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Keyword: Academic Performance
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Open AccessArticle
12 Pages, 1,413 KB Download PDF

Multi-Layered Machine Learning Model For Mining Learners Academic Performance

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 850–861, 2021; DOI: 10.25046/aj060194
Abstract:

Different colleges and universities have different approaches to dealing with low-performance learners. However, in most cases, analgesics do not deal with root problems. This research suggests a model of three layers of variables sequentially adaptable to a deep-root issue. The suggested model can identify early pupils who could be at risk because of inaccurate or…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
8 Pages, 750 KB Download PDF

Predicting School Children Academic Performance Using Machine Learning Techniques

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 5, Page # 08–15, 2021; DOI: 10.25046/aj060502
Abstract:

The study aims to assess the machine learning techniques in predicting students’ associated factors that affect their academic performance. The study sample consisted of 5084 middle and high school students between the ages of 10 and 17, attending public and UNRWA schools in the West Bank. The ‘Health Behaviors School Children’ questionnaire for the 2013-2014…

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(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 1,020 KB Download PDF

Decision Support Model using FIM Sugeno for Assessing the Academic Performance

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 605–611, 2021; DOI: 10.25046/aj060165
Abstract:

Assessing academic performance is a common way of evaluating and assessing the abilities of students in tertiary institutions. Usually it is practically performed based on the cumulative grade point average (GPA) at the end of each semester passed. Unwittingly there are many factors that are able to influence student performance results apart from GPA as…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
11 Pages, 373 KB Download PDF

Predicting Student Academic Performance Using Data Mining Techniques

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 153–163, 2021; DOI: 10.25046/aj060117
Abstract:

There is a crisis in basic education during this pandemic which affected everyone worldwide, we see that teaching and learning have gone online which has effected student performance. Student’s academic performance needs to be predicted to help an instructor identify struggling students more easily and giving teachers a proactive chance to come up with supplementary…

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(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
5 Pages, 710 KB Download PDF

The Proportionality of Women Graduated from the Professional Career of Mechanical and Electrical Engineering at UNTELS: Analysis of their Academic Performance and Labor Field of Action

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 1, Page # 368–372, 2020; DOI: 10.25046/aj050147
Abstract:

This research seeks to describe the proportionality of women graduated from the Professional Career of Mechanical and Electrical Engineering, analyzing their academic performance and the field of work action in which they are working. This study was done with the purpose of highlighting academic performance, and encouraging women to continue with this career, eliminating the…

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(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Behavioral Sciences (BHS))
Open AccessArticle
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 AccessArticle
7 Pages, 857 KB Download PDF

Self-Regulated Learning and Academic Achievement of Physics Students in Selected Secondary Schools in Aguata Local Government Area of Anambra State, Nigeria

Advances in Science, Technology and Engineering Systems Journal, Volume 7, Issue 1, Page # 1–7, 2022; DOI: 10.25046/aj070101
Abstract:

The research investigated the consequence of self-regulated learning on students’ academic performance in physics, using selected public co-education schools in Aguata Educational Zone, Anambra State as the research area. The study became necessary as a result of the observed persistent poor performance of the student in Physics in external examinations over the years. The study…

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(This article belongs to Section Applied Physics (PAP))
Open AccessArticle
12 Pages, 502 KB Download PDF

A Case Study to Enhance Student Support Initiatives Through Forecasting Student Success in Higher-Education

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 230–241, 2021; DOI: 10.25046/aj060126
Abstract:

Enrolment figures have been expanding in South African institutions of higher-learning, however, the expansion has not been accompanied by a proportional increase in the percent- age of enrolled learners completing their degrees. In a recent undergraduate-cohort-studies report, the DHET highlight the low percentage of students completing their degrees in the allotted time, having remained between…

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(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
6 Pages, 595 KB Download PDF

Analysis of Learning Difficulties in Object Oriented Programming in Systems Engineering Students at UNTELS

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1704–1709, 2020; DOI: 10.25046/aj0506203
Abstract:

The learning difficulties of Object-Oriented Programming can be one of the causes of failure in college students, which can even lead to student dropout. This article has the purpose of analyzing the main learning difficulties of object-oriented programming using the Java programming language in Systems Engineering students of the Universidad Nacional Tecnológica de Lima Sur…

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(This article belongs to Section Behavioral Sciences (BHS))
Open AccessArticle
6 Pages, 430 KB Download PDF

Predictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 4, Page # 206–211, 2019; DOI: 10.25046/aj040425
Abstract:

Currently, one of the challenges of educational institutions is drop-out student issues. Several factors have been found and determined potentially capable to stimulate dropouts. Many researchers have been applied data mining methods to analyze, predict dropout students and also optimize finding dropout variables in advance. The main objective of this study is to find the…

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(This article belongs to Section Software Engineering in Computer Science (CSE))
Open AccessArticle
4 Pages, 570 KB Download PDF

Digitization Impact Assessment Model for Secondary Schools: Case of Nairobi County in Kenya

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 3, Page # 194–197, 2019; DOI: 10.25046/aj040326
Abstract:

Digitization is viewed as the capability to utilize digital technologies for generating processing, sharing and transacting information. Studies show that digitization has now become ubiquitous. In almost all the sectors, we routinely interact with digital technologies. As a result, the impact of digitization is being observed in such sectors. For instance, the positive impact of…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 952 KB Download PDF

An Ontology-Based Temporal Scheduling and Complexity Reduction Model for Timetabling Knowledge Management

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1585–1591, 2017; DOI: 10.25046/aj0203197
Abstract:

Technological tools such as Semantic Web and ontologies have contributed immensely to the reduction of most managerial complexities on daily basis. However, most resolved complexities are solely dependent on the emerging issues which are not general enough to accommodate some specific domain challenges. Temporal scheduling complexities occur in several domains including timetabling, but inter-departmental courses…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))

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