The Evaluation of Ecological Footprint Awareness Levels of Science and Technology Teacher Candidates by Artificial Neural Networks

Autor/inn/en	Benzer, Semra; Benzer, Recep; Birgül, Içten
Titel	The Evaluation of Ecological Footprint Awareness Levels of Science and Technology Teacher Candidates by Artificial Neural Networks
Quelle	(2018), (23 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Benzer, Semra) ORCID (Benzer, Recep) ORCID (Birgül, Içten)
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	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; Turkey + Suchen Sie Ihr Suchwort? Ökologie; Künstliche Intelligenz; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Schadstoffbelastung; Klima; Wandel; Conservation; Environment; Konservierung; Bewahung; Umwelt; Wissensbasis; Ausland; Science; Teacher; Teachers; Science teacher; Wissenschaft; Lehrer; Lehrerin; Lehrende; Technisch-naturwissenschaftlicher Unterricht; Schülerverhalten; Teaching method; Lehrmethode; Unterrichtsmethode; Geschlechterkonflikt; Lebensmittel; Verkehrswesen; Unterkunft; Wasser; Türkei
Abstract	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.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01