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dc.contributor.authorFrantz, Jose M.
dc.contributor.authorRhoda, Anthea
dc.contributor.authorDe Jongh, Jo-Celene
dc.date.accessioned2015-07-08T07:42:36Z
dc.date.available2015-07-08T07:42:36Z
dc.date.issued2013
dc.identifier.citationFrantz, J.M. ; Rhoda, A J. ; de Jongh, J. (2013). Using appreciative inquiry to develop a research capacity development programme. South African Journal Of Higer Education 27(1): 40–59en_US
dc.identifier.issn1011-3487
dc.identifier.urihttp://hdl.handle.net/10566/1528
dc.description.abstractWith academics struggling to find the balance between research and teaching, there is a need to identify strategies that would assist academics in making the necessary changes to manage their time. Appreciative Inquiry (AI) is a strength-based change process based on the premise that academics are change agents who possess knowledge and experience that can make a difference. This article proposes an AI methodological framework for an academic development strategy focussing on integrating research into teaching. Currently, few measures exist that focus on assisting academics in incorporating research into their teaching and learning practices. The article aims to describe the strategies used to initiate a process that builds on the positive experiences of academics in teaching in an environment where academics may become overwhelmed when focussing only on barriers. The process described focuses on the aims of the academic development programme at each stage as well as the roles of the participants. The AI approach is a novel framework that can be used to initiate research capacity building among academics.en_US
dc.language.isoenen_US
dc.publisherUnisa Pressen_US
dc.subjectAcademicsen_US
dc.subjectFaculty developmenten_US
dc.subjectAppreciative inquiryen_US
dc.subjectResearchen_US
dc.titleUsing appreciative inquiry to develop a research capacity development programmeen_US
dc.typeArticleen_US
dc.privacy.showsubmitterfalse
dc.status.ispeerreviewedtrue
dc.description.accreditationDepartment of HE and Training approved listen_US


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