Overview
Education is undergoing a major transformation driven by Artificial Intelligence (AI). From lesson planning and content creation to assessment design, feedback, and student support, AI offers powerful opportunities to enhance teaching effectiveness, improve learning experiences, and reduce administrative burden—when used responsibly.
Advances in Generative AI and Large Language Models (LLMs) enable educators to personalise learning materials, generate assessments, provide formative feedback, support diverse learners, and streamline academic workflows. However, these opportunities come with challenges related to academic integrity, ethics, bias, data privacy, and the evolving role of educators.
This course provides a practical, education-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support teaching and learning, and gain hands-on experience applying AI to real educational tasks. The emphasis is on pedagogical value, ethical use, and immediate classroom applicability, without requiring technical or programming skills.
Skills Covered
By the end of this course, participants will be able to:
- Understand core AI concepts relevant to education
- Distinguish between AI, Machine Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for teaching and learning workflows
- Use AI to support lesson planning, content creation, and assessment
- Apply AI to student feedback, academic support, and learning design
- Improve productivity while maintaining academic integrity and ethics
- Establish responsible AI practices in educational environments
Prerequisites
There are no prerequisites required to attend this course.
Target Audience
This course is designed for professionals involved in education and training, including:
- Lecturers and university academics
- School teachers and educators
- Trainers and instructional designers
- Academic coordinators and programme managers
- Education administrators and support staff
- Curriculum developers and assessment designers
No prior AI or technical background is required.
Module 1: Understanding AI for Education
- What Artificial Intelligence is and is not
- Relationship between:
- Artificial Intelligence
- Machine Learning
- Large Language Models (LLMs)
- Generative AI
- How AI supports education:
- personalised learning
- content generation and adaptation
- formative assessment and feedback
- academic administration support
- Strengths and limitations of AI in educational contexts
Module 2: AI Tools Landscape for Educators
- Overview of AI tools for education:
- ChatGPT, Gemini, Copilot, Claude
- Perplexity, Grok, Manus, DeepSeek, Qwen, NotebookLM
- Differences in tools for:
- teaching content creation
- research and knowledge support
- assessment and feedback
- Selecting the right AI tool for:
- lesson planning
- classroom activities
- academic writing support
- Prompt engineering fundamentals for educational use
Hands-On Activities
- Writing prompts for lesson planning and learning objectives
- Generating classroom activities and discussion questions
Comparing AI outputs across tools
Module 3: AI for Teaching Materials and Lesson Design
- Using AI to:
- create lesson plans and outlines
- generate slides, worksheets, and activities
- adapt materials for different learner levels
- Supporting inclusive and differentiated learning
- Using AI to explain complex concepts simply
Hands-On Activities
- Designing a lesson using AI support
- Adapting content for diverse learners
Module 4: Responsible AI, Ethics, and Academic Integrity
- Academic integrity and AI:
-
- plagiarism concerns
- assessment authenticity
- student misuse of AI
- Bias, fairness, and accessibility
- Data privacy and student information protection
- Human-in-the-loop teaching and assessment
Developing classroom AI usage guidelines
Module 5: AI for Assessment Design and Feedback
- Using AI to:
- design quizzes, assignments, and rubrics
- align assessments with learning outcomes
- generate formative feedback
- Enhancing feedback quality without replacing educators
- Supporting constructive and timely feedback
Hands-On Activities
- Designing an AI-assisted assessment
- Generating feedback for sample student work
Module 6: AI for Student Support and Learning Analytics
- Supporting student learning with AI:
- study guides and revision summaries
- learning support and FAQs
- early identification of learning gaps
- NotebookLM for academic document summarisation
- Ethical use of AI for student support
Hands-On Activities
- Creating student learning resources using AI
- Designing AI-assisted academic support materials
Module 7: AI-Enabled Teaching and Academic Workflows
- Designing AI-supported teaching workflows:
- lesson → delivery → assessment → feedback
- Integrating AI into daily academic tasks
- Reducing administrative workload responsibly
- Measuring teaching effectiveness with AI support
Exercise
- Designing an AI-supported teaching workflow
Module 8: AI Strategy for Education Institutions and Educators
- Identifying high-impact AI use cases in education
- Preparing educators and students for AI-enabled learning
- Establishing institutional AI guidelines and policies
- Supporting lifelong learning and future-ready education
- Building an AI adoption roadmap for educational settings
Workshop
- Drafting a high-level AI strategy for an educational institution or programme
Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
Why train with Trainocate
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
