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Titlebook: Learning Analytics: Fundaments, Applications, and Trends; A View of the Curren Alejandro Pe?a-Ayala Book 2017 Springer International Publis

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樓主: Autopsy
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發(fā)表于 2025-3-23 13:28:25 | 只看該作者
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發(fā)表于 2025-3-23 14:28:32 | 只看該作者
Danny Yen-Ting Liu,Kathryn Bartimote-Aufflick,Abelardo Pardo,Adam J. Bridgemann of EPs according to types of stimulation, modes of recording, methods of signal processing, types of poststimulus latencies, and purported neural generators. Current techniques will be described and experimental and clinical applications will be summarized.
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發(fā)表于 2025-3-23 18:52:40 | 只看該作者
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發(fā)表于 2025-3-24 01:35:54 | 只看該作者
Jean Simoncharacteristics on MRI of many of these tumors are quite distinct. Thus during the examination a probable diagnosis can be often suspected and the further choice of the sequences can be facilitated by these assumptions. Therefore it is useful to be able to anticipate a possible histological diagnosi
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發(fā)表于 2025-3-24 04:26:35 | 只看該作者
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發(fā)表于 2025-3-24 07:16:23 | 只看該作者
Learning Analytics: Fundaments, Applications, and TrendsA View of the Curren
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發(fā)表于 2025-3-24 14:26:42 | 只看該作者
Book 2017al overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work...?.
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發(fā)表于 2025-3-24 15:34:29 | 只看該作者
Teaching and Learning Analytics to Support Teacher Inquiry: A Systematic Literature Review, systematic literature review in the emerging research field of Teaching and Learning Analytics. The insights gained from the systematic literature review aim to (a) transparently outline the existing state-of-the-art following a structured analysis methodology, as well as (b) elicit insights and sh
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發(fā)表于 2025-3-24 21:23:28 | 只看該作者
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發(fā)表于 2025-3-25 03:04:18 | 只看該作者
Knowledge Discovery from the Programme for International Student Assessment,nt model; however, unlike in the previous literature, our model represents a profile of a national student population. We compare Finland to other countries by hierarchically clustering these student profiles from all the countries that participated in the latest assessment and validating the result
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