SEMINAR B(1)

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Lecturer(s)	YAMADA, AKITAKA
Credit(s)	2
Academic Year/Semester	2025 Fall
Day/Period	Mon.5
Campus	SFC
Class Format	Face-to-face classes (conducted mainly in-person)
Registration Number	48080
Faculty/Graduate School	POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Year Level	1, 2, 3, 4
Field	RESEARCH SEMINARS SEMINARS
Grade Type	This item will appear when you log in (Keio ID required).
Prerequisites(Recommended)	データ分析や統計学の入門の授業を取っていることが望ましいが、必須ではない。
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Location	SFC
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Student Screening *For conditions regarding "additional permission", please refer to the "Student Screening Details" section. Approval for additional permission is at the lecturer's discretion, and is not guaranteed.	This item will appear when you log in (Keio ID required).
Screening Method *If selection is by lottery: Complete the course registration process and check your permission status on the course registration screen. If selection is by assignment: Carefully review the "Student Screening Details" section, register for the course via the "Assignment Submission URL," and submit the required assignment.	This item will appear when you log in (Keio ID required).
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Equipment & Software	oXgen, R, stan, python
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Course Description	The Seminar is central to activities at SFC where faculty members and students work together on a diversity of issues as a prelude to the Graduation Project. At SFC, students do not merely learn answers to given problems. Education at SFC aims to nurture and send out leaders of the future who are able to identify problems and create methods of resolving them. Through participation in such research, students work on real problems in society and gain a high level of expertise, and with this in hand, they embark on their Graduation Project that will be their "fruit of designing the future" as well as a personal proposal as they advance towards the future as individuals.
K-Number	FPE-CO-05003-211-02

Course Administrator	Faculty/Graduate School	FPE	POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Administrator	Department/Major	CO
Main Course Number	Level	0	Faculty-wide
	Major Classification	5	Research Seminars
	Minor Classification	00	Seminar
	Subject Type	3	Elective subject
Supplemental Course Information	Class Classification	2	Lecture
	Class Format	1	Face-to-face classes (conducted mainly in-person)
	Language of Instruction	1	Japanese
Academic Discipline		02	Literature, linguistics, and related fields

Course Summary

This seminar explores the construction and analysis of digital text archives (corpora) from the perspectives of Linguistics, Digital Humanities, and Fieldwork.

Course Description/Objectives/Teaching Method/Intended Learning Outcome

A. Course Content
This seminar is structured around three key steps:

1. Fieldwork: Collecting Language Data

Participants will gather linguistic data based on their own interests. Examples include recording dialects from their hometown or collecting English composition samples from learners at educational institutions that have agreed to participate.

2. Digital Archiving: Creating a Digital Text Archive

Using various tools, participants will transcribe the collected data into a searchable digital format and annotate it appropriately, gaining hands-on experience in creating a digital text archive.

3. Data Analysis: Interpreting Text Data

Participants will analyze the digital text data using applied statistical methods and provide linguistic interpretations.

B. Seminar Format

This seminar will proceed in two main styles:

1. Input (Knowledge Acquisition):
Participants will read well-known textbooks and research papers to learn the knowledge, techniques, and analytical methods used in previous studies. As for the stats, we will watch a video to enhance the skills.

2. Output (Practical Application):
In addition to working with existing corpora, participants will apply the knowledge they have acquired by creating their own corpora and performing annotations.

D. Goals

The goal of this seminar is to enable participants to:

1. Collect linguistic data independently.

2. Archive the collected data effectively.

3. Perform appropriate analyses on the archived data.

Research Seminar Theme

Linguistics, Digital Humanities, and Fieldwork

Project Theme (next semester)

Linguistics, Digital Humanities, and Fieldwork

Active Learning MethodsDescription

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Preparatory Study

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Course Plan

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Method of Evaluation

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Lab / Skill-development / On-site training	An educational approach in which students deepen their understanding of educational content through first-hand experience and trial-and-error by initiating their own activities at facilities and accommodations both on and off campus.
Fieldwork	An educational approach in which students conduct surveys and observations on their own to collect information both on and off campus.
Presentations	An educational approach in which students deepen their understanding of educational content by preparing materials and delivering presentations in class.
Discussions, Debates	An educational approach in which students deepen their understanding of educational content through sharing and discussing their opinions on designated topics.
Group work	An educational approach in which students are divided into small groups and assigned tasks on issues related to educational content.
Role-playing	An educational approach in which students deepen their understanding of educational content by being assigned specific roles to play, thus allowing them to experience different viewpoints.
Flipped classroom	An educational approach in which students study the course lecture in advance, and questions and discussions relating to that content are then held in class.
Problem-based learning	An educational approach in which students acquire knowledge and skills related to educational content by attempting to tackle specific projects or problems posed to them.