“Doctoral education is transforming” say Ohlson and Bernhard (2023: 523). The “traditional doctoral training and research mode is facing some challenges in meeting the industry needs in this fasting changing economy” indicate Chen et al (2008: 129). They point out that “there is greater pressure for research to be linked to applied usage, be aligned with private-sector or government objectives and to have shared intellectual property arrangements”. Treptow (2013: 83) reiterates this saying “current international trends reveal that doctoral education is increasingly expected to satisfy workplace demands”. There is furthermore an “expanding job market for PhD holders entering entirely new fields” say Chen et al (2008: 129), and “pressure on doctoral training to be more flexible and aimed at a wider array of jobs than the traditional academic profession”. Project doctoral programmes furthermore evolved, having “greater emphasis on research conducted and directed within the workplace” and both professional and project doctoral candidates tend to “research topics that are closely associated with the context of their workplace” that “bring together the academy and the workplace with an emphasis on professional practice” (p. 130). Because of these reasons the Work Integrated Research Higher Degree (WIRHD) has emerged “and is intended to be a significant piece of original research which makes a new contribution to science and the discipline”. Chen et al (2008: 133), as well as Stewart and Chen (2009: 162), present a graphical illustration (Figure 1 below) of the integrative framework comprising the unique components of the WIHRD contexts.
The solid-line circle represents the powerful supervisor-student relationship which should enjoy prominence; however the research involves both the academic and industry contexts, therefore the second dotted-line circle, portraying the industry supervisor. WIRHD “is nested within three-tiers of department/discipline, University/Organisation and social/supra-societal contexts”. The establishment of a project-based partnership arrangement between the university and the industry is deemed necessary to enhance communication and co-operation. Furthermore, a structured approach to enable the student and the supervisors to specify the objectives; to outline the duties and roles of both students and supervisors; and to set “the principles and structures for performance monitoring, information exchange and dispute resolution”. Ohlson and Bernhard (2023: 523) studied “the perspectives of industrial PhD students, academia, and industry … with work-integrated learning as a theoretical lens to identify benefits, challenges, and prerequisites for how to structure and manage such a collaboration”.
In the South African context, section 34 of the Higher Education Qualifications Sub-Framework (HEQSF, 2014: 17) states that “Some qualifications will be designed to integrate theory and practice through the incorporation of work-integrated learning (WIL) into the curriculum … and may be incorporated into programmes at all levels of the HEQSF” (emphasis added). The higher education qualification descriptor (p. 38) for a Master's Degree (Professional, NQF Exit Level 9) states that “in some cases, a professional Master's degree may be designed in consultation with a professional body or fulfil all or part of the requirements for professional registration or recognition, and may include appropriate forms of work-integrated learning” (emphasis added). The descriptor for a Doctoral Degree (p. 40) states that “the designator of Philosophy is typically used for general doctoral degrees by thesis. However, other designators may be used to denote the area of study or the name of the discipline” and for Professional Doctoral degrees (p. 41) the qualification type may be followed by a designator that indicates the area of study or name of the discipline, for example, Doctor of Business Administration (DBA); Doctor of Commerce (DCom); Doctor of Education (DEd); Doctor of Engineering (DEng); Doctor of Law (LLD); Doctor of Nursing (DNursing); Doctor of Pharmacy (DPharm); Doctor of Psychology (DPsych); and Doctor of Social Work (DSW). Furthermore, that the PhD title should not be used; however, the qualification may include appropriate forms of work-integrated learning; the research component should comprise at least 60%; demonstrate a high level of research capability; and the application of theoretical knowledge to highly complex problems.
“Traditional doctoral research training is structured around a master and apprentice transmission model, relying predominantly on primary supervisors for candidate research training” say O'Connor (2023: 567) and indicate that “in this model, professional development of candidates typically centers on discipline-specific knowledge and research techniques”. “A new landscape for various models for doctoral education is emerging” say Ohlson and Bernhard (2023: 523) and add that “university-industry collaboration is a widespread phenomenon for education and innovation in response to societal challenges”. “There is a world-wide increase of alternative forms of doctoral education based on collaboration between academia and work-life such as the professional doctorate” they reiterate (p. 524). The “alternative doctoral training models aim to broaden PhD candidate training”, say O'Connor (2023: 567). “The concept of [work-integrated learning] WIL has developed over time and is today an umbrella term covering education, collaboration, and research” (p. 525). An “approach for university-industry collaboration is work-integrated learning (WIL)”, with an industrial PhD focus, where “industrial PhD students embody the collaborative interplay between education and work influencing organizational learning” (p. 524). However, there is potential “tension between the tasks, time, and cognitive load required to develop qualified researchers as discipline stewards” indicate O'Connor (2023: 568). The design and delivery need to occur in a careful, considered and evidence-based manner he states, and advocates “four emergent design principles for alternative doctoral training models” (p. 569), namely:
- An increased range/breadth of content experts that are providing training to PhD candidates
- The scope of WIL activities and content delivery should be broader than commercialisation
- Adequately scaffold the WIL activities of PhD candidates, keeping in mind their specific needs and be observant of changing needs at different stages of their research candidature
- Purposefully co-designed WIL activities, because simply placing research students in an industry environment would not necessarily translate into powerful learning experiences
O'Connor (2023: 568) also state that PhD candidates should be attracted from any research discipline for whom the additional training is beneficial; but to avoid candidates where prior employment and experience do not match the research programme. He further cautions about potential disengagement due to ineffectual content or WIL activities; as well as “stress due to inadequate communication or management of candidate and supervisor needs”. He recommends minimisation of cognitive overload and workload associated with additional training, but without compromising effectiveness, because “doctoral candidates already experience a variety of stressors inherent to their PhD studies”. He indicates that “alternative doctoral training programs require resources, support systems, qualified personnel, peer networks, and content”.
The focus of knowledge creation by universities gradually shifted because industry recognised the value of creating knowledge indicate Bernhard and Olsson (2023). “University–industry interactions in doctoral education are of importance for mutual life-long learning by integrating workplace learning and research redeveloping work practices related to new concepts, technologies and organizational principles” (p. 507) they add. Industrial PhD students “are spanning boundaries between university and industry generating continuous opportunities for validation and testing of empirical results and models in industry” state Bernhard and Olsson (2020: 147). As key stakeholders industrial PhD students “embody the informing flows between practice and university and between practice and research”, enabling the “short-lag dissemination of research results”, “may enable increased research quality”, and strengthen legitimacy.
Stewart and Chen (2009: 167) remark that the work integrated research higher degree (WIRHD) emerged in an informal manner “for contemporary research students to develop both high-level professional capabilities in a real industry environment as well as strong research skills, which create knowledge through original research of academic rigour”. WIRHD further ensures relevance of engineering doctorates.
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