Mentor Based
AI in Education Technology
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Course Overview
Program Syllabus
Module 1
About This Course
This self-paced program delves into the integration of AI in educational settings, emphasizing AI-driven personalization, intelligent tutoring systems, and data-driven strategies to enhance learning experiences. Participants will explore cutting-edge AI applications and their impacts on education.
Module 2
Aim
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.
Module 3
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.
Module 4
Program Structure
- Introduction to AI in Education
- AI-Driven Personalization in Learning
- Intelligent Tutoring Systems
- AI in Classroom Management
- Data Analytics for Educational Improvement
- Case Studies of AI in Education
- Ethical Considerations and Privacy in Educational AI
- Future Trends in AI and Education
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Education Technology
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
Who Should Enrol?
Domain: Educators, AI researchers, educational technologists, data scientists in education, and academic administrators.
Module 6
Program Outcomes
- Design and implement AI-driven educational tools.
- Enhance student learning experiences through personalization.
- Utilize intelligent tutoring systems effectively.
- Analyze and interpret educational data for better outcomes.
- Ensure ethical and privacy standards in educational AI applications.
Module 8
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 14
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