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The purpose of this paper is to provide a transcript of a dialogue among literacy educators and researchers on the impact of generative aritficial intelligence (AI) in the field. In the spring of 2023, a lively conversation emerged on the National Council of Research on Language and Literacy (NCRLL)’s listserv. Stephanie initiated the conversation by sharing an op-ed she wrote for Atlanta Journal-Constitution about the rise of ChatGPT and similar generative AI platforms, moving beyond the general public’s concerns about student cheating and robot takeovers. NCRLL then convened a webinar of eight leading scholars in writing and literacies development, inspired by that listerv conversation and an organizational interest in promoting intergenerational collaboration among literacy scholars.

As former doctoral students of two of the panel participants, webinar facilitators Grace and Victoria positioned themselves primarily as learners about this topic and gathered questions from colleagues, P-16 practitioners and those outside the field of education to assess the concerns and wonderings that ChatGPT and generative AI have raised. The following webinar conversation was recorded on two different days due to scheduling conflicts. It has been merged and edited into one dialogue for coherence and convergence.

Panel participants raise a host of questions and issues that go beyond topics of ethics, morality and basic writing instruction. Furthermore, in dialogue with one another, they describe possibilities for meaningful pedagogy and critical literacy to ensure that generative AI is used for a socially just future for students. While the discussion addressed matters of pedagogy, definitions of literacy and the purpose of (literacy) education, other themes included a critique of capitalism; an interrogation of the systems of power and oppression involved in using generative AI; and the philosophical, ontological, ethical and practical life questions about being human.

This paper provides a glimpse into one of the first panel conversations about ChatGPT and generative AI in the field of literacy. Not only are the panel members respected scholars in the field, they are also former doctoral students and advisors of one another, thus positioning all involved as both learners and teachers of this new technology.

The concept of personal recovery is now a key pillar of service delivery. It aims to support individuals to flourish and establish a new identity following an acute episode or diagnosis. This view of recovery is unique to each person on that journey. However, there has been a significant focus on measuring these experiences. This paper aims to explore the influence of social constructionism on the concept of recovery within an Irish context, seeking to understand the influence of language, discourse and power on service users’ experiences.

A qualitative, interpretivist methodology was adopted for this case study design. Semi-structured interviews were conducted with 12 service users. Thematic analysis was chosen as the method of analysis.

Personalising recovery did not always lead to the removal of biological symptoms, but with the appropriate supports, individual’s recovery journey was greatly enhanced. On the contrary, personal recovery places overwhelmingly responsibility on the individual to succeed, largely driven by neoliberal discourse. This focus on individualism and the pressure to succeed was further experienced when people sought to re-integrate into society and participate in normalised social order. Ultimately, for many service users, they viewed personal recovery as an unfulfilled promise.

It is not a representative sample of service users within an Irish context.

To the best of the authors’ knowledge, this is the first study to explore influence of social constructionism on the concept of personal recovery within a mental health service context.

This research aims to examine the influence of Chief Executive Officer (CEO) dark triad traits, follower COVID-19 anxiety and self-leadership on follower evaluations of the effectiveness of organizations’ response to the COVID-19 pandemic crisis.

In this paper data were collected over two time periods. At time 1, mid-October 2021, 650 participants responded to questions on their CEO’s leadership traits and self-leadership. At time 2, (3-week lag) 275 matched individual responses provided followers’ evaluations of the effectiveness of the organization’s COVID-19 response and follower self-leadership.

CEO dark triad traits had direct and indirect negative effects on followers’ evaluations of the organization’s COVID-19 response (through COVID-19 anxiety). Follower self-leadership mitigated the negative effects.

By examining the moderating role of self-leadership, we can offer organizations evidence-based strategies to mitigate some harmful effects of leaders exhibiting dark triad traits.

Given that organizations are still dealing with the ongoing ramifications of COVID-19 and planning for future crises, our findings emphasize the negative effects of dark traits on COVID-19 anxiety, and in turn, on follower’s evaluation of effective organization response to a crisis, highlighting the importance of top-level leader selection.

Our results bolster Manz’s (1986) argument that self-leadership might be key to achieving peak performance in organizations and important for follower well-being.

This study of dark traits is especially important in a crisis context to understand how leaders affect followers’ perceptions about organizational outcomes and factors that might mediate or moderate the negative impact. Despite interest in understanding leadership during a crisis, the majority of research is focused on positive traits of leaders (Palmer et al., 2020).

There is a need to support midcareer faculty who have demonstrated scholarly success but require additional development. The purpose of this study was to explore the effects of an initiative for “star faculty” at midcareer, with an emphasis on the role of exceptional others in their professional growth.

This is an exploratory, single-site case study of a midcareer faculty excellence initiative. Data sources include document/site analysis and individual interviews.

Findings reveal the value of “exceptional others” in professional growth among high-performing midcareer faculty. Perceptions about excellence at midcareer emerged as an antecedent to developing midcareer faculty members. Analysis generated themes in behaviors related to supporting midcareer scholars’ professional growth.

This study is an initial step toward refining concepts such as exceptional others, academic stars and scholarly advancement within the academy. There is a need for equity-minded research about these topics. In addition to replication across institutional and disciplinary contexts, there is also a need for longitudinal mixed-methods studies of midcareer faculty mentoring outcomes over time.

The study points to the role of the institution and its senior faculty in fostering midcareer scholarly excellence. Mentoring and development around individualized goals may be of value in addition to an emphasis on clarity around institutional expectations and norms in faculty performance reviews.

Midcareer faculty are a crucial component of the academy, yet they are often overlooked as needing career support, resources and development. This study focuses on mentoring and coaching for postsecondary faculty at midcareer and the role of exceptional others in facilitating faculty professional growth.

