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Dixon, Matthew L.; Zelazo, Philip David; De Rosa, Eve – Developmental Science, 2010
Visual scenes contain many statistical regularities such as the likely identity and location of objects that are present; with experience, such regularities can be encoded and can ultimately facilitate the deployment of spatial attention to important locations. Memory-guided attention has been extensively examined in adults with the "contextual…
Descriptors: Computer Simulation, Context Effect, Models, Memory
Garrett, Nathan – Educational Technology & Society, 2011
This project attempts to improve electronic portfolio software through the creation of a design model using ownership, ease of use, and social learning variables to predict user adoption. The pilot software attempts to encourage student learning by enhancing peer interaction. The software was used by two groups of students. The first group used it…
Descriptors: Higher Education, Portfolio Assessment, Computer Software, Usability
Haberman, Jason; Whitney, David – Journal of Experimental Psychology: Human Perception and Performance, 2009
We frequently encounter groups of similar objects in our visual environment: a bed of flowers, a basket of oranges, a crowd of people. How does the visual system process such redundancy? Research shows that rather than code every element in a texture, the visual system favors a summary statistical representation of all the elements. The authors…
Descriptors: Nonverbal Communication, Visual Environment, Vision, Models
Gillner, Sabine; Weiss, Anja M.; Mallot, Hanspeter A. – Cognition, 2008
Despite that fact that landmarks play a prominent role in human navigation, experimental evidence on how landmarks are selected and defined by human navigators remains elusive. Indeed, the concept of a "landmark" is itself not entirely clear. In everyday language, the term landmark refers to salient, distinguishable, and usually nameable objects,…
Descriptors: Models, Physiology, Memory, Cybernetics

Corn, Anne L. – Journal of Visual Impairment and Blindness, 1983
A model is proposed that organizes factors related to visual function into three dimensions: visual abilities, available resources and past experiences, and environmental cues. The model is explained to be useful in determining how to elicit visual behaviors or maximize visual function in persons with low vision. (Author/CL)
Descriptors: Models, Partial Vision, Visual Environment, Visual Learning
Alexander, Bryan – Theory Into Practice, 2008
Students are, increasingly, digital content producers, and participate extensively in evolving online social networks. The emergence of the former represents subtle changes in students' experience of images, audience, copyright, ownership of learning, and technology. Experiencing the latter places students in an awkward position in terms of…
Descriptors: Intellectual Property, Educational Technology, Visual Environment, Social Networks