Blended Training on Scientific Software: A Study on How Scientific Data Are Generated

Autor/inn/en	Skordaki, Efrosyni-Maria; Bainbridge, Susan
Titel	Blended Training on Scientific Software: A Study on How Scientific Data Are Generated
Quelle	In: International Review of Research in Open and Distributed Learning, 19 (2018) 2, S.228-252 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1492-3831
Schlagwörter	Computer Software; Blended Learning; Educational Technology; Technology Uses in Education; Grounded Theory; Qualitative Research; Comparative Analysis; Training; Comprehension; Distance Education; Interviews; Foreign Countries; Higher Education; Industry; Adults; Teaching Methods; Canada + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Qualitative Forschung; Ausbildung; Verstehen; Verständnis; Distance study; Distance learning; Fernunterricht; Interviewing; Interviewtechnik; Ausland; Hochschulbildung; Hochschulsystem; Hochschulwesen; Industrie; Teaching method; Lehrmethode; Unterrichtsmethode; Kanada
Abstract	This paper presents the results of a research study on scientific software training in blended learning environments. The investigation focused on training approaches followed by scientific software users whose goal is the reliable application of such software. A key issue in current literature is the requirement for a theory-substantiated training framework that will support knowledge sharing among scientific software users. This study followed a "grounded theory" research design in a qualitative methodology. Snowball sampling as well as purposive sampling methods were employed. Input from respondents with diverse education and experience was collected and analyzed with constant comparative analysis. The "scientific software training cycle" that results from this research encapsulates specific aptitudes and strategies that affect the users' in-depth understanding and professional growth regarding scientific software applications. The findings of this study indicate the importance of three key themes in designing training methods for successful application of scientific software: (a) "responsibility in comprehension"; (b) "discipline"; and (c) "ability to adapt." (As Provided).
Anmerkungen	Athabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01