Generative AI: reconfiguring supervision and doctoral research
Open accessAbstract
The uptake of generative artificial intelligence (GenAI) tools has implications for doctoral research and academic publication practices within both construction management and the wider academic context. Unless these implications are understood, GenAI tools have the potential to disrupt traditional relationships between doctoral researchers and their academic supervisors. Rather than exploring the technical competence and reach of GenAI tools, this study explores the nature of these challenges. GenAI is explored from both supervisor and doctoral perspectives for how its integration into doctoral research processes might shift relationships and affect practice. Informed by structuration theory, the research uses mixed methods to map shifts in agency and structure resulting from the adoption of GenAI tools. Findings highlight that the often-unacknowledged use of GenAI in doctoral research can confer undue agency on the technology that disrupts traditional relationships in an unacknowledged way. The rapid but often unacknowledged uptake of GenAI within doctoral research comes with a lack of consideration of the emotional support ascribed by students to the technology. It is concluded that GenAI tools should be openly incorporated into research and practice in a transparent, integrated approach. Practice relevance This research has relevance to the academic community both within the built environment disciplines and more general pedagogical implications. The identification of concerns over the reach and rapidity of GenAI adoption exposes potential changes to relationships and practices. Academics will be able to understand the shifts in relationships between stakeholders and the possible ramifications. The research exposes an unacknowledged proliferation of GenAI use in doctoral research and its underlying role in providing surrogate emotional support to doctoral students. By giving voice to stakeholders, this research exposes the lack of ethical frameworks around the use of GenAI and the need to consider its open and supported use, and its impact on developing the technical understandings and communication of doctoral researchers. The research uncovers some of the debates, concerns and possibilities that GenAI can bring to doctoral research practice, so that they can be intentionally addressed.
AI snapshot
Written from the paper’s full text.
TL;DR
This mixed-methods, structuration-informed study explores how generative AI is reconfiguring doctoral supervision and research relationships. It finds that GenAI is often used covertly by doctoral students as emotional and pedagogic support, disrupting power, trust and knowledge dynamics while institutions lack clear guidance.
Key findings
- Doctoral students often used GenAI covertly, especially ChatGPT-type tools, as a “surrogate mentor,” “invisible safety net” or “digital interlocutor” for emotional support and confidence; this gave the technology unrecognised agency and risked sidelining relational depth in supervision. In the survey, all except two student respondents used GenAI, most using two or three classification types, with the majority using ChatGPT-type tools; all responding supervisors used multiple GenAI classification types.
- Supervisors acknowledged power disparities and the importance of trust, but no supervisors evinced concern that GenAI eroded their power; all supervisor questionnaire respondents reported being moderately or very comfortable with doctoral students’ GenAI use. Yet interview participants were less prepared to discuss their own GenAI use and generally kept it at a distance, with “no data-driven explanation for this differential.”
- Ethical and legitimation concerns were prominent: students feared being caught or accused of cheating, unspoken rules caused confusion, and participants called for clear institutional policies. The paper concludes that GenAI should be openly incorporated into research and practice in a transparent, integrated way rather than remaining hidden.
- The diarised case showed that extensive ChatGPT use helped develop reflexive knowledge, reduced isolation and allowed re-evaluation of the meaning and value of supervisory relationships, supporting claims about improved student autonomy.
Methods
- Mixed-methods ethnographic exploration informed by structuration theory. Data came from a previous scoping study (n = 12): diarised notes from a doctoral researcher’s eight-month GenAI journey, plus semi-structured interviews with 7 academic supervisors and 5 doctoral researchers at different stages from four institutions in the UK and Ireland, in 50-minute sessions.
- The research expanded to an open survey (n = 14) of doctoral students and supervisors from a broader pool of institutions, evenly split between supervisors and doctoral researchers. The questionnaire had 16 closed questions using five- or six-point ratings and five open-ended questions; it was open for three weeks via Survey Monkey, one UK institution’s School of the Built Environment, LinkedIn and personal networks.
- Both datasets were analysed using the same elements of structuration theory: structure considered as power, signification and legitimation; agency considered as reflexive and discursive knowledge and constraints.
Limitations
- Stated: the study has a small dataset and is limited in scope; important questions about the accuracy and potential of GenAI remain unanswered; data are not made available due to confidentiality and anonymity assurances.
- Evident: the survey sample is small (n = 14) and recruited through LinkedIn, personal networks and one UK institution, limiting representativeness; interview participants were less willing to discuss GenAI use than survey respondents, and the paper states there is no data-driven explanation for this differential.
- Evident: findings rely on self-report and a small qualitative sample, so the study does not aim to evaluate GenAI tools’ technical benefits or inadequacies per se, and its conclusions are exploratory rather than generalisable.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
3 of 7 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Interpretationown data
The diarised case further supports Cowling et al.'s (2023) assertions on improved student autonomy.
“For the diarised case, the extensive use of GenAI helped to develop generalised reflexive knowledge about the landscape of research and further supports Cowling et al.'s (2023) assertions on improved student autonomy.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Cowling et al.'s (2023) source
- Premisecitation
Time constraints in modern academia make it increasingly hard for supervisors to find the time to enact the three roles of supervision: academic supervision, coaching and mentoring.
