Educause AI Literacy in Teaching and Learning (ALTL)
This report presents a framework for AI Literacy in Teaching and Learning (ALTL) in higher ed. It equips students, faculty, and staff to engage with AI technologies ethically, focusing on understanding fundamentals, evaluating applications, and preventing misuse and bias.
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by Joe Sabado
Introduction and Guidelines Development
Defining AI Literacy
Framework for AI literacy in higher ed - understanding fundamentals, evaluating apps, and preventing misuse/bias.
Comprehensive Framework
This framework anchors AI literacy in principles for technical, evaluative, practical and ethical use in higher ed, transcending technology trends.
Collaborative Development
These guidelines were developed through discussions with faculty, administrators, and researchers on AI in higher ed.
Stakeholder Priorities
The committee focused on responsible, productive uses of AI in education and research, as well as practical implementation into curricula, teaching, and design.
Defining AI Literacy For Higher Education
AI literacy involves understanding, evaluating, and using AI ethically. This requires technical knowledge, critical thinking, practical application, and ethical awareness. Institutions must prioritize AI literacy for students, faculty, and staff.
Student ALTL Competencies
Fundamentals of AI
Students need foundational AI knowledge, including machine learning, natural language processing, and neural networks. This core understanding is essential for grasping AI's potential across disciplines.
Application of AI Tools
Students should learn to use AI tools like writing prompts, study aids, virtual tutors, and research assistants to enhance their academic work.
Hands-On Experience
Students will gain hands-on AI experience through workshops, enabling them to apply these tools to coursework.
Faculty ALTL Competencies
Fundamentals of AI
Faculty must understand AI fundamentals, including machine learning and neural networks, to apply these technologies in their disciplines.
Application of AI Tools
Faculty should use AI tools like prompts, teaching aids, virtual tutors, and research assistants in their work.
Hands-On Experience
Faculty will learn to use AI tools through hands-on workshops, applying them in teaching and research.
Staff ALTL Competencies
Fundamentals of Generative AI
Staff need AI literacy to integrate tools into admin and support AI initiatives.
Critical Assessment of AI Tools
Staff need AI skills to evaluate and select tools for admin and support.
Hands-On Experience
Staff will gain hands-on AI skills to create content and support faculty/students.
Conclusion
AI literacy is crucial for the responsible integration of AI in higher education. Investing in student, faculty, and staff AI literacy fosters a culture of responsible AI use, enabling innovation and positive societal impact. This framework is a catalyst for transformation, but ongoing monitoring and evaluation are essential for a sustainable future. Institutions with a commitment to continuous learning will adapt to the evolving landscape of AI and maintain a culture of responsible AI use.