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...
Saved in:
Main Authors: | Qiu, Wei, Supraja, S., Khong, Andy Wai Hoong |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/165580 https://educationaldatamining.org/edm2022/proceedings/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A dual-mode grade prediction architecture for identifying at-risk students
by: Qiu, Wei, et al.
Published: (2024) -
Short-Term photovoltaic power forecasting based on long short term memory neural network and attention mechanism
by: Zhou, H., et al.
Published: (2021) -
Developing effective optimized machine learning approaches for settlement prediction of shallow foundation
by: Khajehzadeh, Mohammad, et al.
Published: (2024) -
Grade prediction via prior grades and text mining on course descriptions: course outlines and intended learning outcomes
by: Li, Jiawei, et al.
Published: (2024) -
Traffic flow online prediction based on a generative adversarial network with multi-source data
by: Sun, Tuo, et al.
Published: (2022)