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This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

Academic integrity in tertiary education is a global concern. This chapter describes academic integrity in Australian universities and proposes an “it takes a village” framework to guide universities toward a re-evaluation of academic integrity education. It takes a village to raise a child – a child needs role models and positive influences from multiple people for healthy growth and development. With regard to academic integrity, the parallel is that the entire university community needs to be involved to foster development of students of integrity. The institution and its community need to provide structures, multiple positive and effective learning experiences, and clear guidelines to support both staff and students. In this chapter, we argue that academic integrity needs to be seen as a complex system, one in which everyone involved has responsibility to develop and maintain a culture of integrity and one which supports a student throughout their academic journey.

For researchers and sector agencies around the world, poor academic integrity is seen as a significant risk to universities (Bretag & Harper, 2017; QAA, 2020; TEQSA, 2019). Given the existential threat that acts of academic misconduct are deemed to pose to higher education, interest in ways of developing academic integrity is correspondingly high and often invokes the concept of values (Macfarlane et al., 2014; Morris, 2018). However, to ascribe to academic integrity, the status of a self-evident, perhaps universal, value of contemporary higher education is contentious on many levels. This chapter takes in turn three of the most common ways in which students and scholars infringe on the principles of academic integrity – plagiarism, collusion, and contract cheating – and explores what the prohibiting of each of these acts reveals about the values of contemporary higher education. It argues that, far from neutral or universal, the values of academic integrity appear both normative and culturally specific, promoting a particular conception of higher education which risks excluding large sections of the global population. To counter this, the notion of threshold values – borrowing from Meyer and Land's (2005) notion of the “threshold concept” – is proposed, identifying the development of shared values as crucial to ensuring that contemporary, globalized universities are inclusive and accessible spaces.

Human perceptions, attitudes, and relationships are shaped by worldviews and values. The rich mosaic of worldviews in today's fast-changing global village, where cultures interact and information flows freely, challenge educators and students. Worldviews influence problem modeling and solutions. Worldviews give us psychological confidence that the world is as we see it, safe, secure, and belonging. Each worldview is consistent with the assumptions, ideals, and analytical processes. Values define behavior, attitudes and decision-making. The global higher education system's long history and recent developments in globalization, technological innovations, and internationalization make it even more complex. Globally, higher education is evolving rapidly. Global political, economic, social, technological, and environmental factors promote rapid change. Higher education institutions have struggled to adapt to these developments due to limited resources and capacity. Growing demand has created new business models and institutions. Access, equity, inclusion, and quality are new issues that emerged. To be relevant in a rapidly changing environment, higher education institutions must adapt to the knowledge society and growing need for access. This anthology contains 14 thought-provoking studies on worldviews and values in teaching-learning, curricula, assessment, and outcomes.

The purpose of this paper is to reflect on the creation of safe academic (education and research) environments that offer proper protections to adult academics and staff, so that academia and society at large may benefit from the fruits of safe workplaces. Not all academic environments are entirely safe, and there are recorded cases of victims of harassment and sexual abuse.

Given that co-workers in a laboratory, or research subjects in a research project, may be victims of harassment or sexual abuse, and that the same individuals may then become co-authors or anonymized research subjects, respectively, in academic papers, there is a need to appreciate what structural protection exists for such victims at the post-publication level. What should academia do with the literature of legally recognized sex offenders who have published in peer-reviewed and indexed academic journals?

Currently, there is no specific guidance by ethics organizations (e.g., Committee on Publication Ethics and International Committee of Medical Journal Editors) to deal with this issue, so protective mechanisms for adult victims, as well as punitive measures against perpetrators at the post-publication stage, are needed.

There may be career-altering repercussions – personal, professional and reputational – for co-authors of legally recognized sex offenders in papers published in peer-reviewed and indexed journals. There may also be life-altering outcomes to victims of sexual abuse who are the study subjects of such papers. Thus, a robust form of post-publication protection (and justice) based on unbiased and independent ethical and legal investigations, coordinated by editors, publishers and research institutes, needs to be established.

The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are.

Although ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work.

While the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not.

This paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

Purpose of This Chapter: This research aims to study the need for more age of qualified talent. The evolving corporate needs, education, and curriculum require urgent reform. Current university methods do not align with corporate demands due to outdated content and ineffective pedagogy.

Design / Methodology / Approach: Drawing on established research, this study delves into 7 prominent training strategies across 14 sectors. A survey of 53 HR professionals and managers forms the basis for employing the non-linear best–worst method (BWM) and the Fuzzy BWM to discern the most effective training and development (T&D) modules. This comprehensive methodology ensures a nuanced analysis of T&D practices and insights for businesses seeking to align with Industry 5.0 demands.

Findings: On-the-job training emerges as the most impactful method, followed by case studies, interactive group learning, and more. These methods enhance employee skills in Industry 5.0.

Research Limitations: Limited by a small sample, future research should expand participant diversity for robustness.

Practical Implications: The study holds significance for bridging the skill gap between academic institutions and Industry 5.0. Aligning strategies with industry needs reduces skill disparities, fuels growth, and addresses employability. The study’s impact extends to society, lowering unemployment and shaping a resilient, adaptable workforce for Industry 5.0.

Originality: This innovative research examines decision-making for implementing T&D strategies in the emergence of Industry 5.0, aligning with a human-centric approach to business transformation.

This study explores the opportunities for a gender-inclusive architecture, engineering and construction (AEC) industry, focussing on the gap between architectural education and practice. This study focusses on three research questions: (1) What factors influence women architects' career retention and advancement in the AEC industry? How can practice outcomes be linked with educational approaches for gender inclusion in the AEC industry? (3) What critical factors can enable structural changes in architecture education, including AEC-related subjects and practice/career pathways towards gender equity?

This paper is based on a systematic literature review (SLR). The established timeframe for selecting papers in this study considered the last 20 years, as various seminal studies in feminism and gender inclusion in architecture emerged in the early 2000s through the definition of keywords used in two prestigious databases. The academic articles selected were filtered through a process of inclusion and exclusion, following criteria for suitability and relevance using a Preferred Reporting Items for Systematic Reviews (PRISMA) diagram.

This study revealed key trends in the literature review consistent with the research questions, including (1) the disproportionate struggles women face at individual, interpersonal and organisational levels and the gender-based bias from entry and progression in the AEC industry that also requires multi-level interventions; (2) traditional architecture education affects female students and educators who find networking, social capital and leadership opportunities to challenge gender-based stereotypes and promote workplace equity, and finally, (3) observe enablers for fostering equity in architecture and education, which should not be limited to policy-driven interventions but structural transformations through transparency, mentorship, leadership, awareness raising and empowerment of women and men, promoting inclusivity and gender equity in the AEC industry.

This study considers a global understanding of gender equity in the AEC industry, regional and country-specific analysis needs to be considered in future studies. The study's focus is on women’s inclusion, acknowledging the limitations of conventional binary gender concepts; future studies need to include the experiences of LGBTI + communities and other underrepresented groups. The literature review considers only academic articles; future research should also consider industry reports, government initiatives and organisational documents for a broader understanding of diversity efforts in business.

This paper observes the issues for gender-inclusive architecture within the context of a male-dominant AEC industry through linking architectural education and practice. Studies rarely focus on this link and address workplace issues. This study highlights this link and extends the discussion through the critical literature review, providing a new ground for geographic-specific or intersectional studies.

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.