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Legislators continue to label Critical Race Theory (CRT) and other race-based concepts as divisive. Nevertheless, CRT, at its core, is committed to radical transformation and addressing issues of race and racism to understand how People of Color are oppressed. Through rhetoric and legislative bans, this current anti-CRT movement uses race-neutral policies and practices to limit and eliminate CRT scholars, especially faculty members, from teaching and researching critical pedagogies and other race-based topics.

Through semi-structured interviews using Critical Race Methodology (CRM), the authors sought to understand how 40 faculty members challenged the dominant narratives presented by administrators through their responses to CRT bans. Additionally, this work aimed to examine how administrators’ responses complicate how faculty make sense of CRT bans.

Findings describe three major themes: (1) how administrators failed to respond to CRT bans, which to faculty indicated their desire to present a neutral stance as the middle ground between faculty and legislators; (2) the type of rhetoric administrators engaged in exemplified authoritarian approaches that upheld status quo narratives about diversity, exposing their inability to stand against oppressive dominant narratives; and (3) institutional leaders’ refusal to address the true threats that faculty members faced reinforced the racialized harm that individuals engaging in CRT work must navigate individually.

This study is one of the few that provide empirical data on this current anti-CRT movement, including problematizing the CRT bans, and how it affects campus constituents such as faculty members.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

The lack of progress toward equity in the U.S. is evident across many spheres of society, academia notwithstanding. Women academicians, in particular, face many barriers that prevent them from advancing–including a continued unsupportive climate, competing work and family demands, and interpersonal discrimination. This paper reflects on a collaborative research effort in the United States to enhance allyship for women in academia.

The authors partnered with a major university to hold ally training for department chairs during a university-wide department chair meeting. The authors developed a methodology for creating and implementing training content using a focus-group-based training needs analysis and a diversity science grounded approach to allyship training. The authors followed this up with surveys to assess impact.

Participants indicated that they learned from the training, but participation in follow-up data collection was limited, hampering the ability to conduct rigorous quantitative analyses around intervention impact.

Although the sample size may have been too limited to detect effects, the current study provides an approach that furthers the way in which researchers and practitioners can better assess the impact of allyship to women academicians.

Published research on allies is very limited. The current research examines allies in the context of helping women in academia.

Despite widespread recognition of the importance of first-line supervisors in support of diversity, limited intervention designs are available. The authors add to the extant literature on diversity interventions, while highlighting barriers to rigorous intervention evaluation.

This paper aims to explore the significance of videoconferencing in blended learning, using the technology acceptance model to investigate students’ perceptions and its impact on course engagement, student satisfaction and future technology use intention. In addition, it examines the role of teacher support in fostering interactive virtual learning experiences.

This study focuses on a cohort of international students regarding blended courses amid the COVID-19 pandemic when the conventional face-to-face components were substituted with virtual classrooms through videoconferencing. It aims to investigate how to facilitate connectivity between Southeast Asian students and their professors located in a Southern state in the USA.

This study reveals that the perceived usefulness of videoconferencing predicts future intention to use, emphasizing the vital role of teacher support in engaging students in virtual classrooms and contributing to student satisfaction.

The small sample of international students in blended courses with an American university during the COVID-19 pandemic may limit the generalization of the findings.

Videoconferencing can be a valuable tool to enhance connectedness in digital learning post pandemic.

Videoconferencing in blended learning can bridge geographical barriers and provide access to diverse learners who might otherwise have limited educational opportunities.

This study supports the integration of videoconferencing as a mechanism for providing high-quality digital learning experiences.

This study aims to assess the spread of environmental literacy graduation requirements at public universities in the USA, and to highlight factors that mediate the adoption of this curriculum innovation.

The author analyzed the undergraduate general education curriculum requirements at all 549 public BA-granting higher education institutions in the USA between 2020 and 2022.

The study found that only 27 US public universities out of 540 have an environmental literacy graduation requirement, which represents 5% of universities and is substantially lower than previous estimates.

First, this study provides a more complete, more reliable and more current assessment of the graduation requirement’s presence at US tertiary institutions, and shows the number of universities that have implemented this innovation is lower than was estimated a decade ago. Second, it draws from the scholarship on the infusion of sustainability into the university curriculum to provide a comprehensive discussion of factors that mediate the pursuit and implementation of the graduation requirement. As well, it identifies factors that played a key role in one pertinent case.

This paper aims to shed light on how the composition of future blended learning (BL) courses can be changed to provide students with quality academic learning experiences. The model suggested in this study will guide instructors on how to design their course learning outcomes to ensure effective delivery.

The new model has been developed by combining Bloom's taxonomy and Carman's model. Later, a new framework entitled “PATHCO” based on an extensive literature review is applied to enhance the quality of all five components of Carman's model.

The PATHCO conceptual framework has been developed to ensure quality in the five main teaching and learning factors. This framework covers criteria like pedagogical, assessments, technical, health care and organizational. Further research is required to broaden the main elements of the suggested framework and to validate this research through a case study.

The COVID-19 pandemic has transformed the landscape of the education sector by encouraging an extensive acceptance of technology-enhanced learning and teaching. Blended learning (BL) has become the most appropriate medium to deliver online learning (OL). However, educators and students have reported dissatisfaction with the BL mode of delivery. To address this dissatisfaction, this study outlines, using the PATHCO model, all the essential building blocks which are required to find the right blend of both face-to-face and online components.

