The Classification Method for Risks of Dropout Students: a Case Study of Vocational Students-Reference-Cited by-同舟云学术

The Classification Method for Risks of Dropout Students: a Case Study of Vocational Students

Published:2022-01-26 Issue: Volume: Page:
ISSN:
Container-title:2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
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Author:

Yaibuates Mayoon¹,Kantawong Krittika²,Pravesjit Sakkayaphop²,Yoddumnern Anekwong³,Chaichumpa Sataworn³

Affiliation:

1. Chiang Rai Rajabhat University,School of Computer and Information Technology,Chiang Rai,Thailand

2. University of Phayao,School of Information and Communication technology,Phayao,Thailand

3. Institute of Vocational Education Northern (Region 2),Chiangrai Vocational College,Chiang Rai,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9720291/9720292/09720395.pdf?arnumber=9720395

Reference15 articles.

1. Guidelines for preventing dropout of students, vocational certificate of Phranakhon Si Ayutthaya Technical College;chuchuay;Journal of educational administration and leadership,2021

2. School dropout problem and famjly's socioecomonic status of lower secondary students in pattani's public schools: its factors, perspectives, and solutions;cheama;Journal of MCU Nakhondhat,2021

3. Factors causing the college dropouts of valaya alongkorn rajabhat university under the royal patronage, sakaeo campus;chantawong;Valaya Alongkorn Review,2015

4. A comparative study of decision tree, Naive Bayesian and KNN classifier in data mining;patankar;International Journal of Advanced Research in Computer Science and Software Engineering,2014

5. Comparing the Predictive and Classification Performances of Logistic Regression and Neural Networks: A Case Study on Timss 2011

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