Buchumschlag

Towards An Online Incremental Approach to Predict Students Performance

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Labba, Chahrazed, Boyer, Anne
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computers and Society Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A Frugal Model for Accurate Early Student Failure Prediction
von: Gagaoua, Ikram, et al.
Veröffentlicht: (2025)

A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective
von: Moubayed, Abdallah, et al.
Veröffentlicht: (2024)

A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
von: Trask, Thomas, et al.
Veröffentlicht: (2024)

Feature Engineering on LMS Data to Optimize Student Performance Prediction
von: Hubbard, Keith, et al.
Veröffentlicht: (2025)

Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction
von: Chen, Yawen, et al.
Veröffentlicht: (2025)

Accurate Multi-Category Student Performance Forecasting at Early Stages of Online Education Using Neural Networks
von: Junejo, Naveed Ur Rehman, et al.
Veröffentlicht: (2024)

The Stability of Online Algorithms in Performative Prediction
von: Farina, Gabriele, et al.
Veröffentlicht: (2026)

Improvement of Applicability in Student Performance Prediction Based on Transfer Learning
von: Zhao, Yan
Veröffentlicht: (2024)

Evaluation of Machine Learning Models in Student Academic Performance Prediction
von: Sandeepa, A. G. R., et al.
Veröffentlicht: (2025)

Centralized vs. Federated Learning for Educational Data Mining: A Comparative Study on Student Performance Prediction with SAEB Microdata
von: Tertulino, Rodrigo
Veröffentlicht: (2025)

Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
von: Švábenský, Valdemar, et al.
Veröffentlicht: (2024)

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
von: Cheng, Jiabei, et al.
Veröffentlicht: (2025)

Predicting and Understanding College Student Mental Health with Interpretable Machine Learning
von: Chowdhury, Meghna Roy, et al.
Veröffentlicht: (2025)

Ordinal Behavior Classification of Student Online Course Interactions
von: Trask, Thomas
Veröffentlicht: (2024)

Limits to Predicting Online Speech Using Large Language Models
von: Remeli, Mina, et al.
Veröffentlicht: (2024)

Research on Education Big Data for Students Academic Performance Analysis based on Machine Learning
von: Wang, Chun, et al.
Veröffentlicht: (2024)

Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
von: Du, Ruijie, et al.
Veröffentlicht: (2024)

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
von: Tertulino, Rodrigo, et al.
Veröffentlicht: (2025)

Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach
von: Wang, Xiaoyang, et al.
Veröffentlicht: (2025)

ClickTree: A Tree-based Method for Predicting Math Students' Performance Based on Clickstream Data
von: Rohani, Narjes, et al.
Veröffentlicht: (2024)

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
von: Swamy, Vinitra, et al.
Veröffentlicht: (2024)

Towards Modeling Learner Performance with Large Language Models
von: Neshaei, Seyed Parsa, et al.
Veröffentlicht: (2024)

Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
von: Tertulino, Rodrigo, et al.
Veröffentlicht: (2025)

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
von: Gado, Elena Grazia, et al.
Veröffentlicht: (2024)

SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
von: Scarlatos, Alexander, et al.
Veröffentlicht: (2025)

Quantifying Holistic Review: A Multi-Modal Approach to College Admissions Prediction
von: Zeng, Jun-Wei, et al.
Veröffentlicht: (2025)

Predictive Performance Comparison of Decision Policies Under Confounding
von: Guerdan, Luke, et al.
Veröffentlicht: (2024)

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
von: Ahmed, Md Sabbir, et al.
Veröffentlicht: (2025)

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
von: Wang, Yuqing, et al.
Veröffentlicht: (2024)

Towards Human-AI Complementarity with Prediction Sets
von: De Toni, Giovanni, et al.
Veröffentlicht: (2024)

Characterizing, Detecting, and Predicting Online Ban Evasion
von: Niverthi, Manoj, et al.
Veröffentlicht: (2022)

Addressing Polarization and Unfairness in Performative Prediction
von: Jin, Kun, et al.
Veröffentlicht: (2024)

Revisiting the Predictability of Performative, Social Events
von: Perdomo, Juan C.
Veröffentlicht: (2025)

AI-Driven Strategies for Reducing Student Withdrawal -- A Study of EMU Student Stopout
von: Zhao, Yan, et al.
Veröffentlicht: (2024)

Secure and Confidential Certificates of Online Fairness
von: Franzese, Olive, et al.
Veröffentlicht: (2024)

Cluster Model for parsimonious selection of variables and enhancing Students Employability Prediction
von: Thakar, Pooja, et al.
Veröffentlicht: (2024)

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial
von: Yang, Fulai, et al.
Veröffentlicht: (2024)

Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
von: Li, Xiangpeng, et al.
Veröffentlicht: (2024)

Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
von: Zanna, Khadija, et al.
Veröffentlicht: (2024)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
von: Chu, Yun-Wei, et al.
Veröffentlicht: (2022)