Sociodemographic Diversity and Distance Education: Who Drops out from Academic Programs and Why?

Autor/inn/en	Stoessel, Katharina; Ihme, Toni A.; Barbarino, Maria-Luisa; Fisseler, Björn; Stürmer, Stefan
Titel	Sociodemographic Diversity and Distance Education: Who Drops out from Academic Programs and Why?
Quelle	In: Research in Higher Education, 56 (2015) 3, S.228-246 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0361-0365
DOI	10.1007/s11162-014-9343-x
Schlagwörter	Foreign Countries; Higher Education; Distance Education; Nontraditional Students; At Risk Students; Student Attrition; Educational Technology; Surveys; College Graduates; Dropouts; Multiple Regression Analysis; Prediction; Probability; Student Characteristics; Socioeconomic Influences; Demography; Goal Orientation; Interaction; Gender Differences; Migrants; Student Employment; Age Differences; Child Rearing; Career Development; Individual Development; Germany + Suchen Sie Ihr Suchwort? Ausland; Hochschulbildung; Hochschulsystem; Hochschulwesen; Distance study; Distance learning; Fernunterricht; Schülerbeurlaubung; Unterrichtsmedien; Survey; Umfrage; Befragung; Hochschulabsolvent; Hochschulabsolventin; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; Vorhersage; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Sozioökonomischer Faktor; Demografie; Zielorientierung; Zielvorstellung; Interaktion; Geschlechterkonflikt; Migrantin; Studentenarbeit; Age; Difference; Age difference; Altersunterschied; Kindererziehung; Berufsentwicklung; Individuelle Entwicklung; Deutschland
Abstract	Current higher education is characterized by a proliferation of distance education programs and by an increasing inclusion of nontraditional students. In this study we investigated whether and to what extent nontraditional students are particularly at risk for attrition (vs. graduating) from distance education programs. We conducted a secondary analysis of cross-sectional institutional surveys deployed in the context of a public German distance teaching university among university graduates and dropouts (N = 4,599). Using binary-logistic multiple regression analyses, we predicted the likelihood of program attrition by students' membership in sociodemographic groups, their goal orientations, and the corresponding interactions. Results revealed higher risks to drop out from university for female, migrant, and fully-employed students, but lower risks for older and parent students. A higher importance of career development or personal development goals related to a lower risk for attrition. Moreover, data also provide evidence that among some student groups the likelihood to graduate (or to drop out) significantly depends on students' goal orientations. Results were robust across different academic faculties and were complemented by an analysis of dropout reasons. The practical implications of our findings are discussed with regard to designing equitable distance learning environments that value human diversity and quality of opportunity. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01