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52 articles for “Student Performance”
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Research ArticleOpen accessPhrase in the titleHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,390 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleThe Role of Blended Learning on Student Performance in Biotechnology CourseZahra Sarabadani, Aydin BerenjianThe present work aims for evaluating the role of blended learning on student engagement and performance in bioreactor design component of the biotechnology course. Interactive online module covering the main fundamental aspects of the subject was developed and made available to students prior to the class. Students who accessed the online module found to be more active in classroom response … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 3 · 25 Aug 2017 · 7,877 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFinancing College Through Student Loans: An Incentive for Academic Performance?Gunnar B˚ardsen, Snorre Lindset, Peter ReschStudent debt in the United States has reached unprecedented levels. Whereas student loans have paved the way to a college degree for millions of young Americans, it is not clear if student debt acts an incentive for academic performance or not. Using the results from a survey conducted with 877 undergraduate business students in a large public university in the … …Journal of Social Sciences, Vol. 19, Issue 1 · 24 Aug 2023 · 8,127 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDeep Learning Perspective on Assessing and Elevating Engineering Student’s PerformanceKandula Neha, Ram KumarIn addressing the need for successful frameworks to break down understudy execution, this study presents a profound learning-based approach for thorough understudy execution examination inside instructive establishments. The framework intends to evaluate understudies' presentation levels and distinguish those qualified for positions, needing extra help, or in danger of exiting. Utilizing a Long Momentary Memory (LSTM) model, a sort of intermittent … …Journal of Computer Science, Vol. 20, Issue 11 · 21 Sep 2024 · 4,495 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Machine Learning Models to Predict Student Academic Performance Using Structured Educational DataHardik Ishwarbhai Patel, Dharmendra PatelThis study analyses the use of machine learning for predicting the academic performance of students using their academic information from the institution, combined with socio-economic information that comes from outside sources. The collection of information is done using structured questionnaires as well as through data extraction from the Student Information System (SIS). To increase the reliability of models built, a … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,419 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFactors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management SystemStanley Limonthy, Evaristus Didik MadyatmadjaThis study investigates the impact of unsupervised learning within mobile Learning Management Systems (LMS) on student individual performance at university XYZ, Indonesia. We conducted data collection through online questionnaires distributed to university XYZ students and employed Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis. Our research extends the information system success model by integrating pedagogical and technological dimensions, specifically … …Journal of Computer Science, Vol. 20, Issue 3 · 27 Jan 2024 · 4,982 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Classification and Prediction Model for Student's Performance in University LevelAshraf Abazeed, Moaiad KhderEducational Data Mining is a new discipline, focusing on studying the methods and creating models to utilize educational data, using those methods to better understand students and their performance. We implemented two different techniques on our dataset; classification used to build a prediction model and association rules were used to find interesting hidden information in the student's records. This study … …Journal of Computer Science, Vol. 13, Issue 7 · 14 Jul 2017 · 8,223 accessesView PDFCite
Research ArticleOpen accessIn the keywordsProposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public UniversitiesGrace Leah Akinyi, Robert ObokoIntegration of technology in learning such as Electronic-learning has become an indispensable segment of higher education in Sub-Saharan Africa. This has opened up opportunities that improve teaching and learning. There is need for intervening in e-learning environments towards developing Self-regulated learning support, which can lead to improvement in performance and learner retention. SRL provides students with capability to acquire and … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2020 · 7,717 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModeling of Engineering Student SatisfactionZainol Mustafa, Norbayani Basri, Norkisme Zainal Abidin et al.Problem statement: The purpose of this study is first; to identify the antecedents to student satisfaction and the relationship between student satisfaction and promotion. Second; to develop a suitable student satisfaction model considering the antecedents of student satisfaction with student satisfaction and promotion for students of engineering in universities in Malaysia. A total of 500 engineering students from University Kebangsaan … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 18 Jan 2012 · 8,013 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSupervised Machine Learning Model-Based Approach for Performance Prediction of StudentsAbdul Razaque, Abrar M. AlajlanPredicting students’ performance is one of the crucial issue for learning contexts, since it helps to develop alternative recommendation systems for academically weak students. Thus, several methods and practices have been applied for educational improvement. However, most of the existing methods do not determine the performance of the students. In this study, we have studied the execution of six machine … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,082 accessesView PDFCite