Guiding the Students in High School by Using Machine Learning

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 t...

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Vydané v:TEM Journal Ročník 10; číslo 1; s. 384 - 391
Hlavní autori: Ababneh, Mustafa, Aljarrah, Aayat, Karagozlu, Damla, Özdamlı, Fezile
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Novi Pazar UIKTEN - Association for Information Communication Technology Education and Science 01.02.2021
Predmet:
Academic achievement
Artificial intelligence
Big Data
Colleges & universities
Data analysis
Data mining
Education
ICT Information and Communications Technologies
Information systems
Learning management systems
Machine learning
Online instruction
School education
Secondary schools
Students
Success
Big Data Analysis
education
machine learning
student direction
Student information system
ISSN:2217-8309, 2217-8333
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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.
AbstractList 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.
Author Ababneh, Mustafa
Özdamlı, Fezile
Aljarrah, Aayat
Karagozlu, Damla
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education
machine learning
student direction
Student information system
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SubjectTerms Academic achievement
Artificial intelligence
Big Data
Colleges & universities
Data analysis
Data mining
Education
ICT Information and Communications Technologies
Information systems
Learning management systems
Machine learning
Online instruction
School education
Secondary schools
Students
Success
Title Guiding the Students in High School by Using Machine Learning
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