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Minhui Zhong; Jinxia Jiang; Han Zhang; Xia Duan – Interactive Learning Environments, 2023
Newly registered nurses' emergency response capability falls short of their employers' expectations. Therefore, they need to develop this ability to cope with various changes in the clinic. Unfortunately, traditional learning has not been good enough in cultivating nursing skills and fostering self-directed learning which plays a key role in the…
Descriptors: Flipped Classroom, Nurses, Nursing Education, Hospitals
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Folk, Valerie Greaud; Green, Bert F. – Applied Psychological Measurement, 1989
Some effects of using unidimensional item response theory (IRT) were examined when the assumption of unidimensionality was violated. Adaptive and nonadaptive tests were used. It appears that use of a unidimensional model can bias parameter estimation, adaptive item selection, and ability estimation for the two types of testing. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Computer Assisted Testing, Computer Simulation
Zeng, Lingjia; Bashaw, Wilbur L. – 1990
A joint maximum likelihood estimation algorithm, based on the partial compensatory multidimensional logistic model (PCML) proposed by L. Zeng (1989), is presented. The algorithm simultaneously estimates item difficulty parameters, the strength of each dimension, and individuals' abilities on each of the dimensions involved in arriving at a correct…
Descriptors: Ability Identification, Algorithms, Computer Simulation, Difficulty Level
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Park, Dong-Gun; Lautenschlager, Gary J. – Applied Psychological Measurement, 1990
The effectiveness of two iterative methods of item response theory (IRT) item bias detection was examined in a simulation study. A modified form of the iterative item parameter linking method of F. Drasgow and an adaptation of the test purification procedure of F. M. Lord were compared. (SLD)
Descriptors: Ability Identification, Computer Simulation, Item Bias, Item Response Theory
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De Ayala, R. J.; And Others – Journal of Educational Measurement, 1990
F. M. Lord's flexilevel, computerized adaptive testing (CAT) procedure was compared to an item-response theory-based CAT procedure that uses Bayesian ability estimation with various standard errors of estimates used for terminating the test. Ability estimates of flexilevel CATs were as accurate as were those of Bayesian CATs. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Comparative Analysis
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Crocker, D. M. E.; Turner, J. D. – Computers and Education, 1988
Outlines the development of a computer-based means of assessment and training for motorized wheelchair users. Programs designed to run on a BBC microcomputer that allow the ability of a severely handicapped person to be tested are explained; a joystick-controlled wheelchair simulation is described, and its use with children highlighted.…
Descriptors: Ability Identification, Children, Computer Graphics, Computer Simulation
Ignatz, Mila E.; Ignatz, Milton – 1987
There are many problems involved in upgrading scientific literacy in high schools: poorly qualified teachers, the lack of good instructional materials, and economic and academic disadvantages all contribute to the problem. This document describes a project designed to increase the opportunities available to the high school science student to…
Descriptors: Ability Identification, Academically Gifted, Black Students, Computer Simulation
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission