Cited by 9Doctoral Education Challenges and SolutionsArtificial Intelligence in EducationEthics and Social Impacts of AI

Generative AI: reconfiguring supervision and doctoral research

Open access
Boyd, Philippa, Harding, Debs·2025·Buildings & Cities

Abstract

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

Crossref · 10.5334/bc.560

Cites

25 of 26 references verified0 citation errors · 1 not checkable

Statistics

Nothing to recompute.

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.

  • May combine two claims. 33
  • Classified as probably not a substantial claim. 45
  • May combine two claims.

    Premisecitation

    Academic 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 given

    There 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 data

    Supervisors 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    Concerns 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Findingnone given

    The 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 claim
  • May combine two claims.

    Findingown data

    Unspoken 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    In 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 claim
  • May combine two claims.

    Findingown data

    Academics 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 claim
  • May combine two claims.

    Findingown data

    Researchers were very concerned about breaching trust and being caught.

    “Researchers were very concerned about breaching trust and being caught.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Supervisors 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Reported 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Academics 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 claim
  • May combine two claims.

    Findingown data

    Trust 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Participants 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 claim
  • May combine two claims.

    Findingown data

    Most 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 claim
  • May combine two claims.

    Findingnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Some 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingown data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S4 (based).

    Findingnone given

    The 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingnone given

    Institutions 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Doctoral 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 claim
  • May combine two claims.

    Findingown data

    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-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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Findingreasoning

    Its 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    There 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Supervisors 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Academics 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    There 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 claim
  • May combine two claims.

    Findingnone given

    The 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 data

    There 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 claim
  • Classified as probably not a substantial claim.

    Findingnone given

    Academics 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Supervisors 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Fear 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Academics 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    ChatGPT 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 claim
  • May combine two claims.

    Findingown data

    All 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingreasoning

    Students 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Academic 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingnone given

    These 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    Interview 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    If 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 claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    Researchers 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 claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The 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 claim
  • May combine two claims.

    Interpretationreasoning

    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.

    “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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    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.

    “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 claim
  • May combine two claims.

    Interpretationreasoning

    This 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    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.

    “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 given

    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.

    “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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    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.

    “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).

    Interpretationreasoning

    Given 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    To 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 claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Ethical 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 claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisereasoning

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    Both 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
65 of 65
  • 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.”
8 of 8

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. 2014, Giddens’ theory of structuration, 201
  2. 2011, The researching, teaching, and learning, 55

Cited by

Sorted by citations

Authors
Boyd, P., & Harding, D.
Affiliations
  • University of the Built Environment (GB)
  • Heriot-Watt University (GB)
Corresponding author
Boyd, Philippa
Venue
Buildings & Cities
Published
2025-06-19
Volume
6
Issue
1
ISSN
2632-6655 (ISSN-L)
OpenAlex
W4411458681
Cited by
9
References
23
Citations by year
2026: 8 · 2025: 1
FWCI
11.45
Type
journal article
Language
en
Open access
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-29.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-29.

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