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It is generally acknowledged that engagement plays a critical role in learning. Unfortunately, the study of engagement has been stymied by a lack of valid and efficient measures. We introduce the advanced, analytic, and automated (AAA) approach to measure engagement at fine-grained temporal resolutions. The AAA measurement approach is grounded in embodied theories of cognition and affect, which advocate a close coupling between thought and action. It uses machine-learned computational models to automatically infer mental states associated with engagement (e.g., interest, flow) from machine-readable behavioral and physiological signals (e.g., facial expressions, eye tracking, click-stream data) and from aspects of the environmental context. We present 15 case studies that illustrate the potential of the AAA approach for measuring ensgagement in digital learning environments. We discuss strengths and weaknesses of the AAA approach, concluding that it has significant promise to catalyze engagement research. 相似文献
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This article gives a flavour of the CHIME materials on data handling in Microsoft Excel. It demonstrates the facilities for data validation within Excel. 相似文献
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Although the principle of holography was conceived as long ago as 1947, interest was limited until the advent of the laser in 1960 made possible the off-axis holography widely used today. Since then holography has found many applications and become so well known outside the laboratory as to be a recognized art form. Within the last few years considerable progress has also been made in acoustic holography. 相似文献
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Sidney Strauss 《Infancia y Aprendizaje》2018,41(3):447-490
Teaching is one of nature’s remarkable inventions. Despite over two millennia of academic discussion about teaching, it remains in need of a broad scientific footing. The cognitive and developmental sciences, writ large, are candidates for such a footing. The purpose of this article is to go beyond teaching as knowledge transmission and present an expanded cognitive developmental account of teaching’s remarkable complexity. A minimalist and maximalist approach for describing teaching are presented, with a preference offered for the latter. It can serve as a map for backward engineering so as to get to the origins and developmental trajectories of the map of teaching’s components. An expanded mind-to-mind coupling version of the complexity of normative adult teaching is presented which includes stage-setting with emotion-, motivation- and mind-reading, organizing teaching sessions, scaffolding, detecting knowledge gaps and intervening by knowledge transmission strategies intended to reduce the gaps. In a backward engineering move, research is presented on infants’ abilities for some of what is presented for adults. Teaching is also prosocial, with heart-to-heart coupling. It is inextricably intertwined with teaching, and is another part of teaching’s complexity. Teaching’s prosociality is analysed via the economic concept of non-rivalry. It is shown that teaching is a form of helping behaviour but is not altruistic. Directions for further work in this maximalist approach to the scientific study of teaching are presented. 相似文献
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