Analysis of enrollment criteria in secondary schools using machine learning and data mining approach

Z Abideen, T Mazhar, A Razzaq, I Haq, I Ullah… - Electronics, 2023 - mdpi.com
Out-of-school children (OSC) surveys are conducted annually throughout Pakistan, and the
results show that the literacy rate is increasing gradually, but not at the desired speed …

[PDF][PDF] Predicting student program completion using Naïve Bayes classification algorithm

JG Perez, ES Perez - International Journal of Modern Education and …, 2021 - academia.edu
Data mining approaches provide different educational institutions opportunities to find
hidden patterns from the data stored in the database. Many researchers have used these …

Predicting the percentage of student placement: A comparative study of machine learning algorithms

E Çakıt, M Dağdeviren - Education and Information Technologies, 2022 - Springer
In recent years, there has been an increase in the demand for higher education in Turkey,
where the demand, as in most other countries, exceeds what is available. The main purpose …

[PDF][PDF] Evaluation of teacher's performance: a data mining approach

AK Pal, S Pal - International Journal of Computer Science and …, 2013 - researchgate.net
Most Organizations use performance appraisal system to evaluate the teacher's
performance. The teacher's performance is very important to the students and as well as …

[PDF][PDF] Performance analysis of undergraduate students placement selection using decision tree algorithms

T Jeevalatha, N Ananthi, DS Kumar - International Journal of Computer …, 2014 - Citeseer
Data mining is a new approach for education. The main objectives of higher education
institutions are to provide quality education to its students for their better placement …

A comparative study on machine learning algorithms for predicting the placement information of under graduate students

T Aravind, BS Reddy, S Avinash… - … conference on I …, 2019 - ieeexplore.ieee.org
As Machine Learning (ML) algorithms are becoming popular to solve challenging and
interesting real world prediction problems around us, the interest level of student community …

A review on feature selection methods for improving the performance of classification in educational data mining

M Zaffar, MA Hashmani, KS Savita… - … Journal of Information …, 2021 - inderscienceonline.com
Educational data mining (EDM) evaluates and predicts students' performance that assists to
discover important factors affecting students' academic performance and also guides …

Anticipating Placement Status of Engineering Students using Machine Learning based Prediction Models-A Case Study of Computer Science Stream

K Rai, P Kumar, S Sood - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Quality of placements is an important parameter considered by accreditation bodies while
ranking Universities or Institutes of Higher Education. Thanks to the increasing automation of …

Predicting student personality based on a data-driven model from student behavior on LMS and social networks

MS Halawa, ME Shehab… - 2015 Fifth International …, 2015 - ieeexplore.ieee.org
E-learning has become an essential factor in the modern educational system. In today's
diverse student population, E-learning must recognize the differences in student …

Machine learning classification models for student placement prediction based on skills

LS Maurya, MS Hussain… - International Journal of …, 2022 - inderscienceonline.com
Placement plays a vital role for engineering students in their career planning. Placement is
also important for engineering institutions to maintain the ranking in university. In this paper …