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Academic Research & Learning Sciences

Original price was: ₹20,000.00.Current price is: ₹15,000.00.

What Will I Learn?
  • Deconstruct how immediate generative AI outputs bypass human cognitive friction and widen the novice-expert skill gap.
  • Master the operational application of Vadagam’s Unified Meta-Learning Theory across its four core loops: Repetition, Imitation, Imagination, and Experimentation.
  • Map student interaction workflows second-by-second to isolate and track where machine automation eliminates metacognitive struggle.
  • Engineer multi-branch Socratic prompt architectures that transform AI tools from automated answer engines into learning mentors.
  • Formulate plug-and-play, process-first assessment toolkits for classrooms that stay completely resilient against AI shortcuts and generative cheating.
  • Build a publication-ready research portfolio comprising an empirical gap audit, an algorithmic logic model, and an institutional governance plan.


Target Audience
    • 10+2,Undergraduate or postgraduate students majoring in Cognitive Science, Learning Sciences, or Educational Technology.
    • Aspiring EdTech Product Managers and UX Researchers looking to build human-centered, learning-focused AI interfaces.
    • Curriculum Designers and Educational Policymakers wanting to build alternative, process-oriented assessment rubrics resilient to AI cheating.
    • Academic Researchers investigating the societal, psychological, and systemic impacts of human-AI collaboration.


Total Course Duration
    • 90 hour(s) (Calculated assuming an intensive commit of 15 hours per week across the 6-week program duration)


Materials Included
    • Complete Syllabus Guide & Source Bibliography for ODEFTO Labs Research Studies.
    • Step-by-Step Cognitive Load & Friction Mapping Video Analysis Workbook.
    • Plug-and-Play “Process-First” Educator Evaluation Templates and Rubric Generators.
    • Socratic Dialogue Interface Blueprints and Multi-Branch Token Prompting Trees.
    • Capstone Academic Whitepaper Design Checklist and Peer-Review Structural Template.


Requirements/Instructions
  • Must possess a foundational understanding of basic cognitive learning concepts or psychology principles.
  • Must demonstrate strong analytical reading skills and the ability to construct clear, written academic arguments.
  • Requires prior regular user experience with conversational AI models such as ChatGPT, Claude, or Gemini.
  • Must have access to a personal computer with a reliable high-speed internet connection for research data collection.
  • Must commit to a minimum of 15 to 20 hours per week of dedicated independent and collaborative research over the 6-week timeframe.

Description

Overview:
This intensive 6-week research program bridges cognitive science and artificial intelligence by operationalising ODEFTO Learning Labs work with Academic Research & Learning Sciences Intership Program. Moving away from the superficial view of AI as a simple shortcut, this course provides a deep structural framework to analyze how current generative tools strip away the critical “desirable difficulties” essential to human learning. Through a rigorous blend of cognitive mapping, empirical behavioral analysis, and structural systems design, students will transition from passive software prompt vermin to active architects of next-generation pedagogy. Participants will research the widening novice-expert skill gap, design process-oriented evaluation rubrics that turn artificial intelligence into an agent of cognitive growth rather than a replacement brain.

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