Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling
Abstract Machine Learning concept learns from experiences, inferences and conceives
complex queries. Machine learning techniques can be used to develop the educational …
complex queries. Machine learning techniques can be used to develop the educational …
Mining campus big data: Prediction of career choice using interpretable machine learning method
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 …
and educators. However, students' behavioral data have not been thoroughly studied for …
Predictive analysis and data mining among the employment of fresh graduate students in HEI
Management of higher education have a problem in producing 100% of graduates who can
meet the needs of industry while industry is also facing the problem of finding skilled …
meet the needs of industry while industry is also facing the problem of finding skilled …
RETRACTED ARTICLE: Predictive analysis of student academic performance and employability chances using HLVQ algorithm
KS Bhagavan, J Thangakumar… - Journal of Ambient …, 2021 - Springer
Abstract Educational Data Mining (EDM) uses various data mining tools and methods for
different applications in the field of education. EDM applications and techniques follow both …
different applications in the field of education. EDM applications and techniques follow both …
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 …
select candidates likely to perform well academically at institutions of higher education. This …
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 performance using advanced learning analytics
Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as
interesting areas of research, which are unfolding useful knowledge from educational …
interesting areas of research, which are unfolding useful knowledge from educational …
A decision support system for predicting students' performance
Educational data mining is an emerging research field concerned with developing methods
for exploring the unique types of data that come from educational context. These data allow …
for exploring the unique types of data that come from educational context. These data allow …
[PDF][PDF] Classification model of prediction for placement of students
AK Pal, S Pal - International Journal of Modern Education and …, 2013 - academia.edu
Data mining methodology can analyze relevant information results and produce different
perspectives to understand more about the students' activities. When designing an …
perspectives to understand more about the students' activities. When designing an …
Practical early prediction of students' performance using machine learning and eXplainable AI
Predicting students' performance in advance could help assist the learning process; if “at-
risk” students can be identified early on, educators can provide them with the necessary …
risk” students can be identified early on, educators can provide them with the necessary …