On the public citation graph

An explainable AI-based approach for predicting undergraduate students academic performance

0 signed · 76 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/11538059_91openalex-snapshot
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
inferredcites →https://doi.org/10.1007/978-3-030-56485-8openalex-snapshot
Random Forests with R
inferredcites →https://doi.org/10.1007/978-3-031-42134-1_9openalex-snapshot
An Advanced Explainable and Interpretable ML-Based Framework for Educational Data Mining
inferredcites →https://doi.org/10.1007/978-981-13-3309-5_57-1openalex-snapshot
Challenges and Developments in the Higher Education System of Bangladesh
inferredcites →https://doi.org/10.1007/s10115-017-1086-5openalex-snapshot
Predicting high-risk students using Internet access logs
inferredcites →https://doi.org/10.1007/s10758-023-09650-0openalex-snapshot
Informative Feedback and Explainable AI-Based Recommendations to Support Students’ Self-regulation
inferredcites →https://doi.org/10.1007/s40593-023-00331-8openalex-snapshot
Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention
inferredcites →https://doi.org/10.1016/j.array.2021.100067openalex-snapshot
Advanced Persistent Threat attack detection method in cloud computing based on autoencoder and softmax regression algorithm
inferredcites →https://doi.org/10.1016/j.artint.2023.104014openalex-snapshot
A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
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/10.1038/s41598-023-33525-0openalex-snapshot
Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP
inferredcites →https://doi.org/10.1088/1742-6596/1142/1/012012openalex-snapshot
Machine Learning from Theory to Algorithms: An Overview
inferredcites →https://doi.org/10.1109/access.2021.3105956openalex-snapshot
Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model
inferredcites →https://doi.org/10.1109/access.2022.3211070openalex-snapshot
An Explainable Model for Identifying At-Risk Student at Higher Education
inferredcites →https://doi.org/10.1109/access.2022.3227072openalex-snapshot
Earliest Possible Global and Local Interpretation of Students’ Performance in Virtual Learning Environment by Leveraging Explainable AI
inferredcites →https://doi.org/10.1109/aie57029.2022.00024openalex-snapshot
Impact of feature scaling on machine learning models for the diagnosis of diabetes
inferredcites →https://doi.org/10.1109/dese51703.2020.9450735openalex-snapshot
Need for Interpretable Student Performance Prediction
inferredcites →https://doi.org/10.1109/icrest51555.2021.9331003openalex-snapshot
A Web Based Four-Tier Architecture using Reduced Feature Based Neural Network Approach for Prediction of Student Performance
inferredcites →https://doi.org/10.1177/0962280220980484openalex-snapshot
Class imbalance in gradient boosting classification algorithms: Application to experimental stroke data
inferredcites →https://doi.org/10.1186/s41239-020-0177-7openalex-snapshot
Predicting academic success in higher education: literature review and best practices
inferredcites →https://doi.org/10.14569/ijacsa.2020.0110383openalex-snapshot
Predicting Students’ Performance of the Private Universities of Bangladesh using Machine Learning Approaches
inferredcites →https://doi.org/10.15388/infedu.2024.04openalex-snapshot
Enhancing Student Performance Prediction via Educational Data Mining on Academic data
inferredcites →https://doi.org/10.25007/ajnu.v12n2a1612openalex-snapshot
eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
inferredcites →https://doi.org/10.25046/aj050315openalex-snapshot
University Students Result Analysis and Prediction System by Decision Tree Algorithm
inferredcites →https://doi.org/10.32614/cran.package.xgboostopenalex-snapshot
xgboost: Extreme Gradient Boosting
inferredcites →https://doi.org/10.3390/app12041885openalex-snapshot
Week-Wise Student Performance Early Prediction in Virtual Learning Environment Using a Deep Explainable Artificial Intelligence
inferredcites →https://doi.org/10.3390/asi6020032openalex-snapshot
A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome
inferredcites →https://doi.org/10.3390/atmos13122102openalex-snapshot
Prediction and Interpretation of Low-Level Wind Shear Criticality Based on Its Altitude above Runway Level: Application of Bayesian Optimization–Ensemble Learning Classifiers and SHapley Additive exPlanations
