Expert Practitioners Research Articles

Feasibility Test of Guided Inquiry Model Learning Devices Assisted by 3D Experimental Media on Sound Wave Material

This research aims to determine the feasibility of a guided inquiry model physics learning device assisted by 3D experimental media on sound wave material. The type of research used is research and development with a 4D research model. The products developed are syllabi, learning implementation plans (RPP), student worksheets (LKPD), and test instruments. Data collection was carried out through validation sheets of learning tools by expert validators and practitioners, and reliability analysis using percentage of agreement (PA). The validation results obtained show that the syllabus, RPP, LKPD and test instruments with an overall average of 86.29% are in very valid criteria and the results of the reliability analysis show that the overall average value of the learning tools is 93.32% in reliable criteria. Based on this, it can be concluded that the guided inquiry learning tool assisted by 3D experimental media is suitable for application in learning sound waves in the classroom.

Development of Instrument Soft Skill Assessment in Problem-Based Learning to Improve Students' Collaboration Skills, Communication Skills, and Social Skills

The research aims to produce the instrument soft skill assessment in problem-based learning that are valid, practical, and effective in assessing students' collaboration, communication, and social skills. This research uses the 4-D development model consisting of four stages: define, design, develop, and disseminate. At the define stage, a preliminary study is carried out in the form of a needs analysis and literature study, then the formulation of objectives. At the design stage, product determination is carried out, product design is created and the instrument soft skills assessment is designed. At the development stage, initial field tests are carried out in the form of expert validation, product revisions, main field tests to obtain data on the practicality and effectiveness of the product, then the final product is obtained. At the disseminate stage, product distribution was carried out on a large scale, but this research only reached the development stage due to limited research time. The research sample consists of tenth-grade students at SMA N 1 Padang Cermin, Lampung. Data collection techniques include methods such as self assessment questionnaires and documentation. Data analysis employs qualitative analysis with descriptive percentage for expert practitioner validation, effectiveness, and quantitative analysis using SPSS for effectiveness. The results of this study indicate that the instrument soft skill assessment in problem-based learning to improve students' collaboration, communication, and social skills in high schools are developed with theoretical, practical, and effective feasibility.

Pengembangan LKPD Berbasis Masalah untuk Meningkatkan Minat Belajar Peserta Didik Kelas IV Tahun Pelajaran 2023/2024

This research aims to determine the characteristics of LKPD based on mathematical sentences, determine the feasibility of LKPD products, and determine students' interest in learning after implementing LKPD based on math sentence problems in chapter 11 class IV. This type of research is Development Research (Research and Development) using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model and the resulting product is a mathematical sentence-based LKPD. This research involved 22 class IV students at SD Negeri 1 Pasung. The feasibility of the LKPD is tested with validation from expert practitioners, media and materials. Data collection used in this research was interviews, observations, questionnaires, tests and documentation. The interview sheet is used to analyze the needs of educators and students before preparing the product. The results of this research concluded that the LKPD has attractive design characteristics, diverse character traits, problem presentation in the form of dialogue, problem presentation stages that are in accordance with the PBL model, presentation of material in the form of videos and games. The feasibility of this LKPD is declared appropriate and not revised, because it is in accordance with the quality indicators of the LKPD content, media, materials and illustrations. Students' interest in learning increased by 41% after using this mathematical sentence problem-based worksheet.

Using chat GPT to evaluate police threats, risk and harm

General purpose artificial intelligence (GPAI) is a form of advanced AI system that includes the recently introduced ChatGPT. GPAI is known for its capacity to understand and emulate human responses, and potentially offers an opportunity to reduce human error when conducting tasks that involve analysis, judgement, and reasoning. To support officers to do this, the police presently use a range of decision-making support tools, one of which is called THRIVE (Threat, Harm, Risk, Investigation, Vulnerability, and Engagement). THRIVE is designed to provide police practitioners with a model to improve their identification and response to vulnerability. Despite the existence of such decision models, a 2020 meta-analysis of police cases resulting in death or serious injury identified contributory failures that included poor risk identification, risk management, failure to adhere to evidentiary processes, poor criminal investigations, and inadequate police engagement with victims, including the level of care and assistance provided (Allnock, et al, 2020). Importantly, this report outlined human error as being a major underpinning factor of the failures.Although GPAI offers an opportunity to improve analysis, judgement, and reasoning, such systems have not yet been tested in policing, a field where any reduction in human error, particularly in the assessment of threat, harm, risk, and vulnerability can potentially save lives. This study is the first attempt to do this by using the chain-of-thought prompt methodology to test the GPAI ChatGPT (3.5 vs 4) in a controlled environment using 30 life-like police scenarios, crafted, and analyzed by expert practitioners. In doing so, we identify that ChatGPT 4 significantly outperforms its 3.5 predecessor, indicating that GPAI presents considerable opportunity in policing. However, systems that use this technology require extensive directional prompting to ensure outputs that can be considered accurate, and therefore, potentially safe to utilize in an operational setting. The article concludes by discussing how practitioners and researchers can further refine police related chain-of-thought prompts or use application programming interfaces (APIs) to improve responses provided by such GPAI.

