Recommended Prerequisites:
- Basic understanding of education theories and practices.
- Familiarity with digital tools and educational technologies.
- Experience in curriculum planning is a plus.
- Strong interest in AI’s transformative potential in education.
Course Outline:
Lesson 1: Foundations of Artificial Intelligence (AI) in Education
- 1.1 Fundamentals of AI
- 1.2 AI in Education Today
- 1.3 Impact and Future Prospects of AI
Lesson 2: AI in Classroom Teaching and Learning
- 2.1 AI-Driven Personalized Learning
- 2.2 AI Tools for Engagement
- 2.3 Implementing AI Strategies
Lesson 3: Ethical, Bias, and Sustainability Issues in AI
- 3.1 AI Ethics in Education
- 3.2 Addressing AI Bias
- 3.3 AI and Environmental Sustainability
Lesson 4: AI and Curriculum Integration
- 4.1 Curriculum Planning with AI
- 4.2 Interactive AI Lessons
- 4.3 AI in Student Assessment
Lesson 5: AI for Administrative Efficiency
- 5.1 Streamlining Operations
- 5.2 AI for Student Services
- 5.3 Data Management and Analysis
Lesson 6: Data Literacy and AI
- 6.1 Fundamentals of Data Literacy
- 6.2 Data Analysis in Education
- 6.3 Data-Driven Decision Making
Lesson 7: AI-Enhanced Assessment and Feedback
- 7.1 Revolutionizing Assessments
- 7.2 Automated Grading Systems
- 7.3 Personalized Learning Paths
Lesson 8: AI Tools and Hands-on Experience
- 8.1 Exploring AI Tools
- 8.2 Practical Exercises
- 8.3 Evaluating AI Tool Effectiveness
Optional Lesson: AI Agents for Education
- Understanding AI Agents
- Case Studies
- Hands-On Practice with AI Agents
