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Download full textBen Erwin; Shayna Levitan – Education Commission of the States, 2024
Summative assessments measure students' mastery of grade-level academic standards and skills in specific content areas after learning. State summative assessment systems provide students and families, school and district leaders, and state policymakers with valuable data to help understand student progress and school quality. This Policy Guide…
Descriptors: Summative Evaluation, Student Evaluation, Federal State Relationship, Public Policy
Peer reviewedKingsbury, G. Gage – Educational Measurement: Issues and Practice, 1990
Application of computer-assisted testing (CAT) to measurement in the Portland (Oregon) Public Schools is described. Focus is on MicroCAT's developmental subsystem, which allows creation of items and test design specifications. Changes in CAT procedures allowing MicroCAT to function in existing testing systems and uses/limitations of MicroCAT…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software Evaluation, Elementary Secondary Education
PDF pending restorationMcArthur, David L. – 1985
This paper presents an explanation of the program design of the three separate Pascal-language programs which comprise UCLA's Diagnostic Testing Package "DX." The three parts of the DX test package are three closely interrelated programs--Editest, Runtest, and Summary. Editest serves the following functions: (1) the creation of a…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software, Diagnostic Tests
Reckase, Mark D. – 1986
The current technology of computerized testing is discussed, and a few comments are made on how such technology might be used for assessing school-related skills as part of the National Assessment of Educational progress (NAEP). The critical feature of computerized assessment procedures is that the test items are presented in interactive fashion,…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Testing, Disabilities
Bock, R. Darrell; Zimowski, Michele F. – 2003
This paper discusses the rationale for enhancing the current National Assessment of Educational Progress (NAEP) design by adding a capacity for adaptive testing. Items are tailored to the achievement level of the student in adaptive testing. The report describes a 1993 Ohio field trail of two-stage assessment carried out by the National Opinion…
Descriptors: Adaptive Testing, Computer Assisted Testing, Elementary Secondary Education, Field Tests
Peer reviewedPlake, Barbara S. – Educational Measurement: Issues and Practice, 1993
The development of a hypothetical testing program designed to provide optimum information about student achievement is chronicled. Computer adaptive testing and performance testing are postulated as part of the program. What optimum information really means is discussed. Optimum is only optimal when theory and application are balanced. (SLD)
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Computer Assisted Testing
California Univ., Los Angeles. Center for the Study of Evaluation. – 1985
A teacher's manual for operating the DX System, a software package for use in diagnostic testing programs, is presented. The DX System is constructed to present test items based on the individual student's pattern of responses. Described are: (1) system components designed to run on an Apple II computer; (2) program options allowing the user to…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Managed Instruction, Computer Software
Peer reviewedHaney, Walt – Educational Leadership, 1985
Following a critique of so-called educational testing, this article examines three "educationally noteworthy school testing programs"--those of Portland, Oregon; Orange County, Florida; and Pittsburgh, Pennsylvania; and one noteworthy school with no standardized testing: the Prospect School in Bennington, Vermont. Derives some broad…
Descriptors: Adaptive Testing, Alternative Assessment, Computer Assisted Testing, Demonstration Programs
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level
Ysseldyke, James E., Ed.; Thurlow, Martha L., Ed. – 1993
This monograph provides an overview of the issues surrounding inclusion and testing accommodations for students with disabilities and presents six papers discussing the issues. "Including Students with Disabilities in Systemic Efforts To Measure Outcomes: Why Ask Why?" (Bob Algozzine) argues that excluding any student from testing…
Descriptors: Adaptive Testing, Deafness, Disabilities, Educational Assessment
Arter, Judith A.; Estes, Gary D. – 1985
This handbook is intended for persons who might develop or use an item bank to support their testing program. An item bank is defined as a "large collection of distinguishable test items," with "large" explained as meaning that the number of items available is greater than the number to be used in any one test. The first section of the handbook…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Software, Curriculum
Estes, Gary D., Ed. – 1985
This report and compilation of papers summarizes information collected by an Assessment Development and Use Project, initiated by the Northwest Regional Educational Laboratory (NWREL) to assist test development efforts by state and local agencies. Specific item banking applications are reported in two case studies, selected because they represent…
Descriptors: Adaptive Testing, Case Studies, Computer Assisted Testing, Costs
Minnema, Jane; Thurlow, Martha; Bielinski, John – 2002
Two focus groups of test and measurement experts were held to explore the use of out-of-level testing for students with disabilities. The participants (n=17) included state and federal level assessment personnel, test company employees, and university professors. A content analysis of the narrative results indicated that there was no clear…
Descriptors: Academic Standards, Adaptive Testing, Criterion Referenced Tests, Disabilities
