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Peer reviewedOnoda, Lawrence – Journal of Educational Psychology, 1976
Investigates the differences in attitudes toward academic achievement and personality characteristics of third generation Japanese Americans (Sanseis). Sanseis were grouped by sex and high and low achievers and were administered the Adjective Check List and the Asian American Survey. Results show that Sanseis are relatively heterogeneous with…
Descriptors: Academic Achievement, Attitude Measures, High Achievement, High School Students
Peer reviewedPortes, Alejandro; Wilson, Kenneth L. – American Sociological Review, 1976
Analyzes racial differences in status attainment by examining the extent to which initial attainment differences are accounted for by theoretically related variables and the extent to which the entire attainment process differs between uses, using data from a recent longitudinal sample of the U.S. high school population. (Author/JM)
Descriptors: Academic Achievement, Academic Aspiration, Educational Attainment, High School Students
Peer reviewedGoodman, Joan F. – Journal of School Psychology, 1977
Poor academic performance can result from single, multiple, interacting, and unknown causes, rather than being an entity with a specific cause and course. It is better to adopt a descriptive approach and define retardation as relative failure on a cluster of socially determined behaviors, varying over cultures and over time. (Author)
Descriptors: Behavior Change, Classification, Disability Discrimination, Educational Diagnosis
Peer reviewedRichmond, Bert O.; Long, Marvin – Journal of School Psychology, 1977
The data suggest that the WISC-R Verbal, Performance, and Full scales are almost equally lacking in racial bias and that all three scales are less biased than the PPVT. If the PPVT is used for initial screening, it will be important to follow up with a more thorough psychological evaluation. (Author)
Descriptors: Bias, Comparative Analysis, Culture Fair Tests, Elementary School Students
Peer reviewedHarrison, Patti L. – Journal of Special Education, 1987
Part of a special issue on adaptive behavior, the article reviews adaptive behavior research in areas which include the relationship between adaptive behavior and intelligence and school achievement, relationship between different measures of adaptive behavior, predictive aspects, declassification, group differences in adaptive behavior,…
Descriptors: Academic Achievement, Adaptive Behavior (of Disabled), Behavior Rating Scales, Comparative Analysis
Peer reviewedBump, Jerome – Computers and Education, 1987
Reviews the use of computers in the teaching and practice of writing in university courses. Highlights include hardware considerations; software options for grammar, punctuation, stylistic analysis, and prewriting (or invention) skills; artificial intelligence, composition, and literature; collaborative learning; and faculty development. (LRW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Faculty Development
Peer reviewedPoteat, G. Michael; And Others – Journal of School Psychology, 1988
Examined the relationship between Intelligence Quotient (IQ) of the Wechsler Intelligence Scale for Children-Revised (WISC-R) score, Callifornia Achievement scores, and grade point averages for Black and White elementary and middle school students (N=168). Found little evidence of differential prediction. Results suggest that the WISC-R IQ is an…
Descriptors: Academic Achievement, Culture Fair Tests, Elementary School Students, Elementary Secondary Education
Peer reviewedChaiklin, Seth; Lewis, Matthew W. – Teachers College Record, 1988
The impact of ICAI systems on teacher role, classroom structure, educational goals and preservice teacher training are discussed. The artificial intelligence research community is urged to consider the societal impact of its work. (Author/JL)
Descriptors: Artificial Intelligence, Autoinstructional Aids, Classroom Techniques, Curriculum Design
Peer reviewedFeuerman, Ken; And Others – CALICO Journal, 1987
Discusses the theoretical basis, implementation, and pedagogical considerations of CALLE (Computer-Aided Language Learning Environment), a dialogue-based beginning Spanish language instruction system. CALLE uses Lexical Functional Grammar Theory to analyze errors in student input. Sample screen is shown. (Author/LMO)
Descriptors: Adult Learning, Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction
Peer reviewedJehle, Fred – CALICO Journal, 1987
SPANLAP (SPANish LAnguage Processing) is a computer program which attempts to engage students of Spanish in a free-form written dialog by allowing them to ask questions. The morphological and syntactic parsing process used in SPANLAP is explained. Sample dialog illustrates limitations of the current model. (Author/LMO)
Descriptors: Artificial Intelligence, College Students, Communicative Competence (Languages), Computer Assisted Instruction
Peer reviewedDeBuse, Raymond – Information Technology and Libraries, 1988
Reviews key developments in information technologies, and describes the possible convergence of these developments in the creation of a new publishing and communication medium. The impact of this technology on the organization and role of libraries is discussed. (4 references) (CLB)
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Electronic Publishing, Futures (of Society)
Peer reviewedPoortinga, Ype H.; Van Der Vijver, Fons J. R. – Journal of Cross-Cultural Psychology, 1987
Methodological tools such as analysis of variance designs can reflect bias. Difficulties in the interpretation of cross-cultural differences can be avoided only if the researcher considers all external variables which account for the variance. No variance should be left to be explained in terms of culture. (VM)
Descriptors: Analysis of Variance, Bias, Cross Cultural Studies, Cultural Differences
Peer reviewedBond, Gayle Goldstein – Journal of Speech and Hearing Disorders, 1987
The performance of 40 hearing and 40 hearing-impaired children, aged two-five years, was compared on a battery of nonverbal tasks and a nonverbal intelligence test. Age significantly affected the results, consistent with a developmental change. In cognitive development, the hearing-impaired children were comparable to same-age hearing children.…
Descriptors: Age Differences, Child Development, Cognitive Ability, Cognitive Development
Peer reviewedNorberg, Arthur L., Comp.; Aspray, William, Comp. – Journal of Computers in Mathematics and Science Teaching, 1988
Contains annotations for resources on the history of computing. Includes resources for technical computing history, general computing history, precomputer era, the impact of computing and series. (CW)
Descriptors: Annotated Bibliographies, Artificial Intelligence, Computer Science, Computer Science Education
Peer reviewedPhillips, Martin – System, 1987
Describes three models of CALL (computer assisted language learning) activity--games, the expert system, and the prosthetic approaches. A case is made for CALL development within a more instrumental view of the role of computers. (Author/CB)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software, Databases