Movements that Matter: How Martial Arts Studies Can Reframe the Ethics of First-Blush Empathy

If empathy is how bodies resonate with one another, and ethics is what we are meant to do with that resonance, consideration of the ethics of empathy must begin with the split-second, non-conscious resonance between bodies: first-blush empathy. By combining the expertise of academics and practitioners of bodily knowledge, martial arts studies can distinctively consider how to cultivate the most ethical responses to others. This disciplinary argument takes physical form through a reading of a practice from Shotokan Aiki-karate-do that opposes hyper-attention to self or other with cultivated non-attention. To unpack these principles, the essay then uses philosophy of mind from to illustrate how attention provides a more compelling description of this initial bodily response to other bodies than intention. To most ethically engage others without imposing our own knowledge or self-absorption, we should cultivate deliberate habits of receptivity around first-blush empathy.

Development and validation of a technical skill score for internal version and total breech extraction of the second twin: An interventional prospective study.

To develop and test an Objective Structured Assessment of Technical Skills (OSATS) score for the internal version and total breech extraction of the second twin if in a non-engaged cephalic position. This prospective interventional study took place in a tertiary obstetrics department in France. An objective scoring system was developed, and a standardized simulation scenario was set up. Score evaluation was blinded and analyzed according to group and number of past successful vaginal twin deliveries in real life. A satisfaction evaluation was performed, based on the "Student Design Scale" questionnaire. Simulation was performed on 33 participants in three groups: novice group (15 first- and second-year residents), intermediate group (11 third- to sixth-year residents), and expert group (seven senior obstetricians). The total score obtained by experts was higher than that of the intermediate group (P = 0.001), which was higher than that of the novice group (P < 0.001). In the intermediate group, no correlation was found between OSATS score and number of past successful vaginal twin deliveries. Participants' satisfaction was excellent. The OSATS score developed was reliable and valid to evaluate an internal version and a total breech extraction of the second twin, and to differentiate novice, intermediate, and expert practitioners.

Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture

Context:Artificial Intelligence (AI) is pervasive in several application domains and promises to be even more diffused in the next decades. Developing high-quality AI-enabled systems — software systems embedding one or multiple AI components, algorithms, and models — could introduce critical challenges for mitigating specific risks related to the systems’ quality. Such development alone is insufficient to fully address socio-technical consequences and the need for rapid adaptation to evolutionary changes. Recent work proposed the concept of AI technical debt, a potential liability concerned with developing AI-enabled systems whose impact can affect the overall systems’ quality. While the problem of AI technical debt is rapidly gaining the attention of the software engineering research community, scientific knowledge that contributes to understanding and managing the matter is still limited. Objective:In this paper, we leverage the expertise of practitioners to offer useful insights to the research community, aiming to enhance researchers’ awareness about the detection and mitigation of AI technical debt. Our ultimate goal is to empower practitioners by providing them with tools and methods. Additionally, our study sheds light on novel aspects that practitioners might not be fully acquainted with, contributing to a deeper understanding of the subject. Method:We develop a survey study featuring 53 AI practitioners, in which we collect information on the practical prevalence, severity, and impact of AI technical debt issues affecting the code and the architecture other than the strategies applied by practitioners to identify and mitigate them. Results:The key findings of the study reveal the multiple impacts that AI technical debt issues may have on the quality of AI-enabled systems (e.g., the high negative impact that Undeclared consumers has on security, whereas Jumbled Model Architecture can induce the code to be hard to maintain) and the little support practitioners have to deal with them, limited to apply manual effort for identification and refactoring. Conclusion:We conclude the article by distilling lessons learned and actionable insights for researchers.

