Social connectedness, collaborative learning and student performance in an academic development programme

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dc.contributor.advisorGoodman, Sukien_ZA
dc.contributor.authorPatsika, Natashaen_ZA
dc.date.accessioned2016-03-30T14:49:21Z
dc.date.available2016-03-30T14:49:21Z
dc.date.issued2009en_ZA
dc.description.abstractThis study investigated the relationship between social connectedness, collaborative learning and the academic performance of students in an academic development (AD) programme at a South African university. A final sample of 119 students responded to a survey questionnaire containing the campus connectedness scale and the collaborative learning scale, each measured on a six-point Likert scale. A multiple regression analysis revealed that social connectedness is a significant predictor of academic performance, which was measured using grade point average (GPA). The study found that collaborative learning did not contribute to variations in GPA, however it did relate positively to social connectedness. The results provide useful information to staff in the AD programme about elements of the programme that are succeeding in supporting student achievement. Includes bibliographical references (pages 49-54).en_ZA
dc.identifier.apacitationPatsika, N. (2009). <i>Social connectedness, collaborative learning and student performance in an academic development programme</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Organisational Psychology. Retrieved from http://hdl.handle.net/11427/18424en_ZA
dc.identifier.chicagocitationPatsika, Natasha. <i>"Social connectedness, collaborative learning and student performance in an academic development programme."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Organisational Psychology, 2009. http://hdl.handle.net/11427/18424en_ZA
dc.identifier.citationPatsika, N. 2009. Social connectedness, collaborative learning and student performance in an academic development programme. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Patsika, Natasha AB - This study investigated the relationship between social connectedness, collaborative learning and the academic performance of students in an academic development (AD) programme at a South African university. A final sample of 119 students responded to a survey questionnaire containing the campus connectedness scale and the collaborative learning scale, each measured on a six-point Likert scale. A multiple regression analysis revealed that social connectedness is a significant predictor of academic performance, which was measured using grade point average (GPA). The study found that collaborative learning did not contribute to variations in GPA, however it did relate positively to social connectedness. The results provide useful information to staff in the AD programme about elements of the programme that are succeeding in supporting student achievement. Includes bibliographical references (pages 49-54). DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Social connectedness, collaborative learning and student performance in an academic development programme TI - Social connectedness, collaborative learning and student performance in an academic development programme UR - http://hdl.handle.net/11427/18424 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/18424
dc.identifier.vancouvercitationPatsika N. Social connectedness, collaborative learning and student performance in an academic development programme. [Thesis]. University of Cape Town ,Faculty of Commerce ,Organisational Psychology, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/18424en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentOrganisational Psychologyen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherOrganisational Psychologyen_ZA
dc.titleSocial connectedness, collaborative learning and student performance in an academic development programmeen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMSocScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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