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Echeverria, Vanessa; Martinez-Maldonado, Roberto; Shum, Simon Buckingham; Chiluiza, Katherine; Granda, Roger; Conati, Christina – Journal of Learning Analytics, 2018
From a human-centred computing perspective, supporting the interpretation of educational dashboards and visualizations by the people intended to use them exposes critical design challenges that may often be trivialized. Empirical evidence already shows that "usable" visualizations are not necessarily effective from an educational…
Descriptors: Story Telling, Visual Learning, Data Analysis, Visual Aids
Meier, Antje; Hannula, Markku; Toivanen, Miika – LUMAT: International Journal on Math, Science and Technology Education, 2018
Based on Dewey's theory of art, aesthetics, and experiences and photographer Barnbaums' writing about expanded perception through photography, we conducted a one-day experimental mathematics education unit. Using photography in outdoor conditions had a positive impact on teacher students' perception of the use of photography for teaching…
Descriptors: Foreign Countries, Inservice Teacher Education, Mathematics Education, Outdoor Education
Cao, Jianxia; Nishihara, Akinori – Journal of Educational Multimedia and Hypermedia, 2012
More and more videos are now being used in e-learning context. For improving learning effect, to understand how students view the online video is important. In this research, we investigate how students deploy their attention when they learn through interactive slide video in the aim of better understanding observers' learning style. Felder and…
Descriptors: Video Technology, Electronic Learning, Technology Uses in Education, Interactive Video
Blair, Mark R.; Watson, Marcus R.; Walshe, R. Calen; Maj, Fillip – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
Humans have an extremely flexible ability to categorize regularities in their environment, in part because of attentional systems that allow them to focus on important perceptual information. In formal theories of categorization, attention is typically modeled with weights that selectively bias the processing of stimulus features. These theories…
Descriptors: Attention, Classification, Visual Perception, Experiments