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Titlebook: Advances in Tourism, Technology and Systems; Selected Papers from António Abreu,Jo?o Vidal Carvalho,Iván Suazo Galda Conference proceedings

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31#
發(fā)表于 2025-3-26 23:40:47 | 只看該作者
Topics Related to Managing a Review,located in northern Portugal. The data collected and analyzed highlight traits that are traditionally recognized as structuring the identity profile of social educators while suggesting the need to consolidate and rethink the initial training paradigm, with a focus on the development of complex thinking skills and practical wisdom.
32#
發(fā)表于 2025-3-27 02:35:37 | 只看該作者
33#
發(fā)表于 2025-3-27 07:09:46 | 只看該作者
Defining Suitable Review Questions,e EEG recordings and subsequent analysis, relying on the union of neuroscience and artificial intelligence. The study here shows that the proposed deep learning architecture can identify the state of relaxation and stress and identifies which of the olfactory stimuli causes the most intense relaxation.
34#
發(fā)表于 2025-3-27 13:03:05 | 只看該作者
35#
發(fā)表于 2025-3-27 14:36:06 | 只看該作者
Challenges of Initial Training in Times of Pandemic: Social Education Internship Experience,located in northern Portugal. The data collected and analyzed highlight traits that are traditionally recognized as structuring the identity profile of social educators while suggesting the need to consolidate and rethink the initial training paradigm, with a focus on the development of complex thinking skills and practical wisdom.
36#
發(fā)表于 2025-3-27 17:46:20 | 只看該作者
Intervision of School Practice in Educational Context: Validation of a Focused Observation Grid,he disciplinary group of Informatics were validated. The results obtained enhanced the indicator—It promotes a stimulating and motivating environment for learning. Motivation in the context of intervision is presented as a privileged domain in the development of reference practices for the improvement of teaching professionalism.
37#
發(fā)表于 2025-3-27 22:13:36 | 只看該作者
A Neural Model with a Deep Learning Structure for Characterizing Relaxation Levels Through Olfactore EEG recordings and subsequent analysis, relying on the union of neuroscience and artificial intelligence. The study here shows that the proposed deep learning architecture can identify the state of relaxation and stress and identifies which of the olfactory stimuli causes the most intense relaxation.
38#
發(fā)表于 2025-3-28 05:26:58 | 只看該作者
39#
發(fā)表于 2025-3-28 08:58:32 | 只看該作者
40#
發(fā)表于 2025-3-28 11:17:15 | 只看該作者
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