This essay focuses on the components and uses of the Dissertation in Practice (DiP) relative to the Carnegie Project on the Education Doctorate (CPED) and the alignment of the DiP description and process to the U. S. Office of Research Integrity Responsible Conduct of Research (RCR) conditions and requirements. The essay provides a cursory view of…

The aim of this study was to investigate the academic dishonesty among university students. For this the researcher has formulated two types of objectives i.e., 1. To study the predictive power of gender and streams of education in relation to academic dishonesty of university students, 2. To study the direct effect of gender, streams of…

The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…

The present study examined the associations among social media use and academic self-efficacy, academic procrastination, and academic achievement. Grit was proposed as the potential mediator between social media use and different academic variables. Two samples of undergraduate students recruited from two different universities in the U.S. (Study…

The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…

Purpose: The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market…

This narrative autoethnography explores how non-normative decision-making processes within higher education institutions impact instructional designers' work. Drawing on 13 months of reflective journaling, the author examines their experience navigating a university operating as an organized anarchy through the lens of Cohen et al.'s (1972)…

Research ethics is considered an important element in academia, concerning the behavior of researchers in promoting scientific integrity. This study aims to survey scientific integrity of researchers in scholarly publishing across 16 global and frontier research universities in Thailand. The quantitative method was used to collect data from…

This paper attempts to investigate various facets of the multi-layered dynamics of open-book exams, from student perceptions, preferences, academic performance and satisfaction, to the highly relevant issue of academic integrity. Unfortunately, despite some controversies regarding academic integrity and the repercussions of open-book exams, very…

Academic file-sharing services encourage students to upload materials, sometimes their own study notes for example, but can also include copyrighted university documents, in exchange for access to downloading resources from a common repository. In this process, the lines between legitimate study help and academic misconduct are unclear.…

The rapid integration of artificial intelligence (AI) tools into education has introduced both opportunities and challenges for academic institutions. As educators navigate whether and how to allow AI use in their classrooms, syllabus statements have become indispensable for clarifying expectations and promoting digital literacy. This article…

We present a model with corrupt and honest examiners, and applicants with heterogeneous innate ability in the education sector with effort and bribe modelled as substitutes. The results show that 'strong' candidates rely only upon effort; 'medium' candidates choose positive levels of bribe and effort; 'weak' candidates rely only on bribery. They…

This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…

Increasing integrity concerns in medical research have prompted the development of tools to detect untrustworthy studies. Existing tools primarily assess published aggregate data (AD), though scrutiny of individual participant data (IPD) is often required to detect trustworthiness issues. Thus, we developed the IPD Integrity Tool for detecting…

Artificial Intelligence (AI) can foster education but can also be misused to breach academic integrity. Large language models like ChatGPT are able to generate solutions for individual assessments that are expected to be completed independently. There are a number of automated detectors for AI assisted work. However, most of them are not dedicated…