Guiding the Students in High School by Using Machine Learning
Guiding the Students in High School by Using Machine Learning
Author(s): Mustafa Ababneh, Aayat Aljarrah, Damla Karagozlu, Fezile ÖzdamlıSubject(s): School education, ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Big Data Analysis; education; machine learning; Student information system; student direction
Summary/Abstract: Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers related to analysing the educational big data that uses a lot of artificial intelligence techniques were studied. The purpose of the study is to identify weaknesses and gaps in previous researches. The results showed that many researches highlighted early expectations for academic performance. Unfortunately, no one thought of finding an effective way to guide high schooled students to reach their appropriate majors that can be suitable to their abilities. Those students need to be guided to pass this sensitive phase with high efficiency and good results. Thus, this school level is considered as the starting point for students’ academic lives, professional, and future success.
Journal: TEM Journal
- Issue Year: 10/2021
- Issue No: 1
- Page Range: 384-391
- Page Count: 8
- Language: English
