This paper introduces the concept of 'hyper-ambition' in academia as a contributing factor to what has been termed a 'replication crisis' across some sciences. The replication crisis is an umbrella term that covers a range of 'questionable research practices', from sloppy reporting to fraud. There are already many proposals to address questionable…

This essay explores the transformative concept of co-active emergence in education, where human and machine intelligence synergize to enhance learning experiences. It discusses the integration of AI in doctoral research, emphasizing collaborative efforts between humans and AI to push academic boundaries. It also addresses the challenges and…

Although trust is an essential resource in successful social exchanges, the basis of trust in the student-professor relationship in higher education has not been extensively studied. The purpose of the present study was to gain a better understanding of how trust is developed within a medical school learning environment. To that end, we applied a…

Freely accessible generative artificial intelligence (GenAI) poses challenges to physiology education regarding learning and academic integrity. Although many studies have explored the capabilities of GenAI to complete assessments, few have implemented educative activities to highlight GenAI risks and benefits or explored physiology students'…

This study explores the use of ChatGPT in an Academic English course at a Spanish Polytechnic university, focusing on critical thinking, writing skills, and academic integrity. It proposes a workshop demonstrating how Artificial Intelligence tools can be integrated into the classroom routine. Involving 101 engineering students, ChatGPT was used to…

This qualitative study examined distributed leadership enactment within Whanau Manaaki Kindergartens in Aotearoa New Zealand, exploring effective practices, systems, and processes. Drawing on perspectives from teachers, positional leaders, and chief executives, findings revealed that intentional, values-based, supportive structures alongside…

This study aims to identify and analyze retracted articles in the field of sustainability. It examines a dataset of 117 retracted publications from the past three decades (1996-2023) based on the Web of Science (WoS) database. The retracted articles were written by 467 authors from 27 countries. The findings indicate that the journals with the…

The proliferation of generative artificial intelligence challenges the credibility of assessment in higher education. This article advances a theoretical argument that universities must move beyond detection-based strategies towards ethically grounded, validity-driven assessment practices. Drawing on Ajzen's Theory of Planned Behaviour, Bandura's…

This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…

As generative AI (GenAI) continues to permeate academia, distinguishing between student-authored essays and those by Large Language Models (LLMs) becomes crucial for maintaining academic integrity. This study conducted a survey on the ethical awareness of using generative AI tools among a group of STEM students (n=156). Also, we empirically…

This article examines the application of Quality management principles to learning in the age of AI and digital transformation. The traditional model is considered to be inadequate in coping with modern challenges associated with AI deployment due to concerns of privacy, transparency, and measurement of outcomes. A conceptual model that is…

This paper presents the first systematic investigation into the search engine optimization practices of major contract cheating websites in the United States. From a business perspective, visibility in organic search engine results is considered one of the top client recruitment tools. The current understanding of student recruitment strategies by…

The purpose of this qualitative study was to learn how digital-native college students perceive of cheating and plagiarism. Today's students grew up with high-speed internet, smartphones, and instant access to information. Their learning environment was greatly altered during the COVID-19 pandemic, shifting many from in-person to online learning.…

With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…

Three preregistered studies examined whether 5-year-old children cheat consistently or remain honest across multiple math tests. We observed high consistency in both honesty and cheating. All children who cheated on the first test continued cheating on subsequent tests, with shorter cheating latencies over time. In contrast, 77% of initially…