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ERIC Number: ED505719
Record Type: Non-Journal
Publication Date: 2009-May
Pages: 10
Abstractor: As Provided
Reference Count: 60
ISBN: N/A
ISSN: ISSN-1548-6613
Improving Educational Assessment: A Computer-Adaptive Multiple Choice Assessment Using NRET as the Scoring Method
Sie Hoe, Lau; Ngee Kiong, Lau; Kian Sam, Hong; Bin Usop, Hasbee
Online Submission, US-China Education Review v6 n5 p51-60 May 2009
Assessment is central to any educational process. Number Right (NR) scoring method is a conventional scoring method for multiple choice items, where students need to pick one option as the correct answer. One point is awarded for the correct response and zero for any other responses. However, it has been heavily criticized for guessing and failure to credit partial knowledge. Despite continued research in scoring methods, conventional NR scoring method remains the most popular and widely used procedure. Thus, the problem of crediting partial knowledge and guessing still exist. In addition, the current assessment practices do not take students' misconceptions into consideration. Thus, there is a need to propose a new scoring method that is able to minimize guessing, credit partial knowledge, yet able to diagnose misconceptions. This study proposed the development of a Computer-Adaptive Assessment Software (CAAS) for MC items using the new Number Right Elimination Testing (NRET) which take into consideration these three elements. This paper described the rational for using the NRET, the design and development of CAAS and the results of the pilot study carried out in three secondary schools in Malaysia. (Contains 3 figures and 2 tables.)
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Malaysia