“Time constraints in modern academia make it increasingly hard for supervisors to find the time to enact the three roles of supervision: academic supervision, coaching and mentoring (Wadee et al. 2010).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Wadee et al. 2010
Section 2.1 (Introduction; page unavailable) says institutional time pressures and interruptions prevent supervisors from interacting optimally with postgraduate students. Section 6.4 (Integration; page unavailable) describes supervision, coaching and mentoring as three roles a supervisor can combine. The copy does not establish that time constraints are increasing or specifically prevent supervisors from carrying out all three roles. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingown data
The diarised case showed that where time was spent understanding and developing new rules of engagement relating to the use of GenAI, a deeper understanding and faster coverage of ground was possible within the ethical permissions of doctoral research.
“Interestingly the diarised case showed that where time was spent understanding and developing new rules of engagement relating to the use of GenAI, a deeper understanding and faster coverage of ground was possible within the ethical permissions of doctoral research.”
Quote in the paperSubstantial claim - Findingown data
The research exposes the lack of ethical frameworks around the use of GenAI.
“By giving voice to stakeholders, this research exposes the lack of ethical frameworks around the use of GenAI and the need to consider its open and supported use, and its impact on developing the technical understandings and communication of doctoral researchers.”
Quote in the paperSubstantial claim - Findingcitation
This research shows that students increasingly frame GenAI as an invisible tutor: present at drafting sessions but absent from the official narrative of supervision.
“This research shows that, as Harding & Boyd (2024) suggest, students increasingly frame GenAI as an invisible tutor: present at drafting sessions but absent from the official narrative of supervision.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Harding & Boyd (2024)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
Doctoral researchers relied on supervisors to lead the development of their reflexive knowledge.
“Doctoral researchers relied on supervisors to lead the development of their reflexive knowledge, but were also committed to developing their own fund of knowledge through traditional research methods.”
Quote in the paperNot a substantial claim - Findingown data
Those participants who had dabbled in the technology had only used the free ChatGPT 3.5 version.
“Those participants who had dabbled in the technology had only used the free ChatGPT 3.5 version and admitted to being very time poor when it came to exploring its potential.”
Quote in the paperNot a substantial claim - Findingnone given
A key concern over the use of GenAI concerned the area of legitimation norms and rules.
“A key concern over the use of GenAI concerned the area of legitimation norms and rules.”
Quote in the paperSubstantial claim - Findingown data
The diarised study showed that the experience of using GenAI allowed a re-evaluation of the meaning and value of supervisory relationships.
“Conversely the diarised study showed that the experience of using GenAI allowed a re-evaluation of the meaning and value of supervisory relationships.”
Quote in the paperSubstantial claim - Findingown data
Academic supervisors were sceptical about GenAI's depth and reliability for facilitating academically rigorous work and critical thinking.
“They emphasised the importance of facilitating growth rather than merely transferring knowledge and were sceptical about GenAI's depth and reliability for facilitating academically rigorous work and critical thinking.”
Quote in the paperNot a substantial claim - Findingnone given
Neither supervisors nor doctoral researchers generally invested time in developing reflexive knowledge around GenAI.
“Neither supervisors nor doctoral researchers generally invested time in developing reflexive knowledge around GenAI.”
Quote in the paperNot a substantial claim - Findingown data
Academic supervisors ascribed clear meanings to supervision relationships.
“Academic supervisors ascribed clear meanings to supervision relationships and to some extent were comfortable (or at least resigned) with the time-pressured nature of these relationships.”
Quote in the paperNot a substantial claim - Findingreasoning
In most cases, the relationships were often stressed by being compressed into bite-sized episodes.
“In most cases this meant that the relationships were often stressed by being compressed into bite-sized episodes.”
Quote in the paperNot a substantial claim - Findingown data
Fear of failure, fear of disappointing their supervisors and worries about making sufficient progress gave rise to anxiety before supervisory meetings, particularly when the supervisor's style was more outcome focused.
“Fear of failure, fear of disappointing their supervisors and worries about making sufficient progress gave rise to anxiety before supervisory meetings, particularly when the supervisors style was more outcome focused:”
Quote in the paperNot a substantial claim - Findingnone given
There is no data-driven explanation for the differential between survey and interview reports of GenAI use.
“There is no data-driven explanation for this differential.”
Quote in the paperNot a substantial claim - Findingown data
Supervisors acknowledged their role in developing doctoral researchers' reflexive knowledge.
“Supervisors acknowledged their role in developing doctoral researchers' reflexive knowledge, but acknowledged too that students found it difficult to become independent thinkers in unfamiliar areas.”
Quote in the paperNot a substantial claim - Findingown data
Supervisors considered that their power shifted throughout the doctoral research journey.
“Supervisors acknowledged the disparity in power between themselves and their doctoral researchers, but considered that this power shifted throughout the doctoral research journey.”
