Presentation 2021-11-06
Program code development performance estimation using a peer assessment technique
Minoru Nakayama, Masaki Uto, Macro Temperini, Filippo Sciarrone,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Peer assessment data in open answer session of programming language practices were analyzed with the item response theory (IRT) based generalized many-facet Rasch model (GMFRM). The peer assessment was conducted in five sessions as rating grades by peers to the artifacts produced during a credit course for freshmen at a university. Though the peer ratings in five sessions were sparse data because of practical learning course data, the estimated ability and rating characteristics for all participants were extracted without missing. The estimated ability strongly correlates with teacher's rating and final grade. The characteristics of peer assessment session including learning topics were also evaluated with peer assessment data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Programming Skill / Performance Assessment / Peer Assessment / Item Response Theory (IRT)
Paper # ET2021-23
Date of Issue 2021-10-30 (ET)

Conference Information
Committee ET
Conference Date 2021/11/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Education System for Individual Optimization, etc.
Chair Kenji Watanabe(Hiroshimai Univ.)
Vice Chair Yasuhiro Fujihara(Hyogo College of Medicine)
Secretary Yasuhiro Fujihara(Kochi Univ.)
Assistant Sho Yamamoto(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) Program code development performance estimation using a peer assessment technique
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 Macro Temperini
3rd Author's Affiliation Sapienza University(Sapienza Univ.)
4th Author's Name Filippo Sciarrone
4th Author's Affiliation Roma Tre University(Roma Tre Univ.)
Date 2021-11-06
Paper # ET2021-23
Volume (vol) vol.121
Number (no) ET-232
Page pp.pp.7-12(ET),
#Pages 6
Date of Issue 2021-10-30 (ET)