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Paper Abstract and Keywords
Presentation 2021-11-06 11:05
Program code development performance estimation using a peer assessment technique
Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Macro Temperini (Sapienza Univ.), Filippo Sciarrone (Roma Tre Univ.) ET2021-23
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Programming Skill / Performance Assessment / Peer Assessment / Item Response Theory (IRT) / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 232, ET2021-23, pp. 7-12, Nov. 2021.
Paper # ET2021-23 
Date of Issue 2021-10-30 (ET) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ET2021-23

Conference Information
Committee ET  
Conference Date 2021-11-06 - 2021-11-06 
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. 
Paper Information
Registration To ET 
Conference Code 2021-11-ET 
Language Japanese 
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)  
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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.)
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Speaker
Date Time 2021-11-06 11:05:00 
Presentation Time 25 
Registration for ET 
Paper # IEICE-ET2021-23 
Volume (vol) IEICE-121 
Number (no) no.232 
Page pp.7-12 
#Pages IEICE-6 
Date of Issue IEICE-ET-2021-10-30 


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