Aim

The program aims to equip PhD scholars and academicians with advanced skills in applying AI technologies to enhance educational tools and platforms, focusing on personalization, intelligent tutoring, and improving educational outcomes.

Program Objectives

• Understand the role of AI in educational enhancement.
• Develop AI-driven personalized learning solutions.
• Implement intelligent tutoring systems.
• Analyze educational data to improve learning outcomes.
• Address ethical and privacy concerns in educational AI.

Program Structure

Module 1: Introduction to AI in Education

• Overview of AI applications in the education sector
• Impact of AI on teaching and learning practices

Module 2: AI-Driven Personalization in Learning

• AI techniques for personalized learning experiences
• Adaptive learning platforms and content recommendation

Module 3: Intelligent Tutoring Systems

• Building AI-based tutoring systems for personalized guidance
• Natural language processing for dialogue-based tutoring

Module 4: AI in Classroom Management

• AI for classroom analytics and student behavior monitoring
• Automating administrative tasks using AI

Module 5: Data Analytics for Educational Improvement

• Using AI for analyzing student performance and engagement
• Predictive analytics for identifying at-risk students

Module 6: Case Studies of AI in Education

• Successful AI implementations in schools and universities
• AI-driven educational tools and platforms

Module 7: Ethical Considerations and Privacy in Educational AI

• Ensuring data privacy and security in AI-powered systems
• Ethical considerations in the use of AI for student data

Module 8: Future Trends in AI and Education

• Emerging AI technologies transforming education
• Future directions for AI research in educational settings

Participant’s Eligibility

• PhD scholars, academicians, AI researchers, and educational technologists interested in AI-driven educational solutions.

Program Outcomes

• Mastery of AI technologies transforming education.
• Ability to build and implement personalized AI-driven learning systems.
• Hands-on experience developing AI-based intelligent tutoring systems.
• Skills to analyze and optimize educational outcomes using AI tools.
• Understanding of the ethical and privacy considerations in educational AI applications.

Program Deliverables

• Access to e-LMS
• Real-Time Project for Dissertation
• Project Guidance
• Paper Publication Opportunity
• Self-Assessment
• Final Examination
• e-Certification
• e-Marksheet

Future Career Prospects

• AI Educational Technologist
• Personalized Learning Specialist
• AI-driven Educational Content Developer
• EdTech Consultant
• Academic Data Scientist

Job Opportunities

• EdTech startups
• Educational institutions integrating AI-driven tools
• AI research organizations focused on education
• Universities enhancing student learning through AI