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- W4313444850 abstract "Abstract This chapter describes the insights derived by the design and development of the Multimodal Tutor, a system that uses artificial intelligence for providing digital feedback and to support psychomotor skills acquisition. In this chapter, we discuss the insights which we gained from eight studies: (1) an exploratory study combining physiological data and learning performance (Learning Pulse); (2) a literature survey on multimodal data for learning and a conceptual model (the Multimodal Learning Analytics Model); (3) an analysis of the technical challenges of Multimodal Learning Analytics (the Big Five Challenges); (4) a technological framework for using multimodal data for learning (the Multimodal Pipeline); (5) a data collection and storing system for multimodal data (the Learning Hub); (6) a data annotation tool for multimodal data (the Visual Inspection Tool); (7) a case study in Cardiopulmonary Resuscitation training (CPR Tutor) consisting of a feasibility study for detecting CPR mistakes; and (8) a real-time feedback study." @default.
- W4313444850 created "2023-01-06" @default.
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- W4313444850 date "2023-01-01" @default.
- W4313444850 modified "2023-09-30" @default.
- W4313444850 title "The Rise of Multimodal Tutors in Education" @default.
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- W4313444850 doi "https://doi.org/10.1007/978-981-19-2080-6_58" @default.
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