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This chapter reflectively explores the idea of doing art-based research (ABR) through poetic methods for studying the experience of learning in higher education. Taking some literature on faculty development to exemplify different ways of experiencing learning, this chapter serves as a counterpoint to researching experiences of learning from a phenomenological approach. The fundamental reasoning for this is that the basic epistemological assumptions in phenomenology would limit our understanding of experiences of learning and thus, other methodological options would be worth exploring. To that end, this chapter elaborates on the relationship between knowledge production, speech and experience, all circling around the notions of research method and construction. Here, the aim is to reflect upon an understanding of research that is aligned with a dialogical and relational conceptualization of the experience of learning. Finally, an argument will be outlined that suggests conducting research as an experience. Taking from Dewey, Kvale, Law, Scheurich, Talmy and others, this exploration will present the idea of studying the experiences of learning by way of producing/devising experiences through arts. With the notion of art as experience from Dewey, the argument goes to ABR in a general sense, and poetry in particular, as a sound and coherent alternative way of researching learning as an experience. Thus, this chapter explores the possible theoretical-methodological contributions of thinking about and doing research understood as an experience through art.

This chapter explores creative drawing mediums in research practice and education, through speculative drawing methods, and the use of temporal mediums such as film, animation, and augmented reality [AR] to move outside entrenched perspectives of communicating towards more inclusive storytelling narratives. Architectural representation mediums provide means of conveying rich layers of information, having evolved through cultural influences and technologies with their origins in Western world views. However, these methods of drawing are limited in how they convey multiple and diverse views or social understandings, ultimately delivering static representations. The student and staff approaches discussed in this chapter demonstrate approaches that recalibrate from a singular, designer-led perspective to one that is multivalent, considering and engaging other stakeholders in the negotiations and conversations of the spaces in our built environments. Through making architectural communication more accessible and inclusive of diverse audiences and voices, alternative world views can be both enabled and facilitated.

Precise and accurate observation, what we see, and the perception of emotion, what we sense and feel, lead to a more reliable evaluation and thus to better management of complex situations. Therefore, perception, observation and judgement are critical success factors in fostering innovation leadership at individual and team levels. This chapter outlines how these aspects need to be considered to facilitate the discovery, reflection and implementation of new ideas and solutions. We look at scientific areas such as neuroscience and positive psychology and apply the research to different professional areas. Based on this, we introduce ‘Coaching with Art’ as a method to train perceptiveness as a quality for self and team leadership to better cope with the challenges and opportunities of innovation processes.

This viewpoint article explores the transformative capabilities of large language models (LLMs) like the Chat Generative Pre-training Transformer (ChatGPT) within the property valuation industry. It particularly accentuates the pivotal role of prompt engineering in facilitating valuation reporting and advocates for adopting the “Red Book” compliance Chain-of-thought (COT) prompt engineering as a gold standard for generating AI-facilitated valuation reports.

The article offers a high-level examination of the application of LLMs in real estate research, highlighting the essential role of prompt engineering for future advancements in generative AI. It explores the collaborative dynamic between valuers and AI advancements, emphasising the importance of precise instructions and contextual cues in directing LLMs to generate accurate and reproducible valuation outcomes.

Integrating LLMs into property valuation processes paves the way for efficiency improvements and task automation, such as generating reports and drafting contracts. AI-facilitated reports offer unprecedented transparency and elevate client experiences. The fusion of valuer expertise with prompt engineering ensures the reliability and interpretability of valuation reports.

Delineating the types and versions of LLMs used in AI-generated valuation reports encourage the adoption of transparency best practices within the industry. Valuers, as expert prompt engineers, can harness the potential of AI to enhance efficiency, accuracy and transparency in the valuation process, delivering significant benefits to a broad array of stakeholders.

The article elucidates the substantial impact of prompt engineering in leveraging LLMs within the property industry. It underscores the importance of valuers training their unique GPT models, enabling customisation and reproducibility of valuation outputs. The symbiotic relationship between valuers and LLMs is identified as a key driver shaping the future of property valuations.

The hospitality industry is on the cusp of a culinary revolution, propelled by the integration of smart cooking technologies and artificial intelligence (AI). This article delves into how these innovations are transforming hotel and restaurant kitchens, emphasizing food quality, operational efficiency and sustainability. Through AI, the culinary domain promises not just refined dining experiences but also a fundamental reshaping of kitchen operations.

The study includes a document review prepared by examining the academic literature regarding the chosen concepts in a wide range of contexts.

Smart cooking provides much convenience in working life with the help of technology, and this technology will be given more space in the future.

This article presents a review of the relevant literature on smart cooking systems, one of the developing digital gastronomy tools.

Wisdom is a very difficult construct to work with in research and practice. One reason for this is that wise people can deal with metaphysical questions and experience spiritual phenomena, both of which are hard to measure meaningfully. Although metaphysical and spiritual matters are not imponderable, they have significant measurement problems that are also part of the shortcomings of standard social science statistical frameworks. A second reason is that for many wisdom theorists, wisdom is context-dependent because wisdom is defined by and responds to what its context presents to it. We can therefore argue that wisdom is essentially context, which in quantum physics is theorised as a superposition of random variables that interact. This chapter, therefore, ponders the ‘immeasurable’ from the perspective of quantum-like social science and quantum theory to render wisdom, including its spirituality component, in formal mathematical models. The mathematical formalism of quantum physics allows for the presence of metaphysical phenomena in its ontological foundations and its mathematical models. This chapter, therefore, also presents an argument for understanding wisdom from the superposition perspective and, in particular, the internal interactions between random variables contained within it. If the challenge of measuring wisdom as a nondeterministic system is met, we may finally have an opportunity to measure wisdom in ways that embrace wisdom's complex ontology. A third reason is that wisdom depends on people making first-person subjective judgements. Subjectivity is central to many interpretations of quantum theory, and we can borrow the analytical formalism used in quantum physics for wisdom research. Finally, the chapter discusses future approaches to empirical wisdom research that adopt quantum-like social science methods.

This chapter discusses the impacts of David Maines's scholarship in communication research. The utilities of Maines's scholarship in communication research were first identified in a 1997 session in the annual convention of National Communication Association (NCA) by many leading scholars. This chapter documents the applications of Maines's scholarship in communication research in recent years when communication researchers utilized concepts and arguments constructed by Maines to investigate narratives in relations to Donald Trump's presidential election as well as the COVID-19 pendemic.

This chapter features our innovative endeavors to inquire into an African-American student's potentially sensitive stories in a methodologically fluid and ethically delicate manner through two generative methods: digital narrative inquiry and musical narrative inquiry. Through a meta-level “inquiry into inquiry” approach, this work explores how we engaged in the digital and musical restorying of the participant's “Wounded Healer” narrative and uncovered its dynamism, cultural richness, and nuances. We subsequently represented the findings in humanizing ways using multimedia and music. Drawing on the insights from exploring these novel methods of digital and musical inquiry, our work illuminates noteworthy elements of narrative research: generativity, transformativity, interpersonal ethics, aesthetic ethics, and communal ethics. Additionally, the potential issue of trustworthiness in fluid narrative inquiries is addressed.