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Card, Jane – Teaching History, 2012
Jane Card has long been fascinated by the power of visual sources to stimulate pupil thought and discussion. In previous articles she has shared insights from her own expert practice, fusing deep subject knowledge with careful planning to generate highly skilful questioning. Here she presents another rich example of classroom practice, carefully…
Descriptors: Visual Aids, History Instruction, Visual Learning, Secondary School Students
Gresham, Peta – English in Australia, 2012
This paper reflects one cycle of an action research project that investigated how integrating activity, competition, and visual learning strategies through IWB/ Smart Response technology could engage a lower level Year 12 Advanced English class in NSW--a group of boys who felt disconnected from the course of study. After my initial reconnaissance…
Descriptors: Video Technology, Action Research, Achievement, Visual Learning

Leutner, Detlev; Plass, Jan L. – Computers in Human Behavior, 1998
Describes the development of the VV-BOS (Visualizer/Verbalizer Behavior Observation Scale), a computer-based instrument for direct observation of students' preferences for visual or verbal learning material. Results of a study with second-language learners indicated a high degree of reliability as an alternative to conventional questionnaires.…
Descriptors: Cognitive Style, Computer Oriented Programs, Learning Strategies, Observation
Weihe, Paul – Journal of Natural Resources and Life Sciences Education, 2006
Despite the central role of risk assessment in analyzing and making decisions about many environmental issues, most people are poorly equipped to understand key concepts about risk or apply them successfully. I present three class activities in which students develop a better appreciation for the magnitude of a one in a million increased risk of…
Descriptors: Risk, Decision Making Skills, Environmental Education, Abstract Reasoning

Riding, Richard J.; Read, Geoffrey – Educational Psychology, 1996
Surveys 78 British secondary school students and correlates their responses regarding preferences in learning styles to information previously determined by the computer-presented Cognitive Styles Analysis. Examines the students' preferences for group, pair, or individual work, as well as, open and closed tasks. (MJP)
Descriptors: Aural Learning, Cognitive Processes, Cognitive Style, Computer Uses in Education