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Pelánek, Radek – Educational Technology Research and Development, 2020
Adaptive learning systems need large pools of examples for practice--thousands of items that need to be organized into hundreds of knowledge components within a domain model. Domain modeling and closely related student modeling are intensively studied in research studies. However, there is a gap between research studies and practical issues faced…
Descriptors: Educational Technology, Knowledge Management, Models, Multidimensional Scaling
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Aylward, Ronald C.; Cronjé, Johannes C. – Educational Technology Research and Development, 2022
The pedagogical paradigms of Direct instruction (behaviorism/objectivism) and Constructivism are often seen as opposing paradigms at the ends of an instructional design continuum. Unfortunately, this view makes the two approaches mutually exclusive. Designers must use the one at the expense of the other. A previous study proposed that the two…
Descriptors: Instructional Design, Behaviorism, Constructivism (Learning), Mastery Learning
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Eric Tsui; Nikolina Dragicevic; Irene Fan; Meina Cheng – Educational Technology Research and Development, 2024
The paper introduces an approach that facilitates whole-class curriculum co-creation and presents a case study conducted in a higher education institution in Hong Kong where it was implemented. The approach enables students to actively contribute to constructing a curriculum in partnership with teachers and practitioners, using scenario…
Descriptors: Technology Integration, Higher Education, Educational Environment, Foreign Countries
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Yeh, Yu-chu; Chu, Ling-Hui – Educational Technology Research and Development, 2018
Few studies have investigated whether harmonious passion (HP) and obsessive passion (OP) make a distinctive contribution to explaining individual differences in knowledge management through self-regulation in e-learning contexts. This study aimed to identify four types of passion (internal HP, external HP, internal OP, and external OP) in…
Descriptors: Electronic Learning, Knowledge Management, College Students, Likert Scales