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Developing an Early Warning System with Personalized Interventions to Enhance Academic Outcomes for At-Risk Students in Taiwanese Higher Education
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/widm.1355openalex-snapshot
Educational data mining and learning analytics: An updated survey
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/10.1007/s10639-022-11309-9openalex-snapshot
Integration of modern technologies in higher education on the example of artificial intelligence use
inferredcites →https://doi.org/10.1007/s10639-023-11672-1openalex-snapshot
A comparative study on student performance prediction using machine learning
inferredcites →https://doi.org/10.1007/s11423-020-09788-zopenalex-snapshot
Utilising learning analytics to support study success in higher education: a systematic review
inferredcites →https://doi.org/10.1007/s11528-014-0822-xopenalex-snapshot
Let’s not forget: Learning analytics are about learning
inferredcites →https://doi.org/10.1016/0749-5978(91)90022-lopenalex-snapshot
Social cognitive theory of self-regulation
inferredcites →https://doi.org/10.1016/j.caeai.2024.100261openalex-snapshot
Predicting at-risk students in the early stage of a blended learning course via machine learning using limited data
inferredcites →https://doi.org/10.1016/j.chbr.2024.100416openalex-snapshot
Cultural differences in students’ privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United States
inferredcites →https://doi.org/10.1016/j.compedu.2009.09.008openalex-snapshot
Mining LMS data to develop an “early warning system” for educators: A proof of concept
inferredcites →https://doi.org/10.1016/j.compedu.2015.11.008openalex-snapshot
The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis
inferredcites →https://doi.org/10.1016/j.compedu.2022.104550openalex-snapshot
Stakeholders’ insights on learning analytics: Perspectives of students and staff
inferredcites →https://doi.org/10.1016/j.techsoc.2024.102474openalex-snapshot
Predicting student dropouts with machine learning: An empirical study in Finnish higher education
inferredcites →https://doi.org/10.1080/17439884.2013.771783openalex-snapshot
The rise of Big Data: what does it mean for education, technology, and media research?
inferredcites →https://doi.org/10.1109/access.2017.2654247openalex-snapshot
A Systematic Review on Educational Data Mining
inferredcites →https://doi.org/10.1109/access.2022.3188767openalex-snapshot
Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review
inferredcites →https://doi.org/10.1111/bjet.12592openalex-snapshot
Using learning analytics to scale the provision of personalised feedback
inferredcites →https://doi.org/10.1126/science.3287615openalex-snapshot
Measuring the Accuracy of Diagnostic Systems
inferredcites →https://doi.org/10.1177/001872675100400101openalex-snapshot
Some Social and Psychological Consequences of the Longwall Method of Coal-Getting
inferredcites →https://doi.org/10.1177/1534508415590386openalex-snapshot
Evaluation of Diagnostic Systems
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/10.1186/s41239-022-00371-5openalex-snapshot
An early warning system to identify and intervene online dropout learners
inferredcites →https://doi.org/10.1207/s15430421tip4102_2openalex-snapshot
Becoming a Self-Regulated Learner: An Overview
inferredcites →https://doi.org/10.1504/ijtel.2012.051816openalex-snapshot
Learning analytics: drivers, developments and challenges
inferredcites →https://doi.org/10.17762/turcomat.v12i7.3456openalex-snapshot
Analysis of factors affecting Student performance Evaluation using Education Dataminig Technique
inferredcites →https://doi.org/10.18608/jla.2019.63.3openalex-snapshot
What’s the Problem with Learning Analytics?