Examining the feasibility of advanced practice radiation therapy roles within the Singaporean healthcare arena: a joint UK-Singapore study

Background: Advanced clinical practice in UK healthcare has matured over recent years. The field now promotes multi-professional working and flexibility in patient care, which are significant factors of the modern healthcare workforce, due to the ongoing shortage of clinicians nationwide. In radiation oncology, the advanced practitioner radiographer role has been pivotal. Observing a rising necessity for similar roles in Singapore, officials from the National University Health System, Singapore, conducted a scientific visit to the UK to explore the implementation of UK advanced practice radiation therapist roles. Aims: The objective of the trip was to explore and learn about the infrastructure of the advanced practitioner radiographer role in the UK, with a view to establish similar positions in Singapore and improve service delivery within its healthcare system. Methods: During the scientific visit, Singaporean experts engaged in collaborative discussions with UK expert practitioners. These interactions centred on legislative frameworks, their applications and the educational aspects associated with the advanced practitioner radiographer role. The specialists visited various hospitals and a university to gain deeper insights. Following the visit, a survey was conducted among the Singaporean experts to gather comprehensive feedback regarding the visit. Findings: Active participation in the visit led to the researchers gaining a nuanced understanding of the UK's advanced practitioner radiographer role, and whether an equivalent advanced practice radiation therapist framework could be feasibly implemented in Singapore. The insights garnered will be instrumental for strategic planning, addressing service gaps and fostering advancements in Singapore's healthcare system. Conclusion: Adaptive governance of advanced practice is essential. Learning from the UK's intricate models can guide robust policy formulation and professional role development in Singapore. This can help to facilitate the national establishment of advanced practice radiation therapist roles, supported by suitable education and accreditation structures.

Improving acute stroke assessment in non-enhanced computed tomography: automated tool for early ischemic lesion volume detection.

ASPECTs is a widely used marker to identify early stroke signs on non-enhanced computed tomography (NECT), yet it presents interindividual variability and it may be hard to use for non-experts. We introduce an algorithm capable of automatically estimating the NECT volumetric extension of early acute ischemic changes in the 3D space. We compared the power of this marker with ASPECTs evaluated by experienced practitioner in predicting the clinical outcome. We analyzed and processed neuroimaging data of 153 patients admitted with acute ischemic stroke. All patients underwent a NECT at admission and on follow-up. The developed algorithm identifies the early ischemic hypodense region based on an automatic comparison of the gray level in the images of the two hemispheres, assumed to be an approximate mirror image of each other in healthy patients. In the two standard axial slices used to estimate the ASPECTs, the regions identified by the algorithm overlap significantly with those identified by experienced practitioners. However, in many patients, the regions identified automatically extend significantly to other slices. In these cases,the volume marker provides supplementary and independent information.Indeed,theclinical outcome of patients with volume marker = 0 can be distinguished with higher statistical confidence than the outcome of patients with ASPECTs = 10. The volumetric extension and the location of acute ischemic region in the 3D-space, automatically identified by our algorithm, provide data that are mostly in agreement with the ASPECTs value estimated by expert practitioners, and in some cases complementary and independent.

Artificial intelligence in cardiology: Present state and prospective directions

Artificial intelligence (AI) is a fast-growing technology that has great potential for advancements in cardiovascular medicine. Cardiovascular diseases (CVDs) are currently diagnosed through a comprehensive patient evaluation that includes a review of the patient's medical history, biomarker analysis, physical examinations, and specialized testing. The clinical expertise and experience of medical practitioners are required for the interpretation of test results, and the findings are used to devise treatment plans for patients. However, the efficacy of this strategy has been brought into question owing to variations in the way healthcare professionals perform the treatment and the likelihood of errors. By integrating AI into the healthcare domain, workflow efficiency, cost-effectiveness, and decision-making across various scientific disciplines, including medicine, can be significantly enhanced. Although the potential advantages of AI in cardiovascular care are substantial, it is essential to recognize and tackle the existing constraints. AI models necessitate access to superior and varied datasets, which might pose difficulties in acquisition due to data accessibility, privacy considerations, and the requirement for standardized data formats. Moreover, the comprehensibility of AI algorithms is crucial in order to establish confidence and promote cooperation between AI systems and healthcare practitioners. This article presents an overview of AI in the context of cardiovascular care, discussing its potential applications, current limitations, and future directions.

