Toward better grade prediction via A2GP - an academic achievement inspired predictive model

Toward better grade prediction via A2GP - an academic achievement inspired predictive model

Predicting student performance in an academic institution is important for detecting at-risk students and administering early-intervention strategies. We propose a new grade prediction model that considers three factors: temporal dynamics of prior courses across previous semesters, short-term perfor...

Full description

Bibliographic Details
Main Authors: Qiu, Wei, Supraja, S., Khong, Andy Wai Hoong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Grade Prediction
Machine Learning
Attention Mechanism
Long Short-Term Memory Network
Graph Convolutional Network
Online Access:https://hdl.handle.net/10356/165580
https://educationaldatamining.org/edm2022/proceedings/

Internet

https://hdl.handle.net/10356/165580
https://educationaldatamining.org/edm2022/proceedings/

Similar Items