On the public citation graph
Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education
0 signed · 65 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10639-021-10661-6openalex-snapshot
Individualized help for at-risk students using model-agnostic and counterfactual explanations
inferredcites →https://doi.org/10.1007/s10639-021-10741-7openalex-snapshot
Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis of literature
inferredcites →https://doi.org/10.1016/j.iheduc.2020.100726openalex-snapshot
Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach
inferredcites →https://doi.org/10.1016/j.procs.2020.03.180openalex-snapshot
A Survey on Predictive Models of Learning Analytics
inferredcites →https://doi.org/10.1016/j.promfg.2020.01.256openalex-snapshot
Predicting Student Retention Using Support Vector Machines
inferredcites →https://doi.org/10.1109/access.2017.2654247openalex-snapshot
A Systematic Review on Educational Data Mining
inferredcites →https://doi.org/10.1109/access.2020.3036572openalex-snapshot
Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification
inferredcites →https://doi.org/10.1109/iceta48886.2019.9040158openalex-snapshot
Predicting Dropout Using High School and First-semester Academic Achievement Measures
inferredcites →https://doi.org/10.1109/ines.2018.8523888openalex-snapshot
Predicting Dropout in Higher Education Based on Secondary School Performance
inferredcites →https://doi.org/10.1111/j.1745-3984.2011.00136.xopenalex-snapshot
The Effect of High School Socioeconomic Status on the Predictive Validity of SAT Scores and High School Grade-Point Average
inferredcites →https://doi.org/10.1145/3368308.3415382openalex-snapshot
Interpretable Deep Learning for University Dropout Prediction
inferredcites →https://doi.org/10.1353/rhe.2005.0042openalex-snapshot
Predicting College Success with High School Grades and Test Scores: Limitations for Minority Students
inferredcites →https://doi.org/10.1556/063.2021.00017openalex-snapshot
Detecting at-risk students on Computer Science bachelor programs based on pre-enrollment characteristics
inferredcites →https://doi.org/10.1596/978-0-8213-9634-6openalex-snapshot
Economic Mobility and the Rise of the Latin American Middle Class
inferredcites →https://doi.org/10.1596/978-1-4648-1014-5openalex-snapshot
At a Crossroads: Higher Education in Latin America and the Caribbean
inferredcites →https://doi.org/10.18235/0011686openalex-snapshot
Returns to Higher Education in Chile and Colombia
inferredcites →https://doi.org/10.18543/tjhe-5(1)-2017pp21-40openalex-snapshot
Quality assurance in Latin America: current situation and future challenges
inferredcites →https://doi.org/10.3390/app10031042openalex-snapshot
Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review
inferredcites →https://doi.org/10.3390/app11010237openalex-snapshot
Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
inferredcites →https://doi.org/10.3390/app11041744openalex-snapshot
Traits versus Grades—The Incremental Predictive Power of Positive Psychological Factors over Pre-Enrollment Achievement Measures on Academic Performance
inferredcites →https://doi.org/10.3390/electronics9101613openalex-snapshot
IoT System for School Dropout Prediction Using Machine Learning Techniques Based on Socioeconomic Data
inferredcites →https://doi.org/10.3390/math9172078openalex-snapshot
Intelligent Decision Support System for Predicting Student’s E-Learning Performance Using Ensemble Machine Learning
inferredcites →https://doi.org/10.3926/jotse.922openalex-snapshot
Predicting Computer Engineering students' dropout in Cuban Higher Education with pre-enrollment and early performance data
inferredcites →https://doi.org/10.4172/2375-4389.1000137openalex-snapshot
Economic Effects of Student Dropouts: A Comparative Study
inferredcites →https://doi.org/10.5060/d2251g48openalex-snapshot
Primer on Data Management: What you always wanted to know
inferredcites →https://doi.org/10.5281/zenodo.14657212openalex-snapshot
A web application for predicting academic performance and identifying the contributing factors
inferredcites →https://doi.org/10.5753/sbie.2021.217437openalex-snapshot
Predicting Dropout in Higher Education: a Systematic Review
inferredcites →https://doi.org/10.5815/ijeme.2017.02.02openalex-snapshot
Literature Survey on Educational Dropout Prediction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/sres.70057openalex-snapshot
A Systems Thinking Framework for the Integration of Generative Artificial Intelligence in Decolonising Higher Education
inferred← citeshttps://doi.org/10.1007/978-3-031-33258-6_47openalex-snapshot
Geographic Patterns of Academic Dropout and Socioeconomic Characteristics Using Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-69769-2_14openalex-snapshot
Exploring School Dropout Dynamics: A Case Study Using Self-organizing Maps
inferred← citeshttps://doi.org/10.1007/978-3-031-93109-3_38openalex-snapshot
