Course Overview
This course provides instructional designers with an in-depth understanding of how artificial intelligence (AI) is transforming learning and development (L&D). Participants will explore key AI tools, techniques, and applications for content creation, personalized learning, automatic evaluation, and gamification. The course will also cover emerging roles for instructional designers in an AI-driven world.
Course Sturcture
- Duration: 5 Modules (Each 10-12 minutes)
- Mode: Self-paced / Instructor-led
- Level: Intermediate to Advanced
- Assessment: Quizzes, Assignments, and Case Studies
Course Assessment:
Final Project
- Design an AI-enabled learning experience using at least one AI tool (e.g., ChatGPT, an AI quiz generator, or an adaptive learning path).
Case Study Submission
- Submit a reflection on how AI can be integrated into an existing instructional design project.
Certificate of Completion
- Participants who successfully complete the course will receive a certificate.
Learning Objectives
- Understand the definition and core concepts of AI.
- Identify the role of AI in the L&D ecosystem.
- Recognize the benefits and challenges of adopting AI in instructional design.
Key Topics
- What is AI?
- Definition and key concepts (Machine Learning, Natural Language Processing, etc.)
- AI in the L&D Landscape
- How AI is used in corporate training, higher education, and eLearning
- Current trends in AI for instructional design
- Benefits and Challenges
- Opportunities for instructional designers
- Ethical considerations and limitations of AI in L&D
- Case Studies and Real-World Examples
- Success stories of AI-driven learning interventions
Activities
- Reflective exercise: Identify current L&D tasks where AI could provide support or automation.
- Quiz: Key concepts of AI and its applications in L&D.
Learning Objectives
- Understand how ChatGPT can support content creation.
- Utilize ChatGPT for idea generation, course outlines, and script writing.
- Recognize limitations and ethical considerations when using AI chatbots.
Key Topics
- Overview of ChatGPT and AI Language Models
- What is ChatGPT, and how does it work?
- Applications of ChatGPT in Instructional Design
- Writing learning objectives, course outlines, and assessments
- Crafting interactive scripts and scenario-based learning content
- Best Practices for Using ChatGPT
- How to prompt ChatGPT effectively
- Limitations and ensuring accuracy in AI-generated content
- Ethical Considerations
- Plagiarism, content ownership, and accountability in AI-generated content
Activities
- Hands-on Practice: Use ChatGPT to create a mini-course outline and write learning objectives.
- Quiz: Best practices and ethical considerations when using ChatGPT for instructional design.
Learning Objectives
- Understand how AI can be used to automate learner assessments.
- Design AI-enabled formative and summative evaluations.
- Explore AI-driven feedback mechanisms for learner improvement.
Key Topics
- What is AI-Powered Evaluation?
- Definition and key principles of AI-based assessment tools
- Applications of AI in Evaluation
- Automated quiz generation
- AI-powered grading and feedback systems
- AI-driven peer review and reflection prompts
- How AI Enhances Learner Feedback
- Real-time performance tracking and immediate feedback loops
- Personalized feedback and adaptive learning paths
- Challenges and Ethical Considerations
- Data privacy, transparency, and bias in AI-driven assessment
Activities
- Use an AI-based quiz tool to create an automated quiz for a sample course.
- Quiz: How AI supports assessment and feedback.
Learning Objectives
- Design personalized learning experiences using AI.
- Apply AI techniques for learner profiling and path customization.
- Leverage AI for gamification in instructional design.
Key Topics
- What is Personalized Learning?
- Definition and significance of personalized learning
- AI Tools for Personalized Learning
- How AI customizes learning paths and content recommendations
- Gamification and AI
- Gamification principles and AI-driven gamification strategies
- Tools for creating AI-driven game-based learning experiences
- Case Studies and Real-World Examples
- Examples of AI-driven personalized learning journeys
- Success stories of gamification using AI in L&D
Activities
- Case Study: Design a learner journey using an AI tool for path customization.
- Quiz: Concepts of personalized learning and gamification.
Learning Objectives
- Identify emerging roles and skills required for instructional designers in an AI-driven world.
- Explore how instructional designers can future-proof their careers.
- Develop strategies to position oneself as an AI-savvy instructional designer.
Key Topics
- Emerging Roles for Instructional Designers
- AI Content Curator
- Learning Experience Designer (LX Designer) with AI expertise
- AI-Driven Learning Analyst
- Key Skills for the Future
- Technical skills (AI tools, data analysis, etc.)
- Critical thinking, ethical reasoning, and adaptability
- How to Stay Relevant in the AI Era
- Continuous learning and professional development
- Certifications and training programs for AI in instructional design
- Case Studies and Real-World Examples
- Profiles of successful instructional designers who adapted to AI-driven roles
Activities
- Self-assessment: Map your current skills to future AI-driven roles in instructional design.
- Quiz: Identify skills and roles for instructional designers in the AI era.
About Instructor
Ankita is a seasoned Instructional Designer with a deep-seated passion for creating engaging and impactful eLearning courses. Over the years, she has amassed a wealth of experience designing and developing educational programs catering to diverse audiences, ranging from K-12 students to professionals in corporate compliance training. Her expertise spans a variety of instructional design strategies, including gamification, microlearning, and scenario-based learning, ensuring that each course is not only informative but also highly interactive and enjoyable.
About Instructor
As a founding member of LXD Guild, I collaborate with professionals in learning and development to create impactful learning experiences. With a background in business analysis, data analysis, and learning design, I have led initiatives at Thomson Reuters and ServiceNow to enhance learning outcomes. My goal is to empower learners and professionals to reach their full potential.
