Employability prediction: a survey of current approaches, research challenges and applications

N Mezhoudi, R Alghamdi, R Aljunaid, G Krichna… - Journal of Ambient …, 2023 - Springer
Student employability is crucial for educational institutions as it is often used as a metric for
their success. The job market landscape, however, more than ever dynamic, is evolving due …

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 …

Student's employability indexing using machine learning approach

P Sharma, D Anand, N Kapoor - 2022 Fifth International …, 2022 - ieeexplore.ieee.org
Predicting unemployment rates has become crucial since it can assist governments in
making decisions and designing strategies. Conventional univariate time series models and …

Capturing students' attention through visible behavior: A prediction utilizing YOLOv3 approach

JN Mindoro, NU Pilueta, YD Austria… - 2020 11th IEEE …, 2020 - ieeexplore.ieee.org
One way to determine whether or not the student is conscientious in the classroom is by
facial expressions. Facial expressions are facial changes in response to a person's internal …

[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 Better Approach for Students Employability Indexing using Machine Learning.

P Sharma, UK Lilhore - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Students' employability is a major issue for colleges and universities, and a technique for
detecting student employability sooner is always important to take fast action. However, the …

CVs Classification Using Neural Network Approaches Combined with BERT and Gensim: CVs of Moroccan Engineering Students

A Qostal, A Moumen, Y Lakhrissi - Data, 2024 - mdpi.com
Deep learning (DL)-oriented document processing is widely used in different fields for
extraction, recognition, and classification processes from raw corpus of data. The article …

An Implementation of Support Vector Machine Classification for Developer Academy Acceptance Prediction Model

T Wiradinata, R Tanamal, TR Saputri… - … on Innovative and …, 2021 - ieeexplore.ieee.org
In order to prepare graduates with work readiness in the IT industry, specifically in mobile
apps development, one of its ways is to create a Developer Academy where final year …

Unlocking the potential of LSTM for accurate salary prediction with MLE, Jeffreys prior, and advanced risk functions

F Li, NA Majid, S Ding - PeerJ Computer Science, 2024 - peerj.com
This article aims to address the challenge of predicting the salaries of college graduates, a
subject of significant practical value in the fields of human resources and career planning …