On the public citation graph

A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space

0 signed · 51 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4899-7641-3openalex-snapshot
Machine Learning Models and Algorithms for Big Data Classification
inferredcites →https://doi.org/10.1007/978-981-19-9650-4openalex-snapshot
Case Studies of Information Technology Application in Education
inferredcites →https://doi.org/10.1007/s10489-020-01776-3openalex-snapshot
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
inferredcites →https://doi.org/10.1007/s10639-024-12698-9openalex-snapshot
Feature optimization and machine learning for predicting students’ academic performance in higher education institutions
inferredcites →https://doi.org/10.1007/s11633-021-1312-1openalex-snapshot
Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework
inferredcites →https://doi.org/10.1007/s42979-021-00944-7openalex-snapshot
Computational Intelligence Enabled Student Performance Estimation in the Age of COVID-19
inferredcites →https://doi.org/10.1016/j.eswa.2013.08.042openalex-snapshot
Educational data mining: A survey and a data mining-based analysis of recent works
inferredcites →https://doi.org/10.1016/j.eswa.2018.04.008openalex-snapshot
Dynamic selection of normalization techniques using data complexity measures
inferredcites →https://doi.org/10.1016/j.matpr.2021.07.382openalex-snapshot
Classification and prediction of student performance data using various machine learning algorithms
inferredcites →https://doi.org/10.1016/j.patcog.2023.109309openalex-snapshot
ProbSAP: A comprehensive and high-performance system for student academic performance prediction
inferredcites →https://doi.org/10.1080/03069889800760211openalex-snapshot
Identifying barriers to help-seeking: a qualitative analysis of students' preparedness to seek help from tutors
inferredcites →https://doi.org/10.1080/10494820.2021.1928235openalex-snapshot
Enhancing the prediction of student performance based on the machine learning XGBoost algorithm
inferredcites →https://doi.org/10.1109/access.2020.2981905openalex-snapshot
Using Data Mining Techniques to Predict Student Performance to Support Decision Making in University Admission Systems
inferredcites →https://doi.org/10.1109/access.2021.3124270openalex-snapshot
Predicting and Interpreting Student Performance Using Ensemble Models and Shapley Additive Explanations
inferredcites →https://doi.org/10.1109/access.2022.3151652openalex-snapshot
Analysis and Prediction of Students’ Academic Performance Based on Educational Data Mining
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1146/annurev.soc.012809.102538openalex-snapshot
Achievement Inequality and the Institutional Structure of Educational Systems: A Comparative Perspective
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.17849/insm-47-01-31-39.1openalex-snapshot
Random Forest
inferredcites →https://doi.org/10.18653/v1/2020.eval4nlp-1.9openalex-snapshot
Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models
inferredcites →https://doi.org/10.3390/math10203737openalex-snapshot
A Method for Predicting the Academic Performances of College Students Based on Education System Data
inferredcites →https://doi.org/10.3390/math11153396openalex-snapshot
Multi-Objective Gray Wolf Optimizer with Cost-Sensitive Feature Selection for Predicting Students’ Academic Performance in College English
inferredcites →https://doi.org/10.3390/math11244977openalex-snapshot
Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach
inferredcites →https://doi.org/10.3390/su151612531openalex-snapshot
Quantitative Analysis and Prediction of Academic Performance of Students Using Machine Learning
inferredcites →https://doi.org/10.4310/sii.2009.v2.n3.a8openalex-snapshot
Multi-class AdaBoost
inferredcites →https://doi.org/10.46604/peti.2022.9025openalex-snapshot
Evaluation of the Shapley Additive Explanation Technique for Ensemble Learning Methods
inferredcites →https://doi.org/10.5120/ijca2017914696openalex-snapshot
An Appraise of KNN to the Perfection
inferredcites →https://doi.org/10.56230/osotl.18openalex-snapshot
Homework, in-class assignments, and midterm exams
