Earliest Possible Global and Local Interpretation of Students’ Performance in Virtual Learning Environment by Leveraging Explainable AI

Earliest Possible Global and Local Interpretation of Students’ Performance in Virtual Learning Environment by Leveraging Explainable AI

In this research study, we propose an Explainable Artificial Intelligence (XAI) model that provides the earliest possible global and local interpretation of students’ performance at various stages of course length. Global and local interpretation is provided in such a way that the predict...

Full description

Bibliographic Details
Main Authors: Muhammad Adnan, M. Irfan Uddin, Emel Khan, Fahd S. Alharithi, Samina Amin, Ahmad A. Alzahrani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Global explainability
local explainability
explainable AI
course length
decision making
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/9970711/

Internet

https://ieeexplore.ieee.org/document/9970711/

Similar Items