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PGCert in AI in Teaching and Learning

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  1. Learning Outcomes
  2. PGCert-AI In Teaching Introduction

  3. Module 1: Foundations of AI in Education

    1.1. Understanding AI in Education
  4. 1.2 Current Applications and Challenges
  5. 1.3. Video: The Evolution of AI in Education
  6. Template: AI Literacy Checklist for Educators
  7. 1.5. Generative AI Tools for Educators
  8. 1.6 Prompt Engineering and Use Cases
  9. 1.7. Video: How ChatGPT, Gemini, and Copilot Work
  10. 1.8. Building AI Literacy in the Classroom
  11. Template: Prompt Strategy Canvas
  12. 1.9. Building AI Literacy in the Classroom
  13. 1.10. Video: Defining AI Literacy for Staff & Students
  14. 1.11. Designing AI Literacy Workshops
  15. Template: AI Literacy Curriculum Map
  16. 1.12. Ethics, Bias and Responsible AI Use
  17. 1.13. Bias in Data and Models
  18. 1.14. Video: Academic Integrity and Responsible AI Use
  19. Case Study: “The Misused Essay Generator”-analysing AI ethics breach
  20. 1.15. AI Governance and Policy in Higher Education
  21. 1.16. Understanding Institutional AI Policy
  22. 1.17. Creating an AI Use Framework for Educators
  23. Template: AI Policy Development Framework
  24. Template: AI Ethics Checklist
  25. AI Literacy Self-Assessment Tool
  26. Module 2: Designing AI-Enhanced Learning Experiences
    2.1. Curriculum Mapping for AI-Enabled Pedagogy
  27. 2.2. Mapping Learning Outcomes to AI Capabilities
  28. 2.3. Video: Integrating AI in Programme Design
  29. Template: Curriculum-AI Alignment Matrix
  30. 2.4. Using AI for Content Creation and Lesson Design
  31. 2.5. Using AI to Generate Interactive Content
  32. 2.6. Reviewing and Editing AI Outputs Responsibly
  33. Template: AI Lesson Plan Builder
  34. 2.7. Designing Active and Adaptive Learning Experiences
  35. 2.8. Video: Adaptive Learning Pathways
  36. 2.9. AI-Driven Engagement Tools
  37. Case Study: “SmartTutor: AI-Enhanced LMS in Action”
  38. 2.10. Personalisation through Learning Analytics
  39. 2.11. Student Profiling and Data Ethics
  40. 2.12. Video: Designing Personalised Learning Journeys
  41. Template: Personalised Learning Blueprint
  42. 2.13. Embedding AI in Course Delivery and Feedback
  43. 2.14. Using AI Chatbots and Co-Pilots in Teaching
  44. 2.15. Video: Ai in Ed: the Human Element
  45. Template: AI Integration Implementation Plan
  46. Template: AI-Ready Lesson Design Canvas
  47. Template: Personalised Learning Journey Map
  48. Mini Reflection: “How AI Changed My Course Design Thinking”
  49. Module 3: AI-Based Assessment, Feedback and Learning Analytics
    3.1. Rethinking Assessment in the AI Era
  50. 3.2. Assessment Challenges in an AI World
  51. 3.3. Authentic Assessment Principles
  52. Case Study: “PeerSense: When AI Feedback Goes Too Far”
  53. 3.4. AI-Supported Feedback Systems
  54. 3.5. Using AI for Draft Feedback and Feedforward
  55. 3.6. Designing Rubrics for AI-Assisted Feedback
  56. Template: AI Feedback Rubric Builder
  57. 3.7. Automating Assessment and Grading Responsibly
  58. 3.8. AI-Assisted Grading Tools
  59. 3.9. Video: Ensuring Human Oversight
  60. Template: AI Assessment Governance Checklist
  61. 3.10. Learning Analytics for Decision Making
  62. 3.11. Video: Using AI Dashboards for Monitoring Student Progress
  63. 3.12. Data Interpretation and Intervention Planning
  64. Template: Learning Analytics Dashboard Planner
  65. 3.13. Developing Your AI-Enhanced Assessment Strategy
  66. 3.14. Building an AI Assessment Policy
  67. 3.15. Integrating Insights into Teaching Practice
  68. Template: Assessment Innovation Roadmap
  69. Template: AI-Enabled Assessment Plan
  70. AI Integration Strategy Document

Quizzes

PGCert in AI in Teaching and Learning Learning Outcomes
Lesson 1 of 70
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Learning Outcomes

November 16, 2025

By the end of the programme, participants will be able to:

  1. Critically evaluate AI applications in education through ethical and pedagogical lenses.
  2. Design AI-enhanced learning experiences that promote personalisation and engagement.
  3. Develop AI-supported assessment strategies ensuring integrity and inclusivity.
  4. Implement AI-based analytics to improve teaching quality and learner success.
  5. Apply reflective and evidence-based approaches to integrate AI into professional practice.
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