Integrating Data Analysis and AI in Learning experiences

Erasmus+ Higher EducationCooperation partnerships in higher educationID: 2024-1-IT02-KA220-HED-000251425
EC Contribution
โ‚ฌ2,500
Consortium Size
7 orgs
Start Year
2024
โ–ถSummary

This project aims to introduce and integrate teaching methodologies in Data Analysis and conscious approaches for leveraging AI and AI tools across various higher education disciplines. The projec...

โ–ถObjectives

This project aims to introduce and integrate teaching methodologies in Data Analysis and conscious approaches for leveraging AI and AI tools across various higher education disciplines. The project is dedicated to disseminating knowledge and skills in these cutting-edge fields, making them accessible and applicable in a wide range of academic contexts, not just those traditionally associated with technology.

โ–ถActivities

The project will be implemented through a series of coordinated activities such as: - Development of a comprehensive curriculum and educational resources focusing on Data Analysis and AI. - Establishment of a competency framework for Data Analysis and AI. - Creation of a blended learning environment. - Conducting pilot programs in different European higher education institutions. - Developing a strategy for the broad implementation of this cross-sectoral education in Data Analysis and AI.

โ–ถImpact

This project is set to play a pivotal role in expanding the reach and impact of AI and Data Analysis education, aligning with the goals and priorities of the Erasmus+ program, and transforming the higher education landscape. The expected outcomes include: enhancing digital competencies among HE teachers across various disciplines, contributing to the digital transformation goals of the Erasmus+ program. Improving inclusivity in HE by making advanced technology education accessible to teachers.

Consortium (7)