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A. Hickey, C. O’Faolain and P. Cuffe, “Large Language Models in Power Engineering Education: A Case Study on Solving Optimal Dispatch Coursework Problems”, presented at IEEE International Conference on IT in Higher Education and Training, Paris, France, November 2024
Y. Mormul, J. Przybyszewski, A. Nakoud and P. Cuffe, “Reliance on Artificial Intelligence Tools May Displace Research Skills Acquisition Within Engineering Doctoral Programmes: Examples and Implications”, presented at IEEE International Conference on IT in Higher Education and Training, Paris, France, November 2024
The OER Recommendation aims to assist Member States to support the development and sharing of openly licensed learning and teaching materials, benefiting students, teachers, and researchers worldwide. It supports the creation, use and adaptation of inclusive and quality OER, and facilitates international cooperation in this field through five Action Areas, namely (i) building the capacity of stakeholders to create, access, re-use, adapt and redistribute OER; (ii) developing supportive policy; (iii) encouraging inclusive and equitable quality OER; (iv) nurturing the creation of sustainability models for OER, and (v) facilitating international cooperation.
The OER Recommendation aims to assist Member States to support the development and sharing of openly licensed learning and teaching materials, benefiting students, teachers, and researchers worldwide. It supports the creation, use and adaptation of inclusive and quality OER, and facilitates international cooperation in this field through five Action Areas, namely (i) building the capacity of stakeholders to create, access, re-use, adapt and redistribute OER; (ii) developing supportive policy; (iii) encouraging inclusive and equitable quality OER; (iv) nurturing the creation of sustainability models for OER, and (v) facilitating international cooperation.
These guides have been prepared by UNESCO, as part of its programme of support to governments and educational institutions in implementation of the UNESCO OER Recommendation.
The self-assessment guidelines contain policy-oriented questions with good practice examples from countries that have successfully implemented policies for FLPs in their higher education systems. These examples are drawn from the national case studies implemented under the IIEP research, as well as from a broader review of the literature. The guidelines also include key bibliographical references for further reading related to these policy questions.
These guides have been prepared by UNESCO, as part of its programme of support to governments and educational institutions in implementation of the UNESCO OER Recommendation.
These guides have been prepared by UNESCO, as part of its programme of the support to governments and educational institutions in the implementation of the UNESCO OER Recommendation. They draw heavily on the in-depth background papers prepared by OER experts from around the world in each of the five Action Areas: Prof. Melinda dP. Bandalaria (building the capacity of stakeholders to create, access, re-use, adapt and redistribute OER); Dr Javiera Atenas (developing supportive policy); Dr Ahmed Tlili (encouraging inclusive and equitable quality OER); Dr Tel Amiel (nurturing the creation of sustainability models for OER), and Ms Lisbeth Levey (facilitating international cooperation). We are deeply grateful for their assistance and expert knowledge. Preparation of the text of the final guides was done with support from Neil Butcher and Alison Zimmermann of OER Africa.
The “Recycling Art” project engages children in transforming waste into creative toys, fostering sustainable living habits and environmental consciousness in line with SDG 13, through imaginative and fun activities.
AI is expected to bring about profound changes for the higher education sector, presenting numerous opportunities as well as serious and urgent challenges that must be addressed in the transition towards AI-driven systems. This chapter provides a Practical Guide targeted at higher education leaders, setting out actionable recommendations and steps that can be taken at an institutional level to adapt to AI in a responsible and ethical manner. The Practical Guide has been designed with HEIs in resource-constrained contexts in mind, but it is also intended to be flexible and responsive to a range of local/ global institutional and regulatory situations. It signals actions that affect internal capacity building, institutional governance, teaching, research, and community engagement. These actions also include specific recommendations on gender equality that can lead to transformation by addressing the root causes of gender inequalities.
UNESCO’s first global guidance on GenAI in education aims to support countries to implement immediate actions, plan long-term policies and develop human capacity to ensure a human-centred vision of these new technologies. The Guidance presents an assessment of potential risks GenAI could pose to core humanistic values that promote human agency, inclusion, equity, gender equality, and linguistic and cultural diversities, as well as plural opinions and expressions. It proposes key steps for governmental agencies to regulate the use of GenAI tools including mandating the protection of data privacy and considering an age limit for their use. It outlines requirements for GenAI providers to enable their ethical and effective use in education.
