Coventry University: E-Journals
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Developing Policies to Address Historic Contract Cheating and Misuse of Generative Artificial Intelligence
Full text linkWhen students submit written assignments for assessment, they are generally trusted to have completed these honestly, and to have benefitted from the opportunity to learn. Academic integrity breaches are sometimes detected during the assessment process. Some common examples of integrity breaches during students’ academic writing include contract cheating, the unauthorised use of GenAI technology for completing assignments, and using AI tools to disguise existing work so that it appears to be original. None of these are new phenomena. Processes and procedures should be in place for managing suspected academic misconduct cases detected during the assessment process. But what happens when academic misconduct is detected retrospectively, sometimes after a student has moved degree programmes or graduated?
This position paper sets out the case for universities and other academic institutions having procedures in place to deal with historic academic misconduct. It provides examples of how institutions can become aware of misconduct, including through whistleblowing and through development of more effective detection software. The authors bring together legal and educational expertise to suggest considerations that individual institutions should make towards future policy development. The discussion considers that students must be supported and prepared for success, but that institutions cannot ignore the reputational risks associated with cases of historic misconduct
The purpose of the Digital Markets, Competition, and Consumers Bill: What do the experts think?
Full text linkReliability of Large Language Models for Identifying and Classifying Content in Research Articles
Full text linkGenAI has demonstrated functionality that seems, uncannily, to parallel reading and writing by identifying/reformulating information from source texts and generating novel content and argumentation. These skills are essential yet challenging for many students tasked with producing literature reviews. This study takes the first steps to investigating the feasibility of a GenAI-facilitated literature review. This investigation starts from the ‘human-in-the-loop’ position that complex processes can be deconstructed and compartmentalized, and that component functions needed for these processes can be delegated to machines while humans contribute to, or control, the overall process. We explore the hypothesis that certain functions of the literature review process, such as information extraction and content classification, might be able to be automated. Prompts modeled on recommended practices for research synthesis were designed to identify and classify particular types of content in research articles. Outputs produced by two GenAI models, GPT-3.5 and GPT-4o, were assessed for reliability with a human coder. Overall, the results posit concerns about the models’ performance on this task, cautioning against direct uses of GenAI output as learning scaffolding for students developing literature review skills
The Conundrum of Managing Research and Development Projects: How Can Research Managers and Administrators Leverage Industry Practices in Project Management?
No full textWhat is new?
This short essay addresses the application of industrial project management practices to the field of research management and administration. Beyond specific project management frameworks and methodologies widely spread in industry contexts, it outlines a set of core tools and techniques that can effectively inform the development of research management activities in this area.
What was the approach?
Although there is no unique blueprint for ideal research project management approaches, best practices and useful guidelines and tools can be defined to help research managers and administrators fulfil their roles. These are systematized per major project management stage, based on a review of existing literature and the author´s experience with complex research projects.
What is the academic impact?
The paper summarizes relevant knowledge spread over the specialized project management literature.
What is the wider impact?
The heterogeneity of partners, strict funder regulations, work uncertainty, and the creative nature of research and development mean that project organization and management should reflect and accommodate these specificities. The findings presented in the paper can assist research managers and administrators in formulating appropriate management strategies for research and development projects, enabling them to make better-informed decisions based on the insights provided
Open Science and Research Data Management in Horizon Europe: An Overview
Full text linkWhat is new?
Open Science is considered the “modus operandi” within the EU’s Horizon Europe research funding programme. However, researchers and institutions often struggle to navigate its legal provisions and practical requirements on open science and Research Data Management (RDM). This paper addresses this gap by providing a structured analysis of Horizon Europe’s Open Science obligations and incentives, both in the implementation of projects and in the application process.
What was the approach?
This study examines the Open Science framework within Horizon Europe by analyzing its legal mandates, proposal evaluation criteria, and practical implementation guidelines.
What is the academic impact?
The findings contribute to the field of Research Management and Administration by offerning a concise summary of the Open Science requirements in Horizon Europe.
What is the wider impact?
This paper provides actionable insights into meeting Horizon Europe’s Open Science requirements, ensuring compliance, and leveraging Open Science as a strategic advantage in funding applications