Enhancing Student Engagement with AI
Enhancing Student Engagement with AI is a advanced-level, 8 Weeks online course by NSTC. Master key concepts and practical skills in Science & Technology through hands-on projects, real-world case studies, and expert mentorship.
- ModeOnline (e-LMS)
- LevelAdvanced
- Duration8 Weeks
- Fee₹10,749
| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Advanced |
| Duration | 8 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹10749 / $145 |
| Tools | Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases |
About the Enhancing Student Engagement with AI Course
This self-paced course covers the application of AI in enhancing student engagement.
Participants will explore AI-driven educational games, virtual tutoring systems, and engagement analytics tools. The course also includes case studies of successful implementations and prepares participants for AI certifications in education.
Program Highlights
• Comprehensive coverage of Enhancing Student Engagement with AI from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology
Course Curriculum
Module 1: Introduction to Enhancing Student Engagement with AI
- Overview and historical evolution of Enhancing Student Engagement with AI
- Key terminology, definitions, and core concepts in Science & Technology
- Current industry landscape, trends, and career opportunities
- Setting up the learning environment and essential tools
Module 2: Fundamentals and Theoretical Foundations
- Core principles and scientific/theoretical underpinnings of Enhancing Student Engagement with AI
- Mathematical and analytical frameworks relevant to Science & Technology
- Comparative analysis of major approaches and methodologies
- Understanding key standards, guidelines, and best practices
Module 3: Advanced Topics and Emerging Trends in Science & Technology
- Cutting-edge research and innovations in Enhancing Student Engagement with AI
- Integration with AI, automation, and modern technologies
- Industry case studies and real-world problem solving
- Future directions and career pathways in Science & Technology
Module 4: Capstone Project and Assessment
- End-to-end project implementation using Enhancing Student Engagement with AI skills
- Peer review, collaborative exercises, and expert feedback
- Portfolio-ready project documentation and presentation
- Final assessment and course completion evaluation
