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AI+ Educator

SS Course: 3000823

Course Overview

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The AI+ Educator course explores how Artificial Intelligence is transforming education. It covers AI fundamentals, its current applications in education, and future prospects. The course examines AI-driven personalized learning, tools for enhancing classroom engagement, and effective implementation strategies. It also addresses critical issues such as AI ethicsbias, and sustainability. Participants will learn about integrating AI into curriculum planning, interactive modules, and student assessment, as well as using AI to improve administrative efficiency and data management.

                                                                  

Scheduled Classes

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01/16/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
02/13/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
03/13/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
04/14/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
05/15/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)
06/12/26 - NVT - Virtual Classroom - Virtual-Instructor Led (click to enroll)

What You'll Learn

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  • Understand the Fundamentals of AI
  • Recognize AI's Role in Education Today
  • Explore the Impact and Future Prospects of AI in Education
  • Leverage AI for Personalized Learning
  • Implement AI Strategies in Classroom Teaching
  • Navigate Ethical, Bias, and Sustainability Issues
  • Integrate AI into Curriculum Planning
  • Utilize AI for Administrative Efficiency
  • Develop Data Literacy Skills
  • Revolutionize Assessments with AI
  • Gain Hands-on Experience with AI Tools

Outline

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Optional Module: AI Agents for Education
  • Understanding AI Agents
  • Case Studies
  • Hands-On Practice with AI Agents
 
AI Tools and Hands-on Experience
  • Exploring AI Tools
  • Practical Exercises
  • Evaluating AI Tool Effectiveness
 
AI-Enhanced Assessment and Feedback
  • Revolutionizing Assessments
  • Automated Grading Systems
  • Personalized Learning Paths
 
Data Literacy and AI
  • Fundamentals of Data Literacy
  • Data Analysis in Education
  • Data-Driven Decision Making
 
AI for Administrative Efficiency
  • Streamlining Operations
  • AI for Student Services
  • Data Management and Analysis

Prerequisites

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Educational Background: Basic understanding of educational theories and practices.Technology Engagement: Familiarity with digital tools and educational technology.Curriculum Development: Some experience in lesson planning and curriculum designAI Curiosity: Interest in the potential and application of AI in education.

    Who Should Attend

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    • AI Engineer
    • Business Managers
    • Educators
    • Data Analyst
    • Curriculum Designer

    Next Step Courses

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