A Taxonomy of Factors Affecting Attitudes towards Educational Technologies for Use with Technology Acceptance Models

Autor/inn/en	Kemp, Andrew; Palmer, Edward; Strelan, Peter
Titel	A Taxonomy of Factors Affecting Attitudes towards Educational Technologies for Use with Technology Acceptance Models
Quelle	In: British Journal of Educational Technology, 50 (2019) 5, S.2394-2413 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kemp, Andrew) ORCID (Palmer, Edward) ORCID (Strelan, Peter)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0007-1013
DOI	10.1111/bjet.12833
Schlagwörter	Computer Attitudes; Adoption (Ideas); Student Attitudes; College Students; College Faculty; Teacher Attitudes; Educational Technology; Taxonomy; Benchmarking + Suchen Sie Ihr Suchwort? Ideas; Ideenfindung; Schülerverhalten; Collegestudent; Fakultät; Lehrerverhalten; Unterrichtsmedien; Taxonomie
Abstract	The aim of this theoretical review was to identify the important factors shown to affect attitudes towards use of educational technologies by students or educators in higher education institutions and organise them into broad, intermediate and narrow groupings. This was done to assist the construction of more objective measurement instruments used in the evaluation of educational technologies. A qualitative review of the influential factors that affect user attitudes, intentions and motivations to use educational technologies was conducted, first by interrogating the fundamental behavioural theories underpinning technology acceptance models, and then by exploring the findings of later and contemporary empirical research conducted in the educational context. Identified factors were grouped to produce an ordered taxonomy of measurement constructs. This taxonomy provides each construct's lineage back through tertiary, secondary and primary taxonomic groups and provides a greater scope of measurement than commonly used models. Seven primary and twenty two secondary and tertiary taxonomic groups were defined, which collectively comprise sixty one measurement constructs. The taxonomy is designed to reduce measurement bias within studies and also acts as a basis for consistent and objective benchmarking within and across institutions. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01