Quote in the paperNot a substantial claim - Findingown data
Supervisors acknowledged that they themselves had little time to invest in understanding and driving the GenAI tools.
“The main constraint cited by supervisors was the time-poor nature of their work, and they could see the benefits of using GenAI in these cases, although they also acknowledged that they themselves had little time to invest in understanding and driving the GenAI tools:”
Quote in the paperNot a substantial claim - Findingnone given
The majority of respondents (through both interview and survey) found the issues surrounding the use of tools such as ChatGPT to be particularly complex.
“The majority of the respondents (through both interview and survey) found the issues surrounding the use of tools such as ChatGPT to be particularly complex.”
Quote in the paperNot a substantial claim - Findingown data
The main constraint cited by supervisors was the time-poor nature of their work.
“The main constraint cited by supervisors was the time-poor nature of their work, and they could see the benefits of using GenAI in these cases, although they also acknowledged that they themselves had little time to invest in understanding and driving the GenAI tools:”
Quote in the paperNot a substantial claim - Findingown data
Academics were cautious in knowing how to understand the true level of their student's understanding.
“Academics generally understood how GenAI could help students communicate their work, and so benefit more from input during supervision sessions, but were cautious in knowing how to understand the true level of their student's understanding:”
Quote in the paperNot a substantial claim - Findingown data
Students described how using GenAI-in this case ChatGPT-helped to reduce this fear.
“Students described how using GenAI-in this case ChatGPT-helped to reduce this fear:”
Quote in the paperSubstantial claim - Findingnone given
Doctoral researchers were committed to developing their own fund of knowledge through traditional research methods.
“Doctoral researchers relied on supervisors to lead the development of their reflexive knowledge, but were also committed to developing their own fund of knowledge through traditional research methods.”
Quote in the paperNot a substantial claim - Findingown data
Doctoral researchers were very concerned about how use of GenAI might break the existing internalised norms and rules surrounding their research and relationships.
“Doctoral researchers were very concerned about how use of GenAI might break the existing internalised norms and rules surrounding their research and relationships.”
Quote in the paperSubstantial claim - Findingown data
Another form of fear was through use of GenAI itself-with doctoral researchers fearing the consequences of using the technology and being caught.
“Another form of fear was through use of GenAI itself-with doctoral researchers fearing the consequences of using the technology and being caught.”
Quote in the paperNot a substantial claim - Findingown data
For the diarised case, the extensive use of GenAI helped to develop generalised reflexive knowledge about the landscape of research.
“For the diarised case, the extensive use of GenAI helped to develop generalised reflexive knowledge about the landscape of research:”
- Also stated in: § 5. REFLECTIONS · plain
“For the diarised case, the extensive use of GenAI helped to develop generalised reflexive knowledge about the landscape of research and further supports Cowling et al.'s (2023) assertions on improved student autonomy.”
Quote in the paperNot a substantial claim - Also stated in: § 5. REFLECTIONS · plain
- Findingown data
Data from the diarised case study show how the use of GenAI shifted the power base towards empowering the student to move ahead, despite the power imbalance.
“Data from the diarised case study show how the use of GenAI shifted the power base towards empowering the student to move ahead, despite the power imbalance.”
Quote in the paperSubstantial claim - Findingown data
Doctoral researchers generally found discursive knowledge a hurdle in their supervisory relationships as they had so many new terms and ideas to integrate into their research 'vocabulary', whilst striving to appear intelligent.
“Doctoral researchers generally found this a hurdle in their supervisory relationships as they had so many new terms and ideas to integrate into their research 'vocabulary', whilst striving to appear intelligent.”
Quote in the paperNot a substantial claim - Findingown data
With the exception of the diarised case, doctoral researchers invested little time in developing reflexive knowledge around GenAI.
“With the exception of the diarised case, doctoral researchers invested little time in developing reflexive knowledge around GenAI.”
Quote in the paperSubstantial claim - Findingnone given
Only the respondents to the online survey admitted openly to using GenAI tools in their work.
“it was noticeable that only the respondents to the online survey admitted openly to using these tools in their work.”
Quote in the paperNot a substantial claim - Findingown data
The diarised study showed that using GenAI allowed a re-evaluation of the meaning and value of supervisory relationships.
“The diarised study also showed that using GenAI allowed a re-evaluation of the meaning and value of supervisory relationships, supporting Bin-Nashwan et al.'s (2023) assertion of the positive impacts of GenAI on researcher growth.”
Quote in the paperSubstantial claim - Findingown data
Most supervisors mentioned concerns about quality, authenticity and detection.
“Most mentioned concerns about quality, authenticity and detection.”
Quote in the paperNot a substantial claim - Findingown data
Supervisors acknowledged the disparity in power between themselves and their doctoral researchers.
“Supervisors acknowledged the disparity in power between themselves and their doctoral researchers, but considered that this power shifted throughout the doctoral research journey.”
Quote in the paperNot a substantial claim - Findingown data
Supervisors recognised that this was a developing relationship where their power diminished as the student progressed.
“They recognised that this was a developing relationship where their power diminished as the student progressed.”
