AI LITERACY
Steps to Improve AI Literacy in Higher Education
Universities worldwide are pressed to utilize AI to enhance teaching, learning, and collaboration. This page explores the synergy between the DigComp 2.2 framework and AI-based tools selected for their relevance in higher education.
The Five Competence Areas
Information and Data Literacy
- Browsing, searching and filtering data
- Evaluating data, information and digital content
- Managing data, information and digital content
Communication and Collaboration
- Interacting through digital technologies
- Sharing through digital technologies
- Engaging citizenship through digital technologies
- Collaborating through digital technologies
- Netiquette
- Managing digital identity
Digital Content Creation
- Developing digital content
- Integrating and re-elaborating digital content
- Copyright and licenses
- Programming
Safety
- Protecting devices
- Protecting personal data and privacy
- Protecting health and well-being
- Protecting the environment
Problem Solving
- Solving technical problems
- Identifying needs and technological responses
- Creatively using digital technology
- Identifying digital competence gaps
AI Literacy in Higher Education Context
In modern higher education, a balanced approach to digital competence is crucial. Students and staff expect advanced technology in the lecture hall, with an increase in AI-based tools for writing, data analysis, and content creation that can foster learning.
Benefits
- Helps university leaders train staff and students in digital ethics
- Integrates digital tools into teaching and learning processes
- Turns AI from a curiosity into a positive force
- Helps solve problems and create new knowledge
Applications
- Designing courses that teach ethical use of AI-based tools
- Finding and evaluating digital sources for research
- Secure data management training for staff
- Balancing technical skills with responsible digital habits
Key Takeaways
DigComp 2.2 provides a clear, shared language for digital skills that are important to modern teaching. It can be used as a reference for designing courses, tasks, and student assessments that blend technical skills with responsible, critical habits. The framework recognizes how the digital world keeps evolving as new technologies, including AI, reshape everything – from public services to the job market.
Explore Our AI-HED Starter Kit
Dive deeper into AI literacy with our comprehensive resources for higher education professionals. The starter kit includes practical guidelines, case studies, and a detailed glossary of AI terms.