A Fuzzy Logic-Based Quality Function Deployment for Selection of E-Learning Provider

Autor/inn/en	Kazancoglu, Yigit; Aksoy, Murat
Titel	A Fuzzy Logic-Based Quality Function Deployment for Selection of E-Learning Provider
Quelle	In: Turkish Online Journal of Educational Technology - TOJET, 10 (2011) 4, S.39-45 (7 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1303-6521
Schlagwörter	Expertise; Electronic Learning; Design Requirements; Distance Education; Educational Technology; Internet; Instructional Design; Lifelong Learning; Case Studies; Evaluation Criteria; Evaluation Methods; Computer Software Evaluation; Questionnaires; Statistical Analysis; Computer Software Selection; Web Based Instruction; Selection Tools; Vendors + Suchen Sie Ihr Suchwort? Expert appraisal; Design preferences; Gestaltungsmittel; Distance study; Distance learning; Fernunterricht; Unterrichtsmedien; Lesson concept; Lessonplan; Unterrichtsentwurf; Life-long learning; Lebenslanges Lernen; Case study; Fallstudie; Case Study; Softwareanalyse; Fragebogen; Statistische Analyse; Web Based Training; Auslesekriterium; Vendor; Anbieter
Abstract	According to the Internet World Stats (2010), the growth rate of internet usage in the world is 444.8 % from 2000 to 2010. Since the number of internet users is rapidly increasing with each passed year, e-learning is often identified with web-based learning. The institutions, which deliver e-learning service via the use of computer and internet, are responsible to choose the most suitable e-learning service provider for effective distance education. The purpose of this research is to identify the e-learning design requirements and to select the most suitable e-learning service provider. In this research, fuzzy logic-based Quality Function Deployment (QFD) was employed. A questionnaire was conducted in order to collect the data from a group of experts who were selected on the basis of their knowledge and expertise in related industry. By using the Converting Fuzzy data into Crisp Scores (CFCS) technique, the collected data was defuzzified. Then, the critical success factors of e-learning service providers were identified. As a result, fuzzy logic-based QFD was utilized for the selection of the e-learning service providers. (Contains 2 figures and 5 tables.) (As Provided).
Anmerkungen	Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: http://www.tojet.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10