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The need to enhance student support is evident in higher education (HE) curricula. In addition to the complications created by the COVID-19 pandemic, the current strategies used in academia are criticised for their lack of appropriate student support in HE. The study focused on the themes under Section 4 of the National Student Survey (NSS): availability to contact tutors, receiving good advice and guidance and availability of good advice. The study aimed to provide recommendations for enhancing academic support by developing drivers that need implementation during course delivery.

A documental analysis and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews (MMRs) from levels three to six students in the built environment (BE) discipline. Critical themes identified from the MMRs were fed forward in developing a questionnaire for academics. A sample of 23 academics, including a Head of school, a Principal lecturer, Subject leads and Lecturers, participated in the questionnaire survey. Content analysis is adopted through questionnaire data to develop drivers to enhance academic support in BE. These drivers are then modelled by interpretive structural modelling (ISM) to identify their correlation to NSS Section 4 themes. A level partition analysis establishes how influential they are in enhancing academic support.

The study identified nine drivers, where two drivers were categorised as fundamental, two as significant, four as important, and one insignificant in enhancing academic support in HE. Module leaders’/tutors’ improving awareness and detailing how academic support is provided were identified as fundamental. Differentiating roles in giving advice and the importance of one-to-one meetings were identified as significant. A level partitioning diagram was developed from the nine drivers to illustrate how these drivers need to be implemented to promote the best practices in academic support in HE.

The identified drivers and their categories can be used to set prioritised guidelines for academics and other educational institutions to improve students’ overall satisfaction.

Novelty from the study will be the developed drivers and the level partitioning diagram to assist academics and academic institutions in successfully integrating academic support into HE curricula.

Lack of appropriate student support and drawbacks in academic progression signify the importance of enhancing assessment and feedback in higher education (HE). Although assessment and feedback are significant in HE, minimal empirical research holistically explores the best practices. This study aims to address the niche and develop a decisive guideline for enhancing assessment setting and feedback provision within HE curricula.

A systematic approach was taken to obtain data for the study: a literature review underpinning the thematic content analysis of study documents, followed by semi-structured interviews. Document analysis contained mid-module reviews/student feedback; rubrics used in assessment; and formative/summative feedback provided for the graded work. Documental analysis informed the key attributes of the semi-structured interview. Interpretive structural modelling (ISM) analysis identified the influence and reliance of each driver.

This study revealed 15 drivers – 4 fundamental, 6 significant and 5 important – for enhancing assessment and feedback. The level partitioning from the ISM analysis established that all assessment and feedback needs to be underpinned by the university policy and fed into the assessment regime and marking scheme. This study identified that National Student Survey results were significantly improved due to implementing said drivers compared with the national and sector benchmarks.

The developed drivers enable the best practices in assessment setting and feedback provision. The level partition diagram can be used as a decisive guideline or a provisional framework in assessment and feedback provision for quality assurance in HE.

This study is one of, if not the only, to develop a guideline for signposting drivers and their influence and reliance to enhance assessment and feedback in a holistic HE setting. The developed drivers and the level partition diagram bring novelty and add to the current body of knowledge.

Persistent critical issues in built environment higher education (BEHE) curricula may need to be addressed by improving course organisation and management. In addition to the implications of the COVID pandemic, issues such as inadequate communication and lack of contemporary and innovative practices integrated with course delivery have resulted in a gap for Course organisation and management. The purpose of this study is to recommend a set of drivers that can assist academics and academic institutions in improving course development, organisation and management in the BEHE context. Thus, the study focused on three themes: course organisation and administration, timetabling and course communication.

A systematic approach was taken to obtain data, where a documental analysis and a close-ended questionnaire were adopted as data collection instruments. The documental analysis considered 334 mid module reviews (MMRs) generating data from architecture, construction management, civil engineering, surveying and real estate students. Content analysis was used to identify critical themes within the MMRs and develop a closed-ended questionnaire. Twenty academics from each discipline completed the questionnaire. Eight drivers were developed from the data obtained from both MMRs and questionnaires. Content analysis and interpretive structural modelling were applied to identify the relationship between the drivers. Finally, these drivers were categorised by their level of influence and reliance to highlight how they contributed to improving course organisation and management.