inferredcites →https://doi.org/10.5772/intechopen.87784openalex-snapshot
Data Mining - Methods, Applications and Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-98033-6_21openalex-snapshot
Predicting Students’ Critical Thinking Skills Using Machine Learning: A Comparative Study
inferred← citeshttps://doi.org/10.1007/978-3-032-11453-2_28openalex-snapshot
Student Performance Modeling Using Stacked Regressor
inferred← citeshttps://doi.org/10.1007/s44163-025-00744-5openalex-snapshot
A multi-dimensional prediction system for students’ academic performance driven by deep learning
inferred← citeshttps://doi.org/10.1007/s44163-026-01418-6openalex-snapshot
Research on the integration of social practice resources in higher education institutions based on deep learning and data mining algorithms
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131659openalex-snapshot
Artificial intelligence for student performance prediction in blended learning: A systematic literature review
inferred← citeshttps://doi.org/10.1038/s41598-025-29892-5openalex-snapshot
The necessity of multimodal feedback for learning effective pedagogical policies with reinforcement learning
inferred← citeshttps://doi.org/10.1038/s41598-025-31215-7openalex-snapshot
Beyond peak accuracy: a stability-centric framework for reliable multimodal student engagement assessment
inferred← citeshttps://doi.org/10.1051/epjconf/202534101033openalex-snapshot
Student Performance Prediction in Learners Centric Approach with Machine Learning
inferred← citeshttps://doi.org/10.1109/access.2025.3564719openalex-snapshot
A Comprehensive Comparative Analysis of Deep Learning Models for Student Performance Prediction in Virtual Learning Environments: Leveraging the OULA Dataset and Advanced Resampling Techniques
inferred← citeshttps://doi.org/10.1109/aidas67696.2025.11213933openalex-snapshot
Identifying Key Factors Influencing Student Achievement Efficiency in Integrated DEA and ML Models Using Shap Analysis
inferred← citeshttps://doi.org/10.1109/aistemedu67077.2025.11403886openalex-snapshot
Explainable AI for Student Assessment and Achievement in the Education System
inferred← citeshttps://doi.org/10.1109/compas67506.2025.11381622openalex-snapshot
Exploring the Foundations of Academic Excellence: Advanced Data-Driven Approaches to Student Outcome Prediction
inferred← citeshttps://doi.org/10.1109/isbdas69350.2026.11484822openalex-snapshot
A Precise Prediction Method for Competitive Athletes’ Specialized Performance Based on MultiDimensional Training Data Fusion
inferred← citeshttps://doi.org/10.1145/3795154.3795382openalex-snapshot
Multi-Dimensional Evaluation System for Employee Turnover Risk Based on XGBoost and SHAP Explainability Analysis
inferred← citeshttps://doi.org/10.1371/journal.pone.0328634openalex-snapshot
Predicting student academic performance using TabPFN and SHAP: An interpretable machine learning approach
inferred← citeshttps://doi.org/10.31455/asya.1919608openalex-snapshot
Matematik Eğitiminde Ölçme ve Değerlendirme: Bibliyometrik Bir Bakış Açısıyla Alandaki Mevcut Bilimsel Verimlilik, Kavramsal ve Tematik Ağlar ile Eğilimler
inferred← citeshttps://doi.org/10.3390/educsci15050519openalex-snapshot
Modelling the Interactions Between Resources and Academic Achievement: An Artificial Neural Network Approach
inferred← citeshttps://doi.org/10.4018/979-8-3373-3902-3.ch009openalex-snapshot
Impact of Digital Learning Platforms on Rural Education Through Predictive Analytics and Regression
inferred← citeshttps://doi.org/10.53360/2788-7995-2025-4(20)-22openalex-snapshot
MODELING AND FORECASTING STUDENT PERFORMANCE IN EDUCATIONAL INFORMATION SYSTEMS USING MACHINE LEARNING METHODS
inferred← citeshttps://doi.org/10.54254/2755-2721/2025.tj23210openalex-snapshot
Hybrid Deep Learning Framework for Student Grade Prediction
inferred← citeshttps://doi.org/10.55452/1998-6688-2026-23-2-353-364openalex-snapshot
RESEARCH OF MACHINE LEARNING MODELS FOR PREDICTING STUDENTS’ CRITICAL THINKING SKILLS
inferred← citeshttps://doi.org/10.56177/12icmie2025.148openalex-snapshot
A Systematic Review of Random Forest-Based Decision-Support Systems in Educational Management
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.