Designing an ESP Syllabus for International Relations: Insights from a Needs Analysis Study

The distinct research of ESP (English for Specific Purposes) for International Relations (IR) students is rarely explored despite the growing need of ESP for this particular group of students. These students must demonstrate proficiency in specific language competences for a variety of purposes, including arguing, negotiating, and participating in IR-related debates. Facilitating students' ownership of the necessary capabilities is critical to ensuring that they acquire them successfully.This study aims to depict the important use of needs analysis in syllabus making for EFIR (English for International Relations). A decent preparation of the syllabus contributes to the success of the ESP implementation. In this study, the researcher involved students and expert practitioners’ intuitions as the sources of the needs analysis. The participants of this research were 108 IR students and two expert practitioners. These students were asked to filled out a questionnaire while some more-detailed interviews were conducted by involving nine stand out students that represent high, middle and low-achiever students. In addition, the four expert practitioners that consist of two lecturers and two IR graduates were interviewed to enrich the needs analysis data. All of the data were analyzed using quantitative and qualitative analysis. The finding of this study is the syllabus that can be applied for universities that provide the same ESP program for its students. The syllabus that was constructed by considering the stakeholders' needs analysis hopefully could be a useful guidance for EFIR implementation.

Pengembangan PowerPoint Interaktif Berorientasi terhadap Pemahaman Konsep Dasar Persamaan Diferensial Parsial

The understanding of partial-differential equation basic concept is the basic knowledge needed to understand and determine general solutions on partial-differential equations. From the observation on the partial-differential equation class, there are still some students who are unable to understand the basic concept of partial-differential equation. This study aims to discover how the development of interactive PowerPoint learning media is oriented to the basic concept understanding of partial-differential equation. This study was an R&amp;D research using 4D model by Thiagarajan through some stages namely define, design, develop, and dissemination. The instruments used were media expert and material expert validation sheets, student and practitioner response questionnaires, and Quizizz-assisted tests. There were 14 slides on the results of interactive PowerPoint development which contained the title of materials delivered, the learning goals to be achieved, interactive activities, evaluation and references. The interactive PowerPoint learning media can be said to be valid by media expert judgments and material expert judgments, and is practical to use according to the results of student and practitioner response questionnaires. Interactive PowerPoint media is also effective in helping understand the basic concepts of PDP.

Chemo-Entrepreneurship (CEP) Essentials: Practical Videos on Functional Group Material via YouTube

Entrepreneurship is crucial for students to navigate intense competition in the globalized era. Chemo-entrepreneurship (CEP) integrates chemistry education with the production of marketable products, which can serve as practical videos to illustrate the application and relevance of functional group materials in daily life, making chemistry learning more impactful when applied practically. This research aims to develop YouTube content in the form of practical videos on functional group material containing chemo-entrepreneurship. The method used in this research is research and development (R&amp;D) with a define, design, develop, and disseminate (4-D) model. The products developed are assessed by material, media, and educational practitioner experts using product quality assessment sheets and student responses. The percentage of assessments from material, media experts, and reviewers are 87, 96, and 91%, respectively. Students responded positively to the practical video that was developed and obtained a percentage of 97%. Assessments from experts, reviewers, and students are in the very good category. Based on the data obtained, the practical video developed is suitable for use as an alternative media in practical learning of functional group material to improve students' entrepreneurial spirit.

Geomechanical Analysis of the Main Roof Deformation in Room-and-Pillar Ore Mining Systems in Relation to Real Induced Seismicity

Rockbursts represent one of the most serious and severe natural hazards emerging in underground copper mines within the Legnica–Glogow Copper District (LGCD) in Poland. The contributing factor determining the scale of this event is mining-induced seismicity of the rock strata. Extensive expertise of the copper mining practitioners clearly indicates that high-energy tremors are the consequence of tectonic disturbances or can be attributed to stress/strain behaviour within the burst-prone roof strata. Apparently, seismic activity is a triggering factor; hence, attempts are made by mine operators to mitigate and control that risk. Underlying the effective rockburst control strategy is a reliable seismicity forecast, taking into account the causes of the registered phenomena. The paper summarises the geomechanics analyses aimed to verify the actual seismic and rockburst hazard levels in one of the panels within the copper mine Rudna (LGCD). Two traverses were designated at the face range and comparative analyses were conducted to establish correlations between the locations of epicentres of registered tremors and anomaly zones obtained via analytical modelling of changes in stress/strain behaviours within the rock strata. The main objective of this study was to evaluate the likelihood of activating carbonate/anhydrite layers within the main roof over the excavation being mined, with an aim to verify the potential causes and conditions which might have triggered the registered high-energy events. Special attention is given to two seismic events giving rise to rockbursts in mine workings. Results seem to confirm the adequacy and effectiveness of solutions provided by mechanics of deformable bodies in the context of forecasting the scale and risk of dynamic phenomena and selecting the appropriate mitigation and control measures in copper mines employing the room-and-pillar mining system.

