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This paper examines William Stanley Jevons’s approach to human “improvement” in comparison with that of Carl Menger. In Jevons’s view, people are relatively static when left to their own devices. Thus, to “attack” the “citadel of poverty” they must be improved by those who know what is “best” for them. Menger’s view of people as planners, by contrast, is one in which people are capable of improving themselves. Jevons was a social reformer who placed great faith in education, and painful training and instruction, broadly defined, as key mechanisms of reform. Less frequently acknowledged but no less important, Menger also foresaw “the improvement of mankind” from within, as consumers came to better understand how best to attain their wants and needs over time.

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.

Published below are the course reading list and student notes taken by F. Taylor Ostrander in Frank H. Knight’s course, Current Tendencies, Economics 303, at the University of Chicago during Winter term of the 1933–1934 academic year. The reading list is surprisingly casual and uneven in detail among items. The notes are assumed, as usual in these volumes, to be a reasonably accurate summary account of what Knight said.

The researchers aim to investigate how students can be deterred from cheating, whether legal or ethical policies and procedures are effective and whether there are gender differences.

Using data on students undertaking midterm and final e-examinations, as well as a control group of students who were caught cheating in an online mid-semester examination, the authors attempt to answer the research questions.

No differences were found in cheating in terms of students’ gender or whether they were repeating a course or not. However, the study revealed that if there are more internal controls imposed and if before the examination students are made to reinforce their academic integrity, e-examination cheating is reduced.

No other published study was carried out with students who were involved in cheating.

By “political economy” I mean both the method of thought and the body of knowledge which refer to human economising behaviour. The body of knowledge includes both theory — theorems, laws, empirical generalisations, etc., and “facts” — history, description of institution, statistical data, etc. By “Christian theology” I mean both the method of thought and the body of knowledge which refer to the human religious understanding of Jesus of Nazareth. “Religious” here implies awareness of, or belief in, God. The body of knowledge may include pre‐Christian religion (such as that reported in the Old Testament), and the results of independent inquiry (such as natural theology) in so far as these are interpreted by, or “refracted” through what theologians call the “Christ event”.

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 corruption and fraudulent practices have become problematic in recent years. Governments around the world have introduced dedicated higher education commissions to regulate higher education providers. The purpose of this paper is to design a system for the detection and prevention framework of fraudulent behaviour in higher education.

This paper performs a survey on academic misconduct practices and expands the survey by analysing the accreditation process. This study further identifies common corrupt practices in the accreditation process with reference to particular accreditation standards or laws. If the accreditation process is as thorough as, this paper is led to believe, a higher institute may stop being compliant immediately after the accreditation process. playing a catch-me-if-you-can at the next accreditation cycle. The survey of the accreditation process and identification of corrupt practices lead to an identification of preventative and detective measures.

The review of accreditation procedures and conditions identifies that fraudulent practices can occur at every part of any policy and procedure. The framework prevents repudiation and allows for spontaneous investigations internally and externally. The blockchain prevented changes to the system and allow for auditing of changes. A system such as this could suppress accreditation fraud and minimise its corrupt impact. Not to mention identify with relative ease the severity and life of corrupt practice.

Contributions are made in the framework for detecting and preventing corrupt practices in Higher Education using blockchain immutable transactions. This enables real-time accreditation compliance checks and monitoring of conditions. External complaints or reviews can be conducted with minimum interactions from higher education providers.

Though contemporaries, Adam Smith and Sir James Steuart are commonly portrayed as if they belonged to different eras. Whereas Smith went down in history as both founder of the science of political economy and patron saint of economic liberalism, Steuart became known as the last, outdated advocate for mercantilist policies in Britain. Smith himself was responsible for popularizing the notion of the “system of commerce” as an approach to political economy that dominated the early modern period. As a historiographical concept, the mercantile system became a misguided international trade theory grounded upon the Midas fallacy and the favorable balance of trade doctrine. Smith’s treatment of international trade in the Wealth of Nations, however, was criticized for its inconsistencies and lack of analytical clarity even by some among his own followers. Given Smith’s doubtful credentials as an international trade theorist, the chapter investigates the reasons that led him and Steuart to be placed on opposite sides of the mercantilist divide. The authors analyze the works of both authors in depth, showing that their disagreements had chiefly to do with different views on money and monetary policy. Additionally, the authors explore how early nineteenth-century writers such as Jean-Baptiste Say and J. R. McCulloch helped forge the intellectual profiles of both Steuart and Smith.

“Communism has never concealed the fact that it rejects all absolute concepts of morality. It scoffs at any consideration of “good” and “evil” as indisputable categories. Communism considers morality to be relative, to be a class matter… It has infected the whole world with the belief in the relativity of good and evil.” Aleksandr I. Solzhenitsyn, Warning to the West, 1975.