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AI+ Educator Practitioner™

Course code: NPAP410

Formerly known as AI+ Educator™

Future-Proof Your Career with AI+ Educator’s Practitioner™ Cutting-Edge Certification

  • Empower Educators: Centred on AI-driven curriculum design and meaningful classroom transformation.
  • Skill Development: Blends foundational AI concepts with advanced tools tailored for educational settings.
  • Practical Tools: Develop skills in data analysis, ethical AI promotion, and personalised learning design.
  • Future Trends: Stay current with emerging teaching strategies and evolving AI integration in education.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

Ethical Decision-Making Skills

Students will learn to identify and address ethical, bias, and sustainability issues in AI education. This includes critically analyzing AI systems, promoting fairness, transparency, and accountability, and advocating for the ethical use of AI in educational settings.

Curriculum Integration and Instructional Design

Students will learn to integrate AI technologies into the educational curriculum by aligning AI-based resources and activities with learning objectives, creating engaging and interactive experiences, fostering computational thinking and problem-solving skills through AI.

Data Literacy and Analysis for Educational Insights

Participants will gain data literacy and analysis abilities needed to use AI in education. This involves AI tools to collect, analyse and understand educational data, extract valuable insights to influence decision-making, and tailor learning experiences depending on student performance and needs.

Problem-Solving with AI Tools

Students will receive practical experience with several AI tools and platforms, which includes administrative operations, and assessment and feedback. This practical experience will help in using AI to solve educational problems.

Course structure

Module 1: Fundamentals of AI for Educators

  • 1.1 Understanding Artificial Intelligence
  • 1.2 AI in Modern Education
  • 1.3 Case Studies

Module 2: Prompt Engineering and AI Productivity for Educators

  • 2.1 Fundamentals of Prompt Engineering
  • 2.2 Prompting Techniques for Education
  • 2.3 AI-Powered Teaching and Academic Productivity
  • 2.4 Real-World Case Studies

Module 3: AI-Powered Content Creation and Instructional Design

  • 3.1 AI for Educational Content Creation
  • 3.2 AI for Multimedia Learning Resource Development
  • 3.3 Instructional Design with Artificial Intelligence
  • 3.4 Case Studies

Module 4: AI-Powered Teaching, Learning and Assessment

  • 4.1 Curriculum Planning with AI
  • 4.2 AI for Assessment and Feedback
  • 4.3 AI for Student Support and Learning Success
  • 4.4 Case Studies

Module 5: AI-Powered Learning Analytics, Student Success, and Decision-Making

  • 5.1 Learning Analytics and Educational Data
  • 5.2 AI for Student Success and Academic Intervention
  • 5.3 Academic Analytics and Institutional Decision Support
  • 5.4 Case Studies

Module 6: Responsible AI, Ethics, Privacy, and Governance in Education

  • 6.1 Responsible AI in Education
  • 6.2 Privacy, Security, and Academic Integrity
  • 6.3 AI Governance and Policy Development
  • 6.4 Case Studies

Module 7: AI Implementation, Educational Innovation, and Institutional Transformation

  • 7.1 AI Implementation in Educational Institutions
  • 7.2 AI Innovation and Emerging Educational Technologies
  • 7.3 Evaluating and Selecting AI Tools
  • 7.4 Case Studies

Module 8: Becoming an AI-Enabled Educator: Leadership, Innovation, and Capstone Project

  • 8.1 Becoming an AI-Enabled Educator
  • 8.2 Educational Innovation and Leadership
  • 8.3 Trending AI Applications
  • 8.4 Case Studies
  • 8.5 Capstone Project

Optional Module: AI Agents for Educators

  • 1.1 What Are AI Agents?
  • 1.2 Significance of AI Agents in Education
  • 1.3 Types of AI Agents
  • 1.4 Applications and Trends

Prerequisites

  • A foundational understanding of educational theories and classroom practices.
  • Familiarity with digital tools and commonly used educational technologies.
  • Some prior experience with lesson planning and curriculum development.
  • An interest in the potential and practical application of AI within education.

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