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Direct linkLee, Cynthia; Yeung, Alexander Seeshing; Ip, Tiffany – Computer Assisted Language Learning, 2016
Computer technology provides spaces and locales for language learning. However, learning style preference and demographic variables may affect the effectiveness of technology use for a desired goal. Adapting Reid's pioneering Perceptual Learning Style Preference Questionnaire (PLSPQ), this study investigated the relations of university students'…
Descriptors: Technology Uses in Education, Computer Uses in Education, Cognitive Style, Higher Education
Download full textJanowitz, Jeffrey M. – 1992
The Swassing-Barbe Modality Index (SBMI) uses visual, auditory, and tactile inputs, but only reconstructed output, to measure children's modality strengths. In this experiment, the SBMI's three input modalities were crossed with two output modalities (spoken and drawn) in addition to the reconstructed standard to result in nine treatment…
Descriptors: Academic Achievement, Achievement Tests, Age Differences, Aural Learning
Butzow, John W.; Schlenker, Richard M. – 1978
This study was designed to determine the relationship between the Lowenfeldian visual-haptic (perceptual) and the Piagetian concrete-formal (operational reasoning) continua. The study also investigated the relationship between age, sex, academic goal, academic preference, and a person's perceptual aptitude or intellectual reasoning abilities.…
Descriptors: Age Differences, Analysis of Covariance, Cerebral Dominance, Cognitive Processes
