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Yanchar, Stephen C.; Spackman, Jonathan S. – Educational Technology, 2012
Clark (2011) recently reviewed literature on cognitive phenomena such as automaticity, non-conscious processing, and the "illusion of conscious will," concluding that most learning theories and instructional design models are informed by faulty assumptions regarding psychological functioning--namely, that most cognitive activity is conscious and…
Descriptors: Cognitive Processes, Educational Technology, Instructional Design, Psychology
Shaughnessy, Michael F.; Viner, Mark – Educational Technology, 2015
In this regular feature of "Educational Technology," Michael F. Shaughnessy and Mark Viner present their interview with Curt Bonk, Professor of Instructional Systems Technology at Indiana University and President of CourseShare; and Elaine Khoo, Research Fellow at the Wilf Malcolm Institute of Education, University of Waikato, Hamilton,…
Descriptors: Interviews, Change Agents, Educational Technology, Instructional Leadership
Yanchar, Stephen C.; Faulconer, James E. – Educational Technology, 2011
This article presents the concept of facilitative theorizing as an alternative to prescriptive and descriptive theory in educational technology. The authors contend that these traditional forms of theory do not offer sufficient assistance to practitioners as they go about everyday design work. Facilitative theorizing, as an alternative, is…
Descriptors: Educational Technology, Educational Theories, Learning Theories, Theory Practice Relationship
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
Hoban, Charles F. – Educational Technology, 2010
Appointment of a national Commission on Instructional Technology under the Public Broadcasting Act points up the need for broad participation in defining agreeable boundaries of the field of instructional technology. The assignment is complicated by a posture of pessimism in a new power structure of instructional technology, or "learning systems,"…
Descriptors: Educational Improvement, Instructional Innovation, Innovation, Educational Technology
Lahiri, Minakshi; Moseley, James L. – Educational Technology, 2012
One of the key trends currently affecting the practices of teaching, learning, and creative inquiry, as mentioned in "The 2011 Horizon Report," is that learners prefer flexibility and mobility. Mobile learning is gaining popularity as an emerging trend facilitating the process of teaching and learning in the 21st Century. Research indicates…
Descriptors: Learner Engagement, Electronic Learning, Instructional Design, Time Management
Willis, Jerry – Educational Technology, 2011
This article is the second in a series (see Willis, 2011) that looks at the current status of instructional design scholarship and theory. In this concluding article, the focus is on two cultures of ID work, one based on constructivist and interpretivist theory and the other based on critical theory and critical pedagogy. There are distinct…
Descriptors: Constructivism (Learning), Critical Theory, Cognitive Psychology, Scholarship
Clark, Richard E. – Educational Technology, 2011
There are at least three powerful insights for educational technology researchers and designers from recent neuroscience studies of the brain and from cognitive science research findings: First, our brains learn and process two very different types of knowledge; non-conscious, automated, procedural, or implicit knowledge, and conscious,…
Descriptors: Evidence, Learning Theories, Instructional Design, Problem Solving
King, Kathleen P. – Educational Technology, 2011
In a world dominated by change and transformation, this article explores instructional technology connections to and applications of transformative learning. The author provides an overview of the theory of transformative learning, which embraces the hallmarks of 21st century learning. Rather than focusing solely on how to use technology,…
Descriptors: Transformative Learning, Educational Technology, Teaching Methods, Learning Processes
Hammer, Jessica; Black, John – Educational Technology, 2009
What makes games effective for learning? The authors argue that games provide vicarious experiences for players, which then amplify the effects of future, formal learning. However, not every game succeeds in doing so! Understanding why some games succeed and others fail at this task means investigating both a given game's design and the…
Descriptors: Educational Games, Teaching Methods, Experiential Learning, Play
Silber, Kenneth H. – Educational Technology, 2007
The author argues that Instructional Design (ID) is a problem-solving process, not a procedure, made up of a thinking process common to designers in many fields, and a set of well-accepted, underlying ID principles. This article presents a model of those principles. Further, it argues that teaching ID as a well-structured procedure is not helpful…
Descriptors: Instructional Design, Models, Problem Solving, Educational Technology
Gropper, George L. – Educational Technology, 1976
A theory of instruction can be said to have succeeded when the applied technology it has generated can be used with consistency and is comprehensive and relevant to the range of types of learning and of types of learners with which education must deal. It is only when revision is required simply because the value or levels of appropriately…
Descriptors: Educational Technology, Instructional Design, Learning, Learning Experience
Lysaught, Jerome P. – Educational Technology, 1971
Descriptors: Behavior Change, Educational Technology, Learning Theories, Reinforcement
Gagne, Robert M. – Educational Technology, 1980
Discusses whether educational technology has kept pace with recent developments in the related fields of psychology and communication science. Addressed are several areas in cognitive psychology: the process of selective perception, semantic encoding, the effects of previous learning, and the influence of metacognitlon. (RAO)
Descriptors: Cognitive Development, Educational Technology, Learning Theories, Perception
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