Predicting student employability through the internship context using gradient boosting models
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 …
to success in the job market. The internship course is one of the most significant courses that …
Can we predict student performance based on tabular and textual data?
Y Qu, F Li, L Li, X Dou, H Wang - IEEE Access, 2022 - ieeexplore.ieee.org
With the emergence of more new teaching systems, such as Massive Open Online Courses
(MOOCs), massive amounts of data are constantly being collected. There is a huge value in …
(MOOCs), massive amounts of data are constantly being collected. There is a huge value in …
[PDF][PDF] Employability prediction of information technology graduates using machine learning algorithms
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 …
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
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 …
society, and the economy as a whole. Employers are looking for applicants in the present …
A Multilingual BERT Embeddings Approach in Identifying Factors Influencing Employability Among Pre-University Students
Identifying the important factors influencing employability among the pre-university students
is a non-trivial task due to the multifaceted educational data. By leveraging Machine …
is a non-trivial task due to the multifaceted educational data. By leveraging Machine …
Classification Techniques Using Machine Learning for Graduate Student Employability Predictions.
The issue of employability has gained significant importance, not only for graduate students
but also for higher educational institutions. In this regard, employability prediction models …
but also for higher educational institutions. In this regard, employability prediction models …
An algorithm combining random forest classification and fuzzy comprehensive evaluation
J Zhu, S Huang, Y Shi, K Wu, Y Wang - Journal of Internet …, 2022 - jit.ndhu.edu.tw
Random forest algorithm is a common classification method. However, if the weights of
many attributes in a data set are not same or close to each other, the direct use of this …
many attributes in a data set are not same or close to each other, the direct use of this …
[PDF][PDF] A Performance Analysis of the Impact of Prior-Knowledge on Computational Thinking
Previously acquired knowledge plays a significant role to learn new knowledge and skills.
Previously acquired knowledge consists of Short-term memory and Long-term memory …
Previously acquired knowledge consists of Short-term memory and Long-term memory …
XGBSO: An Employability Assessment Model
X Tu - 2024 IEEE 4th International Conference on Power …, 2024 - ieeexplore.ieee.org
To meet the increasing competition in the marketplace during the post epidemic era, it is
crucial for the IT industry to swiftly assess and select job seekers while identifying the …
crucial for the IT industry to swiftly assess and select job seekers while identifying the …
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 …
of the recruitment process. Traditional methods often fall short in identifying individuals …