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Roid, Gale H.; And Others – 1980
An earlier study was extended and replicated to examine the feasibility of generating multiple-choice test questions by transforming sentences from prose instructional material. In the first study, a computer-based algorithm was used to analyze prose subject matter and to identify high-information words. Sentences containing selected words were…
Descriptors: Algorithms, Computer Assisted Testing, Criterion Referenced Tests, Difficulty Level
McLeod, John – 1980
The use of computer-produced materials remote from the terminal can revitalize teaching devices and techniques such as graded exercises, precision teaching, and even conventional text. Teachers need to be aware of inconsistencies in the quality of computer software and of logistical factors involved in the adoption of computer assisted instruction…
Descriptors: Arithmetic, Computer Assisted Instruction, Computer Assisted Testing, Computer Science Education
Larkin, Kevin C.; Weiss, David J. – 1974
Three pyramidal adaptive tests and a conventional peaked test were constructed and administered by computer to two groups of students enrolled in undergraduate psychology courses. Six methods of scoring pyramidal tests were evaluated with respect to score distributions, stability, and the degree of relationship among scoring methods and between…
Descriptors: Adaptive Testing, Aptitude Tests, College Students, Computer Assisted Testing
Betz, Nancy E.; Weiss, David J. – 1976
The effects of immediate knowledge of results (KR) concerning the correctness or incorrectness of each item response on a computer-administered test of verbal ability were investigated. The effects of KR were examined on a 50-item conventional test and a stradaptive ability test and in high- and low-ability groups. The primary dependent variable…
Descriptors: Ability, Achievement Tests, Branching, College Students
Peer reviewedLord, Frederic M. – Applied Psychological Measurement, 1977
Under given conditions, conventional testing and computer-generated repeatable testing (CGRT) are equally effective for estimating examinee ability; CGRT is more effective for estimating the mean ability level of a group and less effective for estimating ability differences among individuals. These conclusion are drawn from domain-referenced test…
Descriptors: Career Development, Computer Assisted Testing, Difficulty Level, Group Norms
Peer reviewedRyman, David H.; And Others – Computers in Human Behavior, 1988
Describes study conducted with U.S. Marine Corps enlisted personnel to measure response time to computer-administered questionnaire items, and to evaluate how measurement of response time might be useful in various research areas. Topics addressed include mood states; the occurrence of straight lining; and experimental effects of sleep loss and…
Descriptors: Computer Assisted Testing, Correlation, Exercise, Fatigue (Biology)
Peer reviewedPalm, Thomas – Social Science Computer Review, 1988
Develops procedures for the automatic generation and incorporation of graphics (both statistical and analytical) into mathematically oriented multiple choice examinations. Uses an integrated spreadsheet to create and associate tabular data, diagrams, questions, and answers. Illustrates the process of constructing multiple choice questions and…
Descriptors: Computer Assisted Testing, Computer Graphics, Data, Diagrams
Olivas, Jerry – Classroom Computer Learning, 1988
Discusses some of the attributes of microcomputer-based school administration packages that are currently available that can provide small- to medium-size schools with full function computing capabilities for much less cost than mini and mainframe computer systems. (TW)
Descriptors: Administrative Organization, Computer Assisted Testing, Computer Managed Instruction, Computer Networks
Peer reviewedAesche, Darryl W.; Parslow, Graham R. – Biochemical Education, 1988
Discusses the use of a bank of about 9,000 test items in a computer-assisted instructional program at Adelaide University (South Australia). Describes the program and outlines the steps in producing an instructional program. (TW)
Descriptors: Biochemistry, College Science, Computer Assisted Instruction, Computer Assisted Testing
Peer reviewedHarrison, David A. – Journal of Educational Statistics, 1986
Multidimensional item response data were created. The strength of a general factor, the number of common factors, the distribution of items loadingon common factors, and the number of items in simulated tests were manipulated. LOGIST effectively recovered both item and trait parameters in nearly all of the experimental conditions. (Author/JAZ)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Correlation
Peer reviewedFreebody, Peter; Cooksey, Ray W. – Reading Psychology, 1985
Describes a computer-based methodology that obtains simple timed responses to sets of words and word-like nonsense items, then presents pilot data depicting estimated vocabulary knowledge and relating it to word frequency and decision response time. (FL)
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Higher Education, Measurement Techniques
Park, Ok-choon; Tennyson, Robert D. – Contemporary Education Review, 1983
The theoretical rationales and procedures of five adaptive computer-based instruction models were reviewed: the mathematical model, the regression model, the Bayesian probabilistic model, the testing and branching model, and artificially intelligent instructional systems. Each model is assessed for contrast of methods and forms, identifiable…
Descriptors: Artificial Intelligence, Bayesian Statistics, Branching, Computer Assisted Instruction
Peer reviewedHiscox, Michael D. – Educational Measurement: Issues and Practice, 1984
This article describes a number of problems every educational measurement specialist should be prepared to confront before using microcomputers to support test-related activities, including problems with hardware, with software, and with implementing a system. It concludes with a checklist for planning a microcomputer application. (BW)
Descriptors: Computer Assisted Testing, Computer Software, Computer Storage Devices, Educational Testing
Hasselbring, Ted S.; Lewis, Preston; Bausch, Margaret E.; Axelson, Mary; Kay, Ken; Honey, Margaret – Appalachia Educational Laboratory at Edvantia (NJ1), 2005
This final edition focuses on two global issues that encompass most, if not all, of the topics explored in previous issues. With an emphasis on academic success for all children, the authors look at a method of universally designed assessment developed by the Kentucky Department of Education and based on the tenets of universal design for…
Descriptors: Student Evaluation, Disabilities, Access to Education, Computer Assisted Testing
Ban, Jae-Chun; Hanson, Bradley A.; Yi, Qing; Harris, Deborah J. – 2002
The purpose of this study was to compare and evaluate three online pretest item calibration/scaling methods in terms of item parameter recovery when the item responses to the pretest items in the pool would be sparse. The three methods considered were the marginal maximum likelihood estimate with one EM cycle (OEM) method, the marginal maximum…
Descriptors: Adaptive Testing, Computer Assisted Testing, Data Analysis, Error of Measurement