Quote in the paperNot a substantial claim - Findingnone given
No supervisors evinced concern that the use of GenAI tools eroded their power in the relationship.
“No supervisors evinced concern that the use of GenAI tools eroded their power in the relationship.”
Quote in the paperNot a substantial claim - Findingnone given
Doctoral researchers in all cases mentioned the impact that lack of time and physical distance had on the relationship.
“Doctoral researchers in all cases mentioned the impact that lack of time and physical distance had on the relationship.”
Quote in the paperNot a substantial claim - Findingown data
Academic supervisors were comfortable (or at least resigned) with the time-pressured nature of these relationships.
“Academic supervisors ascribed clear meanings to supervision relationships and to some extent were comfortable (or at least resigned) with the time-pressured nature of these relationships.”
Quote in the paperNot a substantial claim - Findingnone given
Supervisors were mixed in their response to the impact of GenAI on the supervision process.
“Supervisors were mixed in their response to the impact of GenAI on the supervision process.”
Quote in the paperNot a substantial claim - Findingnone given
The key finding from this research is that doctoral students are (often covertly) using GenAI tools to support their emotional and discipline specific development.
“The key finding from this research is that doctoral students are (often covertly) using GenAI tools to support their emotional and discipline specific development.”
Quote in the paperNot a substantial claim - Findingown data
Those participants who had dabbled in the technology admitted to being very time poor when it came to exploring its potential.
“Those participants who had dabbled in the technology had only used the free ChatGPT 3.5 version and admitted to being very time poor when it came to exploring its potential.”
Quote in the paperNot a substantial claim - Findingown data
All supervisor respondents to the questionnaire reported themselves as either moderately or very comfortable with the use of GenAI by their doctoral students.
“Note that all supervisor respondents to the questionnaire reported themselves as either moderately or very comfortable with the use of GenAI by their doctoral students.”
Quote in the paperNot a substantial claim - Findingown data
Most participants admitted to being under-informed about GenAI and its capabilities.
“Most participants tended to refer to GenAI in a dismissive and negative context and had not encouraged its use, but admitted to being under-informed about GenAI and its capabilities.”
Quote in the paperNot a substantial claim - Findingown data
Many doctoral researchers demonstrated avoidance of, and reluctance to use, GenAI tools, or even to talk about them in supervision sessions.
“This was demonstrated by many of the doctoral researchers in their avoidance of, and reluctance to use, GenAI tools, or even to talk about them in supervision sessions:”
Quote in the paperSubstantial claim - Findingnone given
Both doctoral researchers and supervisors were very concerned about how the use of GenAI might break the existing internalised norms and rules surrounding their research and relationships.
“Both doctoral researchers and supervisors were very concerned about how the use of GenAI might break the existing internalised norms and rules surrounding their research and relationships.”
Quote in the paperSubstantial claim - Findingown data
Supervisors could see the benefits of using GenAI in time-poor cases.
“The main constraint cited by supervisors was the time-poor nature of their work, and they could see the benefits of using GenAI in these cases, although they also acknowledged that they themselves had little time to invest in understanding and driving the GenAI tools:”
Quote in the paperNot a substantial claim - Interpretationown data
This surrogate emotional and pedagogic support gives GenAI technologies unrecognised agency in shaping and mediating doctoral research practice.
“This surrogate emotional and pedagogic support gives GenAI technologies unrecognised agency in shaping and mediating doctoral research practice, and this has important implications for both the formation of the researcher and their relationships with their supervisors.”
Quote in the paperSubstantial claim - Interpretationown data
The often-unacknowledged use of GenAI in doctoral research can confer undue agency on the technology that disrupts traditional relationships in an unacknowledged way.
“Findings highlight that the often-unacknowledged use of GenAI in doctoral research can confer undue agency on the technology that disrupts traditional relationships in an unacknowledged way.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The use of GenAI in research is at present largely hidden, and this covert situation feeds confusion and mistrust, rather than bringing into the open the issues and challenges arising from the adoption of this technology.
- Interpretationreasoning
These findings on the relationship between trust and power support Manathunga's (2007) ideas on the masking of power behind other constructs.
“These findings on the relationship between trust and power support Manathunga's (2007) ideas on the masking of power behind other constructs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Manathunga's (2007) source
- Interpretationown data
The rapid but often unacknowledged uptake of GenAI within doctoral research comes with a lack of consideration of the emotional support ascribed by students to the technology.
“The rapid but often unacknowledged uptake of GenAI within doctoral research comes with a lack of consideration of the emotional support ascribed by students to the technology.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The use of GenAI in research is at present largely hidden, and this covert situation feeds confusion and mistrust, rather than bringing into the open the issues and challenges arising from the adoption of this technology.
- Interpretationown data
The diarised study supports Bin-Nashwan et al.'s (2023) assertion of the positive impacts of GenAI on researcher growth.
“The diarised study also showed that using GenAI allowed a re-evaluation of the meaning and value of supervisory relationships, supporting Bin-Nashwan et al.'s (2023) assertion of the positive impacts of GenAI on researcher growth.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bin-Nashwan et al.'s (2023) source
- May combine two claims. 33
- Classified as probably not a substantial claim. 45
May combine two claims.