inferredcites →https://doi.org/10.3389/feduc.2023.1239177openalex-snapshot
Confucian or confusion? Analyses of international students’ self-rated intercultural sensitivity and its sociocultural predictors at Canadian universities
inferredcites →https://doi.org/10.3389/feduc.2024.1499642openalex-snapshot
Equity across the educational spectrum: innovations in educational access crosswise all levels
inferredcites →https://doi.org/10.3390/bdcc5040064openalex-snapshot
How Does Learning Analytics Contribute to Prevent Students’ Dropout in Higher Education: A Systematic Literature Review
inferredcites →https://doi.org/10.3390/computers14020068openalex-snapshot
Educational Data Mining and Predictive Modeling in the Age of Artificial Intelligence: An In-Depth Analysis of Research Dynamics
inferredcites →https://doi.org/10.3390/su151813662openalex-snapshot
Learning Analytics in Supporting Student Agency: A Systematic Review
inferredcites →https://doi.org/10.5688/ajpe8743openalex-snapshot
Detection of Academic Early Warning Signs and Effective Intervention “Takes a Village”
inferredcites →https://doi.org/10.5815/ijeme.2023.05.04openalex-snapshot
Investigation of Student Dropout Problem by Using Data Mining Technique
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-35635-2_8openalex-snapshot
METIAE-Predict: An ML+XAI+RAG Architecture with an Explanation-Before-Action Protocol for Early Warning Systems in Projective Spatial Thinking
inferred← citeshttps://doi.org/10.1007/978-981-92-3761-6_22openalex-snapshot
Developing a Predictive Model for At-Risk Students Using College Student Engagement
inferred← citeshttps://doi.org/10.1080/1360080x.2026.2643372openalex-snapshot
Strategic use of predictive analytics for student retention in blended higher education: implications for education management
inferred← citeshttps://doi.org/10.1109/cste69562.2026.11649612openalex-snapshot
Early Warning of At-Risk Students in Calculus Courses Based on XGBoost and LMS Data
inferred← citeshttps://doi.org/10.1109/iisa71656.2026.11705500openalex-snapshot
Prioritizing Student Support in Higher Education. An AHP–TOPSIS and Machine Learning Decision-Support Framework Using Big Data Analytics
inferred← citeshttps://doi.org/10.1109/isitia71267.2026.11642267openalex-snapshot
Predicting on-Time Graduation in Higher Education Using Institutional Administrative Data
inferred← citeshttps://doi.org/10.1145/3839592.3839667openalex-snapshot
A Machine Learning-Based Early Warning System for Student Academic Performance Prediction
inferred← citeshttps://doi.org/10.3389/feduc.2026.1760230openalex-snapshot
Predicting success in first year quantitative courses: an open engineering math readiness score for early levelling decisions
inferred← citeshttps://doi.org/10.3389/feduc.2026.1861182openalex-snapshot
A lightweight multi-scale deep separable network for early dropout prediction in MOOCs: balancing accuracy and educational deployability
inferred← citeshttps://doi.org/10.3390/a18120781openalex-snapshot
Early Student Risk Detection Using CR-NODE: A Completion-Focused Temporal Approach with Explainable AI
inferred← citeshttps://doi.org/10.4018/ijkm.415342openalex-snapshot
Knowledge Discovery and Decision Support in Physical Education Resource Management
inferred← citeshttps://doi.org/10.64186/jsp3625openalex-snapshot
การออกกลางคนของนกศกษาวทยาลยชมชนภายใตบรบทความเหลอมลำทางการศกษา : การสงเคราะหองคความรเพอพฒนาขอเสนอเชงนโยบาย
inferred← citeshttps://doi.org/10.65598/rps.6164openalex-snapshot
Modelos predictivos multidimensionales del rendimiento académico basados en variables académicas, conductuales y de interacción digital en estudiantes universitarios
inferred← citeshttps://doi.org/10.70577/asce.v5i1.639openalex-snapshot
Evidencia institucional para reducir la deserción en primer semestre universitario, alertas tempranas, acompañamiento y comunidades de aprendizaje
inferred← citeshttps://doi.org/10.70577/asce.v5i1.682openalex-snapshot
Barreras de ingreso, IA predictiva y estrategias innovadoras de retención estudiantil en educación superior de Esmeraldas
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