inferredcites →https://doi.org/10.3390/info12080286openalex-snapshot
Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests
inferredcites →https://doi.org/10.35940/ijitee.a5292.119119openalex-snapshot
Registration Status Prediction of Students using Machine Learning in the Context of Private University of Bangladesh
inferredcites →https://doi.org/10.3991/ijet.v16i12.20699openalex-snapshot
An Improved Early Student’s Academic Performance Prediction Using Deep Learning
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-snapshot
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.46254/an11.20211237openalex-snapshot
Prediction of Student’s Performance Using Support Vector Machine Classifier
inferredcites →https://doi.org/10.48084/etasr.6345openalex-snapshot
Effective Feature Prediction Models for Student Performance
inferredcites →https://doi.org/10.48550/arxiv.2207.00551openalex-snapshot
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
inferredcites →https://doi.org/10.5281/zenodo.4533373openalex-snapshot
A Comparative Study of Different Machine Learning Techniques to Predict the Result of an Individual Student Using Previous Performances
inferredcites →https://doi.org/10.5281/zenodo.8115692openalex-snapshot
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-12827-0_20openalex-snapshot
A Hybrid XAI Approach to Predict and Interpret Student Outcomes in Education
inferred← citeshttps://doi.org/10.1007/978-981-95-5640-3_27openalex-snapshot
Comparative Analysis Vision of Worldwide AI Courses
inferred← citeshttps://doi.org/10.1007/s11423-026-10642-xopenalex-snapshot
A systematic literature review of practical and explainable AI (XAI) student performance prediction system in higher education institutions
inferred← citeshttps://doi.org/10.1007/s13748-026-00484-2openalex-snapshot
Using artificial intelligence technology to predict and model preschool children’s learning outcomes
inferred← citeshttps://doi.org/10.1007/s44196-026-01316-wopenalex-snapshot
EduFeatOpt: An Educational Exploratory Dual-Mechanism Feature Optimization Framework Based on a Hybrid Swarm–Evolutionary Architecture for Relevance Maximization, Redundancy Suppression, and High-Fidelity Student Performance Prediction
inferred← citeshttps://doi.org/10.1016/j.actpsy.2026.106622openalex-snapshot
Explainable machine learning for sustainable education: Predicting college students' reliance on generative artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.array.2025.100540openalex-snapshot
Applying survival analysis and Explainable Artificial Intelligence to understand academic success in software engineering students
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116158openalex-snapshot
A fuzzy logic-driven machine learning framework for multi-class classification of students academic performance
inferred← citeshttps://doi.org/10.1016/j.procs.2026.06.052openalex-snapshot
Hybrid-PSP: Hybrid Machine Learning Techniques for Predicting Student Performance
inferred← citeshttps://doi.org/10.1016/j.ssaho.2026.103593openalex-snapshot
A review of digital addiction as a predictor in ML-based academic performance prediction
inferred← citeshttps://doi.org/10.1038/s41598-026-56591-6openalex-snapshot
SOD-FE: a supervised outlier detection and feature engineering approach for student dropout prediction
inferred← citeshttps://doi.org/10.1109/access.2026.3723696openalex-snapshot
Student Performance Prediction With Large-Scale xAPI and SIS Data: Feature Importance and Ensemble Comparison
inferred← citeshttps://doi.org/10.1109/compas67506.2025.11381654openalex-snapshot
Explainable AI Framework for Multiclass Attack Classification in Wireless Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/csitss67709.2025.11294003openalex-snapshot
Behavioral Data-Driven Learning Analytics for Early Intervention in At-Risk Students
inferred← citeshttps://doi.org/10.1109/icadaai64945.2026.11679225openalex-snapshot
Adaptive Explainable Framework for Early Prediction of At-Risk Learners using OULAD and Decision Tree Models
inferred← citeshttps://doi.org/10.1109/icadeis71120.2026.11644560openalex-snapshot
Comparative Evaluation of Imbalance-Aware Machine Learning Models for At-Risk Student Detection in Vocational Education