PremisecitationAcademic discussion around the use of GenAI centres largely around concerns of plagiarism and poor academic practice, with some debate around considerations of bias and reliability and accuracy of outputs, although its use and impacts in higher education are gaining traction for pedagogic research agendas.
“Academic discussion around the use of GenAI centres largely around concerns of plagiarism and poor academic practice (Huallpa 2023), with some debate around considerations of bias and reliability and accuracy of outputs (Rane et al. 2023), although its use and impacts in higher education are gaining traction for pedagogic research agendas.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Huallpa 2023 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Rane et al. 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingnone givenThere is evidence from the research that doctoral researchers are filling this gap with GenAI-particularly ChatGPT and that the enrolment of this surrogate mentor is largely covert.
“There is evidence from the research that doctoral researchers are filling this gap with GenAI-particularly ChatGPTand that the enrolment of this surrogate mentor is largely covert.”
Quote in the paperNot a substantial claim- Rests on an assumption: Before the advent of GenAI, it was not unusual for doctoral researchers to enlist external coaching and mentoring support to spare embarrassment and translate supervisors' technical demands-either informally (social networks) or formally (paid coaches).
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSupervisors could see the value in using GenAI to develop student reflexive knowledge.
“Supervisors could see the value in using GenAI to develop student reflexive knowledge:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningConcerns around supervisors' ability to give feedback and comment at the right level arose.
“This gave rise to concerns around their ability to give feedback and comment at the right level:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Findingnone givenThe findings reflect an understanding by participants of the changing landscape of academic practices in the age of GenAI.
“The findings reflect an understanding by participants of the changing landscape of academic practices in the age of GenAI.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUnspoken rules around the use of GenAI led to confusion and its covert use.
“Unspoken rules around the use of GenAI led to confusion and its covert use:”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenIn the diarised study the researcher interrogated ChatGPT relentlessly and systematically to understand concepts and terms and to internalise their understanding.
“In the diarised study the researcher interrogated ChatGPT relentlessly and systematically to understand concepts and terms and to internalise their understanding.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAcademics generally understood how GenAI could help students communicate their work, and so benefit more from input during supervision sessions.
“Academics generally understood how GenAI could help students communicate their work, and so benefit more from input during supervision sessions, but were cautious in knowing how to understand the true level of their student's understanding:”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataResearchers were very concerned about breaching trust and being caught.
“Researchers were very concerned about breaching trust and being caught.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenDoctoral researchers and their supervisors express apprehension about an overreliance on GenAI, fearing it may risk data security and academic integrity, with a concern about the effect of GenAI on developing the authentic voice of the researcher.
“Doctoral researchers and their supervisors express apprehension about an overreliance on GenAI, fearing it may risk data security and academic integrity, with a concern about the effect of GenAI on developing the authentic voice of the researcher.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSupervisors were secure in believing in their researchers' integrity (which usually meant not using GenAI).
“Supervisors were secure in believing in their researchers' integrity (which usually meant not using GenAI), although one academic was clear about dealing with breaches in integrity:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe diarised case's interaction with ChatGPT alleviated the isolation experienced in PhD studies.
“This interaction also alleviated the isolation I experienced in PhD studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenReported adoption of GenAI tools is surprisingly patchy.
“GenAI tools can be used to streamline literature reviews, refine drafts, synthesise data, and correct grammar and syntax, but reported adoption of these tools is surprisingly patchy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAcademics recognised the need for different styles of supervision dependant on their student's needs.
“Academics recognised the need for different styles of supervision dependant on their student's needs:”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTrust was often spoken about-both personal trust in the integrity of the relationship and mistrust of the data generated by GenAI.
“Trust was often spoken about-both personal trust in the integrity of the relationship and mistrust of the data generated by GenAI.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataParticipants raised the need for clear policies and guidelines to ensure the responsible use of GenAI in research.
“Participants raised the need for clear policies and guidelines to ensure the responsible use of GenAI in research.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost participants tended to refer to GenAI in a dismissive and negative context and had not encouraged its use.
“Most participants tended to refer to GenAI in a dismissive and negative context and had not encouraged its use, but admitted to being under-informed about GenAI and its capabilities.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenDoctoral researchers relied on supervisors to lead the development for their reflexive knowledge, but were also committed to developing their own fund of knowledge through traditional research methods.
“Doctoral researchers relied on supervisors to lead the development for their reflexive knowledge, but were also committed to developing their own fund of knowledge through traditional research methods.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenSome doctoral researchers acknowledged that GenAI might play a role in pushing work further and faster by improving the quality of researcher-supervisor interactions.
“Some doctoral researchers acknowledged that GenAI might play a role in pushing work further and faster by improving the quality of researcher-supervisor interactions.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingown dataThree key themes emerged from the research: the influence of GenAI tools on relationships; the influence of GenAI on practices and processes; and ethical considerations and challenges.
