Volume 10, Issue 4

Volume 10, Issue 4

This issue presents four studies: an AI system called AILA that predicts Brazilian university students’ performance and recommends study resources using psychometric data and CatBoost (accuracy 0.74); a COSMIC-2 satellite analysis of ionospheric peaks over equatorial Africa that reveals large discrepancies with the IRI-2016 model; a unified study of MMF space harmonics that clarifies parasitic torques and magnetic forces in squirrel-cage induction motors; and a micro-topic blended teaching model that raised troubleshooting skill by 23 percent in a 132-learner quasi-experiment. Together, these papers show how models, measurements, and focused teaching can improve accuracy, design, and learning outcomes.

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Editorial
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Front Cover

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # i–i, 2025
Editorial
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Editorial Board

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # ii–iii, 2025
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Editorial

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # iv–v, 2025
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Table of Contents

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # vi–vi, 2025
Articles
Open Access Article
13 Pages, 1,945 KB Download PDF

Machine Learning Methods for University Student Performance Prediction in Basic Skills based on Psychometric Profile

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # 1–13, 2025; DOI: 10.25046/aj100401
Abstract:

Ensuring the quality of higher education in Brazil presents a complex challenge, intensified by factors that directly affect students’ academic performance. The pervasive influence of social media and the overconsumption of superficial digital content undermine students’ ability to engage in deep comprehension, critical thinking, and the practical application of knowledge. Furthermore, inadequate preparation during the…

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(This article belongs to the SP18 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2025) & Section Interdisciplinary Applications of Computer Science (CSI))
Open Access Article
6 Pages, 830 KB Download PDF

The First Study on Ionospheric Peak Variability over Equatorial Africa (COSMIC-2)

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # 14–19, 2025; DOI: 10.25046/aj100402
Abstract:

In regions like the African equatorial region, where ground-based sensors like ionosondes and incoherent scatter radars are limited, satellite-based radio occultation (RO) observations offer a new alternative for ionospheric data collecting and optimization. Using RO measurements from the mostly newly launched COSMIC-2 (Constellation Observing System for Meteorology, Ionosphere, and Climate-2) mission, hence, the equatorial Africa,…

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(This article belongs to Section Meteorology & Atmospheric Sciences (MAS))
Open Access Article
12 Pages, 914 KB Download PDF

Complete System and Interactions of MMF Harmonics in a Squirrel Cage Induction Motor; Differential Leakage; Analytic Calculation

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # 20–31, 2025; DOI: 10.25046/aj100403
Abstract:

The importance of MMF space harmonics in squirrel-cage induction motors has been recognized in the literature since the beginning. Their details have been analyzed over the years, but only partly systematized. In this article, however, not only the origin and the entire system of that harmonics are described, but also their interaction causing the asynchronous…

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(This article belongs to Section Electrical Engineering (ELE))
Open Access Article
9 Pages, 1,222 KB Download PDF

Integration and Innovation of a Micro-Topic-Pedagogy Teaching Model under the New Engineering Education Paradigm

Advances in Science, Technology and Engineering Systems Journal, Volume 10, Issue 4, Page # 32–40, 2025; DOI: 10.25046/aj100404
Abstract:

The rapid evolution of global technologies and industrial restructuring demands innovative pedagogical approaches to foster interdisciplinary engineering expertise. This research pioneers a blended instructional framework anchored in micro-topic pedagogy under the New Engineering Education (NEE) paradigm, orchestrating case studies, heuristic scaffolding, and research-driven inquiry strategies within digitally augmented learning ecosystems. A quasi-experimental study was conducted…

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(This article belongs to Section Education (EDU))

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