Mining campus big data: Prediction of career choice using interpretable machine learning method

Y Wang, L Yang, J Wu, Z Song, L Shi - Mathematics, 2022 - mdpi.com
The issue of students' career choice is the common concern of students themselves, parents,
and educators. However, students' behavioral data have not been thoroughly studied for …

Career choice prediction based on campus big data—mining the potential behavior of college students

M Nie, Z Xiong, R Zhong, W Deng, G Yang - Applied Sciences, 2020 - mdpi.com
Career choice has a pivotal role in college students' life planning. In the past, professional
career appraisers used questionnaires or diagnoses to quantify the factors potentially …

Predicting the post graduate admissions using classification techniques

S Jeganathan, S Parthasarathy… - … on Emerging Smart …, 2021 - ieeexplore.ieee.org
Decision making by applying data mining methods is being used in many service
organizations. Educational bodies gradually started to use the business intelligence …

Predicting the academic status of admitted applicants based on educational and admission data using data mining techniques

A Khosravi, H Abdulmaleki, M Fayazi - Soft Computing Journal, 2021 - scj.kashanu.ac.ir
Educational data mining has become an increasingly popular field of research in recent
years due to the vast amount of student data held by educational institutions. This data can …

Determining the Factors Influencing the Academic Accomplishment of Students and Predicting their Success Using Machine Learning Techniques

RK Kavitha, CR Krupa… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Educational data mining provides a suitable approach for finding the connections hidden in
educational data and guessing students' academic achievement. Using the marks obtained …

[PDF][PDF] Forecasting Students' Job Placement using Data Science Paradigms

IO Muraina, MA Agoi, BO Omorojor - International Journal of …, 2022 - researchgate.net
Literatures revealed that so many sort of analysis available for quantitative and qualitative
types of analysis in research. The essential focus of using data science models/approaches …

Prediction of the Computer Science Department's Educational Performance Through Machine Learning Model by Analyzing Students' Academic Statements

MA Hossain, I Ahammad, MK Ahmed… - Artificial Intelligence …, 2023 - ojs.wiserpub.com
In this digital world, technology is changing every second. For this reason, tech-based
educational departments should be aware of their strong and weak areas. By doing so, they …

Computational statistics and machine learning techniques for effective decision making on student's employment for real-time

D Kumar, C Verma, PK Singh, MS Raboaca… - Mathematics, 2021 - mdpi.com
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 …

Using data mining techniques to predict student performance to support decision making in university admission systems

HA Mengash - Ieee Access, 2020 - ieeexplore.ieee.org
An admissions system based on valid and reliable admissions criteria is very important to
select candidates likely to perform well academically at institutions of higher education. This …

Predicting university student graduation using academic performance and machine learning: a systematic literature review

LR Pelima, Y Sukmana, Y Rosmansyah - IEEE Access, 2024 - ieeexplore.ieee.org
Predicting university student graduation is a beneficial tool for both students and institutions.
With the help of this predictive capacity, students may make well-informed decisions about …