KEEPING STUDENTS ENGAGED AND MOTIVATED THROUGH WORKGROUP AND NEURAL NETWORKS-BASED GROUPS MANAGEMENT DURING AND AFTER THE COVID ERA
Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
This paper proposes an Artificial Intelligence-based architecture for the selection and management of groupworks. The COVID era has taught us that future schooling systems will be based on both face to face lessons and remote ones. Groupwork can bring strong motivation to students and help them fight loneliness and discouragement, especially in case groups are handled with properly, in terms of membership and skills at disposal.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
COVID-19; e/m-learning; groupwork; neural networks; deep networks; groups management; blended learning.
Elenco autori:
DE CASTRO, Cristina
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