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An issue that has received limited attention is how teachers make informed decisions when designing learning activities, which makes effective use of resources and technologies. The aim of this paper is to explore how teachers suggest informing their designs for learning.

The study is based on documentation from workshops where adult education teachers were encouraged to suggest how a design for learning can draw on what is known, how the design can be evaluated and how the design and lessons learned can be shared. The data was analyzed using thematic analysis.

Most teachers did not explicitly suggest how to inform their designs for learning, although some suggested to draw on learning theories. The teachers were able to provide many examples of how their designs for learning could be evaluated based on student perceptions and assessment. They primarily suggested to discuss and share their designs and lessons learned at the school.

The workshop format could be adapted and used in practice.

Relatively little attention has been paid to how teachers inform their designs for learning. A key challenge for teachers is to understand design for learning as an informed practice, which could be integrated as part of their daily work.

This article explores the value of engaging a hybrid learning strategy in a micro-enterprise setting when responding to a global pandemic. The research question asks: “Does a hybrid learning strategy enhance a micro-enterprise's response to extreme events?”.

A micro-enterprise owner–manager (OM) reflects on their experience running a business during the coronavirus disease 2019 (COVID-19) pandemic, which resulted in the complete decimation of the organization’s revenue stream in early 2020. Captured in conversation with an academic peer, these practitioner insights provide valuable case evidence relating to micro-enterprise response to extreme commercial events, such as a global pandemic.

The journey from initial survival-mode to emergent market opportunity recognition and subsequent growth is recorded. The paper contributes to the limited research on the impact of learning strategy plans on micro-enterprise crisis response strategies and provides insights into the value of engaging a hybrid learning strategy when responding to a significant external business shock.

Drawing from these insights, the authors offer a literature-informed framework from which to consider the dynamics of an adaptive strategic response in a micro-enterprise setting, offering a means through which micro-enterprises can plan for and respond to extreme events in the future.

Educational policy instruments such as apprenticeship levy and forthcoming lifetime skills guarantee are creating unprecedented opportunities for rapid growth in a range of work-based learning (WBL) programmes, requiring increasingly complex levels of collaboration between providers and employers. Apprenticeships require providers to assume responsibility in ensuring apprentices’ work-based managers and mentors (WBMMs) are equipped to provide effective support to individuals as they learn ‘on the job’. After six years of higher education institution (HEI) apprenticeship curriculum delivery, there is opportunity to examine existing WBMM practice to inform the design, content and delivery of a shared knowledge base via a practical interactive toolkit. By developing clearer understanding of WBMMs’ experiences, expectations and challenges, the study aims to reduce potential gaps in knowledge and skills and encourage more effective collaboration between employers and providers to better support apprentices as they progress through WBL programmes.

This paper discusses evolution of higher level and degree apprenticeships, explores guidance for WBMMs and investigates the influence of expectations and motivations of WBMMS. Theoretical and conceptual foundations relating to WBL programme delivery and WBMM role are analysed and discussed. Qualitative data drawn from semi-structured surveys are analysed thematically to investigate common patterns, clarify understanding and identify development areas to inform future university provider and employer practice.

The findings suggest a number of themes to improve apprentice management; further clarity of WBMMs role, greater involvement of WBMM’s for negotiated learning, unplanned experiences do add value and scope for richer mentoring dialogues. WBL value for WBMMs is broader than expected, incorporating apprentice performance and output improvements, and solving complex problems.

The research is drawn from an established university with five years of experience. However, the context in which programmes are delivered significantly varies according to providers and employers. This means factors other than those highlighted in this paper may continue to emerge as the research in this field develops.

The practical implications from findings can be used to cultivate stronger collaboration, providing a foundation of knowledge intended to provoke further dialogue regarding content for an interactive toolkit. The findings signal the need for further resources, a review of the restrictions associated with levy funding for co-creation of a more effective national apprenticeship framework.

This paper builds on a limited body of research examining employers’ perspectives of apprenticeship management. Degree apprenticeships have attracted limited scholarly attention over six years since their inception (Bowman, 2022) resulting in a significant paucity of research that focuses upon employer role. This study addresses this void by exploring WBMMs experiences, requirements and expectations, revealing new insights for providers of WBL, employers and individuals employed as WBMMs.

Current methods for flow field reconstruction mainly rely on data-driven algorithms which require an immense amount of experimental or field-measured data. Physics-informed neural network (PINN), which was proposed to encode physical laws into neural networks, is a less data-demanding approach for flow field reconstruction. However, when the fluid physics is complex, it is tricky to obtain accurate solutions under the PINN framework. This study aims to propose a physics-based data-driven approach for time-averaged flow field reconstruction which can overcome the hurdles of the above methods.

A multifidelity strategy leveraging PINN and a nonlinear information fusion (NIF) algorithm is proposed. Plentiful low-fidelity data are generated from the predictions of a PINN which is constructed purely using Reynold-averaged Navier–Stokes equations, while sparse high-fidelity data are obtained by field or experimental measurements. The NIF algorithm is performed to elicit a multifidelity model, which blends the nonlinear cross-correlation information between low- and high-fidelity data.

Two experimental cases are used to verify the capability and efficacy of the proposed strategy through comparison with other widely used strategies. It is revealed that the missing flow information within the whole computational domain can be favorably recovered by the proposed multifidelity strategy with use of sparse measurement/experimental data. The elicited multifidelity model inherits the underlying physics inherent in low-fidelity PINN predictions and rectifies the low-fidelity predictions over the whole computational domain. The proposed strategy is much superior to other contrastive strategies in terms of the accuracy of reconstruction.

In this study, a physics-informed data-driven strategy for time-averaged flow field reconstruction is proposed which extends the applicability of the PINN framework. In addition, embedding physical laws when training the multifidelity model leads to less data demand for model development compared to purely data-driven methods for flow field reconstruction.

The purpose of this qualitative study is to conduct an exploratory investigation of the impact and sustainability of coaching on career and leadership development of students and later, alumni, in an Executive Master of Business Administration (EMBA) program.

The sample for this qualitative study consisted of 14 alumni of an EMBA program at a private university in the Southwestern US who graduated between January 2012 and May 2019. Eleven alumni participated in the focus groups, and three alumni participated in personal interviews.

The open coding of the data resulted in three emergent themes (personal development by overcoming personal deficiencies, coaching translates to learning about leadership and coaching motivates sustained change) that confirmed the positive long-term effect of coaching as part of an EMBA program.

By participating in an executive coaching engagement, the EMBA students learned a development process that they could repeat for themselves after graduation and transfer to others. In addition, the EMBA students were able to leverage knowledge gained from the coaching experience for the development of others.

While the positive impacts of coaching are well-documented, its long-term impact on EMBA students/alumni has not yet been studied. This study builds on other evaluative studies to identify the benefits of executive coaching.