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ProMind Live AI Tutor Demo | Training / Assessment in AI era

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Key takeaways

Technology

Speaker Intro / Product Concept (ProMind Live AI Tutor Demo)

  • Raja Jamal demonstrates a feature of ProMind: interactive tutors.
  • The video highlights that ProMind:
    • Dynamically generates programs/courses based on the learner’s requirements.
    • Evolves content according to the learner’s profile.
  • The demo is framed within an AI-era training/assessment workflow.

Educational Demo: Dijkstra’s (“Dystra’s”) Algorithm Interactive Tutorial

  • A tutor teaches discrete mathematics, specifically Dijkstra’s shortest path algorithm.
  • Learning is driven by guided questions where the learner must choose the next node to finalize.
  • The interaction follows a core rule:

At each step, finalize the unvisited node with the smallest tentative distance, then relax outgoing edges.

  • The learner answers step-by-step (A → C → B → D → E → F), with instant feedback when an incorrect choice is made (e.g., selecting D too early).
  • A specific correction is emphasized:
    • Even though D was finalized earlier, the tutor clarifies that the learner must finalize B before D.
    • At the decision point, B has a tentative distance of 3, while D has 10.
  • Near the end, the tutor has the learner restate the reasoning behind why the algorithm selects the node with the smallest total tentative distance—not just the cheapest single edge.

Example Clarifying “Total Tentative Distance” vs. “Cheapest Edge”

  • The direct edge A → B has weight 4.
  • But the two-hop route A → C → B costs 2 + 1 = 3.
  • This demonstrates that relying on the cheapest edge alone leads to incorrect intuition.

Other Interactive Formats Mentioned (Feature Set)

ProMind supports multiple dynamically generated learning and interactivity types, including:

  • AR experiences
  • VR experiences
  • 2D and 3D games
  • Traditional MCQs (multiple-choice questions)
  • Conversational-style interactions

These experiences are described as being built on a platform that records and builds a learning profile of the learner.

Main Speaker / Source

  • Raja Jamal (demo presenter)

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