Note: Venue has changed. See the updated details in the event summary below (as of Oct. 12, 2024).

※Click the image below to view the PDF flyer

This hybrid-format symposium brings together four research projects related to the LEAF system and educational data utilization, with the goal of sharing case studies, facilitating dialogue between pilot schools, and introducing current research initiatives.

While the concept of “educational data utilization” continues to gain momentum, the actual practice of integrating data into daily teaching remains limited. On Day 1 (October 19), eight teachers from pilot schools (ranging from elementary to high school) will present real-world classroom examples of how they are using educational data.

On Day 2 (October 20), researchers from the four participating projects will present cutting-edge work on topics such as explainable AI, virtual learning environments, remote teaching, inclusive education, information literacy, ELSI (Ethical, Legal, and Social Issues), and multimodal learning analytics.

We warmly invite educators, school administrators, local boards of education, companies, and researchers to attend and engage in dialogue and knowledge exchange.


Event Summary

Dates:

  • Saturday, October 19, 2024 — 13:00–17:30 (Reception from 12:30)
  • Sunday, October 20, 2024 — 10:00–12:30 (Reception from 9:30)

Participation Fee:

Free (Networking event requires a separate fee)

Format:

Hybrid (In-person at Kyoto University + Zoom)

Venue (In-Person):

[Updated Venue]

Kyoto University, International Science Innovation Building, 5th Floor Symposium Hall

Google Maps

Note: Please be aware that nearby bus stops have also changed.

Recommended stops:

  • Get off at “Hoop Bus – Kyoto University Mae” (5-min walk)
  • Get off at “Kyodai Seimon-mae” via Kyoto City Bus (5-min walk)

Organizer:

Ogata Laboratory, Academic Center for Computing and Media Studies, Kyoto University

Co-Organizer:

Evidence-Driven Educational Research Council (EDE)

Supporters:

Uchida Yoko Co., Ltd. / Kyoto IT Consortium – Education DX Division

New Energy and Industrial Technology Development Organization (NEDO)

Cabinet Office, Council for Science, Technology and Innovation

(In no particular order)


How to Register

Registration is now closed.

Deadline: Friday, October 18, 12:00 (JST)

Note: Registration for the networking event will close once capacity is reached.


Program Overview

October 19 (Sat), 13:00–17:30 (Reception from 12:30)

Theme: Learning from Practical Applications of Educational Data — Case Studies from Pilot Schools

TimeSession / Presentation
12:30–Doors open
Session 1: Project Overviews and Progress 
13:00–13:10Opening Remarks & Symposium Purpose — Hiroaki Ogata (Kyoto University, Professor) (video available)
13:10–13:20Symposium Overview — Izumi Horikoshi (Kyoto University, Assistant Professor) (video available)
13:20–13:30EXAIT: Co-evolution of Learner Self-Explanation and AI Explanation — Yi-Ling Dai (Kyoto University, Researcher)
13:30–13:40Overview of KAKEN & NIER SIP Projects — Izumi Horikoshi
13:40–13:50Kyoto University OKLM Team SIP Project (slides / video available) — Changhao Liang (Kyoto University)
13:50–14:00Break
Session 2: Case Studies (Advanced Schools) 
14:00–14:15LEAF System Implementation in Elementary & Junior High Schools — Sumi Nagahama (Tohoku University)
14:15–14:30AI-Enhanced English Translation Instruction (slides available) — Kazuto Kimura (Saikyo High School)
14:30–14:45Big Data & Individualized Instruction Research (video available) — Hidetoshi Tanaka (Saikyo High School)
14:45–15:00Break
Session 3: Case Studies (New Schools) 
15:00–15:15First 6 Months with LEAF: Math Instruction with Learning Logs (slides / video) — Kenji Kawagishi (Niseko HS)
15:15–15:30LEAF in the Elementary School Context (slides / video) — Naoki Kitazawa (Iwanuma ES)
15:30–15:45Remote Instruction & LEAF at T-base (slides / video) — Toyoki Sato & Akihiro Toeda (Hokkaido T-base)
15:45–16:00Break
Session 4: Expanding Use of Data in Leading Schools 
16:00–16:30Lesson Improvement through Data Use — Tsuyoshi Miyabe (Saikyo Affiliated JHS, Vice Principal) (slides/video)
16:30–16:50Panel Discussion (video available) — Kimura, Tanaka, Kitazawa, Sato, Toeda, Miyabe, Ogata
16:50–17:00Hybrid Closing Remarks — Hiroaki Ogata
17:00–17:10Break
Session 5: Networking Session (In-Person Only) 
17:10–17:20Group Discussion ①
17:20–17:30Group Discussion ②
17:30Day 1 Closing Remarks — Hiroaki Ogata
**18:00–Bus departs for reception (Kyoto Station area)**
**18:30–Networking Reception Begins**

October 20 (Sun), 10:00–12:30 (Reception from 9:30)

Theme: Hear the Latest Research — AI, Virtual Environments, Data Literacy, Ethics, and Policy

TimeSession / Presentation
9:30–Doors open
Session 6: Presentations by Project Researchers (Part 1) 
10:00–Speaker Introductions — Izumi Horikoshi (video available)
10:00–10:15Hokkaido University Initiatives — Kanji Himeno (slides / video available)
10:15–10:30Learning Analytics in Virtual Environments — Kosuke Mouri (slides / video)
10:30–10:45Evaluating Inquiry-Based Learning through Data — Tadashi Inagaki (slides / video)
10:45–11:00Special Education Data Sharing Project Update — Ritsuko Nishihata (slides / video)
11:00–11:15Break
Session 7: Presentations by Project Researchers (Part 2) 
11:15–11:30Education Data × Education Data — Takashi Shimada (slides / video)
11:30–11:45ELSI in Educational Data Use: Current Status and Challenges — Masayuki Murakami (slides / video)
11:45–12:00Educational Data Science and Practice — Kyosuke Takami (NIER) (slides / video)
12:00–12:15EXAIT System Research — Yi-Ling Dai (Kyoto University, Special Researcher)
12:15–12:30Day 2 Closing Remarks — Hiroaki Ogata

Participating Research Projects

  • NEDO (New Energy and Industrial Technology Development Organization)

    “Research and Development of EXAIT: An Educational Support Environment Advancing Co-Evolution of Learner Self-Explanation and AI Explanation Generation” (Project No. P20006)

  • JSPS Grants-in-Aid for Scientific Research (KAKENHI, Category A)

    “Development of an Information Infrastructure for Extracting, Sharing, and Utilizing Evidence from Real-World Educational Data” (Project No. 23H00505)

  • National Institute for Educational Policy Research

    “Implementation, Infrastructure Development, and Policy Design Toward Realizing Data-Driven Education”

  • Cabinet Office, SIP (Strategic Innovation Promotion Program) Phase 3

    “Creating Personalized Learning and Working Environments through Digital Twins” (Project No. 23814782)


Networking Event

Venue:

Kyoto Jinbei — Private Kyoto-style Izakaya

Time:

18:30 start

Participation Fee:

  • Free for project-affiliated participants
  • ¥5,000 for all other attendees

A chartered bus will transport participants from the symposium venue to the dinner location (departing from across the main gate of Kyoto University).

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