“Three key themes emerged from the research: the influence of GenAI tools on relationships; the influence of GenAI on practices and processes; and ethical considerations and challenges:”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenThe starting point for this research was that the use of GenAI in research is at present largely hidden.
“The starting point for this research was that the use of generative artificial intelligence (GenAI) in research is at present largely hidden-and this rather covert situation feeds confusion and mistrust, rather than bringing into the open the many concerns felt by institutions, academics and doctoral researchers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenInstitutions are rolling out guidance and procedures to cover their teaching practices and requirements, but there remains little guidance on this technology.
“Institutions are rolling out guidance and procedures to cover their teaching practices and requirements, but there remains little guidance on this technology.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe data-collection process revealed cases in which GenAI was actively integrated into workflows, enhancing collaboration and transparency.
“Conversely, it revealed cases in which GenAI was actively integrated into workflows, enhancing collaboration and transparency.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenDoctoral researchers generally found the ability to communicate their knowledge as a hurdle in their supervisory relationships.
“Doctoral researchers generally found the ability to communicate their knowledge as a hurdle in their supervisory relationships.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll except two of the student respondents reported that they used GenAI tools, with most using two or three of the classification types, with the majority using ChatGPT-type tools.
“All except two of the student respondents reported that they used GenAI tools, with most using two or three of the classification types, with the majority using ChatGPT Boyd and Harding Buildings and Cities DOI: 10.5334/bc.560type tools.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDoctoral researchers ascribed clear meanings to supervision relationships and to some extent were comfortable (or at least resigned) with the time-pressured nature of these relationships.
“Doctoral researchers ascribed clear meanings to supervision relationships and to some extent were comfortable (or at least resigned) with the time-pressured nature of these relationships.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
FindingreasoningIts uses in this study do show where doctoral researchers need those human qualities the most.
“However, its uses in this study do show where doctoral researchers need those human qualities the most.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataStudents perceived power relationships within the supervision process as significant-with supervisors setting standards, asking difficult questions and having a knowledge base far exceeding that of the student.
“Students perceived power relationships within the supervision process as significant-with supervisors setting standards, asking difficult questions and having a knowledge base far exceeding that of the student.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was a cautious acceptance and recognition that GenAI may be a tool that can improve the process.
“There was a cautious acceptance and recognition that GenAI may be a tool that can improve the process:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSupervisors acknowledged that students found it difficult to become independent thinkers in unfamiliar areas.
“Supervisors acknowledged their role in developing doctoral researchers' reflexive knowledge, but acknowledged too that students found it difficult to become independent thinkers in unfamiliar areas.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAcademics pointed to a broader hesitation within the academic community about discussing or leveraging GenAI for more complex tasks due to stigma associated with its use.
“Academics also pointed to a broader hesitation within the academic community about discussing or leveraging GenAI for more complex tasks due to stigma associated with its use.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere was some recognition that the use of GenAI tools might affect both the relationship and the supervisory relationship.
“There was some recognition that the use of GenAI tools might affect both the relationship and the supervisory relationship:”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenThe research exposes an unacknowledged proliferation of GenAI use in doctoral research and its underlying role in providing surrogate emotional support to doctoral students.
“The research exposes an unacknowledged proliferation of GenAI use in doctoral research and its underlying role in providing surrogate emotional support to doctoral students.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The use of GenAI in research is at present largely hidden, and this covert situation feeds confusion and mistrust, rather than bringing into the open the issues and challenges arising from the adoption of this technology.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThere were clear advocates of students using GenAI tools to help develop their discursive knowledge.
“There were clear advocates of students using GenAI tools to help develop their discursive knowledge:”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenAcademics were concerned that the use of GenAI might break the existing internalised norms and rules surrounding research and relationships.
“Academics were concerned that the use of GenAI might break the existing internalised norms and rules surrounding research and relationships.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenSupervisors articulated the view that GenAI could take away the researcher's voice and so affect their student's future publication potential.
“Supervisors articulated the view that GenAI could take away the researcher's voice and so affect their student's future publication potential.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn most cases, GenAI was not seen to fit within this meaning, and it was cast as an untrustworthy interloper.
“In most cases, GenAI was not seen to fit within this meaning, and it was cast as an untrustworthy interloper.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe data-collection process captured instances where GenAI's contributions were unacknowledged, subtly shifting relational dynamics and processes.
“The data-collection process captured instances where GenAI's contributions were unacknowledged, subtly shifting relational dynamics and processes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFear and trust were mentioned as part of the power dynamic, with trust forming a key part of the dynamic.
“Fear and trust were also mentioned as part of this power dynamic, with trust forming a key part of the dynamic:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAcademics acknowledged how guiding students to using GenAI could save time in transmitting often repetitive terms and basic knowledge and terms.
“Academics also acknowledged how guiding students to using GenAI could save time in transmitting often repetitive terms and basic knowledge and terms:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataChatGPT served as a digital interlocutor, aiding in the conceptualisation and refinement of the diarised case's research focus.
