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The use of “homework”, activities outside of the classroom or session, is widely applied in a range of disciplines including teaching, therapy and training. The argument advanced by advocates is that it provides an opportunity to consolidate knowledge learnt in the classroom and develop mastery in an applied environment. However, the use of homework has not been widely discussed or researched within business coaching, which is a form of personal development. This exploratory study aims to examine whether homework, as a coaching intervention, may enhance the clients' learning experience.

Data were collected from eight early career coaches and eight coaching clients. Not all clients were related to the coaches. Each client had experienced a minimum of three coaching sessions. Interviews were recorded and analysed using thematic analysis. The study explored the use of (1) client-led, (2) coach-led and (3) collaboratively developed homework during the engagements.

The findings indicated that homework is widely used and was perceived to have mixed effects. The positioning of the homework by the coach, including the terminology used to describe the activity, and the type of work can affect the level of engagement and thus the perceived value generated.

This is the first study to explore the nature of “homework” in coaching. More work is needed to better inform the use of “homework” in coaching practice, including the type of work and how this is agreed with different types of clients, for example, should homework be coach, collaborative or client led?

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

The purpose of this paper is to review cases of artificial reefs built through additive manufacturing (AM) technologies and analyse their ecological goals, fabrication process, materials, structural design features and implementation location to determine predominant parameters, environmental impacts, advantages, and limitations.

The review analysed 16 cases of artificial reefs from both temperate and tropical regions. These were categorised based on the AM process used, the mortar material used (crucial for biological applications), the structural design features and the location of implementation. These parameters are assessed to determine how effectively the designs meet the stipulated ecological goals, how AM technologies demonstrate their potential in comparison to conventional methods and the preference locations of these implementations.

The overview revealed that the dominant artificial reef implementation occurs in the Mediterranean and Atlantic Seas, both accounting for 24%. The remaining cases were in the Australian Sea (20%), the South Asia Sea (12%), the Persian Gulf and the Pacific Ocean, both with 8%, and the Indian Sea with 4% of all the cases studied. It was concluded that fused filament fabrication, binder jetting and material extrusion represent the main AM processes used to build artificial reefs. Cementitious materials, ceramics, polymers and geopolymer formulations were used, incorporating aggregates from mineral residues, biological wastes and pozzolan materials, to reduce environmental impacts, promote the circular economy and be more beneficial for marine ecosystems. The evaluation ranking assessed how well their design and materials align with their ecological goals, demonstrating that five cases were ranked with high effectiveness, ten projects with moderate effectiveness and one case with low effectiveness.

AM represents an innovative method for marine restoration and management. It offers a rapid prototyping technique for design validation and enables the creation of highly complex shapes for habitat diversification while incorporating a diverse range of materials to benefit environmental and marine species’ habitats.