This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and longstanding calls to define and disseminate quality implementation good practice.

A virtual nominal group technique engaged experts (n = 14) in idea generation, refinement and consensus building across asynchronous and synchronous stages. The resulting qualitative and quantitative data were analysed using thematic analysis and descriptive statistics, respectively.

The GenAI Academic Integrity Policy Development Blueprint for EMI Tertiary Education is not a definitive mandate but represents a roadmap of inquiry for reflective deliberation as institutions chart their own courses in this complex terrain.

If repeated with varying expert panellists, findings may vary to a certain extent; thus, further research with a wider range of stakeholders may be necessary for additional validation.

While grounded within the theoretical underpinnings of the field, the tool holds practical utility for stakeholders to develop bespoke policies and critically re-examine existing frameworks.

As texts produced by students using English as an additional language are at risk of being wrongly accused of GenAI-assisted plagiarism, owing to the limited efficacy of text classifiers such as Turnitin, the policy recommendations encapsulated in the blueprint aim to reduce potential bias and unfair treatment of students.

The novel blueprint represents a step towards bridging concerning gaps in policy responses worldwide and aims to spark discussion and further much-needed scholarly exploration to this end.

This study reports on changes made within the study, plan, teach and reflect steps of lesson study with pre-service teachers who were learning to teach within a disciplinary literacy course.

Using methods associated with formative experiments and design-based research, this study gathered data over four iterations of the disciplinary literacy course. Data included the course materials, pre-service teachers’ written work, observational notes from research lessons, transcripts of post-lesson discussions and teacher-educators’ analysis sessions and pre-service teachers’ post-program interviews. Data were analyzed within and across iterations.

Initial adjustments to the lesson study process focused on the reflect step, as we learned to better scaffold pre-service teachers sharing of observational data from research lessons. Later adjustments occurred in the study and plan steps, as we refined the design of four-day lesson sequences that better supported pre-service teachers’ attention to disciplinary literacy while providing room for their instructional mentors to provide specific team-based feedback. Adjustments to the teach step included reteaching and more explicit attention to literacy objectives.

This paper contributes to the literature by explicitly applying formative experiment and design-based research methods to the implementation of lesson study with pre-service teachers. Furthermore, it contributes examples of lesson study within a disciplinary literacy context, expanding the examples of lesson study’s applicability across content areas.

This systematic literature review investigates the contribution of design thinking (DT) as a process and tool to drive innovation in a sustainable built environment (SBE) and develops a new model for sustainability research integrating DT and future thinking approaches toward achieving a unified DT and foresight notion for future research and applications.

This review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Open-access English articles published between 2000 and 2022 identified using the EBSCOhost, Emerald Insight, DOJA, JSTOR, Scopus and Taylor and Francis database searches were reviewed. The review framework deploys a previously proposed modified Ansoff matrix with an integrated innovation matrix to identify and analyze the challenges and opportunities for innovation growth in SBE. Additionally, a citation analysis was conducted to explore the impact of DT for innovation in SBE, and a proposed framework based on design by drawing on foresight theory was developed.

Research on DT for innovation in SBE faces the challenge of unanticipated impacts. According to the average number of citations per document, innovation associated with new solutions within a new context seems to become highly influential. Additionally, research gaps exist in the integration of foresight and DT into sustainability research to identify new contexts and solutions to SBE. A model of foresight design thinking (FDT) is proposed to guide future research and support the practical application of DT in sustainability.

This analysis was limited by the selection criteria as only certain keywords were used and English-only articles were selected. Future research should consider the use of DT for innovation in SBE using various important keywords, which would improve research findings and expand the contribution of DT to SBE.

The FDT model offers a new holistic framework for the iterative process of reframing and reperception, focusing on divergent and convergent thinking with the goal of contributing to SBE practices.

The integrated framework of DT and foresight can contribute to the study and development of sustainable innovation and a strategic shift toward a sustainable society.

The integration of DT, foresight and sustainability can broaden the horizons of sustainability research by systematically addressing future challenges related to SBE, which can be translated into feasible and innovative solutions. Thus, the FDT model complements the application of DT in sustainable innovation in this research field.

European Parliament adopted a new directive on gender balance in corporate boards when by 2026, companies must employ 40% of the underrepresented sex into non-executive directors or 33% among all directors. Therefore, this study aims to analyze the impact of gender diversity (GD) on board of directors and the shareholders’ structure and their impact on the likelihood of company bankruptcy during the COVID-19 pandemic.

The data sample consists of 1,351 companies for 2019 and 2020, of which 173 were large, 351 medium-sized companies and 827 small companies. Three bankruptcy indicators were tested for each company size, and extreme gradient boosting (XGBoost) and logistic regression models were developed. These models were then cross-validated by a 10-fold approach.

XGBoost models achieved area under curve (AUC) over 98%, which is 25% higher than AUC achieved by logistic regression. Prediction models with GD features performed slightly better than those without them. Furthermore, this study indicates the existence of critical mass between 30% and 50%, which decreases the probability of bankruptcy for small and medium companies. Furthermore, the representation of women in ownership structures above 50% decreases bankruptcy likelihood.

This is a pioneering study to explore GD topics by application of ensembled machine learning methods. Moreover, the study does analyze not only the GD of boards but also shareholders. A highly innovative approach is GD analysis based on company size performed in one study considering the COVID-19 pandemic perspective.