All coursesKNUST AI COURSES / COURSE OUTLINE
Ghanaian educators collaborating on a lesson plan in a classroom
For educators · Fully online

AI for
Effective Teaching

Thoughtful teaching.
Practical AI. Better learning.

26–30 October 2026 4–6 PM GMT daily
5 days · 2 hours daily · 10 hours total
Download complete outline PDF
The course objective

More time to teach.
More ways to help learners.

Equip educators to use AI responsibly for lesson planning, instructional content, student engagement, assessment, personalised learning and teaching productivity.

Who it is for: Basic school teachers, SHS teachers, tertiary lecturers, teaching assistants, trainers and educators.

Your week at a glance

One week. A stronger teaching toolkit.

Four practical workshops.
One expert-led session.

01Monday, 26 OctoberHands-on workshop

AI Fundamentals, Prompt Engineering and Intelligent Lesson Planning

Build a lesson around your curriculum, your learners and clear learning objectives.

What you will explore

  • Generative AI: useful teaching support, capabilities and limitations.
  • Educator prompting: specify subject, level, curriculum, task and output format.
  • Curriculum alignment, lesson plans and schemes of learning.
  • Learning objectives, classroom activities and differentiated instruction.
The practical project

AI-Powered Lesson Planning

Develop and review a complete lesson plan for a topic you teach, aligned with your approved curriculum.

What you will create
  • Learning objectives and curriculum links
  • Teaching activities and learning resources
  • Differentiation and evaluation methods

Illustrative classroom context: a Basic 6 fractions lesson with everyday market examples and support for mixed-ability learners.

Tools:ChatGPT · Claude · MagicSchool AI · Brisk Teaching
02Tuesday, 27 OctoberHands-on workshop

Application of AI Tools for Lesson Planning and Scheme of Work Development

Turn your approved curriculum into a term scheme of work and ready-to-teach lesson plans.

What you will explore

  • From syllabus to scheme of work: breaking a term into weekly, teachable units.
  • Structured prompts that specify subject, level, curriculum strand, duration and output format.
  • Generating lesson plans with objectives, activities, resources and evaluation.
  • Reviewing and adapting AI drafts: accuracy, curriculum alignment, level appropriateness and local context.
  • Reusing and refining outputs across classes and terms.
The practical project

Scheme of Work and Lesson Plan Builder

Use Claude to draft a term scheme of work for a subject you teach, then use Brisk Teaching to turn one week into a complete, classroom-ready lesson plan—reviewing and correcting every output.

What you will create
  • A term scheme of work with weekly topics and objectives
  • One complete lesson plan with activities, resources and assessment
  • A personal prompt template you can reuse for any topic

Illustrative classroom context: a JHS Integrated Science scheme of work for the term, with one week developed into a full lesson on photosynthesis using familiar local examples.

Tools:Claude · Brisk Teaching
03Wednesday, 28 OctoberHands-on workshop

AI-Powered Teaching Materials, Interactive Content and Personalised Learning

Turn your Day 1 lesson plan into resources learners can use and engage with.

What you will explore

  • Professional teaching presentations and instructional materials.
  • Interactive activities, simulations and classroom learning resources.
  • Simplifying complex topics and adapting instruction to learner needs.
  • Study guides, flashcards, audio explanations and student learning assistants.
The practical project

Interactive AI Teaching Resource Kit

Transform your lesson plan into a coherent teaching kit, then check its accuracy, readability and learner suitability.

What you will create
  • AI-assisted teaching presentation
  • One interactive learning activity
  • Personalised study materials

Illustrative classroom context: an SHS biology lesson on ecosystems with a visual presentation, food-web activity and revision cards.

Tools:Gamma · NotebookLM · Claude Artifacts · Khanmigo · Quizlet
04Thursday, 29 OctoberHands-on workshop

AI-Powered Assessments, Student Feedback and Teaching Automation

Assess understanding, give constructive feedback and reduce repetitive preparation.

What you will explore

  • Quizzes, assignments, examinations, answer keys and marking rubrics.
  • Formative and summative assessment aligned with learning objectives.
  • Personalised feedback and identification of learning gaps.
  • AI agents, multi-step teaching tasks and recurring workflows using ChatGPT Work & Automations.
The practical project

AI Assessment and Teaching Productivity Workflow

Create a subject-specific assessment, review feedback on fictional student responses and design a recurring teaching workflow.

What you will create
  • Assessment with answer key and marking rubric
  • Constructive feedback on fictional responses
  • Recurring AI-assisted workflow with teacher review

Illustrative classroom context: a JHS science quiz, a checked marking rubric and a weekly revision-sheet preparation workflow.

Tools:Edcafe AI · MagicSchool AI · Brisk Teaching · ChatGPT Work & Automations
05Friday, 30 OctoberExpert lecture & case studies

Prof. E.A. Asante

AI Governance, Academic Integrity, Assessment Criteria and Ethics

Set fair expectations for AI use while protecting privacy and independent learning.

What you will explore

  • Institutional AI governance and practical policy principles.
  • Privacy, fairness, bias, accountability and teacher responsibilities.
  • Acceptable and unacceptable AI use in assignments and examinations.
  • Assessment criteria that reveal student understanding, not just polished AI output.
  • Transparency, acknowledgement, academic integrity and prevention of AI dependency.
The session focus

Case studies, policy discussion & course reflection

Consider realistic student-use cases and discuss how to supervise AI use, protect independent learning and communicate clear expectations.

What you will take away
  • Principles for student AI-use guidelines
  • Ethical assessment criteria and responsible next steps

Illustrative policy case: distinguish a student using AI for feedback on their own draft from submitting an AI-written assignment as their own work.

A Ghanaian teacher preparing colourful learning cards and classroom resources
Your learning outcomes

Leave ready to apply AI
in your teaching.

  • Develop curriculum-aligned lesson plans using effective prompts.
  • Create interactive teaching materials and personalised learning resources.
  • Design assessments, marking rubrics and constructive student feedback.
  • Use AI-assisted workflows to improve teaching productivity.
  • Integrate AI responsibly across Basic, SHS and tertiary education.
  • Establish guidelines for student AI use, academic integrity and ethical assessment.
Monday – Thursday

Each practical day: two focused hours.

  1. 20MINTheory & key concepts
  2. 35MINLive tool demonstrations
  3. 50MINGuided individual project
  4. 15MINReview, questions & submission
Friday

Expert session with Prof. E.A. Asante

Lecture, practical educational examples, case studies and interactive discussion, with course reflection.

Come prepared

  • Bring a curriculum topic, approved syllabus or lesson plan you can adapt.
  • Have a laptop where possible and a stable internet connection.
  • Use fictional or anonymised student examples; never upload identifiable learner records.

AI supports the teacher. It does not replace professional judgement, relationships with learners or responsibility for accurate, fair assessment.

Tools are introduced according to the teaching task. Accounts, regional availability and paid features vary; no paid access is included or promised. ChatGPT Work and automation features depend on account support and permissions. Any recurring workflow must retain teacher review.

Download complete outline PDF