The purpose of this article is to examine the expectations, challenges and tensions officers describe while engaged with public schools to demonstrate that officers engage with students in public schools in a conscious, goal-oriented process to establish and maintain useful relationships.

Data collection involved 104 semi-structured interviews (including follow up interviews) and 31 focus groups, conducted between 2014 and 2018 with police officers working in rural areas of a province in Atlantic Canada.

Utilizing the concept of social capital, we analyze practices of investments alongside the understanding of rurality as socially interconnected and the rural school as a particular site of interconnectedness for police officers. We demonstrate how, while accumulating social capital, officers face role tension and fundamental barriers when trying to integrate into rural school communities.

By demonstrating the specificities of building social capital in schools and community environments in a rural setting, we contribute to understandings regarding the unique opportunities and challenges faced by police in rural schools in integrating effectively into schools and responding to youth-specific problems.

Small business capabilities and customer interactions are particularly susceptible to market disruptions. Small businesses must pivot quickly to build or grow their capabilities and manage diverse strategies to deal with crises. This ability to quickly adapt and formulate strategies is necessary to help small businesses maintain sales and continue to engage with their clients, especially in light of disruption and crises. This work uses design thinking strategies to provide insight into how businesses can navigate such disruptions.

This research investigates how design thinking can help small businesses address crises. The focus is on leveraging design thinking strategies such as empathizing, defining, ideating, prototyping and testing (EDIPT), divergence/convergence and customer journey mapping design thinking tools.

The authors provide propositions and strategies to help firms adapt their strategies to the demands of clients during crises.

This piece provides an accessible introduction to three design thinking strategies (general EDIPT model, convergence/divergence and consumer journey mapping). The authors present this in the context of disruption, especially the recent pandemic, specifically focusing on small businesses.

The increasing urgency to address climate change in construction has made green construction (GC) and sustainability critical topics for academia and industry professionals. However, the volume of literature in this field has made it impractical to rely solely on traditional systematic evidence mapping methodologies.

This study employs machine learning (ML) techniques to analyze the extensive evidence-base on GC. Using both supervised and unsupervised ML, 5,462 relevant papers were filtered from 10,739 studies published from 2010 to 2022, retrieved from the Scopus and Web of Science databases.

Key themes in GC encompass green building materials, construction techniques, assessment methodologies and management practices. GC assessment and techniques were prominent, while management requires more research. The results from prevalence of topics and heatmaps revealed important patterns and interconnections, emphasizing the prominent role of materials as major contributors to the construction sector. Consistency of the results with VOSviewer analysis further validated the findings, demonstrating the robustness of the review approach.

Unlike other reviews focusing only on specific aspects of GC, use of ML techniques to review a large pool of literature provided a holistic understanding of the research landscape. It sets a precedent by demonstrating the effectiveness of ML techniques in addressing the challenge of analyzing a large body of literature. By showcasing the connections between various facets of GC and identifying research gaps, this research aids in guiding future initiatives in the field.

Digital transformation has gained particular interest among academics and policymakers in recent years. However, the empirical quantification of digital transformation stages and their impact on innovation in small and medium-sized enterprises (SMEs) remains understudied. Therefore, this study aims to investigate the impact of digital transformation stages on a differentiated measurement of innovation performance in SMEs.

The authors propose a simplified one-dimensional digital maturity path to estimate the stages of digital transformation in SMEs. The authors validate their approach with a cluster analysis and perform an ordered logistic regression to estimate the impact of digital transformation stages on SMEs' innovation performance.

The authors' results show that digital transformation in general has a positive impact on SMEs' innovation performance. More precisely, the authors find that the early stage of digital transformation has a detrimental effect on innovation performance, while significant and positive effects can be expected from the experimental stage onward. Furthermore, the advanced stage of digital transformation significantly increases the probability of producing radical innovations.

This study contributes to the ongoing discussion about the relationship between digital transformation and innovation in SMEs by presenting an approach to quantify digital transformation stages in SMEs. Additionally, this study provides new insights into the specific dynamics of the relationship between different stages of digital transformation and their impact on a differentiated measurement of innovation performance, including technological, non-technological and radical innovation.

Although the prior literature has identified the relevance of dealer participation for multinational enterprises (MNEs), it is unclear whether such participation could also be an important means for local dealers to learn from MNEs. By adopting local firms’ viewpoint, our study draws on organizational learning theory to examine how local dealers benefit from their participation with foreign suppliers in Africa.

The empirical setting is a combinative dataset of secondary data and primary survey of 164 small- and medium-sized local dealers with nine subsidiaries of a Chinese motorcycle company in six countries of Sub-Saharan Africa.

This research shows that dealer participation is positively associated with dealer performance, and this positive effect is stronger when local dealers operate in regions with low government corruption and high government support. However, the positive relationship is weaker when local dealers use the local tongue extensively but becomes stronger when their foreign suppliers have a high dealer coverage.

By taking a local-participant perspective, our study extends the participation literature to show how firms from a resource-constrained region may benefit from their proactive participation with foreign counterparts. Additionally, we identify the boundary conditions of institutional factors and strategic choices of local dealers and foreign suppliers, providing a nuanced understanding of firm behaviors in complex and uncertain markets.

The purpose of this study was to examine the learning experiences of high school Black males participating in an academy of engineering that was configured as a magnet school. We followed a qualitative case study design to explore the experiences of 16 Black male academies of engineering students. We identified three recurring themes from the interviews with the Black male academy of engineering students: Promoting Interests in STEM, Drawing Connections to Core Academic Concepts, and An Affinity for Hands-on Learning through the Engineering Curriculum. The results of our study helped us to better understand how academies provide a platform for Black male students' interest in engineering as a viable college and career pathway.