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
Understand the Use-case under 5 minutes
Video (5 minutes)
How AI is used to understand each students abilities and gaps, and tailor content and learning experiences accordingly
Watch
Article (5 minutes)
In this blog you will learn about the concept of Personalized Learning and how technological advances in AI might influence the future of learning.
Visit
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Article (11 minutes)
An AI-based education optimizes knowledge acquisition, cuts training costs (boosts your ROI), and provides a tailored experience for each learner. Let's see where to start to apply AI personalized learning in your institution.
Read
Video (15 minutes)
Expands on different AI methods used for Adaptive (or Personalized) Learning, companies providing them, pros and cons, and more. Also sheds some light on expected challenges faced upon adoption
Watch
Article (8 minutes)
The psychology of personalization is rooted in an innate desire for control and power of choice. In a learning context, personalization empowers learners to learn at a pace that suits them supporting personalized learning paths
VisitCase studies, Organizational Aspects, Return on Investment examples
Case Study (6 minutes)
K–8 students see 1.25 grade levels of growth in dreambox during the 2020-21 school year, thanks to personalized learning powered by AI
Read
Case Study (6 minutes)
Interview with Head of Primary Toya Are, Year 3 Leader Nora Adly and Year 5 Teacher Erik Le Roux to find out how they are using CENTURY to enhance their teaching through AI and personalized learning
Read
Case Study (5 minutes)
Teachers at all six elementary schools in Southwest Allen County Schools are finding success with DreamBox. Students are experiencing overall growth on the NWEA MAP assessment and teachers consider DreamBox Learning to be a key component of that success.
VisitMore details on the technical aspects of the use-case
Video (47 minutes)
Funtoot tailors the teaching instructions and leads the learner towards a unique learning trajectory. Know how it understands the student's cognitive and affective states are used to design the student's personalized learning path.
Watch
Video (18 minutes)
See how AI is used to diagnose students and recommend content and instructional sets for students in real-time and how to use SimStudent and Apprentice Learner to build enhanced recommendation policies.
Watch
Video (19 minutes)
In this talk you will get to know about Squirrel AI, an AI-based Adaptive Learning system widely adopted in China. Expands on how it works and some of the results achieved so far
Watch
Technical resources that will help you implement the use-case (notebooks, tutorials..)
Github repo + paper+ Dataset
Code introduced in RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions, AI4EDU workshop at IJCAI 2021. Paper here
VisitGithub repo + paper
This is the implementation of our submission in the NeurIPS 2020 Education Challenge. Which aims to make a lasting, real-world impact on the quality of personalized education for millions of students across the world. Paper here
VisitGithub repo
Knowledge tracing is one of the key research areas for empowering personalized education. This repo addresses 2 problems in DKT via Prediction-Consistent Regularization (paper here)
VisitGithub Repo
An interactive system that provides dynamic and adaptive learning to different students by adapting the learning process to the student. This application combines Deep Knowledge Tracing with the Expectimax.
Visit
Paper
This paper presents adaptive learning system architecture, which uses ANN to construct the Learner Model. It automatically models relationships between different concepts in the curriculum and beats knowledge tracing in predicting student performance.
Read
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
Got a Question or a Resource to share with the Community? Please do!
Copyright © 2025 AI Cases. All rights reserved
Session expired
Please log in again. The login page will open in a new tab. After logging in you can close it and return to this page.
