[HTML][HTML] Systematic review of research on artificial intelligence in K-12 education (2017–2022)
Abstract Background The use of Artificial Intelligence (AI) has increased in all education
sectors including K-12 settings where students can learn about AI and have an augmented …
sectors including K-12 settings where students can learn about AI and have an augmented …
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 …
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
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 …
Computational statistics and machine learning techniques for effective decision making on student's employment for real-time
The present study accentuated a hybrid approach to evaluate the impact, association and
discrepancies of demographic characteristics on a student's job placement. The present …
discrepancies of demographic characteristics on a student's job placement. The present …
Employability prediction of engineering graduates using ensemble classification modeling
Higher educational institutions have a responsibility and commitment to deliver employable
graduates as it impacts their well-being and the economy. This study compared the accuracy …
graduates as it impacts their well-being and the economy. This study compared the accuracy …
Applying Data Mining in Graduates' Employability: A Systematic Literature Review.
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 …
imperative because nowadays there is a high rate of unemployed graduates. Thus, the main …
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 …
making decisions and designing strategies. Conventional univariate time series models and …
A predictive model for student employability using deep learning techniques
PS Ambili, B Abraham - ECS Transactions, 2022 - iopscience.iop.org
Education in the present scenario is outcome based and focuses mainly on the skill sets a
student acquires on completion of the studies. The society is increasingly concerned about …
student acquires on completion of the studies. The society is increasingly concerned about …
[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 …
[HTML][HTML] Leveraging LLMs for Optimised Feature Selection and Embedding in Structured Data: A Case Study on Graduate Employment Classification
Abstract The application of Machine Learning (ML) for predicting graduate student
employability is a growing area of research, driven by the need to align educational …
employability is a growing area of research, driven by the need to align educational …