Research Based Frameworks used by SkillZen
It’s not just AI that makes SkillZen powerful. It’s how the AI is trained to think like a
Learning Science
Concepts with
Real-World Insight
and How SkillZen
Applies it
Merrill’s First Principles of Instruction
Real-World Insight
- Learning is promoted when learners are engaged in solving real-world problems.
How SkillZen Applies It
- Uses real job scenarios and enterprise policies as input for AI-generated courses.
Dual Coding Theory (Paivio)
Real-World Insight
- Visual + verbal together boost retention by over 60%
How SkillZen Applies It
- Courses are auto-built with text, images, diagrams, and voiceovers for dual input.
Self-Determination Theory
Real-World Insight
- Autonomy, mastery, and purpose drive intrinsic learning motivation.
How SkillZen Applies It
- Learners choose pace, see mastery levels (Bronze → Gold), and track their growth.
Knowledge Tracing (Bayesian Models)
Real-World Insight
- Learner behaviour can predict future performance and personalize future content.
How SkillZen Applies It
- Built-in analytics adapt course sequencing based on attempts and drop-offs.
Cognitive Apprenticeship Model
Real-World Insight
- Best learning happens when thinking is made visible via modelling and coaching.
How SkillZen Applies It
- Role-based modules simulate mentorship and domain-specific knowledge flows.
Spacing Effect
Real-World Insight
- Repetition over time beats cramming.
How SkillZen Applies It
- SkillZen’s micro-courses include spaced revision check-ins and quiz loops.
Pedagogical Methodology
Adaptive Personalization
SkillZen uses learner behavior, scores, and history to tailor content flow, quiz difficulty, and recommendations.
Bloom’s Taxonomy
Courses are structured across all six levels, from basic recall to advanced creation, ensuring deeper learning progression.
Cognitive Load
Management
Content is broken into small, logical chunks to avoid overload and improve retention.
Constructivism
Learners engage with enterprise-inspired, scenario-based content and role-specific assessments.
Mastery-Based Learning
Progress is outcome-driven; learners advance only after meeting defined benchmarks, with retry options available.
Microlearning
Modules are concise (5–7 mins), AI-curated, and designed to boost focus and memory.
Multimodal Learning
Courses blend text, visuals, audio, and interactivity to suit varied learning preferences.
Spaced Repetition
Timed revision questions and auto-generated checkpoints help reinforce long-term memory.
What Kind of Courses Can Be Generated?
Perfect for –
