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Forehand, Garlie A. – 1989
This paper focuses on computer-based assessment embedded in the process of instruction, with the assessment being used for placement, assignment, instructional feedback, progress assessment, and/or exit testing. This discussion is based on experience in developing and evaluating assessment and instruction materials for college-level remedial…
Descriptors: College Students, Computer Assisted Instruction, Computer Assisted Testing, Educational Assessment
Jelden, D. L. – 1987
A study of 696 undergraduates at the University of Northern Colorado was undertaken to determine the effects of computerized unit test item feedback on final examination scores. The study, which employed the PHOENIX computer managed instruction system, included students at all undergraduate levels enrolled in an Oceanography course. To determine…
Descriptors: College Students, Computer Assisted Instruction, Computer Assisted Testing, Feedback
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McBride, James R.; Weiss, David J. – 1974
A series of four vocabulary norming tests was used to develop a large, homogeneous pool of vocabulary test items for use in computer-administered adaptive testing research. Five hundred seventy-five unique vocabulary knowledge items were divided among the four norming tests, and administered to separate groups of college undergraduates. Norming…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Item Analysis
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Jones, W. Paul – Measurement and Evaluation in Counseling and Development, 1993
Investigated model for reducing time for administration of Myers-Briggs Type Indicator (MBTI) using real-data simulation of Bayesian scaling in computerized adaptive administration. Findings from simulation study using data from 127 undergraduates are strongly supportive of use of Bayesian scaled computerized adaptive administration of MBTI.…
Descriptors: Bayesian Statistics, Classification, College Students, Computer Assisted Testing
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Kremer, John F. – New Directions for Teaching and Learning, 2004
Can computers help with one of the most persistent challenges of large classes: the accurate and efficient measurement of student learning?
Descriptors: Computer Assisted Testing, Computer Security, Case Studies, Instructional Design
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Vervliet, Bram; Vansteenwegen, Debora; Eelen, Paul – Learning & Memory, 2004
In a human fear conditioning paradigm using the skin conductance response (SCR), participants were assigned to two groups. Following identical acquisition, group ABA (n = 16) was extinguished to a generalization stimulus (GS), whereas group AAB (n = 20) was extinguished to the conditioned stimulus (CS). At test, presenting the CS in group ABA…
Descriptors: Visual Stimuli, Conditioning, Fear, Generalization
Beaujean, A. Alexander; Knoop, Andrew; Holliday, Gregory – Learning Disability Quarterly, 2006
The purpose of this pilot study was to determine if a single math-based chronometric task could accurately discriminate between college students with and without a diagnosed math disorder. Analyzing data from 31 students (6 in the case group, 25 in the clinical comparison group), it was found that the single chronometric task could accurately…
Descriptors: Psychometrics, College Students, Predictor Variables, Educational Diagnosis
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
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Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
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Lee, Jo Ann – Educational and Psychological Measurement, 1986
This study investigated the effects of past computer experience on the computerized aptitude test performance of college students. Subjects were 92 undergraduates who completed an arithmetic reasoning test by computer and a Computer Experience Questionnaire. Past computer experience did account for a significant amount of variance on the…
Descriptors: Analysis of Covariance, College Students, Computer Assisted Testing, Computer Literacy
Fouladi, Rachel T.; McCarthy, Christopher J.; Moller, Naomi P. – 2001
In recent years many researchers, clinicians, and testing companies have shifted from paper-and-pencil to computer administrated tests of psychological measures. This paper explores the feasibility of using the Internet to collect data from the Inventory of Parent and Peer Attachment (IPPA), the Negative Mood Rating Scale (NMRS), and the Trait…
Descriptors: Affective Behavior, Attachment Behavior, College Students, Computer Assisted Testing
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Hansen, Jo-Ida C.; Neuman, Jody L.; Haverkamp, Beth E.; Lubinski, Barbara R. – Measurement and Evaluation in Counseling and Development, 1997
Examined user reaction to computer-administered and paper-and-pencil-administered forms of the Strong Interest Inventory. Results indicate that user reactions to the two administration modes were reasonably similar in most areas. However, the computer group indicated more often that their version was easier to use and follow. (RJM)
Descriptors: College Students, Computer Assisted Testing, Higher Education, Interest Inventories
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De Ayala, R. J. – Educational and Psychological Measurement, 1989
A polychotomous nominal response model-based computerized adaptive test (CAT) was simulated using data from 1,093 University of Texas students. The ability estimation of this model and its overall performance were compared with those of a dichotomous three-parameter logistic model-based CAT. Advantages and drawbacks of nominal response CAT are…
Descriptors: Adaptive Testing, College Students, Comparative Analysis, Computer Assisted Testing
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Verguts, Tom; De Boeck, Paul – Applied Psychological Measurement, 2000
Developed an extension of the Rasch model from a Bayesian point of view and used the model to study whether learning occurred throughout a computer-administered intelligence test. Results from 137 college students indicate that learning did occur and that there might be individual differences in learning rate. (SLD)
Descriptors: Bayesian Statistics, College Students, Computer Assisted Testing, Higher Education
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Halkitis, Perry N. – Journal of Outcome Measurement, 1998
The precision of a computerized adaptive test (CAT) with a limited item pool was measured using test results from 4,494 nursing students. Regardless of the item pool size, CAT provides greater precision in measurement with a smaller number of items administered even when the choice of items is limited, but CAT fails to achieve equiprecision along…
Descriptors: Ability Identification, Adaptive Testing, College Students, Computer Assisted Testing
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