Rather than relying on traditional content delivery, this program redefines learning through the lens of intelligent systems, adaptive environments, and human-centered design. By integrating AI, UX principles, and behavioral science, participants will learn to construct immersive experiences that are flexible, engaging, and personalized to diverse learner needs. The course emphasizes measurable impact, emotional resonance, and ethical innovation in next-generation learning.
- Foundations of immersive learning and intelligent design systems
- Learner journey mapping and behavioral UX modeling
- Adaptive learning engines and smart content sequencing
- Cognitive load theory in immersive experience design
- Integrating AR/VR and multimodal learning strategies
- Intelligent feedback systems and AI-driven analytics
- Accessibility, inclusion, and neurodiversity in design
- Ethics, data privacy, and algorithmic fairness
- Evaluating learner experience impact using AI metrics
- Future trends in immersive design and smart learning ecosystems
- Build learner-centered experiences using intelligent design principles
- Use AI tools to map, design, and optimize learning pathways
- Integrate multimodal delivery using immersive and adaptive technologies
- Balance innovation with accessibility and cognitive psychology principles
- Design emotionally intelligent and responsive feedback systems
- Apply data-driven insights to enhance learning outcomes
- Evaluate and iterate immersive experiences using impact analytics
- Embed ethical considerations in the use of intelligent learning systems
Digital learning designers, corporate L&D professionals, EdTech specialists, instructional technologists, academic developers, and strategists who want to apply intelligent systems for impactful, learner-centered design.
Participants engage in design sprints, hands-on labs, AI-assisted simulations, and collaborative prototyping sessions. The methodology merges experiential learning with real-time AI integration, peer feedback, and agile iteration to ensure practical, scalable solutions grounded in cognitive science and learner impact.
- Defining immersive and intelligent learning environments
- Foundations of learner-centered experience design
- Journey mapping and empathy-based design tools
- Introduction to AI-driven learning personalization
- Case study: Intelligent LxD in action
- Workshop: Design your first intelligent learner journey
- Behavioral UX models for adaptive engagement
- Integrating cognitive load theory into immersive experiences
- Emotional intelligence and affective computing in design
- Ethics and equity in intelligent feedback loops
- Prototyping: Behavioral journey redesign using AI inputs
- Peer critique and iteration
- AR/VR/XR and immersive storytelling principles
- Designing for neurodiversity and inclusion
- Creating dynamic branching scenarios using AI
- Tools for multimodal content assembly and AI narration
- Interactive session: Build a 3D or voice-led simulation
- Showcase and reflection
- Defining learner success metrics beyond completion rates
- Using AI to capture, analyze, and interpret learning behavior
- Intelligent dashboards and smart analytics
- Iterative design cycles with feedback optimization
- Workshop: Build a feedback and evaluation engine
- Review of real-time learning analytics use cases
- Architecting scalable smart learning systems
- Ecosystem thinking: connecting tools, people, and processes
- Designing for sustainability and cross-platform delivery
- Leadership roles in intelligent design transformation
- Capstone project: Present your strategic intelligent design blueprint
- Graduation, peer feedback & action planning
Group & Corporate Discounts: Available for companies enrolling multiple participants to help maximize ROI. Individual Discounts: Offered to self-sponsored participants who pay in full and upfront. Registration Process: Corporate nominations must go through the client’s HR or Training department. Self-nominations must be prepaid via the “payment by self” option. Confirmation: All registrations are subject to DIXONTECH’s approval and seat availability. Refunds: Provided in case of course cancellation or no seat availability. Tax Responsibility: Clients are responsible for any local taxes in their country.