AI and Learning Analytics

Project Name

AI and Learning Analytics

Project Description

Learning analytics systems leverage various types of data to gain insights into students' learning processes. They play a crucial role in identifying at-risk students and facilitating early, individualized intervention strategies. Traditional systems rely on Learning Management Systems and engagement data. This project aims to incorporate AI to additionally consider emotional states through multimodal data such as chat text, facial expressions, biometric sensor data, and voice recognition.

Project Members

Project Leader:  Purwanto, Erick direction-sign.png (Department of Computing, School of Advanced Technology, XJTLU)

Project Members: 

Project Outcome

RA Recruitment Information

Recruitment

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Updated on 28 June 2024, 8:18 PM; 330 page visits from 10 January 2024 to 23 November 2024