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Home > AI for Education > Personalized Adaptive Learning

Adaptive Learning

The traditional one-size-fits-all educational approach does not make sense in the modern world anymore. AI can support students by analyzing their learning history and suggesting learning patterns they’re most likely to respond to well. With the right data, it can create a complete learner profile to personalize the learning material to a given student. This includes personalization of content, pace, and process of learning

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ROI Examples
Data Needed

1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

More details on the technical aspects of the use-case

3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms


EdNet is the dataset of all student-system interactions collected over 2 years by Santa, a multi-platform AI tutoring service with more than 780K users in Korea available through Android, iOS and web.


Off-the-Shelf Products using AI for Adaptive Learning

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