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The Toolkit includes an introduction to generative AI and lexicon of terms, guidelines for ethical use, recommended adjustments to common modes of assessment to mitigate against the potential risk of unethical use, and discipline-specific case studies of good practice that share innovative forms of learning, teaching and/or assessment.
This toolkit has been specifically designed to assist staff in considering the ethical integration of Generative Artificial Intelligence (GenAI) into their learning and teaching practices, including case studies from across disciplinary contexts. By exploring this toolkit, staff will gain a solid understanding of GenAI and its potential applications and challenges in the field of education. Moreover, the content can be directly utilised by staff to educate and inform students about GenAI and the importance of ethical use.
Creative Commons Attribution-NonCommercial (CC BY-NC)
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In this research article we investigated possible correlations between
students’ discipline areas and their experiences of academic integrity in MTU.
This study explores student perceptions and behaviours concerning academic integrity and the use of Generative AI in the context of Munster Technological University (MTU). It draws insights from a comprehensive survey of 608 students across various faculties and academic stages.
Slides for a digital wellbeing workshop that enables effective navigation of the digital world by
– exploring research on problematic internet use,
– offers workshop participants an opportunity to reflect on their own technology use
– uses the science of habits and the tiny habits methodology to promote more mindful use of digital technology
Reimagining Assessment & Feedback Together (RAFT) is MTU initiative developed to transforming assessment practices. This volume documents twenty-four situated, discipline-specific attempts to rethink assessment and feedback through student partnership and action research.
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URL: https://www.ucc.ie/en/ethical-use-of-generative-ai-toolkit/
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