Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Academic Achievement | 1 |
Artificial Intelligence | 1 |
Biology | 1 |
Chemistry | 1 |
Comparative Education | 1 |
Foreign Countries | 1 |
Grade 10 | 1 |
Grade 11 | 1 |
High School Students | 1 |
Physics | 1 |
Prediction | 1 |
More ▼ |
Source
Education and Information… | 1 |
Author
Yagci, Ali | 1 |
Çevik, Mustafa | 1 |
Publication Type
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Grade 10 | 1 |
Grade 11 | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Malaysia | 1 |
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yagci, Ali; Çevik, Mustafa – Education and Information Technologies, 2019
This study aims to predict the academic achievements of Turkish and Malaysian vocational and technical high school (VTS) students in science courses (physics, chemistry and biology) through artificial neural networks (ANN) and to put forth the measures to be taken against their failure. The study population consisted of 10th and 11th grade 922 VTS…
Descriptors: Prediction, Academic Achievement, Technical Education, Vocational High Schools