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Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
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Pitta-Pantazi, Demetra; Christou, Constantinos – Educational Studies in Mathematics, 2009
This paper reports the outcomes of an empirical study undertaken to investigate the effect of students' cognitive styles on achievement in measurement tasks in a dynamic geometry learning environment, and to explore the ability of dynamic geometry learning in accommodating different cognitive styles and enhancing students' learning. A total of 49…
Descriptors: Cognitive Style, Grade 6, Geometry, Educational Environment
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Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2010
It has been advocated that pedagogical content knowledge as well as subject matter knowledge are important for improving classroom instructions. To develop pedagogical content knowledge, it is argued that understanding of students' mental representations of concepts is deemed necessary. Yet assessing and comparing mental model of each individual…
Descriptors: Identification, Mathematics Instruction, Pedagogical Content Knowledge, Cognitive Style
Jonassen, David H. – 1986
The purpose of this study was to adapt the Hidden Figures Test (a measure of field dependence/independence) to microcomputer display and to assess its alternate form reliability when compared to a paper and pencil test. Participants included 58 undergraduate and graduate students (91.4% female) at a southeastern university who were fairly normal…
Descriptors: Analysis of Variance, Cognitive Measurement, Cognitive Processes, Cognitive Style