| 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 |
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) |
| Keyword(5) |
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| Keyword(6) |
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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 |
Author-1 |
| Date Time |
2021-11-06 11:05:00 |
| Presentation Time |
25 minutes |
| Registration for |
ET |
| Paper # |
ET2021-23 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.232 |
| Page |
pp.7-12 |
| #Pages |
6 |
| Date of Issue |
2021-10-30 (ET) |