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Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision.

Twelve students and six members of faculty in a small technology-focused university were interviewed. Thematic analysis of the interview data was combined with data collected from a survey of 44 students at the same university. Self-determination theory was applied as an analytical framework.

Three themes were identified – bespoke learning, affect and support – that significantly impact motivation and learning outcomes in programming education. It was also found that students are already making extensive use of large language models (LLMs). LLMs can significantly improve learner autonomy and sense of competence by improving the options for bespoke learning; fostering emotions that are conducive to engendering and maintaining motivation; and inhibiting the negative affective states that discourage learning. However, current LLMs cannot adequately provide or replace social support, which is still a key factor in learner motivation.

Integrating the use of LLMs into curricula can improve learning motivation and outcomes. It can also free educators from certain tasks, leaving them with more time and capacity to focus their attention on developing social learning opportunities to further enhance learner motivation.

To the best of the authors’ knowledge, this is the first attempt to explore the relationship between motivation and LLM use in programming education.

This chapter discusses strategic management and growth hacking as complementary approaches to achieving organisational goals and driving growth. It emphasises the importance of aligning growth hacking efforts with overall corporate strategy to ensure synergy and effectiveness. Exploring various aspects of strategic management, including vision, goals, environmental analysis, strategy formulation, implementation, and performance monitoring, the authors delve into the integration of growth hacking with strategic management, highlighting key points of alignment such as resource allocation, target market segmentation, brand consistency, data alignment, risk management, and integration with other functions.

Designers must recognise the significance of a brand logo’s visual elements as they convey various meanings. While studies have attempted to collate visual elements, efforts have often been limited to specific types of visual elements (e.g. typefaces) or restricted to certain product categories. This study aims to conceptualise a comprehensive list of visual elements used in brand logos and to validate it based on the top 500 global brand logos across eight product categories.

A comprehensive list was conceptualised through a combination of literature review, interviews with experts and observations of real brand logos. Using this exhaustive compilation, content analysis of the top 500 global brand logos was conducted to discern the prevalent trends of the visual elements in logos across various product categories.

The content analysis results highlighted an extensive preference for use of wordmark, no outline and horizontal proportion in brand logos. Overall, 42.6% and 31% of brands preferred using cool and neutral colours, respectively. Moreover, the preference for colour categories (warm/cool/neutral), font types (organic/geometric) and stacking of elements (horizontal/vertical/diagonal) varied across product categories.

This study contributes to the literature by creating a comprehensive guidebook of visual elements of logos. It also offers guidance to in-house and third-party designers of companies for logo design to better understand the nuances of intellectual property related to logo elements and assists managers in comparing their brands’ visual identity with those of their competitors.

Psychedelic drugs can induce altered states of consciousness characterised by changes in visual perception, tactile sensation, cognition, and emotion. Although there is a history of misinformation surrounding these drugs, recent investigation has reinvigorated interest. However, little research has assessed the attitudes of psychedelic consumers regarding these substances. The current study aims to explore the attitudes and perceptions of people with experience with psychedelic drugs, specifically surrounding psychedelic drugs themselves and their use within Aotearoa New Zealand.

Nineteen individuals with experience of psychedelic use were recruited to participate across eight groups in semi-structured, exploratory interviews, where a range of topics associated with psychedelics were discussed. Reflexive thematic analysis of the data focussed on participants’ current perceptions and attitudes.

Four themes were produced: (1) a negative historical influence on current perceptions of psychedelics; (2) knowledge is key but not everyone has it; (3) prohibition is not working, policy needs to change; (4) psychedelics have therapeutic potential. These themes emphasise key features of people with experience of psychedelic drugs’ current views and highlight potential areas for future investigation and intervention.

Findings indicate a need for greater public knowledge and awareness of psychedelics in Aotearoa society. Findings also inform information, education and policy, which in turn will reduce the stigma and associated harm that those who have used or use psychedelic drugs may experience.

To the best of the authors’ knowledge, qualitative research aiming to understand attitudes and perspectives surrounding psychedelic drugs and their use from a drug users’ perspective have not yet been assessed.

The purpose of this study is to investigate the impact of leaders’ use of motivational language on psychological relatedness and its effect on employee well-being in flexible and remote working conditions.

A survey among 375 full-time working professionals in the US was conducted with varying frequencies of remote work arrangements. For the analysis, we used a series of PROCESS analyses to examine the moderating effect of leaders’ motivational language use on the relationship between participants’ remote work status and relatedness, with employee well-being as the dependent variable.

