WP3
Work package n°3
Compendium of data-driven decision support in an Educational Context: from theory to practice
WP3 main general objective is to collect case studies and good practices aimed to provide an overview about prompt-based
system based on knowledge-driven Artificial Intelligence, also outlining opportunities and concerns of using data-driven
technologies as decision supporting tools in education, more specifically in the context of ELET (Early Leaving from Education and Training).
- Raise awareness about the importance of using digital technologies as tools to support decision-making in education
- Share and improve knowledge on data-driven technologies towards ELET
- Explore the opportunities and concerns of integrating digitization and AI-powered tools in educational environments
- Be aware of critical issues around its usage (e.g., privacy, stereotypes, biases, ethics, etc.)
- Explore governance initiatives, as main data sources for data-drive approaches
Work package n°3.1
Collection of case studies and good practices about the potentials/benefits of using/integrating data-driven technologies for decision support in educational settings.
Work package n°3.2
Data Driven decision support in Education
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