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Small, Ruth V.; Arnone, Marilyn P. – Knowledge Quest, 2014
Just as with print resources, as the number of Web-based resources continues to soar, the need to evaluate them has become a critical information skill for both children and adults. This is particularly true for schools where librarians often are called on to recommend Web resources to classroom teachers, parents, and students, and to support…
Descriptors: Web Sites, Computer Software Evaluation, Measurement Techniques, Motivation
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Aiken, Lewis R. – Educational and Psychological Measurement, 1996
This article describes a set of 11 menu-driven procedures written in BASICA for MS-DOS based microcomputers for constructing several types of rating scales, attitude scales, and checklists, and for scoring responses to the constructed instruments. The uses of the program are described in detail. (SLD)
Descriptors: Attitude Measures, Check Lists, Computer Assisted Testing, Computer Software
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Harasym, Peter H.; And Others – Journal of Educational Computing Research, 1993
Discussion of the use of human markers to mark responses on write-in questions focuses on a study that determined the feasibility of using a computer program to mark write-in responses for the Medical Council of Canada Qualifying Examination. The computer performance was compared with that of physician markers. (seven references) (LRW)
Descriptors: Comparative Analysis, Computer Assisted Testing, Computer Software Development, Computer Software Evaluation
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Attali, Yigal; Burstein, Jill – Journal of Technology, Learning, and Assessment, 2006
E-rater[R] has been used by the Educational Testing Service for automated essay scoring since 1999. This paper describes a new version of e-rater (V.2) that is different from other automated essay scoring systems in several important respects. The main innovations of e-rater V.2 are a small, intuitive, and meaningful set of features used for…
Descriptors: Educational Testing, Test Scoring Machines, Scoring, Writing Evaluation
Chung, Gregory K. W. K.; Baker, Eva L.; Brill, David G.; Sinha, Ravi; Saadat, Farzad; Bewley, William L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2006
A critical first step in developing training systems is gathering quality information about a trainee's competency in a skill or knowledge domain. Such information includes an estimate of what the trainee knows prior to training, how much has been learned from training, how well the trainee may perform in future task situations, and whether to…
Descriptors: Distance Education, Skill Analysis, Knowledge Level, Prior Learning