Computer Literacy Learning Emotions of ODL Teacher-Students

Autor/inn/en	Esterhuizen, Hendrik D.; Blignaut, A. Seugnet; Els, Christo J.; Ellis, Suria M.
Titel	Computer Literacy Learning Emotions of ODL Teacher-Students
Quelle	(2012), (10 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	1-8800-9495-9
Schlagwörter	Foreign Countries; Computer Assisted Instruction; Computer Literacy; Computer Attitudes; Educational Technology; Technology Integration; Distance Education; Mixed Methods Research; Qualitative Research; Statistical Analysis; Models; Teacher Surveys; Disadvantaged; Inservice Teacher Education; Rural Schools; Educational Certificates; Coding; Teacher Workshops; Affective Behavior; Teacher Attitudes; Pedagogical Content Knowledge; South Africa + Suchen Sie Ihr Suchwort? Ausland; Computer based training; Computerunterstützter Unterricht; Computerkenntnisse; Unterrichtsmedien; Distance study; Distance learning; Fernunterricht; Qualitative Forschung; Statistische Analyse; Analogiemodell; Lehrerfortbildung; Rural area; Rural areas; School; Schools; Ländlicher Raum; Schule; Schulen; Bildungsabschluss; Schulzeugnis; Codierung; Programmierung; Affective disturbance; Active behaviour; Affektive Störung; Lehrerverhalten; Pädagogische Kompetenz; Südafrika; Süd-Afrika; Republik Südafrika; Südafrikanische Republik
Abstract	This paper addresses the affective human experiences in terms of the emotions of South African teacher-students while attaining computer competencies for teaching and learning, and for ODL. The full mixed method study investigated how computers contribute towards affective experiences of disadvantaged teacher-students. The purposive sample related to a criterion-based selection of N=339 teacher students attending supplementary computer literacy training which not only entailed the attainment of pedagogical knowledge and skills, but also of basic computer literacy skills for teaching and learning. Affective coding methods investigated subjective qualities of human experience. Qualitative emotion coding identified n = 31 emotion codes that categorized n = 1235 instances of computer literacy learning emotions. Quantitized qualitative data were used to quantitatively prove the validity of n = 29 emotion codes, before trustworthy qualitative discussion of findings were reported. A two dimensional Model for Computer Literacy Learning Emotions was developed from the cumulative results. (Contains 5 tables and 3 figures.) [For the complete proceedings, "EdMedia 2012: World Conference on Educational Multimedia, Hypermedia and Telecommunications. Proceedings (Denver, Colorado, June 26-29, 2012)," see ED539862.] (As Provided).
Anmerkungen	Association for the Advancement of Computing in Education. P.O. Box 1545, Chesapeake, VA 23327-1545. Tel: 757-366-5606; Fax: 703-997-8760; e-mail: info@aace.org; Web site: http://www.aace.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10