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Beach, Pamela; McConnel, Jen – International Journal of Research & Method in Education, 2019
Eye tracking methodology offers insights into human attention, decision-making processes, and user behaviours. In the context of teacher learning, data generated from eye-tracking technology has the potential to provide important information about teachers' behavioural patterns and cognitive processes that may or may not be occurring during…
Descriptors: Eye Movements, Faculty Development, Learning Processes, Information Processing
Brown, Timothy T. – Journal of Management Education, 2016
In this issue, Cavanaugh, Giapponi, and Golden (2016) have discussed the new prominent role of digital devices in the lives of students; the possible impact of these widely-used technologies on developing, learning minds; and the relevance of new cognitive neuroscience research and technologies for better understanding the potential effects of…
Descriptors: Cognitive Development, Teaching Methods, Learning Processes, Learning Strategies
Eagleton, Saramarie; Muller, Anton – Advances in Physiology Education, 2011
In this report, a model was developed for whole brain learning based on Curry's onion model. Curry described the effect of personality traits as the inner layer of learning, information-processing styles as the middle layer of learning, and environmental and instructional preferences as the outer layer of learning. The model that was developed…
Descriptors: Personality Traits, Cognitive Style, Learning Strategies, Personality

Williams, Vicki S. – College & University Media Review, 1998
Investigates the supportive side of current technology in the visual process of learning and the issues instructional designers must address to utilize these capabilities and maximize their effects. Provides an overview of visual memory and discusses information processing and analogic reasoning, cognition and visual information processing, visual…
Descriptors: Cognitive Processes, Design Preferences, Information Processing, Information Technology
Dunn, Rita; Honigsfeld, Andrea; Martel, Laurence D. – 2001
During the year 2000, 1,737 students were randomly selected to represent 231,000 students participating in 1,350 JROTC programs in three regions of the United States. The intention of this study was to identify whether a dominant learning style preference would be revealed for this student population as compared to the learning style of the…
Descriptors: Cognitive Style, Comparative Analysis, High School Students, Information Processing
Schmid, Richard F.; Gerlach, Vernon S. – Educational Communication and Technology, 1986
Describes algorithms and shows how they can be applied to the design of instructional systems by relating them to a standard information processing model. Two studies are briefly described which tested serial and parallel processing in learning and offered guidelines for designers. Future research needs are also discussed. (LRW)
Descriptors: Algorithms, Branching, Cognitive Psychology, Futures (of Society)

Winn, William – Journal of Research in Science Teaching, 1988
Reports on students' study and drawing of five electronic circuit diagrams. Concludes that the success of the students depended upon the amount of detail in the instructional diagrams. (RT)
Descriptors: Cognitive Processes, Cognitive Style, Educational Research, Holistic Approach
Caudill, Gil – Technology Connection, 1998
Outlines three basic learning modalities--auditory, visual, and tactile--and notes that technology can help incorporate multiple modalities within each lesson, to meet the needs of most students. Discusses the importance in multiple modality teaching of effectively assessing students. Presents visual, auditory and tactile activity suggestions.…
Descriptors: Auditory Stimuli, Cognitive Development, Cognitive Processes, Computer Assisted Instruction

Berger, Carl F.; Pintrich, Paul R. – Journal of Research in Science Teaching, 1986
Uses two studies to examine developmental and task effects in estimation problems. Results are discussed in terms of student and task characteristics and the implications of such variables on information processing model of learning. Implications for science teaching, learning problem diagnostics, and science curricula are also discussed. (TW)
Descriptors: Elementary Education, Elementary School Science, Estimation (Mathematics), Feedback