ERIC Number: ED599084
Record Type: Non-Journal
Publication Date: 2018-Oct-8
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-
EISSN: N/A
Available Date: N/A
The Evaluation of Ecological Footprint Awareness Levels of Science and Technology Teacher Candidates by Artificial Neural Networks
Online Submission
A disproportionate increase in world population brings with its skewed urbanization and industrialization. This causes various environmental problems such as destruction of natural areas, environmental pollution, seasonal changes, global warming, ozone depletion. In addition, people's unconscious and unpredictable approach to the issue triggers environmental problems. The aim of this study is to determine whether there is a difference between the science and technology teacher candidate's ecological footprint awareness levels with ANNs which is used as an effective prediction method in various sectors and as an alternative for traditional methods in the field of education. [This chapter was published in: T. Çetin, E. Hamzaoglu, Y. Dikmenli & B. Kilcan (Eds.), "New Horizons in Educational Sciences" (pp. 111-124). ISBN: 978-6-0569-0479-0. Klaipeda, Lithuania: SRA Academic Publishing.]
Descriptors: Ecology, Preservice Teachers, Artificial Intelligence, Educational Technology, Technology Uses in Education, Pollution, Climate, Change, Conservation (Environment), Knowledge Level, Foreign Countries, Science Teachers, Technology Education, Student Attitudes, Teaching Methods, Gender Differences, Food, Transportation, Housing, Water
Publication Type: Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Turkey
Grant or Contract Numbers: N/A
Author Affiliations: N/A