MPathic-VR™ Technology

Engaging, Adaptive, Personalization-at-Scale

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Detects verbal and non-verbal behavior.

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Determines user’s state and real-time responses

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System Adapts with each successive user encounter

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Computer Vision and AI Enable Personalized Feedback-At-Scale

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Here is where MPathic-VR™ provides individualized feedback about things learners did well, and other things that could have been better. The Feedback provided is designed to facilitate learning at a deep level and transfer of knowledge to other contexts.

REFERENCES

Kolb AY, Kolb DA (2005) Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of Management Learning & Education 4(2): 193–212.

Using multimedia for e‐learning. Journal of computer assisted learning. 2017 Sep;33(5):403-23.

VIEW THE DEMO, PUBLICATIONS & CITATIONS

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DEMO

PUBLICATIONS & CITATIONS

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