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 …

The influence of soft skills on employability: a case study on technology industry sector in Malaysia

SS Fadhil, R Ismail, A Alnoor - Interdisciplinary Journal of …, 2021 - search.proquest.com
The Influence of Soft Skills on Employability: A Case Study on Technology Industry Sector in
Malaysia Page 1 Volume 16 2021 Accepting Editor Christine Nya-Ling TAN │ Received: April …

Predicting entrepreneurial intention of students: an extreme learning machine with Gaussian barebone Harris hawks optimizer

Y Wei, H Lv, M Chen, M Wang, AA Heidari… - Ieee …, 2020 - ieeexplore.ieee.org
This study aims to propose an effective intelligent model for predicting entrepreneurial
intention, which can provide a reasonable reference for the formulation of talent training …

Predict the entrepreneurial intention of fresh graduate students based on an adaptive support vector machine framework

J Tu, A Lin, H Chen, Y Li, C Li - Mathematical Problems in …, 2019 - Wiley Online Library
Under the background of “innovation and entrepreneurship,” how to scientifically and
rationally choose employment or independent entrepreneurship according to their own …

Predicting students' employability using machine learning approach

CD Casuat, ED Festijo - 2019 IEEE 6th international …, 2019 - ieeexplore.ieee.org
This study aims to apply an approach using machine learning for predicting students'
employability. The researchers conducted a case study that involved 27,000 information …

Utilising the potential of job postings for auditing learning outcomes and improving graduates' chances on the labour market

D Piróg, A Hibszer - Higher Education Quarterly, 2024 - Wiley Online Library
The objective of the paper was to outline the possibility of utilising information from online
job postings and text‐mining analyses to identify mismatches and gaps between learning …

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 …

Performance evaluation of machine learning predictive analytical model for determining the job applicants employment status

O Awujoola, PO Odion… - Malaysian Journal of …, 2021 - journal.unisza.edu.my
Several higher institution of learning faces issue or difficulty of turning out more than 90% of
their graduates who can competently satisfy and meet the requirements of the industry …

Aligning industrial engineering education with industry through atomic curriculum manipulation

PN Chikasha, K Ramdass, K Mokgohloa… - South African Journal …, 2020 - scielo.org.za
Curriculum is the primary factor that defines the competence and skill level of graduate
industrial engineers as these professionals leave university and enter a dynamic industry …

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 …