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Takagi Lab
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The lab builds new education and learning environments using information systems and AI.
AboutAbout the lab
A theory-oriented, field-first science of future education and learning environments
The Takagi Lab identifies problems in educational and learning settings and researches new learning methods and information systems to solve them.
It also works on designing and building new education and learning environments that use technologies such as AI and IoT.
Student research topics include supporting question-creation learning with generative AI and systems that help learners reflect on their learning.
Research topics are decided with students' wishes as the first priority.
Key terms
- Question-creation learning
- A learning method in which learners deepen their learning by creating questions themselves
- Rubric
- A table of evaluation criteria used to measure how well something has been achieved
- Item pool
- A collection of questions whose difficulty and discrimination are known, intended for use in adaptive testing
NewsLab news
A paper accepted by the Transactions of the Japanese Society for Artificial Intelligence was published
Won the Student Encouragement Award at the IPSJ Symposium on Information Education (SSS2026)
Won a Research Meeting Excellence Award
A paper was accepted by the IPSJ Transactions on Computers and Education (TCE)
A paper by a doctoral student was accepted by IEEE ACCESS
ResearchResearch themes
The lab identifies problems in education and learning and develops new learning methods and information systems to solve them. It also works on designing and building education and learning environments that use technologies such as AI and IoT.
*Illustrative imageA system for collaborative question creation by learners
This is a learning support system that uses ICT so that learners can create questions on their own initiative. Associate Professor Takagi developed it as an undergraduate, and Soka University now operates it. Learners and teachers can comment on the questions that are created, and learners compete for points, which encourages voluntary learning.
*Illustrative imageQuestion-creation learning and thinking, judgment, and expression skills
To clarify the learning effects of question-creation learning, the lab analyzes the relationship between question-creation learning and thinking, judgment, and expression skills. It does so using an original rubric it created to measure these skills.
*Illustrative imageNext-generation support system for question-creation learning
Through question-creation learning, in which learners deepen their learning by creating questions themselves, the lab aims to build a learning environment where learners can proactively improve their thinking, judgment, and expression skills. With use in computerized adaptive testing in mind, it is also building an item pool, a collection of questions whose difficulty and discrimination are known.
*Illustrative imageAutomatic question generation system
To reduce the burden of creating questions for certification exams, the lab proposed a question-creation support system that uses questions automatically generated from past exam questions. It extracts the knowledge contained in past exam questions to build a knowledge base.
MembersFaculty
The Takagi Lab consists of faculty, students in the doctoral, master's, and undergraduate programs, and research students.As of 2026
- Associate ProfessorMasanori Takagi
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: “Teacher training in Naura” Elhegamohamed / CC BY-SA 4.0 (cropped)
- A system for collaborative question creation by learners: “Classroom with greenchairs” MichaellaaRubio / CC BY 4.0 (cropped)
- Question-creation learning and thinking, judgment, and expression skills: “Fountain pen writing (literacy)” Petar Milošević / CC BY-SA 4.0 (cropped)
- Next-generation support system for question-creation learning: “Tabletunterricht 06” Aigner Ronja, Kohlmeier Michelle / CC0 (cropped)
- Automatic question generation system: “Botany Exam Paper” Wikiniini76 / CC BY-SA 3.0 (cropped)
- Related lab (渡辺 博芳 研究室): “Summer empty classroom, blackboard and flowers on tables, 2023” AKA MBG / CC0 (cropped)
- Related lab (柏原 昭博 研究室): “Boe Bot” Jeffrey Avery from Las Vegas, US / CC BY 2.0 (cropped)
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