AI in Classroom Management and Administration

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Self Paced

Program Syllabus

Module 1

About This Course

This self-paced program explores the role of AI in classroom management and school administration, focusing on automated grading systems, attendance monitoring, and enhancing administrative efficiency. Participants will analyze successful case studies and prepare for AI certifications in education.

Module 2

Aim

To provide PhD scholars and academicians with advanced skills in utilizing AI to streamline classroom management and school administration. This course aims to enhance administrative efficiency, improve grading accuracy, and ensure effective attendance monitoring through AI-driven tools.

Module 3

Program Objectives

Implement AI-driven grading systems.
Utilize AI tools for attendance monitoring.
Enhance administrative efficiency with AI applications.
Analyze successful case studies of AI in education.
Prepare for AI certifications in education.

Module 4

Program Structure

Automated Grading Systems
- Tools for AI-driven grading
- Benefits and challenges of automated grading
- Hands-on session with AI grading tools
Attendance Monitoring
- AI tools for tracking student attendance
- Implementing attendance monitoring systems
- Practical applications and case studies
Administrative Efficiency
- AI applications in school management
- Enhancing administrative processes with AI
- Hands-on session with AI administrative tools
Case Studies
- Improved administrative processes through AI
- Analysis of successful implementations
- Lessons learned and best practices
Certification Insights
- Key areas for AI certifications in education
- Study materials and resources
- Practice exams and review sessions

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.

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