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Cox, Troy L.; Davies, Randall S. – CALICO Journal, 2012
This study examined the use of automatic speech recognition (ASR) scored elicited oral response (EOR) tests to assess the speaking ability of English language learners. It also examined the relationship between ASR-scored EOR and other language proficiency measures and the ability of the ASR to rate speakers without bias to gender or native…
Descriptors: English Language Learners, Computer Assisted Testing, Computer Software, Computer Software Evaluation
Peer reviewedShermis, Mark D.; Mzumara, Howard R.; Bublitz, Scott T. – Journal of Educational Computing Research, 2001
This study of undergraduates examined differences between computer adaptive testing (CAT) and self-adaptive testing (SAT), including feedback conditions and gender differences. Results of the Test Anxiety Inventory, Computer Anxiety Rating Scale, and a Student Attitude Questionnaire showed measurement efficiency is differentially affected by test…
Descriptors: Adaptive Testing, Computer Anxiety, Computer Assisted Testing, Gender Issues
Peer reviewedClariana, Roy; Wallace, Patricia – British Journal of Educational Technology, 2002
Describes a study that seeks to confirm several key factors in computer-based versus paper-based assessment. Based on earlier research, the factors considered in this study of undergraduates include content familiarity; computer familiarity; competitiveness; and gender. Reports results of analysis of variance that showed the computer-based test…
Descriptors: Academic Achievement, Analysis of Variance, Computer Assisted Testing, Computer Attitudes
Peer reviewedStephens, Derek – Education for Information, 2001
Compares the use of computers with traditional paper and pencil to deliver objective tests for summative assessment with undergraduates in the United Kingdom. Considers issues of gender differences, objective testing, computer anxiety, and benefits to staff and students, and recommends the need for pre-test preparation and practice testing.…
Descriptors: Comparative Analysis, Computer Anxiety, Computer Assisted Testing, Gender Issues

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