“ChatGPT served as a digital interlocutor, aiding in the conceptualisation and refinement of my research focus.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll responding supervisors responded that they used multiple GenAI classification types, with the majority using ChatGPT-type tools.
“All responding supervisors responded that they used multiple GenAI classification types, with the majority using ChatGPT-type tools.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataParticipants voiced their general trust in their doctoral researchers' integrity and judgement regarding self-policing in the use of GenAI, although there were some more cautious voices.
“Interestingly, participants voiced their general trust in their doctoral researchers' integrity and judgement regarding self-policing in the use of GenAI, although there were some more cautious voices:”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
FindingreasoningStudents can be afraid to ask, unsure how to begin or unable to interpret what they have been told.
“It shows that students can be afraid to ask, unsure how to begin or unable to interpret what they have been told.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAcademic supervisors emphasised the importance of facilitating growth rather than merely transferring knowledge.
“They emphasised the importance of facilitating growth rather than merely transferring knowledge and were sceptical about GenAI's depth and reliability for facilitating academically rigorous work and critical thinking.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenThese tools can simultaneously enable autonomy and challenge institutional norms, with participants reflecting on the lack of institutional encouragement or regulation of GenAI use.
“These tools can simultaneously enable autonomy and challenge institutional norms, with participants reflecting on the lack of institutional encouragement or regulation of GenAI use.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Findingnone givenInterview participants were much less prepared to discuss their use of GenAI and in general reported to have kept it at a distance.
“Interview participants were much less prepared to discuss their use of GenAI and in general reported to have kept it at a distance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFear from academics centred on two aspects: their lack of understanding of the technology and the stigma associated with the use of GenAI from other academics.
“Fear from academics centred on two aspects: their lack of understanding of the technology and the stigma associated with the use of GenAI from other academics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenGenAI has not been used in this paper-neither in the synthesis of data nor in the development of text. The authors' use of AI was restricted to standard search engines and checks for spelling and grammar.
“GenAI has not been used in this paper-neither in the synthesis of data nor in the development of text.The authors' use of AI was restricted to standard search engines and checks for spelling and grammar.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIf GenAI is shaping academic practice so thoroughly, failing to acknowledge its presence may represent an oversight and an institutional blind spot.
“If GenAI is shaping academic practice so thoroughly, failing to acknowledge its presence may represent an oversight and an institutional blind spot.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenResearchers can gain greater independence through using GenAI tools, and this can challenge existing hierarchies.
“Researchers can gain greater independence through using GenAI tools, and this can challenge existing hierarchies.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe use of GenAI tools has the potential to reshape relationships and power dynamics in doctoral research.
“The use of GenAI tools has the potential to reshape relationships and power dynamics in doctoral research.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningWhen the use of GenAI is unacknowledged, its impact on the student and supervisor relationship becomes very powerful, fostering autonomy but risking the sidelining of relational depth and developmental aspects of supervisory relationships.
“When the use of GenAI is unacknowledged, its impact on the student and supervisor relationship becomes very powerful, fostering autonomy but risking the sidelining of relational depth and developmental aspects of supervisory relationships.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThey point towards a future where GenAI tools could play a significant role in shaping these practices, but also raise important questions about its effect on relationships and the openness of its use.
“They point towards a future where GenAI tools could play a significant role in shaping these practices, but also raise important questions about its effect on relationships and the openness of its use.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThis risks blurring the boundaries between supervisory knowledge and surrogate machine-learning support and could lead to presumed knowledge and imperfect understandings.
“This risks blurring the boundaries between supervisory knowledge and surrogate machine-learning support and could lead to presumed knowledge and imperfect understandings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThese are signals that GenAI may have a legitimate role to play in supporting supervision practices and doctoral researcher development within the context of a clear, ethical and well-thought-out institutional guidance.
“These are signals that GenAI may have a legitimate role to play in supporting supervision practices and doctoral researcher development within the context of a clear, ethical and well-thought-out institutional guidance.”
Quote in the paperNot a substantial claim- Rests on an assumption: GenAI cannot offer the mentorship, critical perspective or human warmth of a good supervisor.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Study design and conductnone givenAlthough this study has a small dataset, and is limited in its scope, it does bring into the open the many concerns felt by academics and doctoral researchers.
“Although this study has a small dataset, and is limited in its scope, it does bring into the open the many concerns felt by academics and doctoral researchers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe research points to key areas of concern in the concealment of GenAI in academia, and shows how doctoral researchers and their supervisors could benefit by collaboration in the open enrolment of GenAI into practice.
“The research points to key areas of concern in the concealment of GenAI in academia, and shows how doctoral researchers and their supervisors could benefit by collaboration in the open enrolment of GenAI into practice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenGenAI tools have the potential to significantly enhance productivity by automating repetitive tasks, allowing users to allocate more time to advanced intellectual or strategic activities.
“GenAI tools have the potential to significantly enhance productivity by automating repetitive tasks, allowing users to allocate more time to advanced intellectual or strategic activities.”