inferred← citeshttps://doi.org/10.1109/iccit68739.2025.11491491openalex-snapshot
Bridging Educational Gaps: Predicting Retakes Among Bangladeshi Undergraduates with Machine Learning and Explainable AI
inferred← citeshttps://doi.org/10.1109/icears67481.2026.11416609openalex-snapshot
Modeling Attendance Signals as Behavioral Indicators for Engagement Prediction in a Machine Learning Environment
inferred← citeshttps://doi.org/10.1109/icetsis68266.2026.11548809openalex-snapshot
Leakage-Aware Explainable AI Framework for ROI Optimization in Distance Learning: A Predictive Modeling and Scenario Simulation Approach
inferred← citeshttps://doi.org/10.1109/icirca69024.2026.11570358openalex-snapshot
A Self-Evolving Cloud Architecture for Academic Result Management with Autonomous Scaling and Deployment Intelligence
inferred← citeshttps://doi.org/10.1109/iciscn67954.2026.11566421openalex-snapshot
Frequency Pattern Growth with Temporal Pattern Mining for the Students Prediction of College Students' Sports Performance
inferred← citeshttps://doi.org/10.1109/icisit66233.2025.11402940openalex-snapshot
Hyperparameter Tuning Comparative Analysis on Student’s Study Completion Dataset with Imbalanced Data Handling
inferred← citeshttps://doi.org/10.1109/ickecs70176.2026.11527656openalex-snapshot
KD-EWS: An Explainable AI Framework for Early Warning and Decision Support in Academic Environments
inferred← citeshttps://doi.org/10.1109/icmlas67792.2026.11483805openalex-snapshot
An Explainable Hybrid Machine Learning Framework for Predicting Agri-Entrepreneurial Readiness Among Agricultural Students
inferred← citeshttps://doi.org/10.1109/iraset68627.2026.11538532openalex-snapshot
Feature Importance Analysis in Student Performance Prediction Using Random Forest and SHAP
inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546503openalex-snapshot
An Interpretable Ensemble Learning Framework for Predicting Academic Performance: Quantifying Social Media's Influence Through Explainable AI
inferred← citeshttps://doi.org/10.1145/3775073.3775168openalex-snapshot
Design and Application of a Homework Behavior Recognition and Personalized Feedback System
inferred← citeshttps://doi.org/10.17860/mersinefd.1739347openalex-snapshot
From Transparency to Trust: A Literature Review on Explainable AI in Educational Systems
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8458923/v1openalex-snapshot
Vietnamese High School Students in the AI Era: Examining the Control Threshold and Knowledge Paradox in Academic Integrity
inferred← citeshttps://doi.org/10.2139/ssrn.6307346openalex-snapshot
Student Academic Performance Modeling with Explainable Adaptive Hybrid Stacked Ensemble Method
inferred← citeshttps://doi.org/10.3389/feduc.2026.1877184openalex-snapshot
Explainable machine learning for early classification of middle school student performance
inferred← citeshttps://doi.org/10.3389/feduc.2026.1878686openalex-snapshot
Towards a fair and transparent early warning system for identifying students at risk of academic failure
inferred← citeshttps://doi.org/10.3389/frai.2026.1954446openalex-snapshot
Explainable AI in educational data mining: LightGBM and SHAP for enhancing learner performance prediction
inferred← citeshttps://doi.org/10.3390/app15158409openalex-snapshot
Beyond Performance: Explaining and Ensuring Fairness in Student Academic Performance Prediction with Machine Learning
inferred← citeshttps://doi.org/10.34288/jri.v8i3.520openalex-snapshot
A COMPARATIVE STUDY OF DISTANCE METRICS AND NEIGHBOR SELECTION IN K-NEAREST NEIGHBOR FOR VOCATIONAL STUDENT PERFORMANCE CLASSIFICATION
inferred← citeshttps://doi.org/10.4018/979-8-3373-7411-6.ch012openalex-snapshot
Ethical Leadership Through AI Evaluation Frameworks
inferred← citeshttps://doi.org/10.4018/979-8-3373-8983-7.ch024openalex-snapshot
Rethinking the Future of the Teaching Profession in the Age of Automation and Artificial Intelligence
inferred← citeshttps://doi.org/10.65141/ject.v2i1.n6openalex-snapshot
Predicting Undergraduate Applicants for Enrollment Using Binary Classification Machine Learning Techniques
inferred← citeshttps://doi.org/10.65713/qpv2i108openalex-snapshot
EXPLAINABLE AI FOR STUDENT PERFORMANCE ANALYSIS IN CODING PLATFORMS
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.