Safeguarding freedom of expression and access to information through a multistakeholder approach
This Quick Start Guide introduces ChatGPT, an Artificial Intelligence (AI) tool that has taken the world by storm, reaching 100 million users just two months after being launched. The Quick Start Guide provides an overview of how ChatGPT works and explains how it can be used in higher education. Artificial Intelligence (AI) is a rapidly developing field. This guide is based on GPT-3.5, the latest free version of ChatGPT available at the time of writing. As well as dynamic changes in technology, the ethical implications of ChatGPT and other forms of AI are also swiftly advancing. Readers are advised to constantly check reliable sources for the latest news and updates.
Artificial Intelligence (AI) technologies and related automated decision-making processes are becoming increasingly embedded in the tissue of digital societies. Their impact cuts across different political, social, economic, cultural, and environmental aspects of our lives. On the one hand, AI can be used to drive economic growth, enable smart and low-carbon cities, and optimize the management of scarce resources such as food, water and energy. On the other hand, AI can also be used in a manner that infringes on human rights and fundamental freedoms, such as freedom of expression and privacy, and risks exacerbating existing socioeconomic and gender inequalities. Furthermore, the implementation of AI systems may lead to values-driven dilemmas and complex problems, often requiring trade-offs that can only be addressed through broad societal consensus.
This guide focuses on the question of how the development of AI policies can be made inclusive. Multistakeholder approaches to policymaking are part of the answer because they create the space for learning, deliberation, and the development of informed solutions. They help decision makers consider diverse viewpoints and expertise, prevent capture by vested interests, and counteract polarization of policy discourse. A multistakeholder approach to AI policy development and the consultation of stakeholders from different backgrounds and expertise are necessary to be able to develop a relevant and applicable policy for the national context.
The objective of this guide is to support policymakers in ministries and parliaments in the design and implementation of inclusive AI policies, while empowering stakeholders including civil society, businesses, technical community, academia, media, and citizens, to participate in and influence these policy processes
The report includes a ‘baseline’ of the challenges, practices and new developments during the pandemic, examples of research and innovation in online assessment, and the supportive (or non-supportive) national policies and frameworks that define the context of assessment for the institutions. It also includes practical examples (‘Good practices’) from SIG members that can help, if not inspire developing better practice and new thinking in other member institutions.
The Irish Journal of Academic Practice (IJAP) is published online once annually at Technological University Dublin. IJAP is a peer-reviewed journal that welcomes scholarly and practice-based articles, case studies, opinion & reflective pieces and reviews relating to learning, teaching, assessment and technology within higher education.
This Facilitator Checklist has been compiled from our experience as facilitators delivering the PACT Open Course with the National Forum. From our reflection, we created this resource to aid fellow facilitators save time and outlined key pre-Course, during-Course, and post-Course activities essential to the smooth running of all Open Courses.
This resource is a digital toolkit to support students in health and social care professions who are learning clinical and professional competencies through technology (including telepractice and simulation). The toolkit includes interactive resources to support learning and enhance technology-enabled practice education.
The aim of this report is to explore how stronger relationships between higher education and business can address barriers to mainstream adoption and development of innovative and sustainable models and policies for Open Educational Practices (OEP). In this report, we explore how educational institutions and business interests can work together to better leverage the potential of Open Educational Resources (OER) in the service of OEPs. The report provides an overview of existing literature and research in the field of OER and presents a series of business models and approaches to supporting the development of OER, as well as their policies and practices. The issue of sustainability and longevity of OER materials, content and communities is discussed and three case studies are presented to illustrate different business models for supporting capability development, knowledge exchange and Communities of Practice. The report concludes with recommendations and provides some points to consider for organisations interested in developing business models, policies and practices to support the development of sustainable OER and in promoting OEP. The term OEP is used in this report as an umbrella concept reflecting the wider goals of creating more open educational and organisational cultures that support more diverse, equitable and inclusive approaches to teaching, learning and assessment (Cronin, 2017, p.1). Seminal and commonly accepted definitions of key concepts are provided as part of the report.
The Higher Education Language Educator Competences (HELECs) Framework has been developed by
an inter-institutional team of language teachers and applied linguists in Ireland. The project was
funded by the National Forum for the Enhancement of Teaching and Learning in Higher Education
and supported by the four partner institutions, University College Cork (lead), Dublin City University,
Maynooth University and Waterford Institute of Technology. The aims of the HELECs framework are:
• To work toward the goals of the national languages strategy, Languages Connect: Ireland’s
Strategy for Foreign Languages in Education (2017), with particular reference to increasing
capacity and enhancing the learning environment.
• To provide a tool for language educators and their managers with which they can self-assess
and articulate their competences.
• To work toward a professionalisation of the field of language teaching and learning in higher
education in Ireland.
In the following sections we outline our target audience for this framework, describe the
development process, and provide the details of the framework including the competence
identifiers, the competence domains and the competence descriptors.
