Effective practices in AI literacy education : case studies and reflections /

Effective Practices in AI Literacy Educationserves as a go to guide for university key stakeholders, such as students, academics and professional support staff seeking to develop their AI literacy skills."--Publisher's description

Bibliographic Details
Other Authors: O'Dea, Xianghan (Editor), Ng, Davy Tsz Kit (Editor)
Format: eBook
Language:English
Published: Leeds : Emerald Publishing Limited, 2025.
Series:Emerald points.
Subjects:
Table of Contents:
  • Intro
  • Half Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Foreword
  • Part 1: Effective Practices in AI Literacy Education: Case Studies and ReflectionsAn Overview of AI Literacy Education in Higher Education
  • 1: Introduction
  • Traditional AI Versus Generative AI
  • Curriculum Design Approaches
  • Using Gen-AI in Higher Education
  • Curriculum as Content and Product
  • The New Learning Outcome for the Future Workforce
  • Student AI Literacy Development and Its Definition
  • Curriculum as Process and Praxis
  • Gen-AI and Interdisciplinary Learning
  • Innovative Approaches in Teaching (Gen)AI
  • Organisation of the Book
  • Conclusions and Recommendations
  • References
  • 2: An Overview of Teaching AI Literacy to University Students
  • Introduction
  • A Brief Review of AI in Education
  • Methodology
  • Results
  • Subject Disciplines, Target Audience, and Methods in HE AI Literacy
  • Curriculum Design, Learning, and Teaching Practices in HE AI Literacy
  • Impact or Effectiveness of HE AI Literacy
  • Discussion and Conclusion
  • References
  • 3: AI Literacy and Gen-AI Literacy Frameworks
  • Introduction
  • Ng's AI Literacy Framework
  • Applications of Ng's AI Literacy Framework
  • Gen-AI Literacy Framework
  • References
  • Part 2: Teaching AI Literacy to Staff and Students
  • Part 2.1: AI Preparedness for Staff
  • 4: Equipping the Next Generation: A Pre-service Teacher Education Programme in Integrating AI Literacy Across the Curricul um
  • Introduction
  • Advantages of Introducing AI Literacy to Pre-service Teachers
  • Course Overview
  • Discipline-appropriate Approaches to AI Literacy
  • Learning Objectives
  • Course Assessments
  • Content Topics
  • Teaching Approaches
  • Hands-on Activities
  • Addressing Challenges and Looking Forward
  • Recommendations
  • References
  • 5: Academic Staff AI Literacy Development Through LLM Prompt Training
  • Introduction and Background
  • Overview of Introduction to Prompt Engineering
  • Course Overview
  • Design
  • Reference Materials Used for Prompt Engineering Workshop
  • Methodology
  • Feedback and Evaluation
  • Tutor Self-reflection
  • Recommendations
  • References
  • 6: A Framework-based Cross-institutional CPD for Academic Staff in Gen-AI Literacy, Critical Inquiry, and Authentic Assessment
  • Introduction
  • The IAW Framework
  • CPD Course Overview
  • CPD Course Title: Leveraging Gen-AI in Module Assessment Design
  • Learning Outcomes
  • Teaching Approaches and Indicative Content
  • Course Activities
  • CPD Assessment Strategy
  • Tutors' Reflection
  • References
  • Part 2.2: AI Literacy Training for Students Across Subject Disciplines
  • 7: AI Literacy in Learning and Educational Technology
  • Introduction and Background
  • Course Overview
  • Course Assessments
  • Learning Objectives
  • Content Topics
  • Teaching Approaches
  • Hands-on Activities
  • Student Feedback and Evaluation
  • Tutor Self-reflection