The THE DEVELOPMENT OF FIELD TEACHING PRACTICE-1 JOBSHEET FOR ISLAMIC EDUCATION GUIDANCE AND COUNSELING PROGRAM STUDENTS UIN SU MEDAN

The aim of this research is to develop a jobsheet of Field Teaching Practice – 1 (FTP-1) for students of BKPI FITK UIN SU Medan and to describe the usefull aspects of the jobsheet. This research used development design research with 4 Development Steps (Four D) namely define, design, develop, and disseminate. The data collection tools used in this research are assessment scales, inventories, interviews, documentation studies, and also focus group discussions. The research was conducted at BKPI FITK UIN SU Medan by involving 47 students in jobsheet trial activities based on random sampling. Data were analyzed using quantitative descriptive and qualitative descriptive. Quantitative descriptives are used to analyze survey data and jobsheet assessment results from expert validators and practitioners. Meanwhile, qualitative descriptive is used to analyze data obtained based on interviews, documentation studies, and focus group discussions. The results of this research indicate that the FTP-1 jobsheet developed is suitable for use based on the results of Aiken's V &gt; 0.63 in the five FTP-1 program activities contained in the jobsheet. Then this jobsheet was also proven to provide benefits to students of the BKPI FITK UIN SU Medan study program, such as the implementation of FTP-1 became easy, the FTP-1 procedures became clear, the implementation of FTP-1 became practical, the results of implementing FTP-1 were satisfactory, performance during FTP-1 increased , readiness to undergo FTP-1 is helped, completion of FTP-1 tasks (reports) becomes effective and efficient. This FTP-1 job sheet should be used by the BKPI FITK UIN SU Medan study program in particular and the BK study program in general.

International Consensus Statements on Intraoperative Testing for Cochlear Implantation Surgery.

A wide variety of intraoperative tests are available in cochlear implantation. However, no consensus exists on which tests constitute the minimum necessary battery. We assembled an international panel of clinical experts to develop, refine, and vote upon a set of core consensus statements. A literature review was used to identify intraoperative tests currently used in the field and draft a set of provisional statements. For statement evaluation and refinement, we used a modified Delphi consensus panel structure. Multiple interactive rounds of voting, evaluation, and feedback were conducted to achieve convergence. Twenty-nine provisional statements were included in the original draft. In the first voting round, consensus was reached on 15 statements. Of the 14 statements that did not reach consensus, 12 were revised based on feedback provided by the expert practitioners, and 2 were eliminated. In the second voting round, 10 of the 12 revised statements reached a consensus. The two statements which did not achieve consensus were further revised and subjected to a third voting round. However, both statements failed to achieve consensus in the third round. In addition, during the final revision, one more statement was decided to be deleted due to overlap with another modified statement. A final core set of 24 consensus statements was generated, covering wide areas of intraoperative testing during CI surgery. These statements may provide utility as evidence-based guidelines to improve quality and achieve uniformity of surgical practice.

In experts’ words: Translating theory to practice for teaching self-regulated learning

Introduction Health professions education (HPE) should help students to competently self-regulate their learning, preparing them for future challenges. This study explored the perspectives of expert self-regulated learning (SRL) researchers and practitioners on the practical integration of SRL theories into teaching. Methods An exploratory qualitative research study was conducted involving semi-structured interviews with acknowledged research leaders in the field of SRL and/or experienced professionals dedicated to teaching SRL strategies for complex skills in different disciplines. The data were analyzed using an iterative thematic approach guided by a six-step framework. Results Fifteen interviews were conducted with experts from six countries representing diverse contexts, cultures, and disciplines. We identified five themes related to translating theory to practice for teaching SRL in HPE: theoretical issues, cultural aspects, stakeholders’ participation, teaching complexity, assessment, and feedback. Conclusions This study presents a useful starting point for teaching SRL. The experts suggest a supportive learning environment with the guidance of competent teachers by using general and task-specific teaching and learning strategies, as well as sufficient sources and cycles of feedback, all tailored to the culture and context. These findings call for a shift in faculty development programs to foster teachers to support second-order scaffolding in HPE.

Identifying low-dimensional trajectories of mechanically-ventilated patient systems: Empirical phenotypes of joint patient+care processes to enhance temporal analysis in ARDS research.

