Detailed Course Outline
Module 1: Foundation 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
Module 2: AI in Classroom Teaching and Learning
- 2.1 AI-Driven Personalized Learning
- 2.2 AI Tools for Engagement
- 2.3 Implementing AI Strategies
Module 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
Module 4: AI and Curriculum Integration
- 4.1 Curriculum Planning with AI
- 4.2 Interactive AI Modules
- 4.3 AI in Student Assessment
Module 5: AI for Administrative Efficiency
- 5.1 Streamlining Operations
- 5.2 AI for Student Services
- 5.3 Data Management and Analysis
Module 6: Data Literacy and AI
- 6.1 Fundamentals of Data Literacy
- 6.2 Data Analysis in Education
- 6.3 Data-Driven Decision Making
Module 7: AI-Enhanced Assessment and Feedback
- 7.1 Revolutionizing Assessments
- 7.2 Automated Grading Systems
- 7.3 Personalized Learning Paths
Module 8: AI Tools and Hands-on Experience
- 8.1 Exploring AI Tools
- 8.2 Practical Exercises
- 8.3 Evaluating AI Tool Effectiveness