Sekiya Takayuki 関谷貴之

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SEKIYA Takayuki 関谷貴之

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Researcher Number	70323508
Other IDs
Affiliation (Current)	2025: 東京大学, 情報基盤センター, 助教
Affiliation (based on the past Project Information) *help	2017 – 2019: 東京大学, 情報基盤センター, 助教 2013 – 2015: 東京大学, 情報基盤センター, 助教
Review Section/Research Field	Principal Investigator Learning support system
Keywords	Principal Investigator クローラ / ウェブクローリング / クローリング / 計算機科学 / カリキュラム / 機械学習 / ウェブクローラ / シラバス / プログラミング / トレーシング / 誤答分析 / プログラミング教育

Quantitative Analysis and Application of Curriculum Using a Large Amount of Automatically Collected Syllabus InformationPrincipal Investigator
- Principal Investigator
  
  Sekiya Takayuki
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Learning support system
- Research Institution
  The University of Tokyo
Research on Understanding of Programming Skills for Introductory Programming EducationPrincipal Investigator
- Principal Investigator
  
  SEKIYA Takayuki
- Project Period (FY)
  2013 – 2015
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Learning support system
- Research Institution
  The University of Tokyo

All 2019 2018 2017 2013

All Journal Article Presentation

[Journal Article] Investigation on University Websites for Semi-automated Syllabus Crawling2019
- Author(s)
  Sekiya Takayuki、Matsuda Yoshitatsu、Yamaguchi Kazunori
- Journal Title
  
  IEEE Frontiers in Education Conference (FIE)
  
  Volume: 1 Pages: 1-7
- DOI
  10.1109/fie43999.2019.9028479
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H01837
[Journal Article] Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA2018
- Author(s)
  Matsuda Yoshitatsu、Sekiya Takayuki、Yamaguchi Kazunori
- Journal Title
  
  Journal of Information Processing
  
  Volume: 26 Issue: 0 Pages: 497-508
- DOI
  10.2197/ipsjjip.26.497
- NAID
  130007397263
- ISSN
  1882-6652
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17H01837
[Journal Article] Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach2017
- Author(s)
  Matsuda Yoshitatsu、Sekiya Takayuki、Yamaguchi Kazunori
- Journal Title
  
  Neural Information Processing
  
  Volume: 10638 Pages: 186-195
- DOI
  10.1007/978-3-319-70139-4_19
- ISBN
  9783319701387, 9783319701394
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H01837
[Journal Article] A web-based curriculum engineering tool for investigating syllabi in topic space of standard computer science curricula2017
- Author(s)
  Sekiya Takayuki、Matsuda Yoshitatsu、Yamaguchi Kazunori
- Journal Title
  
  2017 IEEE Frontiers in Education Conference (FIE), Indianapolis, IN, USA
  
  Volume: 00 Pages: 1-9
- DOI
  10.1109/fie.2017.8190598
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H01837
[Presentation] Tracing Quiz Set to Identify Novices’ Programming Misconceptions2013
- Author(s)
  Takayuki Sekiya, Kazunori Yamaguchi
- Organizer
  Koli Calling ’13
- Place of Presentation
  Koli, Finland
- Data Source
  KAKENHI-PROJECT-25540160

1. YAMAGUCHI Kazunori (80158097)

# of Collaborated Projects: 2 results

# of Collaborated Products: 4 results
2. 松田源立 (40433700)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results

Sekiya Takayuki 関谷 貴之

SEKIYA Takayuki 関谷 貴之

Research Projects

Research Products

Co-Researchers

Quantitative Analysis and Application of Curriculum Using a Large Amount of Automatically Collected Syllabus InformationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Research on Understanding of Programming Skills for Introductory Programming EducationPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Investigation on University Websites for Semi-automated Syllabus Crawling2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA2018

Author(s)

Journal Title

DOI

NAID

ISSN

Language

Data Source

[Journal Article] Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach2017

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] A web-based curriculum engineering tool for investigating syllabi in topic space of standard computer science curricula2017

Author(s)

Journal Title

DOI

Data Source

[Presentation] Tracing Quiz Set to Identify Novices’ Programming Misconceptions2013

Author(s)

Organizer

Place of Presentation

Data Source

Sekiya Takayuki 関谷貴之

SEKIYA Takayuki 関谷貴之