Introduction (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Students often learn a huge chunks of information in the limited amount of time, sometimes a day before the exam which is not effective for the long term memorization. Ebbinghaus was the first person to express forgetting curve in 1880. Spaced repetition, memorizing material with some intervals, has a positive effect on the information retention. One possibility for performing spaced repetition is an e-learning environment. In this environment agent will change material and present them to the students which would be based on personal preferences.
- Motivation and Problem Description
- Research Questions and Objectives
- Scope
0
1
Tags
Data Science
Related
Introduction (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Reference (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Background and Related Work (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Method and Experiments (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Results (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Discussions (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Learn After
Motivation and Problem Description (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Scope (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Research Question and Objectives (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)