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Titlebook: Higher Education Learning Methodologies and Technologies Online; 4th International Co Giovanni Fulantelli,Daniel Burgos,Davide Taibi Confer

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Mária Slavíčková,Michaela Vargováve understanding of the underlying architecture and the principle function of cache is a necessary prerequisite..A detailed analysis investigates vulnerabilities in the architecture before these are then exploited by the use of targeted memory arithmetic. A series of measurements performed by a simu
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Lucia Maniscalco,Martina Albanesehe IP Core under test, which has been implemented within a benchmark design. The results are analyzed and classified, highlighting the criticality of the AXI Interconnect IP Core as a point of failure, especially for SEU-hardened hardware accelerator relying on mitigation techniques based on fine-gr
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Machine-Learning-Based Software to Group Heterogeneous Students for Online Peer Assessment Activitietively affecting their engagement and motivation. This work proposes a new Machine Learning Approach and the realization of a specific software, able to create effective heterogeneous groups to be involved in the online peer assessment process, in order to improve learning outcomes and satisfaction
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Analysis of MOOC Features in a Regional Platform: Design and Delivery of Courses and delivery features. We used multiple correspondence analysis (MCA) with descriptive statistics to answer the research questions. MCA is a method for data reduction for qualitative variables in which the categories assumed by the variables play a central role in defining a smaller number of dimen
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Social Learning for Professional Development. A In-House Experimentation in Initial Teachers TraininMixed Methods Case Study Design, investigated peer tutors’ internal perspective, focusing on crucial fields that are often missed by higher education curricula, as they cannot be explicitly taught, even if they represent the necessary condition to train professional teachers able to manage future ch
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