A dual-mode grade prediction architecture for identifying at-risk students

• Main Authors: Qiu, Wei, Khong, Andy Wai Hoong, Supraja, S., Tang, Wenyin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; At-risk detection; Dashboard deployment; False alarm suppression; Grade prediction; Long short-term memory; Weighted loss
• Online Access: https://hdl.handle.net/10356/175887
• Institution: Nanyang Technological University

Predicting student performance in an academic institution is important for detecting at-risk students and to administer early intervention strategies. In this article, we develop a new architecture that achieves grade prediction based only on grades achieved over past semesters. Our proposed archite...