Pedagogy of AI for Educators
Learn to design learning experiences using AI for personalization, engagement, and critical thinking, preparing students for an AI-driven world.
Study Format
100% Online, Instructor Guided
Duration
8 Weeks
Category
Technology & AI
Tuition
PKR 10,000
MENTISERA Institute
Pedagogy of AI for Educators
Programme Specification and Weekly Outline
Course URL: /courses/pedagogy-of-ai
Category
Technology & AI
Duration
8 Weeks
Mode
Online
Tuition
PKR 10,000
Target Audience
K-12 & Higher Education Faculty
Prerequisite
Basic digital literacy and teaching experience.
Overview
Learn to design learning experiences using AI for personalization, engagement, and critical thinking, preparing students for an AI-driven world.
Learning Outcomes
- Understand the fundamentals of AI and its applications in education.
- Design lesson plans that ethically and effectively incorporate AI tools.
- Use AI to create personalized learning paths for students.
- Foster critical thinking and AI literacy in the classroom.
- Evaluate AI-based educational tools for effectiveness and safety.
Weekly Outline
Week 1: Introduction to AI in Education
Objectives
- Define Artificial Intelligence and its key branches (Machine Learning, NLP).
- Understand the history and evolution of AI in educational contexts.
- Identify the potential benefits and challenges of using AI in the classroom.
Topics
- What is AI? Demystifying the Terminology
- A Brief History of AI in Learning
- Types of AI Tools for Education (Tutors, Assessment, Content)
- The 'Why': AI for Personalization, Efficiency, and Engagement
Activity: Explore and categorize three different AI-powered educational tools.
Week 2: Prompt Engineering for Educators
Objectives
- Understand the principles of effective prompt design for generative AI.
- Craft prompts to generate lesson plans, materials, and assessments.
- Develop strategies for teaching students how to interact with AI models effectively.
Topics
- The Art and Science of the Prompt
- Crafting Prompts for Content Creation
- Using AI for Differentiated Instruction Ideas
- Teaching Prompt Literacy to Students
Activity: Use an AI model to generate a complete lesson plan for a topic of your choice, iterating on your prompts for better results.
Week 3: AI for Personalized Learning Paths
Objectives
- Explore how AI can be used to create adaptive learning experiences.
- Analyze data from AI tools to understand student progress.
- Design a simple personalized learning activity using an AI tool.
Topics
- From Differentiation to Personalization
- Adaptive Learning Platforms
- Using AI-generated data to inform instruction
- Balancing AI-driven paths with teacher guidance
Activity: Design a choice board activity where options are generated or supported by an AI tool.
Week 4: Integrating AI into Core Subjects
Objectives
- Identify subject-specific applications for AI in STEM, humanities, and arts.
- Develop lesson activities that use AI as a tool for inquiry and creation.
- Critically evaluate the suitability of AI tools for different learning goals.
Topics
- AI as a Research Assistant in History & Literature
- AI for Data Analysis and Visualization in Science & Math
- AI as a Creative Partner in Art & Music
- AI for Language Learning and Practice
Activity: Adapt an existing lesson plan to include a meaningful AI-based activity.
Week 5: Ethical AI in the Classroom
Objectives
- Identify key ethical concerns related to AI, including bias, privacy, and academic integrity.
- Develop classroom policies for the responsible use of AI.
- Facilitate student discussions about the societal impact of AI.
Topics
- Algorithmic Bias and its Impact on Equity
- Student Data Privacy in the Age of AI
- Redefining Academic Integrity and Plagiarism
- Fostering Critical Conversations about AI Ethics
Activity: Develop a classroom 'AI Use' policy or honor code.
Week 6: Assessing Student Work in the Age of AI
Objectives
- Rethink assessment design to prioritize critical thinking and process over final product.
- Utilize AI tools to provide faster and more targeted feedback.
- Design 'AI-proof' assignments that measure genuine understanding.
Topics
- The Impact of Generative AI on Traditional Assessments
- Process-Based vs. Product-Based Assessment
- Using AI for Formative Feedback and Scaffolding
- Designing Assessments that Require Higher-Order Thinking
Activity: Redesign a traditional essay assignment to be more resilient to generative AI and to focus on the writing process.
Week 7: AI as a Teacher's Assistant
Objectives
- Leverage AI tools to automate administrative tasks (e.g., emails, report comments).
- Use AI to generate instructional materials, rubrics, and examples.
- Explore AI for professional development and lifelong learning.
Topics
- AI for Workflow Automation
- Generating Rubrics and Exemplars
- AI as a Brainstorming Partner for Professional Growth
- Staying Current with AI in Education
Activity: Use an AI tool to draft communications to parents about an upcoming class project.
Week 8: Designing the AI-Enhanced Classroom of the Future
Objectives
- Synthesize course concepts into a cohesive vision for an AI-enhanced classroom.
- Develop a plan for introducing AI tools and pedagogy to colleagues.
- Create a capstone project that demonstrates mastery of AI pedagogy.
Topics
- Vision for the Future of Learning with AI
- Leading AI Integration in Your School
- Advocating for Responsible AI Adoption
- Capstone Project: My AI-Integrated Unit Plan
Activity: Finalize and present a comprehensive unit plan that deeply and ethically integrates AI tools and pedagogy.
This document is generated from the live MENTISERA course record and reflects administrator-managed programme content.
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About This Course
Programme Specification
Formal academic summary of the programme configuration.
- Programme
- Pedagogy of AI for Educators
- Category
- Technology & AI
- Duration
- 8 Weeks
- Mode
- Online
- Tuition
- PKR 10,000
- Target Audience
- K-12 & Higher Education Faculty
- Prerequisite
- Basic digital literacy and teaching experience.
Audience & Entry Requirements
Target Audience: K-12 & Higher Education Faculty
Focus Area: AI in Education
Prerequisite: Basic digital literacy and teaching experience.
Fee & Completion
Programme Fee: PKR 10,000
Key Learning Outcomes
- Understand the fundamentals of AI and its applications in education.
- Design lesson plans that ethically and effectively incorporate AI tools.
- Use AI to create personalized learning paths for students.
- Foster critical thinking and AI literacy in the classroom.
- Evaluate AI-based educational tools for effectiveness and safety.
Weekly Course Outline
Navigate week by week to understand objectives, topics, and applied learning activities.
Week 1: Introduction to AI in Education
Practical outcomes, focus topics, and weekly application activity.
Learning Objectives
- Define Artificial Intelligence and its key branches (Machine Learning, NLP).
- Understand the history and evolution of AI in educational contexts.
- Identify the potential benefits and challenges of using AI in the classroom.
Key Topics
- What is AI? Demystifying the Terminology
- A Brief History of AI in Learning
- Types of AI Tools for Education (Tutors, Assessment, Content)
- The 'Why': AI for Personalization, Efficiency, and Engagement
Practice Focus
Explore and categorize three different AI-powered educational tools.
Meet the Instructor
Prof. Shahzad Khan
Director of Studies, MENTISERA Institute
M.Phil. in Education Management
Professor Shahzad is a veteran trainer, teaching expert, and educational leader. He has spent over a decade preparing teacher training curriculum, passing teacher licenses preparation frameworks, and assisting over 5,000 educators across Pakistan to upskill.
Thematic Course Structure
This chart provides a visual breakdown of the program's core themes.
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