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Maddux, Cleborne D. – Diagnostique, 1989
There are several points to be considered to prevent misuse when integrating microcomputing into the assessment process. Computerizing an activity does not automatically improve that activity. Computer use is appropriate for computing test scores and storing student data but not for interpreting data. (JDD)
Descriptors: Computer Assisted Testing, Computer Uses in Education, Data Analysis, Elementary Secondary Education
Johnson, D. Lamont; Harlow, Steven D. – Diagnostique, 1989
The computer can be incorporated into educational assessment at two levels: clerical work such as scoring, converting scores, administering test items, and organizing data into manageable profiles; and expanding horizons and deepening the understanding of what is important to measure and how best to measure it through expert systems and new…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Computer Uses in Education, Data Analysis
Swain, Kristine D.; Allinder, Rose M. – Diagnostique, 1996
Three second-grade students with learning disabilities were measured twice a week for 12 weeks on 2 types of curriculum-based measurement (computer maze and oral reading) and an intervention of repeated readings was implemented. Data indicated that the repeated reading intervention affected oral reading CBM, but not performance on the maze…
Descriptors: Computer Assisted Testing, Curriculum Based Assessment, Informal Reading Inventories, Intervention
Greenwood, Charles R.; And Others – Diagnostique, 1995
This paper discusses developments in special education classroom observational assessment. Conceptual advances include increased focus on assessment with practical value for teaching and benefits gained from merging classroom instructional factors with behavior. Methodological advances include development of ecobehavioral observation protocols and…
Descriptors: Behavior Patterns, Classroom Observation Techniques, Computer Assisted Testing, Computer Software