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What’s Included?

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Prerequisites

    • Basic understanding of educational theories and practices. 
    • Familiarity with digital tools and educational technology. 
    • Some experience in lesson planning and curriculum design. 
    • Interest in the potential and application of AI in education. 

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

ChatGPT

ChatGPT

Eduaide

Eduaide

GradeScope

GradeScope

Classtime

Classtime

What You’ll Learn

Ethical Decision-Making Skills

Students will learn to identify and address ethical, bias, and sustainability issues in AI education. This includes critically analyzing AI systems, promoting fairness, transparency, and accountability, and advocating for the ethical use of AI in educational settings.

Curriculum Integration and Instructional Design

Students will learn to integrate AI technologies into the educational curriculum by aligning AI-based resources and activities with learning objectives, creating engaging and interactive experiences, fostering computational thinking and problem-solving skills through AI.

Data Literacy and Analysis for Educational Insights

Participants will gain data literacy and analysis abilities needed to use AI in education. This involves AI tools to collect, analyse and understand educational data, extract valuable insights to influence decision-making, and tailor learning experiences depending on student performance and needs.

Problem-Solving with AI Tools

Students will receive practical experience with several AI tools and platforms, which includes administrative operations, and assessment and feedback. This practical experience will help in using AI to solve educational problems.

Course Modules

Course Overview
  1. Course Introduction Preview
Module 1: Foundations of Artificial Intelligence (AI) in Education
  1. 1.1 Fundamentals of AI Preview
  2. 1.2 AI in Education Today Preview
  3. 1.3 Impact and Future Prospects of AI
Module 2: AI in Classroom Teaching and Learning
  1. 2.1 AI-Driven Personalized Learning Preview
  2. 2.2 AI Tools for Engagement
  3. 2.3 Implementing AI Strategies
Module 3: Ethical, Bias, and Sustainability Issues in AI
  1. 3.1 AI Ethics in Education Preview
  2. 3.2 Addressing AI Bias
  3. 3.3 AI and Environmental Sustainability
Module 4: AI and Curriculum Integration
  1. 4.1 Curriculum Planning with AI
  2. 4.2 Interactive AI Modules
  3. 4.3 AI in Student Assessment
Module 5: AI for Administrative Efficiency
  1. 5.1 Streamlining Operations
  2. 5.2 AI for Student Services
  3. 5.3 Data Management and Analysis
Module 6: Data Literacy and AI
  1. 6.1 Fundamentals of Data Literacy
  2. 6.2 Data Analysis in Education
  3. 6.3 Data-Driven Decision Making
Module 7: AI-Enhanced Assessment and Feedback
  1. 7.1 Revolutionizing Assessments
  2. 7.2 Automated Grading Systems
  3. 7.3 Personalized Learning Paths
Module 8: AI Tools and Hands-on Experience
  1. 8.1 Exploring AI Tools
  2. 8.2 Practical Exercises
  3. 8.3 Evaluating AI Tool Effectiveness
Optional Module: AI Agents for Education
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

Frequently Asked Questions

Educators with a basic understanding of educational theories, digital tools, and curriculum design should enroll.

Educators will learn to integrate AI into teaching, develop AI-enhanced curricula, and address ethical concerns, keeping them updated on AI trends.

Yes, the certification includes practical exercises such as simulations, problem-solving activities, and projects, with opportunities to evaluate AI tools.

Educators will learn to create AI-infused subjects, develop interactive AI modules, use AI-assisted grading, and implement data-driven decision-making.

Content is regularly updated based on advancements in AI technologies and feedback from certified educators.