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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.

Recognizing the transformative potential of AI, the ICDE Quality Network has developed this report as a key initiative to explore its application in teaching and learning globally. This endeavour underscores the Network’s commitment to advancing quality education by promoting the responsible integration of AI.

This compendium captures examples of internationalisation of the home curriculum in TUS. It includes cases of internationalised modules; teaching and assessment practices that promote inclusive learning; collaborative learning and teaching projects involving international partners; and co-curricular intercultural competence initiatives.

This practitioner guide is designed to offer an overall framework for successfully developing and facilitating group work processes. It guides the novice practitioner through each stage of the process. It signposts associated challenges and provides suggestions for helpful responses.

This workbook takes the student on a conceptual journey aiding their understanding of what is meant by the quantitative-qualitative research process in contemporary legal empirical research. Although, of interest to social science students, the particular worked examples relate to how to do research on law, legal policy and review.

This lecture addresses core issues in choosing a research topic for undergraduate and first time researchers to consider. Often final year undergraduate students find this task a difficult one. Step by step the the lecture connects the student to core concepts, pressure points and key readings to foster their idea and focus their decision.

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.

This OER investigates the role of digital technology in the acquisition of practical skills in health sciences. While it is commonly accepted that theoretical knowledge can be imparted using technology, how best to use technology to support practical skill acquisition is a growing area which presents many opportunities.