Refined management of mechanically ventilation is an obvious target for improving patient outcomes, but is impeded by the nature of data for study and hypothesis generation. The connections between clinical outcomes and temporal development of iatrogenic injuries current lung-protective ventilator settings remain poorly understood. Analysis of lung-ventilator system (LVS) evolution at relevant timescales is frustrated by data volume and multiple sources of heterogeneity. This work motivates, presents, and validates a computational pipeline for resolving LVS systems into the joint evolution of data-conditioned model parameters and ventilator information. Applied to individuals, the workflow yields a concise low-dimensional representation of LVS behavior expressed in phenotypic breath waveforms suitable for analysis. The effectiveness of this approach is demonstrated through application to multi-day observational series of 35 patients. Individual patient analyses reveal multiple types of patient-oriented dynamics and breath behavior to expose the complexity of LVS evolution; less than 10% of phenotype changes related to ventilator settings changes. Dynamics are shown to including both stable and unstable phenotype transitions as well as both discrete and continuous changes unrelated to ventilator settings. At a cohort scale, 721 phenotypes constructed from individual data are condensed into a set of 16 groups that empirically organize around certain settings (positive end-expository pressure and ventilator mode) and structurally similar pressure-volume loop characterizations. Individual and cohort scale phenotypes, which may be refined by hypothesis-specific constructions, provide a common framework for ongoing temporal analysis and investigation of LVS dynamics.

Retrospective evaluation of the Complementary Health and Wellbeing (CHW) service delivered at the Christie NHS trust UK.

IntroductionThe Complementary Health and Wellbeing service has been offering integrative therapies to cancer patients at The Christie Hospital NHS Trust since 1997 and has not undergone an external service evaluation in that time. It is considered a pioneering service. MethodAn external academic was invited to undertake a service evaluation based on information and experiences since the implementation of services changes as the result of the COVID 19 pandemic. Service users and therapists were interviewed along with review of quality control data and documentation. ResultsEighteen staff and eight patients were interviewed showing a high functioning and valuable service, offering a range of services to meet the needs of both inoutpatient and outpatient services. All staff are qualified and passionate, with a significant number of research outputs. However, the service is at capacity, and must rethink some delivery to ensure long term sustainability. Services offered include acupuncture, aromatherapy, massage, talking therapies and motivational behavioural changes. There is a high degree of patient satisfaction as the therapies help them manage their life affecting side effects, however accessing or being aware of the service before treatment commenced was a concern for patients. DiscussionThe Complementary Health and Wellbeing Service is well resourced, with all staff paid employees of the NHS trust funded via a charitable part of the trust. There is a self-funding education unit to provide staff training with participants coming from around the world. The therapists are expert practitioners who have undergone specialist training to work in this unique environment, however capacity to meet the needs of the service is limited, and there are gaps in the way patient evaluations are collected, which needs to be addressed for long term viability and future benchmarking. The changes to service to adapt to COVID-19 have become embedded within the service.

Mind the gap: Facilitating early design stage building life cycle assessment through a co-production approach

Despite the transition towards a circular economy (CE) being a significant element in achieving the decarbonisation of the built environment, a clear and common pathway to applying CE principles to building design is still lacking in both industry practice and academia. The integration of Building Information Modelling (BIM) and Life Cycle Assessment (LCA) has the potential to enable the identification of feasible pathways to increase circularity. This study aims to investigate its practical use to facilitate the application of circular economy principles at the early stage of building design via using LCA-based BIM plugins. Within this aim, the paper centres on a co-production approach and presents a gap analysis by identifying gaps in knowledge and implementation as well as addressing the pressing needs of the current practice in the UK. A series of semi-structured interviews with expert practitioners in the field were conducted for data collection, contributing to the following phases of the co-production by allowing for an in-depth investigation and reflection of the practice. The findings have revealed that: (a) there is still an insufficient level of contextual awareness and readiness in the implementation of CE principles in the built environment and LCA understanding and (b) the adoption of BIM at the early stages of building design is still limited in the current practice; BIM models with sufficient level of data details and quality to enable circularity assessment are rarely produced. Thus, the paper highlights the need for enabling mechanisms, including the introduction of legislative instruments, the involvement and commitment of the industry and key stakeholders, the support for training and skills improvement, and the establishment of effective communication and implementation process management frameworks. Future research agenda points to the need of formulation of a BIM protocol to enable integration of BIM and LCA to promote CE principles in the building design process.