Course Overview
This self-paced program dives into the integration of AI within educational environments, focusing on AI-driven personalization, intelligent tutoring systems, and data-informed strategies to enhance learning experiences. Participants will explore the latest AI applications and their transformative impact on the education sector.
Course Goals
The goal of this program is to provide PhD scholars and academicians with advanced skills in applying AI technologies to improve educational tools and platforms. The course emphasizes personalization, intelligent tutoring, and strategies for enhancing educational outcomes.
Program Objectives
- Understand the role of AI in transforming education.
- Develop AI-powered personalized learning solutions.
- Implement intelligent tutoring systems effectively.
- Analyze educational data to enhance learning outcomes.
- Address ethical and privacy concerns associated with AI in education.
Course Outline
- Introduction to AI in Education: Overview of AI's role and potential in education.
- AI-Driven Personalization in Learning: Techniques for creating personalized learning experiences.
- Intelligent Tutoring Systems: Development and implementation of AI-driven tutoring solutions.
- AI in Classroom Management: Utilizing AI for effective classroom management and engagement.
- Data Analytics for Educational Improvement: Leveraging data to drive better educational outcomes.
- Case Studies of AI in Education: Real-world examples of AI applications in educational settings.
- Ethical Considerations and Privacy in Educational AI: Ensuring ethical use and safeguarding privacy in AI applications.
- Future Trends in AI and Education: Exploring the emerging trends and future of AI in education.
Eligibility
- This program is ideal for educators, AI researchers, educational technologists, data scientists working in education, and academic administrators interested in leveraging AI to transform educational practices.
Learning Outcomes
- Design and implement AI-driven tools to enhance education.
- Personalize student learning experiences using AI technologies.
- Effectively utilize intelligent tutoring systems to improve learning.
- Analyze and interpret educational data to drive better outcomes.
- Ensure that AI applications in education meet ethical and privacy standards.