Negotiating disciplinary boundaries in engineering problem-solving practice

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dc.contributor.advisorShay, Suellenen_ZA
dc.contributor.advisorMaton, Karlen_ZA
dc.contributor.authorWolff, Karin Elizabethen_ZA
dc.date.accessioned2016-02-09T12:19:11Z
dc.date.available2016-02-09T12:19:11Z
dc.date.issued2015en_ZA
dc.descriptionIncludes bibliographical referencesen_ZA
dc.description.abstractThe impetus for this research is the well-documented current inability of Higher Education to facilitate the level of problem solving required in 21st century engineering practice. The research contends that there is insufficient understanding of the nature of and relationship between the significantly different forms of disciplinary knowledge underpinning engineering practice. Situated in the Sociology of Education, and drawing on the social realist concepts of knowledge structures (Bernstein, 2000) and epistemic relations (Maton, 2014), the research maps the topology of engineering problem-solving practice in order to illuminate how novice problem solvers engage in epistemic code shifting in different industrial contexts. The aim in mapping problem-solving practices from an epistemological perspective is to make an empirical contribution to rethinking the theory/practice relationship in multidisciplinary engineering curricula and pedagogy, particularly at the level of technician. A novel and pragmatic problem-solving model - integrated from a range of disciplines - forms the organising framework for a methodologically pluralist case-study approach. The research design draws on a metaphor from the empirical site (modular automation systems) and sees the analysis of twelve matched cases in three categories. Case-study data consist of questionnaire texts, re-enactment interviews, expert verification interviews, and industry literature. The problem-solving model components (problem solver, problem environment, problem structure and problem-solving process) were analysed using, primarily, the Legitimation Code Theory concept of epistemic relations. This is a Cartesian plane-based instrument describing the nature of and relations between a phenomenon (what) and ways of approaching the phenomenon (how). Data analyses are presented as graphical relational maps of different practitioner knowledge practices in different contexts across three problem solving stages: approach, analysis and synthesis. Key findings demonstrate a symbiotic, structuring relationship between the 'what' and the 'how' of the problem in relation to the problem-solving components. Successful problem solving relies on the recognition of these relationships and the realisation of appropriate practice code conventions, as held to be legitimate both epistemologically and contextually. Successful practitioners engage in explicit code-shifting, generally drawing on a priori physics and mathematics-based knowledge, while acquiring a posteriori context-specific logic-based knowledge. High-achieving practitioners across these disciplinary domains demonstrate iterative code-shifting practices and discursive sensitivity. Recommendations for engineering education include the valuing of disciplinary differences and the acknowledgement of contextual complexity. It is suggested that the nature of engineering mathematics as currently taught and the role of mathematical thinking in enabling successful engineering problem-solving practice be investigated.en_ZA
dc.identifier.apacitationWolff, K. E. (2015). <i>Negotiating disciplinary boundaries in engineering problem-solving practice</i>. (Thesis). University of Cape Town ,Faculty of Humanities ,School of Education. Retrieved from http://hdl.handle.net/11427/16937en_ZA
dc.identifier.chicagocitationWolff, Karin Elizabeth. <i>"Negotiating disciplinary boundaries in engineering problem-solving practice."</i> Thesis., University of Cape Town ,Faculty of Humanities ,School of Education, 2015. http://hdl.handle.net/11427/16937en_ZA
dc.identifier.citationWolff, K. 2015. Negotiating disciplinary boundaries in engineering problem-solving practice. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Wolff, Karin Elizabeth AB - The impetus for this research is the well-documented current inability of Higher Education to facilitate the level of problem solving required in 21st century engineering practice. The research contends that there is insufficient understanding of the nature of and relationship between the significantly different forms of disciplinary knowledge underpinning engineering practice. Situated in the Sociology of Education, and drawing on the social realist concepts of knowledge structures (Bernstein, 2000) and epistemic relations (Maton, 2014), the research maps the topology of engineering problem-solving practice in order to illuminate how novice problem solvers engage in epistemic code shifting in different industrial contexts. The aim in mapping problem-solving practices from an epistemological perspective is to make an empirical contribution to rethinking the theory/practice relationship in multidisciplinary engineering curricula and pedagogy, particularly at the level of technician. A novel and pragmatic problem-solving model - integrated from a range of disciplines - forms the organising framework for a methodologically pluralist case-study approach. The research design draws on a metaphor from the empirical site (modular automation systems) and sees the analysis of twelve matched cases in three categories. Case-study data consist of questionnaire texts, re-enactment interviews, expert verification interviews, and industry literature. The problem-solving model components (problem solver, problem environment, problem structure and problem-solving process) were analysed using, primarily, the Legitimation Code Theory concept of epistemic relations. This is a Cartesian plane-based instrument describing the nature of and relations between a phenomenon (what) and ways of approaching the phenomenon (how). Data analyses are presented as graphical relational maps of different practitioner knowledge practices in different contexts across three problem solving stages: approach, analysis and synthesis. Key findings demonstrate a symbiotic, structuring relationship between the 'what' and the 'how' of the problem in relation to the problem-solving components. Successful problem solving relies on the recognition of these relationships and the realisation of appropriate practice code conventions, as held to be legitimate both epistemologically and contextually. Successful practitioners engage in explicit code-shifting, generally drawing on a priori physics and mathematics-based knowledge, while acquiring a posteriori context-specific logic-based knowledge. High-achieving practitioners across these disciplinary domains demonstrate iterative code-shifting practices and discursive sensitivity. Recommendations for engineering education include the valuing of disciplinary differences and the acknowledgement of contextual complexity. It is suggested that the nature of engineering mathematics as currently taught and the role of mathematical thinking in enabling successful engineering problem-solving practice be investigated. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Negotiating disciplinary boundaries in engineering problem-solving practice TI - Negotiating disciplinary boundaries in engineering problem-solving practice UR - http://hdl.handle.net/11427/16937 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/16937
dc.identifier.vancouvercitationWolff KE. Negotiating disciplinary boundaries in engineering problem-solving practice. [Thesis]. University of Cape Town ,Faculty of Humanities ,School of Education, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/16937en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Educationen_ZA
dc.publisher.facultyFaculty of Humanitiesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEducationen_ZA
dc.titleNegotiating disciplinary boundaries in engineering problem-solving practiceen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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