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Stahl, Robert J. – 1978
The Domain of Cognition is a taxonomy for planning, sequencing, and implementing instruction, which covers the entire range of cognitive and cognitive-affective learning and behavior. Students acquire, learn, and use information on eight hierarchically and sequentially arranged levels of complexity. The levels and their corresponding abilities…
Descriptors: Abstract Reasoning, Classification, Cognitive Ability, Cognitive Development
Lashbrook, Velma J. – 1976
This paper attempts to draw applications from major learning taxonomies and theories Bloom's taxonomy of educational objectives and Gagne's types of learning are considered in terms of their implications as diagnostic and evaluation criteria. Additionally, an attempt is made to operationalize these criteria behaviorally. Instructional strategies…
Descriptors: Classification, Cognitive Processes, Communication (Thought Transfer), Educational Objectives
Peer reviewedGrennon, Jacqueline – Educational Leadership, 1984
Describes a classroom project for middle school students where developmental theory was translated into instruction promoting cognitive development. (MD)
Descriptors: Classification, Cognitive Development, Cognitive Processes, Developmental Stages
Luan, Jing – 2003
This study aims to address learning outcomes from the perspective of learners. The research questions asked were: (1) What learner concentric ideas can be used to indicate the outcomes of learning? (2) How would the new learning outcome index be used to generate typologies? (3) What are the inner relationships of the typologies? and (4) How can…
Descriptors: Classification, Cognitive Processes, Community Colleges, Learning
Peer reviewedJames, Helen J.; Nelson, Samuel L. – Journal of Chemical Education, 1981
A learning cycle involves the active participation of students in exploration, invention, and application phases. Describes one such learning cycle dealing with classification of matter and designed to provide students with an understanding of the terms: atom, molecule, element, compound, solution, and heterogeneous matter. (Author/JN)
Descriptors: Chemistry, Classification, College Science, General Science
Peer reviewedNakayama, Susan Y.; Kee, Daniel W. – Journal of Educational Psychology, 1980
Proactive interference (PI) build-up and release from PI were used to study automatic conceptual encoding of superordinate and subordinate category lists in low-socioeconomic status (SES) Black children and middle-SES White children (grades 2 and 4). (Results for each population on the three category lists are described). (GDC)
Descriptors: Age Differences, Black Students, Classification, Elementary Education
Peer reviewedLawton, Joseph T.; Wanska, Susan K. – American Educational Research Journal, 1979
The effects of three types of advance organizer lessons (containing high-order social studies concepts, high-order rules for hierarchical classification, or both) on learning social studies concepts and hierarchical classification, as defined by Piaget, were evaluated for 237 rural children in kindergarten, third, and fifth grades. (Author/MH)
Descriptors: Advance Organizers, Classification, Concept Teaching, Elementary Education
Peer reviewedKloss, Robert J. – College Teaching, 1994
This article discusses William G. Perry's model of intellectual development, which posits that college students move through four phases of understanding their relationship to knowledge: dualism (knowledge as received truth), multiplicity (knowledge as opinion), relativism (knowledge as relativistic), and commitment in relativism. Specific…
Descriptors: Classification, Classroom Techniques, Cognitive Style, College Instruction
Jones, Mark K.; And Others – Educational Technology, 1990
Presents a knowledge representation model that was designed for instructional decision making. Topics discussed include classification models for instructional design; artificial intelligence; semantic networks; natural language; and data models, including network and hierarchical models. An example is given of knowledge analysis for a secondary…
Descriptors: Artificial Intelligence, Classification, Cognitive Structures, Computer Assisted Design
Peer reviewedHargis, Jace; Houston, Carolyn – Science and Children, 2000
Explains a leaf project on the classification of plants for fifth through eighth grade students. Integrates technology into the unit and studies the subject as an electronic file. Recommends incorporation of metacognitive strategies into students' learning processes. (YDS)
Descriptors: Anatomy, Classification, Computer Uses in Education, Computers
Daniels, Harry – British Journal of Special Education, 2006
This article is based on the text of the Gulliford Lecture given by Professor Harry Daniels at the University of Birmingham in October 2005. Professor Daniels takes, as his starting point, Ron Gulliford's assertion that teachers need to learn from their experience of trying to teach children who are "hard to teach". He goes on to look at…
Descriptors: Classification, Special Needs Students, Teaching Methods, Special Education Teachers
Seidel, Tina; Shavelson, Richard J. – Review of Educational Research, 2007
This meta-analysis summarizes teaching effectiveness studies of the past decade and investigates the role of theory and research design in disentangling results. Compared to past analyses based on the process-product model, a framework based on cognitive models of teaching and learning proved useful in analyzing studies and accounting for…
Descriptors: Research Design, Theory Practice Relationship, Research Methodology, Effect Size
Ormrod, Jeanne Ellis; Lewis, Mark A. – 1983
The legitimacy of using the criterion of low reading achievement in the study of learning and memory skills with learning disabled children was assessed, based on a comparison of 35 nondisabled students, 15 low readers, and 10 learning disabled high school students. Learning disabilities were defined as encompassing perceptual and/or processing…
Descriptors: Classification, Comparative Analysis, Definitions, Exceptional Child Research
Andre, Thomas – 1977
A model is proposed for memory that stresses a distinction between episodic memory for encoded personal experience and semantic memory for abstractors and generalizations. Basically, the model holds that questions influence the nature of memory representations formed during instruction, and that memory representation controls the way in which…
Descriptors: Advance Organizers, Classification, Cognitive Processes, Concept Formation
Passmore, David L. – 1974
The need for an empirically defensible means of sequencing instruction appears to have been the primary motivator for research into learning hierarchies. Four methods for generating candidates for learning hierarchies were reviewed: introspection, formal analysis, observation, and statistical "fishing." Experimental transfer of training…
Descriptors: Classification, Competency Based Education, Educational Objectives, Evaluation Methods

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