Comparative Analysis of Machine Learning and Deep Learning Algorithms for University Dropout: An Aproach Since CRISP-DM Interactive Pipeline
inferred← citeshttps://doi.org/10.1007/978-3-032-08704-1_7openalex-snapshot
Modeling the International Mobility of Tec Graduates: Predicting Emigration with Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-13063-1_5openalex-snapshot
Ethical Challenges in Educational Interventions Driven by Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-032-36554-5_11openalex-snapshot
Durable Academic Sentiment for Better Detection of Student Dropout
inferred← citeshttps://doi.org/10.1007/978-3-032-37438-7_44openalex-snapshot
Data Analytics and Driver of School Retention on Higher Education
inferred← citeshttps://doi.org/10.1007/978-981-95-4423-3_37openalex-snapshot
Evaluating Predictive Models for Student Performance and Dropout Risk
inferred← citeshttps://doi.org/10.1007/978-981-97-1814-6_82openalex-snapshot
Unveiling Success: An Analysis of Academic Performance Predictors in a Private High School in Mexico Through Learning Analytics
inferred← citeshttps://doi.org/10.1007/s10639-023-11682-zopenalex-snapshot
A stacking ensemble machine learning method for early identification of students at risk of dropout
inferred← citeshttps://doi.org/10.1016/j.procs.2024.11.182openalex-snapshot
Prediction of student dropout using Artificial Intelligence algorithms
inferred← citeshttps://doi.org/10.1109/fie58773.2023.10343519openalex-snapshot
Analysis of Categorical and Numerical Variables for Dropout Intervention in Educational Settings
inferred← citeshttps://doi.org/10.1109/iccubea58933.2023.10392079openalex-snapshot
Predicting Students' Academic Success using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/ubmk59864.2023.10286747openalex-snapshot
Comparison of Machine Learning Methods for Early Detection of Student Dropouts
inferred← citeshttps://doi.org/10.1145/3724504.3724554openalex-snapshot
Predictive Analysis of Student Dropout in Higher Education
inferred← citeshttps://doi.org/10.1186/s12909-023-04918-6openalex-snapshot
Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes
inferred← citeshttps://doi.org/10.14201/eks.31018openalex-snapshot
Educación Superior y retención estudiantil
inferred← citeshttps://doi.org/10.18608/jla.2024.8125openalex-snapshot
Perspectives and Opportunities for Learning Analytics Integration
inferred← citeshttps://doi.org/10.2298/csis241022050sopenalex-snapshot
Classification and forecasting in students’ progress using multiple-criteria decision making, K-Nearest Neighbors, and Multilayer Perceptron methods
inferred← citeshttps://doi.org/10.24857/rgsa.v18n8-117openalex-snapshot
Higher Education Dropout: A Scoping Review
inferred← citeshttps://doi.org/10.31862/1819-463x-2023-4-71-83openalex-snapshot
Predicting learning success: research problems and challenges
inferred← citeshttps://doi.org/10.3389/feduc.2023.1244686openalex-snapshot
Predictive analytics study to determine undergraduate students at risk of dropout
inferred← citeshttps://doi.org/10.3389/feduc.2024.1444534openalex-snapshot
Analysis of the determinant factors in university dropout: a case study of Ecuador
inferred← citeshttps://doi.org/10.3390/computation13080198openalex-snapshot
Factors, Prediction, Explainability, and Simulating University Dropout Through Machine Learning: A Systematic Review, 2012–2024
inferred← citeshttps://doi.org/10.3390/data10100162openalex-snapshot
University Student Dropout: A Longitudinal Dataset of Demographic, Socioeconomic, and Academic Indicators
inferred← citeshttps://doi.org/10.3390/data8070121openalex-snapshot
Knowledge Discovery and Dataset for the Improvement of Digital Literacy Skills in Undergraduate Students
inferred← citeshttps://doi.org/10.3390/educsci15030287openalex-snapshot
Dropout Rate Model Analysis at an Engineering School
inferred← citeshttps://doi.org/10.3390/educsci16030403openalex-snapshot
Aspects of University Dropout Criteria Groups: Insights from the Literature
inferred← citeshttps://doi.org/10.3390/info15110738openalex-snapshot
SoK: The Impact of Educational Data Mining on Organisational Administration
inferred← citeshttps://doi.org/10.4018/979-8-3693-7793-2.ch004openalex-snapshot
Emerging Technologies in Education
inferred← citeshttps://doi.org/10.5753/sbie.2024.242685openalex-snapshot
An exploratory analysis on socio-demographic features importance for a predictive undergraduate computing students dropout model
inferred← citeshttps://doi.org/10.5944/ried.27.1.37491openalex-snapshot
Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática
inferred← citeshttps://doi.org/10.61728/ae20256524openalex-snapshot
Modelo Integral de Diagnóstico y Seguimiento Personalizado: Una propuesta para la prevención y atención del riesgo académico en la Facultad de Medicina y Nutrición
inferred← citeshttps://doi.org/10.65133/irj.v1.n2.2025/a15openalex-snapshot
Procrastinación académica y su asociación con rendimiento percibido y objetivo en estudiantes de medicina
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.