Authors :
K. G. Kaushalya Abeywardhane; Anjalie Gamage
Volume/Issue :
Volume 7 - 2022, Issue 12 - December
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3Gzodr7
DOI :
https://doi.org/10.5281/zenodo.7525179
Abstract :
Education is an important factor that
measures the nation’s wealth and education directly
affects the country’s future development. All children at
all levels in Sri Lanka are entitled to free education up to
the university level. During that period, the students
have to face two essential examinations to complete
their senior secondary education. According to the Sri
Lankan education schema, students happen to select
one subject stream to start their senior secondary
education key stage 2. Most of the students select that
subject stream without thinking deeper, thereby that
decision will cause them to create a good future as
well as not create. A prediction system which is called
‘Subject Stream Prediction’ predicts the appropriate
subject stream to begin senior secondary education
based on students’ previous examination results as well
as their skills, and preferred working area for their
target career. If some student does not satisfy with one
predicted answer, the model proposes ten appropriate
subject streams with relevant jobs and educational and
technical qualifications that need for those careers based
on the above features. I have done a performance
analysis between four machine learning algorithms to
select the best-suited algorithm to predict the suitable
subject stream by accessing their accuracy levels. That
analysis demonstrates that the ‘Random Forest
Classifier’ algorithm gives high accuracy (72).
Keywords :
Machine Learning Algorithm, Subject Stream, Prediction System
Education is an important factor that
measures the nation’s wealth and education directly
affects the country’s future development. All children at
all levels in Sri Lanka are entitled to free education up to
the university level. During that period, the students
have to face two essential examinations to complete
their senior secondary education. According to the Sri
Lankan education schema, students happen to select
one subject stream to start their senior secondary
education key stage 2. Most of the students select that
subject stream without thinking deeper, thereby that
decision will cause them to create a good future as
well as not create. A prediction system which is called
‘Subject Stream Prediction’ predicts the appropriate
subject stream to begin senior secondary education
based on students’ previous examination results as well
as their skills, and preferred working area for their
target career. If some student does not satisfy with one
predicted answer, the model proposes ten appropriate
subject streams with relevant jobs and educational and
technical qualifications that need for those careers based
on the above features. I have done a performance
analysis between four machine learning algorithms to
select the best-suited algorithm to predict the suitable
subject stream by accessing their accuracy levels. That
analysis demonstrates that the ‘Random Forest
Classifier’ algorithm gives high accuracy (72).
Keywords :
Machine Learning Algorithm, Subject Stream, Prediction System
