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In the COVID-19 era, where blended learning is gaining popularity, research-informed teaching could be one of the alternatives or options to assess students' progress in Higher Education institutions. In the past, educators have assessed students' research skills gained from research-informed teaching through coursework components or assignments. However, whether the assignments can be converted into peer-reviewed output acceptable in a reputable journal or conference has hardly been investigated. This study explores how research-informed teaching has been rolled out in undergraduate/postgraduate BIM related modules/programmes in the School of the Built Environment, Oxford Brookes University and which has culminated in high quality published outputs.

The method used is purely qualitative in-depth interviews, where students who have published were tracked and invited to share their experiences. In total, nine former students of the 12 invited, participated in the interviews. Inductive content analysis, a suitable qualitative data analysis technique was used in analysing the feedback from the interviews.

The main finding is that research-informed teaching can be done in a technical and complex BIM discipline and students' coursework components or assignments can further be converted into published outputs.

The main limitation of this study was that the sample was small. That notwithstanding, it has provided valuable insights into the understanding of student's ability to undertake research while studying and experiences of how educators can deliver research-informed teaching to students in Higher Education institutions.

The study adds to the existing body of literature about undergraduate and postgraduate research-informed teaching and goes further to provide strong evidence through published outputs thereby confirming that students at both levels can indeed conduct and publish peer-reviewed research articles while undertaking their studies.

To reach its full potential, Building Information Modelling (BIM) should be implemented throughout the supply chain. The purpose of this study is to explore BIM implementation and adoption among Small and Medium Enterprises (SMEs) in the UK Architecture, Engineering and Construction (AEC) sector. The paper addresses two key issues: the slow rate and lack of homogeneity of BIM adoption in the SME sector.

The study uses qualitative and quantitative methods to investigate BIM uptake and test for correlations between organisational features and BIM aspects. The sample includes data from SMEs based in the South East of England, which are then analysed using descriptive and inferential statistics.

The results show that, although SMEs have some understanding of BIM-related concepts, their familiarity with existing BIM software support systems is particularly low. Limited financial capacity is identified as the primary barrier to BIM adoption while knowledge exchange initiatives are the most useful measure in facilitating further implementation. The variations of SMEs in the adoption and implementation of BIM are mostly affected by company size, professional discipline and offered services. The paper also demonstrates that a one-size-fits-all approach to BIM implementation in the AEC sector has limited potential.

The heterogeneity of SMEs in the AEC sector has been considered to a very limited extent. This paper considers the nature, characteristics and core business areas of SMEs as factors affecting BIM adoption and implementation.

The relatively low capital cost and contributions to mitigating global warming have favoured the continuous construction and operation of nuclear power plants (NPPs) across the world. One critical phase in the operation of nuclear plants for ensuring the safety and security of radioactive products and by-products is decommissioning. With the advent of digital twinning in the building information modelling (BIM) methodology, efficiency and safety can be improved from context-focus access to regulations pertaining to demolition of structures and the cleaning-up of radioactivity inherent in nuclear stations. The purpose of this study, therefore, is to propose a BIM-driven framework to achieve a more regulation-aware and safer decommissioning of nuclear power plants.

The framework considers task requirements, and landscape and environmental factors in modelling demolition scenarios that characterise decommissioning processes. The framework integrates decommissioning rules/regulations in a BIM linked non-structured query system to model items and decommissioning tasks, which are implemented based on context-focussed retrieval of decommissioning rules and regulations. The concept’s efficacy is demonstrated using example cases of digitalised NPPs.

This approach contributes to enhancing improvements in nuclear plant decommissioning with potential for appropriate activity sequencing, risk reduction and ensuring safety.

A BIM-driven framework hinged on querying non-structured databases to provide context-focussed access to nuclear rules and regulations and to aiding decommissioning is new.