Quote in the paperNot a substantial claim- Rests on an assumption: GenAI tools can be used to streamline literature reviews, refine drafts, synthesise data, and correct grammar and syntax.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningGiven that GenAI tools are increasingly targeted to service particular skill sets required by researchers, and that the doctoral supervisory relationship is intricately bound up in developing these skill sets, it seems inevitable that GenAI tools will have an impact on the doctoral research journey and the supervisory relationship.
“Given that these tools are increasingly targeted to service particular skill sets required by researchers, and that the doctoral supervisory relationship is intricately bound up in developing these skill sets, it seems inevitable that GenAI tools will have an impact on the doctoral research journey and the supervisory relationship.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningTo balance the single source of data from the diarised case, semi-structured interviews gave a greater range and experiences of the use of GenAI.
“To balance this single source of data, semi-structured interviews gave a greater range and experiences of the use of GenAI.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenEthical concerns surrounding originality, accountability and data security underscore the normative structures that guide GenAI's integration.
“Ethical concerns surrounding originality, accountability and data security underscore the normative structures that guide GenAI's integration.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
PremisereasoningThis focus omits consideration of its significance to doctoral students in terms of student-supervisor relationships, the development and exchange of knowledge, and its effect on future academic aspects of research publication.
“This focus omits consideration of its significance to doctoral students in terms of student-supervisor relationships, the development and exchange of knowledge, and its effect on future academic aspects of research publication.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe research was granted ethical consent by the University of the Built Environment (number 240307).
“The research was granted ethical consent by the University of the Built Environment (number 240307).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningBoth datasets were analysed using the same elements of structuration theory, which gives coherence and structure to both phases of the research.
“Both datasets were analysed using the same elements of structuration theory.This continued use of one theory gives coherence and structure to both phases of the research.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The discourse around the doctoral research journey, including student-supervisor knowledge exchange and relationships, and the wider implications of GenAI use in doctoral studies, currently remains limited.
“The discourse around the doctoral research journey, including student-supervisor knowledge exchange and relationships, and the wider implications of GenAI use in doctoral studies, currently remains limited.”
The authors state this as an assumption.
The use of GenAI in research is at present largely hidden, and this covert situation feeds confusion and mistrust, rather than bringing into the open the issues and challenges arising from the adoption of this technology.
“The starting point here is that the use of GenAI in research is at present largely hidden, and this rather covert situation feeds confusion and mistrust, rather than bringing into the open the issues and challenges arising from the adoption of this technology.”
The paper relies on this without support.
Many academics and supervisors consider the use of AI to be divisive and are uneasy in talking about it or openly giving it a place in academia (although privately they may use it in their own work).
“Many academics and supervisors consider the use of AI to be divisive and are uneasy in talking about it or openly giving it a place in academia (although privately they may use it in their own work).”
The paper relies on this without support.
Doctoral researchers are very aware of institutional and academic disapproval of its use and are familiar with views loaded with concerns of plagiarism and cheating.
“Doctoral researchers are very aware of institutional and academic disapproval of its use and are familiar with views loaded with concerns of plagiarism and cheating.”
The paper relies on this without support.
Both researchers and supervisors can find the subject of using GenAI difficult to discuss because it can touch on issues of trust, knowledge and experience.
“Both researchers and supervisors can find the subject of using GenAI difficult to discuss because it can touch on issues of trust, knowledge and experience.”
The paper relies on this without support.
Before the advent of GenAI, it was not unusual for doctoral researchers to enlist external coaching and mentoring support to spare embarrassment and translate supervisors' technical demands-either informally (social networks) or formally (paid coaches).
“Before the advent of GenAI, it was not unusual for doctoral researchers to enlist external coaching and mentoring support to spare embarrassment and translate supervisors' technical demands-either informally (social networks) or formally (paid coaches).”
The paper relies on this without support.
GenAI tools can be used to streamline literature reviews, refine drafts, synthesise data, and correct grammar and syntax.
“GenAI tools can be used to streamline literature reviews, refine drafts, synthesise data, and correct grammar and syntax, but reported adoption of these tools is surprisingly patchy.”
The paper relies on this without support.
GenAI cannot offer the mentorship, critical perspective or human warmth of a good supervisor.
“GenAI cannot offer the mentorship, critical perspective or human warmth of a good supervisor.”
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- Authors
- Boyd, P., & Harding, D.
- Affiliations
- University of the Built Environment (GB)
- Heriot-Watt University (GB)
- Corresponding author
- Boyd, Philippa
- Venue
- Buildings & Cities
- Publisher
- Ubiquity Press, Ltd.
- Published
- 2025-06-19
- Volume
- 6
- Issue
- 1
- ISSN
- 2632-6655 (ISSN-L)
- OpenAlex
- W4411458681
- Semantic Scholar
- c67124d4ebb5fceb633259474525660065b117be
- Cited by
- 9
- References
- 23
- Citations by year
- 2026: 8 · 2025: 1
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Buildings and Cities (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Doctoral Education Challenges and Solutions
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- generative AI, doctoral supervision, doctoral research, academic supervision, construction management, structuration theory, technology agency, emotional support, ethical frameworks, AI adoption in academia, doctoral students, built environment
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