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Titlebook: Higher Education Learning Methodologies and Technologies Online; First International Daniel Burgos,Marta Cimitile,Christian M. Stracke Con

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Predicting Learning Outcomes in Distance Learning Universities: Perspectives from an Integrated Mode, it proposes the analysis of a set of perceptions related to course design. Through the proposed model, a student’s background, personal variables, perception of the physical learning environment and perception of the course design can be utilized as predictors of student performance. Future resear
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Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environmentsnalysis results. In this paper, we use an XAI tool, called ExpliClas, with the aim of facilitating data analysis in the context of the decision-making processes to be carried out by all the stakeholders involved in the educational process. The Open University Learning Analytics Dataset (OULAD) has b
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eLearning Course Design in Higher Education to Maximize Students’ Performancee findings suggest that the e-tivities could provide the basic knowledge to pass an exam, but not enough to provide a full comprehension of the subject matter. Further investigation will be done to confirm those findings.
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Sport and Exercise Sciences Degrees in Italy: Comparison Between Online and Traditional Teaching Modlogies, such as Nintendo, PS, Xbox and others, could be utilized for enlarge the education opportunities. For the law aspects have to consider the specific mode to validate the activity in the same manner to play currently with an appropriate modification of rules.
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Higher Education Learning Methodologies and Technologies OnlineFirst International
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978-3-030-31283-1Springer Nature Switzerland AG 2019
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