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AI as a Digital Capability

Developing AI Literacy for Staff and Students

MALT Homepage > AI Resources > AI as a Digital Capability

Overview

As AI becomes increasingly integrated into professional and academic environments, developing AI literacy has become an essential digital capability for both staff and students. This involves not only understanding how to use AI tools effectively but also developing the critical thinking skills needed to evaluate AI outputs and use these technologies responsibly.

At Marjon, we recognise the need to support our community in building these capabilities, ensuring everyone can engage with AI confidently and ethically in their teaching, learning, and professional practice.

Potential Work & Initiatives

The AI Working Group is exploring opportunities in the following areas:

Student AI Literacy

Developing resources to help students build foundational AI skills and understand appropriate use in academic contexts.

Staff Development

Exploring opportunities for staff to develop AI capabilities for teaching, research, and professional practice.

Curriculum Integration

Considering how AI literacy can be embedded within programme curricula across different disciplines.

Coming Soon

We are interested in developing resources and support in the following areas. Check back regularly for updates.

AI Literacy Framework

A structured approach to developing AI capabilities, outlining core competencies for different roles and contexts.

Expressions of Interest Welcome

Practical Guides & Tutorials

Step-by-step resources for using AI tools effectively in teaching, learning, and research contexts.

Expressions of Interest Welcome

Community of Practice

Opportunities for staff to share experiences, challenges, and successes in developing AI capabilities.

Expressions of Interest Welcome

Key Capabilities

Technical Proficiency

Understanding how to use AI tools effectively and appropriately for different tasks.

Critical Evaluation

Assessing AI outputs for accuracy, bias, and relevance to specific contexts.

Ethical Application

Using AI responsibly while considering privacy, academic integrity, and social impact.

Adaptive Learning

Continuously developing skills as AI technologies and applications evolve.

Related Resources

AI & Academic Integrity

Explore policies and guidance on maintaining academic integrity in the age of AI.

Explore Resources →

AI & Assessment Practice

Learn about redesigning assessments to maintain integrity while embracing AI innovation.

Learn More →

Canvas/VLE First Project

Supporting staff development and digital capability building through our VLE enhancement project.

View Project →

Get Involved

We welcome input and collaboration from staff and students across the university. If you have:

Experience developing AI capabilities in your teaching or professional practice
Ideas for AI literacy resources or training
Interest in contributing to AI capability development work
Questions about building AI skills in your context

Please contact the AI Working Group through the email link above to share your experiences or express interest in our development work.