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Ruyle, Kim E. – Performance and Instruction, 1993
Discusses knowledge engineering, its relationship to artificial intelligence, and possible applications to developing expert systems, job aids, and technical training. The educational background of knowledge engineers is considered; the role of subject matter experts is described; and examples of flow charts, lists, and pictorial representations…
Descriptors: Artificial Intelligence, Educational Background, Flow Charts, Instructional Design
Peer reviewedFeingold, Alan – Review of Educational Research, 1992
Sex differences in variability of performance on cognitive tests were previously examined by calculating the ratios of males' variances to females' variances. Reasons why variance ratios were summarized by medians are discussed. (SLD)
Descriptors: Cognitive Tests, Females, Intelligence, Males
Peer reviewedWatson, Betty U. – Journal of Speech and Hearing Research, 1991
This study found correlations (.45 to .59) between scores on a battery of auditory discrimination tasks and measures of intelligence and academic aptitude in two samples of college students. An implication is that intelligence is a potential confounding variable in studies of the auditory perceptual abilities of various clinical populations.…
Descriptors: Auditory Perception, College Students, Disabilities, Discrimination Learning
Carlin, Michael T.; Soraci, Sal A., Jr. – American Journal on Mental Retardation, 1993
This study found that 10 adolescents with mental retardation processed stimuli varying with respect to symmetry in comparable manner to peers matched for mental age and chronological age. Results argue for the robustness of the symmetry effect across groups differing in intelligence and physically dissimilar stimulus types (checkerboard versus…
Descriptors: Cognitive Processes, High Schools, Intelligence Differences, Mental Retardation
Peer reviewedBlaha, John; Mandes, Evans – Journal of Clinical Psychology, 1993
Obtained Wherry hierarchical factor solution on Wechsler Adult Intelligence Scale-Revised subtests intercorrelations for 108 alcoholic adults. Found ability arrangement consistent with Vernon's structure-of-intellect model. Ability hierarchy consisted of strong general intelligence factor defined by all 11 subtests, which accounted for 49% of…
Descriptors: Adults, Alcoholism, Client Characteristics (Human Services), Factor Structure
Peer reviewedWachs, Theodore D. – Intelligence, 1993
Research on the determinants of intelligence and factors that relate to variability in intellect are discussed. It is argued that studies in this area usually focus on individual determinants and rarely reflect the true nature of the processes through which variability in determinants relates to variability in intellectual development. (SLD)
Descriptors: Educational Research, Intellectual Development, Intelligence, Interaction
Peer reviewedKranzler, John H.; And Others – Intelligence, 1993
J.H. Kranzler and A.R. Jensen report on a reanalysis of previous data that is again inconsistent with the hypothesis that psychometric "g" is unitary. J.B. Carroll reiterates objections to the evidence that Kranzler and Jensen offer in support of a composite "g." (SLD)
Descriptors: Cognitive Processes, Intellectual Development, Intelligence, Psychometrics
Peer reviewedSternberg, Robert J.; Kalmar, David A. – Intelligence, 1998
The mental processes underlying everyday predictive and postdictive judgments about objects undergoing change or no change were studied with 40 adults. Results supported a single information processing model for describing performance on both prediction and postdiction problems. The implications of the study of everyday inductive reasoning are…
Descriptors: Adults, Change, Cognitive Processes, Induction
Reich, Robert B.; Goleman, Daniel – Training and Development, 1999
Robert B. Reich, former U.S. Secretary of Labor, and Daniel Goleman, researcher and author, debate the pros and cons of trends revealed by American Society for Training and Development's 1999 State of the Industry Report. (Author/JOW)
Descriptors: Educational Trends, Emotional Intelligence, Employment Patterns, Labor Force Development
Peer reviewedCumming, Geoff – Journal of Computer Assisted Learning, 1998
Gives a brief outline of the development of Artificial Intelligence in Education (AIED) which includes psychology, education, cognitive science, computer science, and artificial intelligence. Highlights include learning environments; learner modeling; a situated approach to learning; and current examples of AIED research. (LRW)
Descriptors: Artificial Intelligence, Computer Science, Educational Environment, Educational Research
Peer reviewedWitherell, Nancy – Educational Horizons, 2000
Principles of teaching through the arts include the following: (1) outcomes should not change because teaching or assessment is nontraditional; (2) all possible arts and intelligences must be included; (3) teaching through the arts supports learning through the arts; (4) infusing the arts fosters understanding in "traditional" subjects;…
Descriptors: Art Education, Literacy, Multiple Intelligences, Outcomes of Education
Peer reviewedPrimrose, Alison F.; Fuller, Mary; Littledyke, Michael – Educational Research, 2000
Stability of verbal reasoning test scores was measured for 146 students aged 8-13. Results suggest that reasoning test scores are not constant and vary considerably over time. Scores are not finite measures of intellectual capacity but of current verbal functioning, reflecting education and experiences to that point. (SK)
Descriptors: Academic Achievement, Elementary Education, Intelligence Tests, Thinking Skills
Peer reviewedBirch, James R. – Educational Forum, 2000
Dance embodies all of the multiple intelligences and uses Sternberg's intellectual components (memory, analysis, creativity, practicality). Integrated into the curriculum, dance can expand literacy and make learning more interactive. (SK)
Descriptors: Dance, Elementary Secondary Education, Integrated Curriculum, Literacy Education
Peer reviewedSolomos, Konstantinos; Avouris, Nikolaos – Journal of Interactive Learning Research, 1999
Describes an open distributed multi-agent tutoring system (MATS) and discusses issues related to learning in such open environments. Topics include modeling a one student-many teachers approach in a computer-based learning context; distributed artificial intelligence; implementation issues; collaboration; and user interaction. (Author/LRW)
Descriptors: Artificial Intelligence, Educational Environment, Intelligent Tutoring Systems, Interaction
Peer reviewedAaron, P. G. – Review of Educational Research, 1997
Calls into question the validity and usefulness of classifying poor readers into learning disability and nonlearning disability categories on the basis of the discrepancy between their IQs and reading achievement scores. A review of the research indicates that the premises on which this classification rests are not valid. (SLD)
Descriptors: Classification, Intelligence Quotient, Learning Disabilities, Reading Achievement


