A collection of materials we publish openly: notes on university life, supplementary lecture notes, a guide to the research process, and an overview of educational AI. The aim is to make the knowledge produced in our research and teaching usable beyond the lab itself — by students joining the group, students at other universities, researchers entering this field, and teachers in the classroom.
The Garden of University Days
Essays on how to learn and reflect during university life, including the difference between studying and learning and building your own routines. For students starting university.
garden.koike-lab.org LecturesKoike's Lecture Notes
Supplementary notes for undergraduate courses at Kanagawa University — Python, algorithms, and programming languages — with code examples and implementation details.
lecture.koike-lab.org Research GuideThe First Step in Research
A guide for undergraduates beginning their graduation research, covering how to formulate questions, write papers, and respond to peer review. It summarizes the lab's methodology.
docs.koike-lab.org Field MapMap of Cognitive Educational AI
A cross-disciplinary overview of educational AI research spanning cognitive science, learning science, knowledge engineering, and HCI, covering theory, methodology, technology, evaluation, and ethics.
book.koike-lab.orgSuggested reading order
The four resources are arranged roughly as The Garden of University Days → Koike’s Lecture Notes → The First Step in Research → Map of Cognitive Educational AI, widening from university life itself to coursework, research, and the field as a whole.
- Undergraduates new to university can start with The Garden of University Days — essays on studying versus learning and on building your own study habits.
- Course participants should start with Koike’s Lecture Notes, following the schedule of the course and consulting code examples and implementation details as needed.
- Undergraduates and first-year graduate students new to research should read The First Step in Research — a guide for those beginning their graduation research, covering everything from formulating questions to writing papers, and responding to peer review.
- Researchers from other fields and classroom teachers can enter through Map of Cognitive Educational AI and use the chapter most relevant to their interests as a bridge to the lab’s research themes and papers.
More to come
We plan to keep growing this collection. New material will be reachable from this page as it is published.