In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…

This study presents a corpus analysis of academic integrity policies from Higher Education Institutions (HEIs) worldwide, exploring how they address the issues posed by technological threats, such as Automated Paraphrasing Tools and generative-artificial intelligence tools, such as ChatGPT. The analysis of 142 policies conducted in November and…

Lies to benefit the collective are common in adult contexts; however, less is known about children's willingness to lie for the collective. The present study examined 7- to 11-year-old children's tendency to lie to conceal a group transgression. Children (N = 408) participated in a competition in small groups during which the group leaders…

Identifying illicit behavior in survey research is inherently problematic, since self-reports are untrustworthy. We argue that fraudulent interviewers can, however, be identified through statistical deviance of the distributional parameters of their interviews. We document that a high proportion of the variation in the data is due to the…

Academic honesty is a fundamental property of character values from an early age. It should be integrated into every learning process in the context of habituation towards continual learning. This study aimed to investigate student's academic honesty through acid-base material in chemistry using contextual-based discovery learning (CDL) model. By…

Unethical research practices are prevalent in China, but little research has focused on the causes of these practices. Drawing on the criminology literature on organisational deviance, as well as the concept of "cengceng jiama," which illustrates the increase of pressure in the process of policy implementation within a top-down…

This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…

In test security analyses, answer copying, collusion, and the use of a shared brain dump site can be detected by checking similarity between item response strings. The similarity, however, can possibly be contaminated by aberrant data resulted from careless responding or rapid guessing. For example, some test-takers may answer by repeating a…

Policy analysis studies conducted in various countries have highlighted strengths and weaknesses in university academic integrity policy documents that outline expectations for student conduct while undertaking scholarly work. Missing from the literature is a review of such policies currently in place at the eight public universities in Aotearoa…

Background: Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And…

Although postsecondary students' rate of academic dishonesty has been consistent over the last 50 years, the most significant increase in cheating has been in unpermitted collaboration. Given the changing learning environments necessitated by COVID-19, this study investigates how 12 college students at a highly selective Research 1 institution…

This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…

This study examines the academic dishonesty tendencies, created metaphors and opinions on the "ethics" and "science and research ethics" and "opinions on the taken course" of prospective teachers who took the science and research ethics course. Embedded mixed design was preferred. Academic dishonesty tendency scale,…

Academic dishonesty is a major issue in education. Perhaps more so in the online environment where may times students are on their honor to complete exams without the use of the Internet, notes, or other prohibited materials. The age range of 18-24 encompasses the traditional aged student body. The non-traditional students are over the age of 25…

Artificial intelligence (AI) has been a hot topic since OpenAI released ChatGPT in late 2022. Predictions on how ChatGPT will affect education have ranged from fears of rampant cheating and job displacement in many career fields to glowing predictions of a future with personalized learning for all students through AI-powered tools. People are…