ERIC Number: ED585240
Record Type: Non-Journal
Publication Date: 2018
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2148-7456
EISSN: N/A
Modeling Course Achievements of Elementary Education Teacher Candidates with Artificial Neural Networks
Akgün, Ergün; Demir, Metin
Online Submission, International Journal of Assessment Tools in Education v5 n3 p491-509 2018
In this study, it was aimed to predict elementary education teacher candidates' achievements in "Science and Technology Education I and II" courses by using artificial neural networks. It was also aimed to show the independent variables importance in the prediction. In the data set used in this study, variables of gender, type of education, field of study in high school and transcript information of 14 courses including end-of-term letter grades were collected. The fact that the artificial neural network performance in this study was R = 0.84 for the Science and Technology Education I course, and R = 0.84 for the Science and Technology Education II course shows that the network performance overlaps with the findings obtained from the related studies.
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Higher Education; Postsecondary Education; High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey
Grant or Contract Numbers: N/A