University Students' Subjective Knowledge of Green Computing and Pro-Environmental Behavior

Autor/inn/en	Ahmad, Tunku Badariah Tunku; Nordin, Mohamad Sahari
Titel	University Students' Subjective Knowledge of Green Computing and Pro-Environmental Behavior
Quelle	In: International Education Studies, 7 (2014) 2, S.64-74 (11 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1913-9020
Schlagwörter	Foreign Countries; Undergraduate Students; Knowledge Level; Computers; Energy Management; Environmental Education; Factor Analysis; Structural Equation Models; Componential Analysis; Vocabulary; Sanitation; Student Surveys; Malaysia + Suchen Sie Ihr Suchwort? Ausland; Wissensbasis; Digitalrechner; Energiehaushalt; Umweltbildung; Umwelterziehung; Umweltpädagogik; Faktorenanalyse; Wortschatz; Betriebshygiene; Schülerbefragung
Abstract	This cross-sectional survey examined the structure of university students' subjective knowledge of green computing--hypothesized to be a multidimensional construct with three important dimensions--and its association with pro-environmental behavior (PEB). Using a previously validated green computing questionnaire, data were collected from 842 undergraduate students attending ten different public universities in Malaysia. The sample was split into two random halves (n[subscript 1] = 400 and n[subscript 2] = 442) to allow for Factor Analysis procedures and Structural Equation Modeling (SEM) to be conducted. Principal Component Analysis extracted a three-factor structure of subjective knowledge consisting of knowledge about green computing (GC) vocabulary, computer nature or characteristics, and e-waste, while Confirmatory Factor Analysis procedures confirmed the structure's measurement validity. SEM fit statistics indicated a strong influence of subjective GC knowledge on PEB with its three extracted dimensions cumulatively explaining 37% of students' reported PEB. The results confirmed the study's hypotheses regarding the multidimensionality of subjective knowledge, the adequacy of the measurement model of subjective knowledge, and its strong positive role in influencing PEB. The article concludes with guidelines for future research in areas involving green computing, subjective knowledge and PEB with an emphasis on the conceptualization and measurement of each construct. (As Provided).
Anmerkungen	Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, ON M3J 3H7, Canada. Tel: 416-642-2606 Ext 206; Fax: 416-642-2608; e-mail: ies@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/es
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01