The study revealed eight drivers that can improve course organisation and management in the BEHE context. The study found that using virtual learning environments and communication are fundamental in course organisation and management.

This research paper suggests drivers to improve how academics and academic institutions organise and manage courses. The study recommends eight drivers that could be used as a guideline and a best practice as per the level partitioning diagram developed to enhance the course organisation and management in BEHE.

The study proposes a set of drivers to improve course organisation and management in BEHE curricula. Furthermore, insight into how these drivers influence and rely on each driver and their relation with the national student survey theme are novel contributions to the current body of knowledge. The paper further clarifies how they should be implemented for successful course organisation and management, thus, improving the quality of courses in higher education curricula.

The issues in the current Built Environment Higher Education (BEHE) curricula recognise a critical need for enhancing the quality of teaching. This paper aims to identify the need for a best practice in teaching within BEHE curricula and recommend a set of drivers to enhance the current teaching practices in the Built Environment (BE) education. The study focused on Section 1 of the National Student Survey (NSS) – Teaching on my course, with a core focus on improving student satisfaction, making the subject interesting, creating an intellectually stimulating environment and challenging learners.

The research method used in this study is the mixed method, a document analysis consisting of feedback from undergraduate students and a closed-ended questionnaire to the academics in the BEHE context. More than 375 student feedback were analysed to understand the teaching practices in BE and fed forward to developing the closed-ended questionnaire for 23 academics, including a Head of School, a Principal Lecturer, Subject Leads and Lecturers. The data was collected from Architecture, Construction Management, Civil Engineering, Quantity Surveying and Building surveying disciplines representing BE context. The data obtained from both instruments were analysed with content analysis to develop 24 drivers to enhance the quality of teaching. These drivers were then modelled using the interpretive structural modelling (ISM) method to identify their correlation and criticality to NSS Section 1 themes.

The study revealed 10 independent, 11 dependent and three autonomous drivers, facilitating the best teaching practices in BEHE. The study further recommends that the drivers be implemented as illustrated in the level partitioning diagrams under each NSS Section 1 to enhance the quality of teaching in BEHE.

The recommended set of drivers and the level partitioning can be set as a guideline for academics and other academic institutions to enhance the quality of teaching. This could be further used to improve student satisfaction and overall NSS results to increase the rankings of academic institutions.

New knowledge can be recognised with the ISM analysis and level partitioning diagrams of the recommended drivers to assist academics and academic institutions in developing the quality of teaching.

This study aims to assess “learning opportunities” provided to undergraduate students, from level three to six, in higher education (HE). A knowledge gap was identified within the current practice relating to learning opportunities for built environment (BE) students in HE. The study focussed on the themes under section two of the national student survey (NSS): how students explore ideas or concepts in-depth, bring information and ideas together from different topics and apply the learned content in a real-life context. The study aimed to provide recommendations for enhancing “learning opportunities” to the BE students within HE.

Data collection focussed on section two of NSS “learning opportunities” and documentary analysis, and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews was carried out. The qualitative data was collected from level three to level six students and academics from architecture, construction management, civil engineering and quantity surveying disciplines representing BE context. A sample of 40 students and 15 academics, including a Head of school, a Principal lecturer, Subject leads and lecturers, participated in interviews as part of a qualitative survey. In total, 12 drivers were developed using the data obtained through literature, documental analysis and interviews. These drivers were analysed using manual content analysis to identify their influence on the specified themes under NSS section two and circulated amongst academics to be ranked by identifying its influence to promote learning opportunities to BE students in HE.

This study highlighted 12 drivers which promote learning opportunities in HE within BE curriculum. Findings established that topics should be explained with more real-life or industry-orientated concepts such as simplification integrated into module delivery. Contrary to the literature, the use of physical materials (i.e. handouts and whiteboard) in addition to a virtual learning environment for detailed explanations were considered effective in exploring concepts. During the current COVID-19 pandemic, context-based learning needs to be promoted by integrating videos of practical implementation for better understanding. The study recognised that lab, fieldwork and tutorials were essential to apply what students have learned in BE curricula to a real-life context.

This study identified current learning approaches and provided recommendations to improve the BE students learning experience in HE. They identified 12 drivers that would significantly help academics and academic institutions to understand how learning opportunities should be facilitated in the BE curriculum to enhance student performances in HE.