Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

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A model for predicting dropout of higher education students by Anaíle Mendes Rabelo, Luis Enrique Zárate

“…Based on the characterization of the dropout problem and the application of a knowledge discovery process, an ensemble model is proposed to improve dropout prediction. …”
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Predictive analytics in gamified education: A hybrid model for identifying at-risk students by Devanshu Sawarkar, Latika Pinjarkar, Pratham Agrawal, Devansh Motghare

“…This research proposes a hybrid predictive model designed to identify at-risk students within a gamified education environment accurately. …”
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Enhancing Strategic Partnerships in Higher Education: Developing and Implementing a Predictive Model by Georgios Eftychiou

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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

“…Predicting student performance has become challenging as a result of the vast quantity of data in educational databases. …”
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Application and optimization of BP prediction model driven by internet of things in tourism education by Qi Lv

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Artificial intelligence prediction model for educational knowledge representation through learning performance by Ane Tanjea, Nepa Tabatshum

“…Precision education derives teaching and learning opportunities by customizing predictive rules in educational methods. …”
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Near viewing behaviors predict educational system in a machine learning model by Ravid Doron, Einat Shneor, Lisa A. Ostrin, Ariela Gordon-Shaag, Ayelet Goldstein

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Predicting global educational inequality with a hierarchical belief rule base model by Aosen Gong, Wei He, Gaixia Ge, Cuiping Yang, Shaohua Li

“…Experimental results show that the HBRB-I model achieves high accuracy and robustness in predicting global educational inequality, which also provides data support for equitable and sustainable distribution of global educational resources. …”
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Predictive model of school dropout in higher education through Learning Analytics with Neutrosophic Plithogenic Hypotheses by David Núñez, Purificación Galindo-Villardón

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Evaluating ensemble models for fair and interpretable prediction in higher education using multimodal data by Felipe Emiliano Arévalo-Cordovilla, Marta Peña

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Educational resources recommendation algorithm based on GMF-MLP-NeuMF prediction model by Rui Wang, Qiusheng Cui, Yezhi Xiao, Jinfeng Du, Ruicheng Yue

“…Abstract This study proposes a hybrid recommendation model (GMF-MLP-NeuMF) enhanced with knowledge graphs and temporal attention mechanisms to improve educational resource recommendation systems. …”
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AHP-Guided Stacked Ensemble Modeling for Student Engagement Level Prediction in Online Education by Jingjing Fu, Linjie Luo, Zhifeng Zhong, Jiaming Qin

“…The main goal is to improve the performance of prediction models using an innovative hybrid approach. …”
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Ensemble machine learning for predicting academic performance in STEM education by Aklilu Mandefro Messele

Subjects: “…Predictive modeling…”
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Large language models predict cognition and education close to or better than genomics or expert assessment by Tobias Wolfram

“…The same is true for predicting final educational attainment. Combining text, genetic markers, and teacher assessments into an ensemble model, we can predict cognitive ability at close to test-retest reliability of gold-standard tests ( $${R}_{Holdout}^{2}=0.7$$ R H o l d o u t 2 = 0.7 ) and explain 38% of individual differences in attainment. …”
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Enhancing Engineering and STEM Education With Vision and Multimodal Large Language Models to Predict Student Attention by Luis Marquez-Carpintero, Diego Viejo, Miguel Cazorla

Subjects: “…Attention prediction…”
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A hybrid model combining environmental analysis and machine learning for predicting AI education quality by Xinyu Ren

“…The results showed that corrective measures in all environments can help the development of AI education in universities. The results of conducting a case study and examining various evaluation indicators showed that the proposed approach in this study has a good accuracy in predicting the target variable (quality of education). …”
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Putting the pieces of the puzzle together in modeling gendered educational choices by Jakob Schwerter, Fani Lauermann, Philipp Doebler, Marjolein Fokkema

“…This study draws on five complementary theoretical perspectives—theory of circumscription and compromise, situated expectancy-value theory, the internal/external frame of reference model, the differential effects model, and the goal congruity model—to identify the strongest predictors of women's entry into STEM fields in higher education from 21 variables and their up to 441 nonlinear pairwise interactions. …”
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Genesis and Predictive Ability of Ecosystem Approach in Education by Diana Koroleva, Tatiana Khavenson, Daria Tomasova

“…In doing so, we affirm the predictive capacity of the ecosystem approach in modeling novel forms of stakeholder interactions, delineating the coevolution of social, economic, technological, and cultural trajectories, and identifying equitable and collectively significant priorities for the advancement of the educational milieu. …”
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TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education by J. Wilhelm, J. Quinting, M. Burba, S. Hollborn, U. Ehret, I. Pena Sánchez, S. Lerch, J. Meyer, B. Verfürth, P. Knippertz

Subjects: “…numerical weather prediction…”
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