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Treffer: An Investigation on Students' Level of Adjustment to Online Education with C5.0 Decision Tree Algorithm

Title:
An Investigation on Students' Level of Adjustment to Online Education with C5.0 Decision Tree Algorithm
Language:
English
Authors:
Hark Söylemez, Nesrin (ORCID 0000-0002-6306-5595)
Source:
Shanlax International Journal of Education. Mar 2023 11(2):64-73.
Availability:
Shanlax International Journals. 66, V.P. Complex, T.P.K. Main Road, Near KVB Vasantha Nagar, Madurai Tamil Nadu 625003, India. e-mail: shanlaxjournals@gmail.com; Web site: http://www.shanlaxjournals.in/journals/index.php/education
Peer Reviewed:
Y
Page Count:
10
Publication Date:
2023
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
Elementary Education
Secondary Education
Descriptors:
Student Adjustment, Online Courses, COVID-19, Pandemics, College Students, Elementary School Students, Secondary School Students, Student Characteristics, Institutional Characteristics, Algorithms, Time, School Schedules, Socioeconomic Status, Age Differences, Instructional Program Divisions
ISSN:
2320-2653
2582-1334
Entry Date:
2023
Accession Number:
EJ1380184
Database:
ERIC

Weitere Informationen

This study aims to determine the independent variables that have a significant effect on the level of students' adaptation to online education and their order of importance. Relational screening model was used in the study. Adaptability Level in Online Education dataset provided by Kaggle repository constitutes the main data source for this study. C5.0 decision tree algorithm was used to analyze the data. It was found that that 51,867% of the students had a moderate level of adaptation to online education, while 39,834% had low, and 8,299% had a high level adaptation. The findings indicate that students' level of adaption to online learning is insufficient. We also found that the variable that best explains the online education compliance levels is daily class duration. "Financial condition" was found as the best explanatory variable of the cluster formed by the students whom "daily class duration" was between "1-3 hours". "Age" was found as the best explanatory variable of the cluster formed by the students whom "daily class duration" was between "1-3 hours" and has "financial condition" of "poor", "mid" and "rich".

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