Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators

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European Union

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Topic(s)

Teaching and Learning Practice

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CC BY

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PDF

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Description

The use of AI systems can potentially enhance teaching, learning and assessment, provide better learning outcomes and help schools to operate more efficiently. However, if those same AI applications are not properly designed or used carelessly, this could lead to harmful consequences. Educators need to be aware and ask questions whether AI systems they are using are reliable, fair, safe and trustworthy and that the management of educational data is secure, protects the privacy of individuals and is used for the common good. “Ethical AI” is used to indicate the development, deployment and use of AI that ensures compliance with ethical norms, ethical principles and related core values.

Benefit of this resource and how to make the best use of it

These ethical guidelines on AI and data usage in teaching and learning are designed to help educators understand the potential that the applications of AI and data usage can have in education and to raise awareness of the possible risks so that they are able to engage positively, critically and ethically with AI systems and exploit their full potential.

Creative Commons Attribution (CC BY)

This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.

https://creativecommons.org/licenses/by/4.0/
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European Union (2022). Ethical guidelines on the use of artificial intelligence (ai) and data in teaching and learning for educators. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/ethical-guidelines-on-the-use-of-artificial-intelligence-ai-and-data-in-teaching-and-learning-for-educators/ License: Creative Commons Attribution (CC BY).

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Related OER

This survey was adapted from a North American Faculty OER Survey Toolkit for use in the Irish Higher Education context. It was used across the DOERs project partner sites to audit staff Open Educational Resources and Open Educational Practices awareness and practices. We encourage other institutions to adapt this tool to meet their needs.

This open course is designed to facilitate the development of your Artificial Intelligence (AI) literacy so that you can explore and innovate using Generative AI (GenAI) within your teaching, learning, and assessment practices.

In light of the potential opportunities and challenges of these technologies, this course will facilitate you in exploring the fundamentals of GenAI and AI Literacy, whilst focusing on an ethical practice. You will consider innovative ways in which you can respond to the challenges arising from the impact of these technologies in Higher Education.

Completion of this course will support you in developing a GenAI teaching strategy to apply to your own practice.

This report discusses the views of final year students and graduates who attended a TCD led, multi-institutional one-day workshop on what student success means to them, and what they identified as the facilitators of and barriers to achieving that success. The findings were based on the analysis of four types of inputs for the seminar: written submissions by students on the theme prior to the seminar, student talks, a panel discussion and workshop discussions on the day of the seminar. In order to have a framework to discuss the concept at the seminar, a thematic analysis was performed on the written submissions which students submitted prior to the seminar. Three broad categories of success were identified: academic, personal and social. While initially academic success features predominantly, as students progress through their studies, they develop a more holistic perspective where personal and social success become increasingly important to them. Student success is a broad concept. It is different for and personal to each student and changes with the student’s journey from initial entry to college through to graduation.

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