%0 Conference Proceedings
%T A Scoring System for Short Answers on the Test in a Large Group
%+ Hallym University
%A Lee, Jae-Young
%Z Part 1: Algorithms, Scheduling, Analysis, and Data Mining
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 9th International Conference on Network and Parallel Computing (NPC)
%C Gwangju, South Korea
%Y James J. Park
%Y Albert Zomaya
%Y Sang-Soo Yeo
%Y Sartaj Sahni
%I Springer
%3 Network and Parallel Computing
%V LNCS-7513
%P 42-47
%8 2012-09-06
%D 2012
%R 10.1007/978-3-642-35606-3_5
%K remote education
%K subjective-type evaluation
%K automatic scoring system
%K Internet-based scoring system
%Z Computer Science [cs]Conference papers
%X In this paper, we have developed the scoring system that scores short answers based on the score table updated by average scores of non-existing answers. The accuracy and the consistency are very important, because the score influences a life. Automatic mark systems have consistency but need more accuracy. In the paper and pencil, a consistency is difficult to maintain. To achieve accuracy and consistency, the scoring system consists of three passes. The first pass is to score the applicant’s answers based on the ready-made score table if it is in the table. If not, the second pass updates the table with the average of credits for which committee members evaluate the non-existing answer. Finally, the third pass is to score non-existing answer based on the updated table.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-01551358/document
%2 https://inria.hal.science/hal-01551358/file/978-3-642-35606-3_5_Chapter.pdf
%L hal-01551358
%U https://inria.hal.science/hal-01551358
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-7513