The findings revealed a significant moderating effect of leaders’ perlocutionary (direction-giving) language use on the relationship between employees’ remote work status and relatedness. Specifically, the relationship between remote work status and relatedness was stronger when the use of perlocutionary (direction-giving) language gradually increased. Such enhanced relatedness, in turn, generated higher satisfaction and psychological well-being. The study shows the strategic advantage of direction-giving language in enhancing relatedness, thereby contributing to higher levels of employee satisfaction and psychological well-being in remote work environments.

The originality of this article lies in its integration of motivational language theory and self-determination theory to explore the well-being of employees within flexible and remote work status. Furthermore, we conceptualize remote work as a continuous variable with different degrees of flexibility, ranging from occasional telecommuting to fully remote work, allowing for a nuanced understanding of how leaders’ use of motivational language interacts with varying levels of remote work arrangements to influence employee well-being.

We construct a novel dataset of Canadian online job postings, classified by occupation. The data, provided by Indeed, an online job board, represents vacancies advertised by employers across Canada. We have classified these job postings into standard occupations using text analytics. This dataset has been used to study changes in the demand for jobs linked to digitalization over the COVID-19 pandemic. To this end, we leverage time-series and cross-sectional variations in COVID-19 containment policies, examining their impact on jobs broadly related to digitalization. Our findings reveal that vacancies in digital production jobs increased more substantially than in traditional jobs during the reopening phases. However, no substantial differences were observed when considering different types of vacancies according to the use of digital technologies (i.e., occupations at low risk of automation or those that allow remote work). Overall, our results do not support the popular idea that the COVID-19 pandemic marked a significant turning point in digitalization trends, but rather document a modest shift in this direction.

This article explores whether six broad categories of activities undertaken by Canadian business scholars’ academics: publications record, citations record, teaching load, administrative load, consulting activities, and knowledge spillovers transfer, are complementary, substitute, or independent, as well as the conditions under which complementarities, substitution and independence among these activities are likely to occur.

A multivariate probit model is estimated to take into account that business scholars have to consider simultaneously whether or not to undertake many different academic activities. Metrics from Google Scholar of scholars from 35 Canadian business schools, augmented by a survey data on factors explaining the productivity and impact performances of these faculty members, are used to explain the heterogeneities between the determinants of these activities.

Overall, the results reveal that there are complementarities between publications and citations, publications and knowledge spillovers transfer, citations and consulting, and between consulting and knowledge spillovers transfer. The results also suggest that there are substitution effects between publications and teaching, publications and administrative load, citations and teaching load, and teaching load and administrative load. Moreover, results show that public and private funding, business schools’ reputation, scholar’s relational resources, and business school size are among the most influential variables on the scholar’s portfolio of activities.

This study considers simultaneously the scholar’s whole portfolio of activities. Moreover, the determinants considered in this study to explain scholars’ engagement in different activities reconcile two conflicting perspectives: (1) the traditional self-managed approach of academics, and (2) the outcomes-focused approach of university management.

This chapter suggests that self-employment or entrepreneurship can constitute an alternative to employment for neurodivergent people. While this is a suitable and successful option for many, we explore the experience of one entrepreneur who was, and remains, very reluctant in his entrepreneurial endeavors. We use Michael's firsthand autobiographical accounts to showcase his struggle before and during entrepreneurship and its impact on his physical and mental health. We conclude with some reflections on his experience and highlight what the literature on neurodivergent entrepreneurs can learn from it.

The purpose of this study is to investigate and analyse the potential of existing buildings in the UK to contribute to the net-zero emissions target. Specifically, it aims to address the significant emissions from building fabrics which pose a threat to achieving these targets if not properly addressed.

The study, based on a literature review and ten (10) case studies, explored five investigative approaches for evaluating building fabric: thermal imaging, in situ U-value testing, airtightness testing, energy assessment and condensation risk analysis. Cross-case analysis was used to evaluate both case studies using each approach. These methodologies were pivotal in assessing buildings’ existing condition and energy consumption and contributing to the UK’s net-zero ambitions.

Findings reveal that incorporating the earlier approaches into the building fabric showed great benefits. Significant temperature regulation issues were identified, energy consumption decreased by 15% after improvements, poor insulation and artistry quality affected the U-values of buildings. Implementing retrofits such as solar panels, air vents, insulation, heat recovery and air-sourced heat pumps significantly improved thermal performance while reducing energy consumption. Pulse technology proved effective in measuring airtightness, even in extremely airtight houses, and high airflow and moisture management were essential in preserving historic building fabric.

The research stresses the need to understand investigative approaches’ strengths, limitations and synergies for cost-effective energy performance strategies. It emphasizes the urgency of eliminating carbon dioxide (CO₂) and greenhouse gas emissions to combat global warming and meet the 1.5° C threshold.