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Bishop, Dan – InCider, 1983
Following a discussion of drill/practice and tutorial programing techniques (SE 533 144), this part focuses on techniques dealing with text problems. Various listings are included to demonstrate such methods as the READ/DATA approach in presenting questions to students. (JN)
Descriptors: Computer Assisted Testing, Computer Programs, Elementary Secondary Education, Instructional Materials
Peer reviewed Peer reviewed
Zatz, Joel L. – American Journal of Pharmaceutical Education, 1982
A method for computer grading pharmaceutical calculations exams in which students convert their answers into scientific notation and enter their solutions onto a mark sense form is described. A table is generated and then posted listing student identification numbers, exam grades, and which problems were missed. (Author/MLW)
Descriptors: Computation, Computer Assisted Testing, Computer Programs, Grading
Peer reviewed Peer reviewed
Anderson, Jonathan – Journal of Research in Reading, 1983
Reports a number of modifications to the computer readability program STAR (Simple Tests Approach to Readability) designed to make it more useful. (FL)
Descriptors: Computer Assisted Testing, Content Analysis, Readability, Readability Formulas
Jelden, D. L. – AEDS Monitor, 1982
Describes a procedure for using the computer to assist in evaluating the progress of students on pretests, unit tests, posttests or a combination of tests. The use of computers to evaluate cognitive objectives of a course is examined. Twenty-four references are listed. (MER)
Descriptors: Cognitive Tests, Computer Assisted Testing, Criterion Referenced Tests, Flow Charts
Peer reviewed Peer reviewed
Schaefer, Edward; Marschall, Laurence A. – American Journal of Physics, 1980
Describes an easy-to-use set of computer programs for the generation of multiple-choice and essay examinations in an introductory astronomy course. Program enables the user to establish files of test questions and to rapidly assemble printed copies of examinations suitable for photocopying. (Author/GS)
Descriptors: Astronomy, College Science, Computer Assisted Testing, Computer Programs
Proctor, Andrew J. – Journal of Physical Education and Recreation, 1980
As computers become increasingly available to public schools, physical education teachers and coaches will have access to the many services and conveniences the computer offers. Physical education majors should be kept current with technology that affects their professional development. (CJ)
Descriptors: Computer Assisted Testing, Course Content, Higher Education, Measurement Equipment
Peer reviewed Peer reviewed
Roos, Linda L.; And Others – Educational and Psychological Measurement, 1996
This article describes Minnesota Computerized Adaptive Testing Language program code for using the MicroCAT 3.5 testing software to administer several types of self-adapted tests. Code is provided for: a basic self-adapted test; a self-adapted version of an adaptive mastery test; and a restricted self-adapted test. (Author/SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Mastery Tests, Programming
Peer reviewed Peer reviewed
Gallagher, Ann; Bennett, Randy Elliot; Cahalan, Cara; Rock, Donald A. – Educational Assessment, 2002
Evaluated whether variance due to computer-based presentation was associated with performance on a new constructed-response type, Mathematical Expression, that requires students to enter expressions. No statistical evidence of construct-irrelevant variance was detected for the 178 undergraduate and graduate students, but some examinees reported…
Descriptors: College Students, Computer Assisted Testing, Constructed Response, Educational Technology
Peer reviewed Peer reviewed
Stocking, Martha L. – Journal of Educational and Behavioral Statistics, 1996
An alternative method for scoring adaptive tests, based on number-correct scores, is explored and compared with a method that relies more directly on item response theory. Using the number-correct score with necessary adjustment for intentional differences in adaptive test difficulty is a statistically viable scoring method. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Item Response Theory
Peer reviewed Peer reviewed
Potenza, Maria T.; Stocking, Martha L. – Journal of Educational Measurement, 1997
Common strategies for dealing with flawed items in conventional testing, grounded in principles of fairness to examinees, are re-examined in the context of adaptive testing. The additional strategy of retesting from a pool cleansed of flawed items is found, through a Monte Carlo study, to bring about no practical improvement. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Monte Carlo Methods
Peer reviewed Peer reviewed
Levinson, Edward M.; Zeman, Heather L.; Ohler, Denise L. – Career Development Quarterly, 2002
Assesses the reliability and validity of the Web-based version of the Career Key. Participants completed the Web-based version of the Career Key and the Self-Directed Search-Form R and completed a second Career Key administration 2 weeks later. Test-retest reliability ranged between .75 and .84. With the exception of the conventional scale, all…
Descriptors: Career Counseling, Computer Assisted Testing, Concurrent Validity, Test Reliability
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Dodd, Barbara G.; And Others – Applied Psychological Measurement, 1989
General guidelines are developed to assist practitioners in devising operational computerized adaptive testing systems based on the graded response model. The effects of the following major variables were examined: item pool size; stepsize used along the trait continuum until maximum likelihood estimation could be calculated; and stopping rule…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Item Banks
Peer reviewed Peer reviewed
Fleishman, Edwin A. – Personnel Psychology, 1988
Reviews current research developments in several areas of personnel selection methodology which represent attempts to develop alternatives to traditional paper-and-pencil methods of test development. Areas examined include computer-interactive tests in employment situation, new uses for life history information, physical tests for physically…
Descriptors: Computer Assisted Testing, Evaluation Criteria, Evaluation Methods, Personnel Selection
Peer reviewed Peer reviewed
Gajar, Anna H. – Journal of Learning Disabilities, 1989
A computer analysis of the compositions written by university students with (N=30) and without (N-60) learning disabilities (LD) found LD students were not as fluent in word production and in the number of different words used but did produce longer sentences and T-units than nondisabled peers. (DB)
Descriptors: College Students, Computer Assisted Testing, Higher Education, Learning Disabilities
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