How machine learning (ml) is transforming higher education: A systematic literature review
In the last decade, artificial intelligence (AI), machine learning (ML) and learning data
analytics have been introduced with great effect in the field of higher education. However …
analytics have been introduced with great effect in the field of higher education. However …
The impact of internship experience on the employability of vocational students: a bibliometric and systematic review
D Pianda, H Hilmiana, S Widianto… - Cogent Business & …, 2024 - Taylor & Francis
Employability is a primary priority for vocational students in the competitive labor market, as
it is essential to meet the demands of globalization and the Fourth Industrial Revolution …
it is essential to meet the demands of globalization and the Fourth Industrial Revolution …
Assessing the impact of digital education and the role of the big data analytics course to enhance the skills and employability of engineering students
L Xu, J Zhang, Y Ding, G Sun, W Zhang… - Frontiers in …, 2022 - frontiersin.org
This study aims to explore the role of digital education in the development of skills and
employability for engineering students through researching the role of big data analytics …
employability for engineering students through researching the role of big data analytics …
[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 …
Serious gaming for graduates employability enhancement
Higher Education Institutions (HEIs) are blamed for being insouciant about the business
world and not efficiently steeling students with employment abilities. As a reply to this …
world and not efficiently steeling students with employment abilities. As a reply to this …
Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model
C Li, X Meng - Frontiers in Public Health, 2024 - frontiersin.org
Objective This study explored the factors and influence degree of job satisfaction among
medical staff in Chinese public hospitals by constructing the optimal discriminant model …
medical staff in Chinese public hospitals by constructing the optimal discriminant model …
[PDF][PDF] Predicting Student Performance Using Mental Health and Linguistic Attributes with Deep Learning.
B Venkatachalam, K Sivanraju - Revue d'Intelligence …, 2023 - pdfs.semanticscholar.org
Early prediction of students' academic performance is a critical research topic in educational
data mining. ML models have been developed to predict academic performance, but it has …
data mining. ML models have been developed to predict academic performance, but it has …
[PDF][PDF] Skill Development Journey through Hospitality: An In-Depth Study of Trainee Experiences in Malaysia
On-the-job training abroad offers students an opportunity to acquire practical knowledge and
skills in a recognized foreign host establishment, enhancing their global competitiveness …
skills in a recognized foreign host establishment, enhancing their global competitiveness …
An Advanced Artificial Fish School Algorithm to Update Decision Tree for NLOS Acoustic Localization Signal Identification with the Dual-Receiving Method
R Kan, M Wang, X Liu, X Liu, H Qiu - Applied Sciences, 2023 - mdpi.com
For indoor sensor systems, it is essential to implement an extra supporting area notification
part. To inform the real-time coordinates, the time difference of arrival (TDOA) algorithm can …
part. To inform the real-time coordinates, the time difference of arrival (TDOA) algorithm can …
[PDF][PDF] Analysis of the effectiveness of using machine learning algorithms to make hiring decisions
K Smelyakov, Y Hurova, S Osiievskyi - Proceedings http://ceur-ws. org …, 2023 - ceur-ws.org
The focus of this paper is to analyze the effectiveness of modern machine learning
algorithms in making hiring decisions for a team. By evaluating different criteria for each …
algorithms in making hiring decisions for a team. By evaluating different criteria for each …