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Marcela Pessoa; Marcia Lima; Fernanda Pires; Gabriel Haydar; Rafaela Melo; Luiz Rodrigues; David Oliveira; Elaine Oliveira; Leandro Galvao; Bruno Gadelha; Seiji Isotani; Isabela Gasparini; Tayana Conte – IEEE Transactions on Learning Technologies, 2024
Game designers and researchers have sought to create gameful environments that consider user preferences to increase engagement and motivation. In this sense, it is essential to identify the most suitable game elements for users' profiles. Designers and researchers must choose strategies to classify users into predefined profiles and select the…
Descriptors: Educational Environment, Game Based Learning, Classification, Learner Engagement
Ceulemans, Eva; Van Mechelen, Iven – Psychometrika, 2008
In psychological research, one often aims at explaining individual differences in S-R profiles, that is, individual differences in the responses (R) with which people react to specific stimuli (S). To this end, researchers often postulate an underlying sequential process, which boils down to the specification of a set of mediating variables (M)…
Descriptors: Stimuli, Psychological Studies, Simulation, Individual Differences
Richards, Stephen; Sternberg, Les – Education and Training in Mental Retardation, 1993
An investigation was conducted of the displayed biobehavioral states of 5 students (ages 8-20) with profound mental retardation. Results indicated that state level can be reliably specified and that overall state characteristics can be used to classify subjects according to profile groups. (Author/JDD)
Descriptors: Behavior Patterns, Children, Classification, Profiles
Peer reviewedKorhonen, Tapio T. – Journal of Learning Disabilities, 1991
A sample of 74 Finnish children with mild learning disabilities and 57 controls were grouped into 5 subgroups (normal, general language, visuo-motor, general deficiency, naming) and followed from the third to the sixth grade. Results indicated that neuropsychological profiles were generally maintained, with changes related to progress in reading.…
Descriptors: Classification, Elementary Education, Followup Studies, Foreign Countries
Peer reviewedGlutting, Joseph J.; And Others – Journal of Special Education, 1992
Three studies examined subtest profiles of the Kaufman Assessment Battery for Children: the first developed a normative taxonomy of subtest patterns using cluster analysis; the second compared subtest patterns of children with various disabilities; and the third used core patterns to identify children with unusual patterns. Results opposed the…
Descriptors: Classification, Clinical Diagnosis, Cluster Analysis, Cognitive Tests
Peer reviewedSiegel, Bryna; And Others – Journal of Autism and Developmental Disorders, 1986
A method for empirical classification of autistic and autisticlike children, based on behavior observations of 35 males and 11 females (ages 4-28 years) was examined. Factor and cluster analysis indicated four subtypes, characterized by perseverative thinking and play, motor disturbances, schizotypal/schizoid features, and anxiety and negativism.…
Descriptors: Adults, Anxiety, Autism, Behavior Rating Scales
Peer reviewedMoses, Nelson; Shapiro, David A. – Journal of Communication Disorders, 1996
A taxonomy for assessing development of speech-language clinicians based upon cognitive learning theory was applied in the analysis of videotaped clinical sessions involving three student clinicians. Developmental profiles in three areas of clinical problem solving (perspective taking, variables considered, and solutions generated) were derived.…
Descriptors: Classification, Clinical Experience, Cognitive Processes, Developmental Stages

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