AP-420
AI+ Learning & Development
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Price:
Duration:
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1 Day
Prerequisites
• A basic understanding of artificial intelligence concepts and terminologies
• Proficiency in using digital tools and platforms for educational purposes
• Familiarity with learning theories and instructional design principles
• Some experience in educational or training roles, such as teaching, content development, or instructional design
• A willingness to engage with technical subjects and apply AI technologies in the context of learning and development.
What you’ll learn in this course
The AI+ Learning & Development certification offers a comprehensive examination of AI's transformative capabilities within educational settings. Through a series of modules encompassing Machine Learning, Natural Language Processing, Ethical considerations, and Emerging Trends, participants acquire a profound comprehension of AI fundamentals and their practical implications.
Participants will learn to design adaptive learning systems and navigate ethical dilemmas, fostering responsible implementation of AI solutions. The course culminates in a capstone project, enabling learners to tackle real-world educational challenges with their acquired knowledge. By the course's conclusion, participants are empowered to spearhead innovation and elevate learning outcomes using AI-driven strategies
Course Objectives
• Master adaptive learning systems and predictive analytics for tailored educational experiences, including automated grading systems.
• Discover how AI revolutionizes content creation by generating diverse learning materials that cater to individual learning styles and improve engagement.
• Address ethical challenges such as data governance and bias reduction, ensuring responsible AI integration in educational settings.
• Develop skills to strategically implement AI tools, evaluate their impact on learning outcomes, and foster continuous improvement in educational practices.
Course Outline
Module 1: Introduction to Artificial Intelligence (AI) in Education
• 1.1 Overview of Artificial Intelligence
• 1.2 AI's Role in Education and Training
• 1.3 Impact of AI on Educational Content Creation
• 1.4 AI in Assessment and Feedback
• 1.5 Ethical Considerations and Challenges
Module 2: Machine Learning Fundamentals
• 2.1 Introduction to Machine Learning
• 2.2 Supervised Learning
• 2.3 Unsupervised Learning
• 2.4 Reinforcement Learning
• 2.5 Machine Learning in Practice
Module 3: Natural Language Processing (NLP) for Educational Content
• 3.1 Fundamentals of NLP in Education
• 3.2 Content Analysis and Enhancement
• 3.3 Personalized Learning and Adaptive Content
• 3.4 Assessment and Feedback Automation
Module 4: AI-Driven Content Creation and Curation
• 4.1 AI in Generating Educational Content
• 4.2 Adaptive Learning Materials Creation
• 4.3 Dynamic Assessment Item Generation
• 4.4 Curating Educational Resources
• 4.5 Challenges and Ethical Considerations in AI-Driven Content
Module 5: Adaptive Learning Systems
• 5.1 Foundations of Adaptive Learning
• 5.2 Designing Adaptive Learning Systems
• 5.3 Implementation Strategies
• 5.4 Assessment and Evaluation in Adaptive Systems
• 5.5 Ethical and Privacy Considerations
Module 6: Ethics and Bias in AI for L&D
• 6.1 Understanding AI Ethics in L&D
• 6.2 Privacy Concerns in AI-Driven L&D
• 6.3 Bias and Fairness in AI Assessments
• 6.4 Ethical AI Use and Learner Engagement
• 6.5 Future Challenges and Opportunities
Module 7: Emerging Technologies and Future Trends
• 7.1 Augmented Reality (AR) in Education
• 7.2 Virtual Reality (VR) in Learning Environments
• 7.3 AI-Driven Personalized Learning
• 7.4 Blockchain in Education
• 7.5 Emerging AI Technologies in Educational Research and Development
Module 8: Implementation and Best Practices
• 8.1 Strategic Planning for AI Integration
• 8.2 Selecting the Right AI Tools
• 8.3 Implementing AI Solutions
• 8.4 Monitoring and Evaluating Impact
• 8.5 Ethical Use and Data Governance
Further information
If you would like to know more about this course please contact us
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