscreen” Steve Jurvetson from Menlo Park, USA / CC BY 2.0 (cropped)
- Related lab (Akaike Lab): “CSIRO ScienceImage 7664 The wearable bodymapping sleeve” Nick Pitsas, CSIRO / CC BY 3.0 (cropped)
- Related lab (Kobayashi Lab): “XBio illustration – DNA Origami” explorebiology / CC BY 4.0 (cropped)
- Related lab (Yoshinaga Lab): “Google's First Production Server (1999) rack - Computer History Museum ( by Carlo Nardone)” Carlo Nardone from Roma, Italy / CC BY-SA 2.0 (cropped)
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