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Hevern, Vincent W.; Geisinger, Kurt F. – 1983
Report-card marking items by which elementary school students' noncognitive classroom behaviors are graded were studied to establish a preliminary classification of behavioral assessment domains. Two studies were conducted. The first study employed a cluster-analytic approach to a pool of 136 noncognitive behavior-marking items that had been…
Descriptors: Classification, Elementary School Teachers, Elementary Secondary Education, Grading
Peer reviewed Peer reviewed
Stromer, Robert; And Others – Journal of Applied Behavior Analysis, 1996
This review of research discusses how children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A proposed methodology for researching referent naming and class formation, analysis of stimulus classes, and generalization is offered. (CR)
Descriptors: Autism, Behavioral Science Research, Classification, Cognitive Processes
Aquino, Felix J. – 1990
A model is presented for creating a community college student typology for the purpose of defining successful and unsuccessful student outcomes for each typology segment. The need for such a typology is addressed, as well as a description given of the computer techniques used to gather the baseline data upon which the typology is based, and the…
Descriptors: Academic Achievement, Classification, Community Colleges, Dropout Research
Peer reviewed Peer reviewed
Semmel, Melvyn I.; Gao, Xiaohong – Journal of Special Education, 1992
This study found that 27 Chinese teachers' perceptions of 196 elementary students nominated as learning disabled or educable mentally retarded (based on identifying characteristics used in the United States) were significantly less favorable than ratings of students nominated as average or gifted. Discriminant analysis yielded 72.19 percent…
Descriptors: Attitudes toward Disabilities, Behavior Problems, Behavior Rating Scales, Classification
ERIC Clearinghouse on Handicapped and Gifted Children, Reston, VA. – 1987
Summarized are two reports of a federally funded project on the use of artificial intelligence in special education. The first report, "Artificial Intelligence Applications in Special Education: How Feasible?," by Alan Hofmeister and Joseph Ferrara, provides information on the development and evaluation of a series of prototype systems…
Descriptors: Artificial Intelligence, Behavior Problems, Classification, Computer Assisted Instruction