Course Overview
Course Introduction
Module 1: Foundations of Artificial Intelligence (AI) in Education
Fundamentals of AI
AI in Education Today
Impact and Future Prospects of AI
Module 2: AI in Classroom Teaching and Learning
AI-Driven Personalized Learning
AI Tools for Engagement
Implementing AI Strategies
Module 3: Ethical, Bias, and Sustainability Issues in AI
AI Ethics in Education
Addressing AI Bias
AI and Environmental Sustainability
Module 4: AI and Curriculum Integration
Curriculum Planning with AI
Interactive AI Modules
AI in Student Assessment
Module 5: AI for Administrative Efficiency
Streamlining Operations
AI for Student Services
Data Management and Analysis
Module 6: Data Literacy and AI
Fundamentals of Data Literacy
Data Analysis in Education
Data-Driven Decision Making
Module 7: AI-Enhanced Assessment and Feedback
Revolutionizing Assessments
Automated Grading Systems
Personalized Learning Paths
Module 8: AI Tools and Hands-on Experience
Exploring AI Tools
Practical Exercises
Evaluating AI Tool Effectiveness
Optional Module: AI Agents for Education
Understanding AI Agents
Case Studies
Hands-On Practice with AI Agents