Presentation 2022-10-15
Learner's performance and characteristics of program code skills with IRT based peer assessment analysis
Minoru Nakayama, Masaki Uto, Marco Temperini, Filippo Sciarrone,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Assessment for teaching programming skills is often employed a peer assessment for code sets as a performance assessment. In this report, performance and validity of the developed procedure which is base on the item response theory (IRT) was applied and evaluated in two sets of practical class for programming hands-on session. As the result, the ability of all participants, who joined a peer assessment session at least, can be estimated and these scores more fit to instructor's assessment rather than the raw scores. Also, additional estimated parameters for each participant represent some behavior of rating peer performance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Programming Skill / Performance Assessment / Peer Assessment / Item Response Theory (IRT)
Paper # ET2022-26
Date of Issue 2022-10-08 (ET)

Conference Information
Committee ET
Conference Date 2022/10/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Saga University and Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Learning Support Utilizing New Technologies and Devices, etc.
Chair Kenji Watanabe(Hiroshimai Univ.)
Vice Chair Hisayoshi Kunimune(Chiba Inst. of Tech.)
Secretary Hisayoshi Kunimune(Mejiro Univ.)
Assistant Kazuaki Yoshihara(Kinki Univ.) / Toru Kano(Tokyo University of Science)

Paper Information
Registration To Technical Committee on Educational Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Learner's performance and characteristics of program code skills with IRT based peer assessment analysis
Sub Title (in English)
Keyword(1) Programming Skill
Keyword(2) Performance Assessment
Keyword(3) Peer Assessment
Keyword(4) Item Response Theory (IRT)
1st Author's Name Minoru Nakayama
1st Author's Affiliation Tokyo Institute of Technology(Tokyo Tech.)
2nd Author's Name Masaki Uto
2nd Author's Affiliation The University of Electro-Communications(UEC)
3rd Author's Name Marco Temperini
3rd Author's Affiliation Sapienza University(Sapienza Univ.)
4th Author's Name Filippo Sciarrone
4th Author's Affiliation Universitas Mercatorum(Univ. Mercatorum)
Date 2022-10-15
Paper # ET2022-26
Volume (vol) vol.122
Number (no) ET-212
Page pp.pp.29-34(ET),
#Pages 6
Date of Issue 2022-10-08 (ET)