Empowering Educators: Using AI in Education k-12
Trainer: Engy Hammam
Duration: 12 Hours
Objectives
By the end of this course, participants will be able to:
1. Explain the foundational concepts of Artificial Intelligence (AI) and its evolution, including key terms such as machine learning and natural language processing, within an educational context.
2. Recognize real-world applications of AI in both everyday life and educational settings, and reflect on the opportunities and risks it presents.
3. Identify and evaluate AI-powered tools that assist teachers in instructional planning, assessment, feedback, and classroom management.
4. Understand the role of AI in supporting personalized learning for students, including tools that promote student engagement, creativity, and differentiated instruction.
5. Critically examine ethical considerations related to AI in education, including data privacy, algorithmic bias, and the importance of maintaining the human element in teaching.
6. Design a practical implementation plan to integrate AI into classroom practices or school systems, including necessary support structures and continuous learning strategies.
7. Reflect on responsible and equitable use of AI in education, considering diverse student needs, teacher responsibilities, and institutional readiness.
Outline
Module 1: Introduction to AI in Education
Objectives:
• Understand what AI is and how it works in a simplified educational context.
• Identify current applications of AI in daily life and education.
• Address myths and ethical concerns around AI in schools.
Content:
• Definitions: AI, Machine Learning, Natural Language Processing.
• Brief History and Evolution of AI.
• Real-life AI tools already in education (e.g., adaptive learning platforms,
chatbots).
• Discussion: Opportunities and Risks of AI.
Activities:
• AI in your life: quick reflections.
• Video + think-pair-share: “How AI is reshaping learning.”
Module 2: AI Tools for Teachers
Objectives:
• Explore AI-powered tools that support instruction, assessment, and planning.
• Evaluate how AI can streamline administrative tasks for educators.
Content:
• AI for lesson planning (e.g., ChatGPT, MagicSchool.ai).
• AI in assessment: auto-grading, feedback generation.
• AI for data analysis and personalized instruction.
• Tools overview
Activities:
• Hands-on: Create a lesson using AI tools.
• Tool exploration stations or live demos.
• Reflection: What fits your context?
Module 3: AI for Students – Supporting Personalized Learning
Objectives:
• Understand how AI enhances personalized learning pathways.
• Discover tools that promote student agency, creativity, and feedback.
Content:
• AI writing assistants for students: pros and cautions.
• Personalized learning systems
• AI for student feedback, language support, and accessibility.
Activities:
• Scenario walkthrough: AI helping a struggling reader.
• Group task: Match student need with an AI tool.
• Discussion: Ethical use and responsible digital citizenship.
Module 4: Risks, Ethics, and Responsible Use of AI
Objectives:
• Discuss the ethical use of AI in education.
• Explore data privacy, bias, and the role of the teacher in an AI-enhanced
classroom.
Content:
• Bias in AI and algorithmic fairness.
• Data security, student information, and legal implications.
• Teacher role vs. machine role – maintaining human connection.
Activities:
• Case studies: Where AI failed – what should educators know?
• Draft a classroom AI use policy.
• Interactive discussion: Teacher as the ethical guide.
Module 5: Planning for Implementation
Objectives:
• Design a simple AI integration plan for your classroom or school.
• Identify support structures needed to implement AI effectively.
Content:
• AI readiness checklist for educators and schools.
• Building an AI-integrated lesson or project.
• Professional learning communities and continuous updates.
Activities:
• Design your “AI-Enhanced Lesson Plan” using a provided template.
• Peer feedback & presentation.
• Wrap-up: Next steps and action plans.