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Anyawee Chaiwachiragompol.. Interesting attributes of student performance using machine learning models based on family and educational backgrounds in the Faculty of Agriculture and Technology at Rajamangala University of Technology Isan. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2564.
Interesting attributes of student performance using machine learning models based on family and educational backgrounds in the Faculty of Agriculture and Technology at Rajamangala University of Technology Isan
Name: Sakchan Luangmaneerote.
Organization :
Rajamangala University of Technology Isan, Surin campus. Faculty of Agriculture and Technology
Organization :
Rajamangala University of Technology Isan, Surin campus. Faculty of Agriculture and Technology
keyword:
Education service system.
ThaSH:
ACADEMIC ACHIEVEMENT.
Abstract:
This research studied used six machine learning models to predict student performance and studied interesting attributes that cause influence students to achieve their degree based on their family background and background studies. The students data was obtained from Education service system (ESS) of University using data that was collected the last 5 years, and used five machine learning models to predict the student performance. Results had been clearly showed that the data related to students family collected in ESS is was not sufficient for accurate prediction, while student grades, course learning and their study location during high school is was a distinguishing feature caused influencing students to achieve their degrees. Additionally, the best accuracy result was Random forest which can predicted an accuracy of 0.62, while the other models did not show satisfactory results. The results of this research may enable the faculty to develop an improved database to predict student performance and promote faculty resource management."
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2564
Modified:
2024-09-03
Issued:
2022-01-13
บทความ/Article
application/pdf
BibliograpyCitation :
วารสารเทคโนโลยีสารสนเทศ. ปีที่ 17, ฉบับที่ 2 (ก.ค.-ธ.ค. 64), หน้า 11-20.
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.017952 วินาที
Sakchan Luangmaneerote.
Anyawee Chaiwachiragompol.
| Title | Contributor | Type |
|---|---|---|
| Interesting attributes of student performance using machine learning models based on family and educational backgrounds in the Faculty of Agriculture and Technology at Rajamangala University of Technology Isan
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sakchan Luangmaneerote.;Anyawee Chaiwachiragompol. | บทความ/Article |