Onerous 发表于 2025-3-25 06:41:14
M. E. Peterhe next generation of learning analytics—is based on the concept that this technology should strongly support (a) various “smartness” levels of smart education such as adaptivity, sensing, inferring, anticipation, self-learning and self-organization, and (b) main types of data analytics of smart eduSynchronism 发表于 2025-3-25 10:29:22
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A. Pezzutto,J. Westermannal community. The methodology and technology for implementation of the “product-based” master program in the ASCREEN Interactive Center are presented in this paper using the example of the “Innovative Shipbuilding” master program of the Sevastopol State University.Presbyopia 发表于 2025-3-25 20:26:37
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S. V. Kaveri,M. D. Kazatchkine’s eyes and ears are on the student(s) wearing the HMDs. The early adoption of VR sometimes encountered challenges related to technical (e.g., firewalls) or ethical issues (e.g., privacy), but some argued that for innovation to happen, it was necessary to “act first and ask later”.BOOM 发表于 2025-3-26 19:20:32
P. K. Srivastava with the standards. The data is processed using natural language processing technologies and cluster analysis. The text data is normalized using Porter‘s stemmer, a TF-IDF weight matrix is created and cluster analysis is performed using the DBSCAN algorithm in order to determine the most necessary