Predicting student employability through the internship context using gradient boosting models

O Saidani, LJ Menzli, A Ksibi, N Alturki… - Ieee …, 2022 - ieeexplore.ieee.org
Universities around the world are keen to develop study plans that will guide their graduates
to success in the job market. The internship course is one of the most significant courses that …

Applying Data Mining in Graduates' Employability: A Systematic Literature Review.

HN Mpia, LW Mburu… - International Journal of …, 2023 - search.ebscohost.com
Envisaging an adequate IT/IS solution that can mitigate the employability problems is
imperative because nowadays there is a high rate of unemployed graduates. Thus, the main …

[PDF][PDF] Employability prediction of information technology graduates using machine learning algorithms

G ElSharkawy, Y Helmy, E Yehia - International Journal of …, 2022 - researchgate.net
The ability to predict graduates' employability to match labor market demands is crucial for
any educational institution aiming to enhance students' performance and learning process …

Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0: An Analysis of Key Factors and Predictive Model Development

R Singh, N Srivastava - Architecture and Technological …, 2024 - igi-global.com
After graduation, student employability is a crucial issue that has an impact on people's lives,
society, and the economy as a whole. Employers are looking for applicants in the present …

A development of fuzzy logic expert-based recommender system for improving students' employability

CD Casuat, ASM Isira, ED Festijo… - 2020 11th IEEE …, 2020 - ieeexplore.ieee.org
Most of the higher education institutions in the world have already been evaluating their
strategies of enhancing the employability of their students and introducing different ways to …

Student performance score prediction using artificial neural network with the support of exploratory factor analysis and clustering

S Öğütcü - 2020 IEEE Third International Conference on Data …, 2020 - ieeexplore.ieee.org
This study proposes a sequence of data analysis techniques for prediction purposes which
consists of the use of exploratory factor analysis for classification, clustering of variables in a …

PENERAPAN ALGORITMA NAÃ VE BAYES DENGAN BACKWARD ELIMINATION UNTUK PREDIKSI WAKTU TUNGGU ALUMNI MENDAPATKAN PEKERJAAN

A Widhiantoyo, BN Sari… - JIKO (Jurnal Informatika …, 2021 - ejournal.unkhair.ac.id
Perguruan tinggi memiliki peranan yang signifikan dalam pengembangan kualitas
pendidikan manusia. Merancang kurikulum dan strategi pendidikan yang tepat dapat …

Prediction of Student Employability through Internship based on Big Data Analysis

Y Wang - Journal of Electrical Systems, 2024 - search.proquest.com
The internship course is among the most important because it gives students a hands-on
opportunity to apply their knowledge and get ready to launch a professional career …

Assessing IT Job Candidates Through Interpretable Machine Learning Model

A Sukardi, J Saputra, S Hariman… - … on Smart Computing …, 2024 - ieeexplore.ieee.org
The escalating demand for skilled IT professionals underscores the increasing significance
of the recruitment process. Traditional methods often fall short in identifying individuals …

Predicting Employability of Candidates: Comparative Study of Different Machine Learning Models

KB Sai Hitharth, NM Dhanya - … of Emerging Trends and Technologies on …, 2022 - Springer
For a company interview procedure, the company uses a Classified Dataset, to determine
whether or not that person is selected. Each candidate in the database has a set of attributes …