Titlebook: Instructional Techniques to Facilitate Learning and Motivation of Serious Games; Pieter Wouters,Herre van Oostendorp Book 2017 Springer In

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Eric Sanchezns and desirable scenarios by staging robot behavior (Sect. .). The article concludes not to wipe out these seemingly mundane practices, but rather to use their marginalization as a starting point for a reflective methodology of technical support systems (Sect. .).

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Arthur C. Graesserand pedagogical approaches have, generally, been studied separately, with the exception of the “Framework connecting sustainable development pedagogical approaches to competences”, which is aimed at helping educators in creating and updating their courses to provide a more complete, holistic, and sy

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sues, social issues, and economic ones. The ranking of the competences shows that Critical thinking and analysis is the highest, followed by Inter-disciplinary work. The ranking of the pedagogical approaches resulted in Project- or Problem-based learning and Case studies were the highest, followed b

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Overview of Instructional Techniques to Facilitate Learning and Motivation of Serious Games,a value-added approach and shows which game features can improve learning and/or increase motivation. The interpretation of the results will yield nine proven effective or promising instructional techniques in terms of learning and/or motivation. This set of nine techniques—content integration, cont

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Fidelity and Multimodal Interactions,nvironments. Our work has shown that sound can directly affect visual fidelity perception and task performance within a virtual environment. These effects can be very individualized, whereby the influence of sound is dependent on various individual factors including musical listening preferences, su

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Reflections on Serious Games,conjunction with many other features. Additional challenges emerge when the games target deep learning of difficult material: (1) game features imposing extraneous cognitive load on working memory, (2) incompatibilities in the timing of feedback to optimize deep learning versus motivation, and (3) c

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