Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making

QR Code

Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making

In the realm of global Science, Technology, Engineering, and Mathematics (STEM) education, the declining enrolment in advanced mathematics courses poses a substantial challenge to the development of a robust STEM workforce and its role in sustainable economic growth. The study’s primary objectiv...

Full description

Bibliographic Details
Main Authors:	Zun, Liang Chuan, Nursultan Japashov, Soon, Kien Yuan, Tan, Wei Qing, Noriszura Ismail
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:	http://journalarticle.ukm.my/24276/ http://journalarticle.ukm.my/24276/1/Akademika_94_2_13.pdf

Similar Items

Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
by: Chuan, Zun Liang, et al.
Published: (2024)

Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making
by: Chuan, Zun Liang, et al.
Published: (2023)

FURIA stacking ensemble for ASD classification
by: Ainie Hayati, Noruzman, et al.
Published: (2022)

Students’ decision making in class selection and enrolment
by: Othman, Muhammad Hanif, et al.
Published: (2019)

Brain stroke prediction using stacked ensemble model
by: Hemalatha Gunasekaran,, et al.
Published: (2024)

Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia
by: Chuan, Zun Liang, et al.
Published: (2025)

A predictive model of the enrolment in the key subject of STEM education using the machine learning paradigm
by: Chuan, Zun Liang, et al.
Published: (2021)

Unlocking Statistical Insights: Global Classroom Collaboration with Universitas Islam Negeri Sultan Syarif Kasim Riau Indonesia Leaves a Lasting Impact
by: Chuan, Zun Liang
Published: (2024)

Enhanced Heterogeneous Stacked Ensemble Machine Learning Model For Detecting Nigerian Politically Motivated Cyberhate
by: Sallau, Mullah Nanlir
Published: (2023)

Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
by: Chuan, Zun Liang, et al.
Published: (2024)

Statistics of eigenvectors in non-invariant random matrix ensembles
by: Truong, Kevin
Published: (2018)

Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines
by: Fatai Adesina, Anifowose, et al.
Published: (2015)

A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer
by: Wang, Bingzhen, et al.
Published: (2025)

Statistics of eigenvectors in the deformed Gaussian unitary ensemble of random matrices
by: Truong, K., et al.
Published: (2016)

What makes undergraduate students enroll into an elective course? The case of Islamic accounting
by: Amin, Hanudin, et al.
Published: (2009)

Analyzing Malaysian consumers' decision making styles dimensions in banking services
by: Zainal Ariffin, Zailin
Published: (2002)

Decision to enroll in post-graduate education: What are the predictors?
by: Bakar, Ab. Rahim, et al.
Published: (2009)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
by: Muslim, Much Aziz, et al.
Published: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning*
by: Muslim, Much Aziz, et al.
Published: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning*
by: Muslim, Much Aziz, et al.
Published: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
by: Muslim, Much Aziz, et al.
Published: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
by: Muslim, Much Aziz, et al.
Published: (2023)

New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
by: Muslim, Much Aziz, et al.
Published: (2023)

Robust hotelling’s T2 statistic based on M-estimator
by: Mohd Aizat Ahlam, Mohamad Mokhtar, et al.
Published: (2019)

Roles and functions of enrolled nurses in Australia: Perspectives of enrolled nurses and registered nurses
by: Endacott, R., et al.
Published: (2018)

An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units
by: Azadeh, A., et al.
Published: (2011)

Flow distribution analyzing for the solid oxide fuel cell short stacks with rectangular and discrete cylindrical rib configurations
by: Su, S., et al.
Published: (2015)

Robust hotelling's T2 statistic based on M-estimator
by: Mohd Aizat Ahlam, Mohamad Mokhtar, et al.
Published: (2021)

Factors Affecting Students to Enrol in Finance Related Major.
by: Lam, Shi Hui, et al.
Published: (2016)

Foreign students' enrolment in Malaysian higher education institution
by: Chu, Man Yee, et al.
Published: (2015)

Monthly Mathematical Colloquium MMC 3, 2023
by: Chuan, Zun Liang
Published: (2023)

Monthly Mathematical Colloquium MMC 2, 2023
by: Chuan, Zun Liang
Published: (2023)

Stock Price Prediction of Bank Rakyat Indonesia Using an Ensemble Stacking Model of K-Nearest Neighbors (KNN) and Support Vector Machine (SVM)
by: Muhammad, Tamami, et al.
Published: (2025)

Innovation in Education: Transition for Enrolled Nurses
by: Downie, Jill, et al.
Published: (2002)

Physics Enrolments - more good news
by: Jennings, Philip, et al.
Published: (2008)

Student enrolment system for PTPL college
by: Azizah, Jamel, et al.
Published: (2004)

UMPSA enrollment using universitys transportation
by: Nor Salwana, Mohammad Idris
Published: (2023)

The effectiveness of a probabilistic principal component analysis model and expectation maximisation algorithm in treating missing daily rainfall data
by: Chuan, Zun Liang, et al.
Published: (2020)

Pattern generation through feature values modification and decision tree ensemble construction
by: Akhand, M. A. H, et al.
Published: (2013)

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and ensemble bivariate and multivariate statistical models in GIS
by: Pradhan, Biswajeet, et al.
Published: (2013)