Benefits

The Applied AI for Educators program is integrated into Education Technology and Instructional Design programs, particularly at the Bachelor's, Master's, and Doctorate levels.

Enhanced Teaching Efficiency
Personalized Learning
Hands-On AI Application
AI-Driven Future-Ready Skills

Program in detail

Applied AI for Educators equips teachers and trainers with AI tools to enhance teaching, personalize learning, and automate assessments, improving engagement and efficiency in education.

Course Objectives

By the end of this course, participants will:

  • Understand AI’s role in modern education.
  • Learn how AI enhances teaching, learning, and assessment.
  • Gain hands-on experience with AI-powered educational tools.
  • Develop an AI strategy for their classroom, institution, or online learning platform.
Week 1: Introduction to AI in Education
 Topics Covered
  • What is AI? Overview of Machine Learning, NLP, and Generative AI in education.
  • AI trends in education: Personalized learning, automation, and intelligent tutoring.
  • Ethical considerations: Bias, accessibility, and responsible AI use in teaching.
  • Case studies: AI-driven education models (Khan Academy, Coursera, Duolingo).
Practical Exercise
  • Explore AI-powered education tools (ChatGPT, Google Bard, IBM Watson, Quizizz).
  • Identify key areas where AI can be integrated into your teaching.
Key Takeaways
  • Understanding AI’s role in education.
  • Identifying ethical challenges and AI limitations in classrooms.
Week 2: AI for Personalized Learning & Adaptive Teaching
Topics Covered
  • AI in adaptive learning platforms (Knewton, Smart Sparrow).
  • AI-powered recommendation systems for personalized lesson planning.
  • AI for differentiated instruction (supporting diverse learning needs).
  • Case Study: AI-driven personalized learning in higher education.
Practical Exercise
  • Use an AI tool to generate personalized lesson recommendations.
  • Analyze student performance data using AI to identify learning gaps.
Key Takeaways
  • How AI supports individualized learning paths.
  • Using AI for student progress tracking.
Week 3: AI for Student Engagement & Gamification
Topics Covered
  • AI-driven chatbots and virtual teaching assistants (Google Assistant, Edubots).
  • AI-powered gamification for engagement (Kahoot!, Duolingo AI).
  • AI-generated interactive simulations & VR in education.
  • Case Study: AI-enhanced student engagement strategies.
Practical Exercise
  • Develop an AI-powered chatbot for student FAQs.
  • Implement AI gamification in a lesson.
Key Takeaways
  • How AI enhances engagement in online and physical classrooms.
  • Using AI chatbots to support student learning.
Week 4: AI for Assessment & Automated Grading
Topics Covered
  • AI in automated grading and feedback (Turnitin, Gradescope).
  • AI-powered plagiarism detection and academic integrity.
  • AI-generated question banks and assessments.
  • Case Study: AI for formative and summative assessments.
Practical Exercise
  • Use an AI grading tool to evaluate sample assignments.
  • Develop an AI-generated question bank.
Key Takeaways
  • How AI automates assessment and reduces educator workload.
  • Using AI for fair and unbiased evaluations.
Week 5: AI for Educational Content Creation
Topics Covered
  • AI-generated lesson plans, slides, and study materials.
  • AI-powered language translation for multilingual classrooms.
  • AI in video and audio content creation (Synthesia, Descript).
  • Case Study: AI-driven content generation for online learning.
Practical Exercise
  • Use AI to generate a lesson plan and teaching materials.
  • Create an AI-narrated educational video.
Key Takeaways
  • How AI simplifies content creation.
  • Exploring AI-driven multimedia learning resources.
Week 6: AI for Institutional Management & Future Trends
Topics Covered
  • AI-driven student retention and dropout prediction.
  • AI-powered scheduling and resource optimization.
  • The future of AI in education: Metaverse, Blockchain, and AI tutors.
  • Case Study: AI in administrative decision-making.
Practical Exercise
  • Develop an AI-enhanced strategy for your institution.
  • Present an AI-powered improvement plan for an educational process.
Key Takeaways
  • Using AI for institutional efficiency.
  • Understanding the long-term impact of AI in education.
Final Project: AI-Enhanced Teaching Strategy
  • Participants will create a lesson, assessment, or administrative workflow using AI.
  • The project integrates AI tools for engagement, personalization, and automation.
Recommended Tools & Resources
AI Tools for Education:
  • Lesson Planning & Teaching: ChatGPT, Canva AI, Knewton
  • Assessments & Feedback: Gradescope, Turnitin, Google AI Quiz Generator
  • Student Engagement: Kahoot!, Duolingo AI, Edubots
  • Content Creation: Synthesia (AI video), Descript (AI audio), Google Translate AI
Books:
  • Artificial Intelligence in Education by Wayne Holmes
  • The AI Classroom: The Ultimate Guide to Artificial Intelligence in Education by Daniel Fitzpatrick
Online Learning Platforms:
  • SIMI Swiss LMS
  • SIMI Swiss eLearning Portal

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