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Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
In response to the wide-scale proliferation of "the cone of learning"--a fanciful retention chart confounded with Dale's Cone of Experience--the authors make four major claims debunking this fantasy and provide documentary evidence to support these claims. The first claim is that the data in the mythical retention chart do not make…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
Critics have been attempting to debunk the mythical retention chart at least since 1971. The earliest critics, David Curl and Frank Dwyer, were addressing just the retention data. Beginning around 2002, a new generation of critics has taken on the illegitimate combination of the retention chart and Edgar Dale's Cone of Experience--the corrupted…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
The authors are attempting to set the record straight regarding the sources frequently cited in the literature of the mythical retention chart and the corrupted Dale's Cone. They point out citations that do not actually connect with relevant works; provide correct citations of sources that are often cited erroneously; add references for overlooked…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Tennyson, Robert D. – Educational Technology, 1992
Proposes a cognitive-based model for instructional design that addresses the acquisition and employment of knowledge, the interaction of content knowledge and cognitive strategies for higher order thinking skills, and the affective domain. Educational learning theory is discussed, including working memory, long-term memory, and cognitive skills.…
Descriptors: Affective Objectives, Cognitive Processes, Instructional Design, Learning Theories
Jay, Timothy B. – Educational Technology, 1983
Focuses on five human information processing abilities which cognitive psychologists anticipate must be accounted for in order to develop good computer courseware--memory and attention; language or text characteristics; graphics and visual processing; cognitive characteristics of user; feedback to users. A 31-item bibliography is included. (EJS)
Descriptors: Attention Span, Cognitive Processes, Cognitive Style, Computer Graphics
Jonassen, David H. – Educational Technology, 1979
Discusses cognitive style (the degree to which perception is influenced by environmental variables) and cognitive control (which focuses on the regulation of perception by the ego). Concepts addressed include field dependence-independence, field articulation, conceptual style, cognitive tempo, intrusive information, focal attention, and…
Descriptors: Cognitive Processes, Cognitive Style, Comprehension, Concept Formation
Taylor, James C. – Educational Technology, 1994
Describes the Novice-Expert (Novex) Analysis, a nine-step approach to instructional design aimed at effecting the shift from novice to expert by creating a series of learning activities to enable novices to construct an expert knowledge base. The "Dimensions of Processing Model" diagram illustrates how learning processes influence…
Descriptors: Cognitive Mapping, Cognitive Processes, Cognitive Psychology, Cognitive Structures