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- Convenors:
-
Sharon Tshipa
(BSHD)
Patrick Paul Walsh (UCD)
Margherita Poles (FISPMED)
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- Format:
- Paper panel
- Stream:
- Digital futures: AI, data & platform governance
- Location:
- L1.14
- Sessions:
- Wednesday 8 July, -
Time zone: Europe/Dublin
Short Abstract
The panel will examine how the convergence of artificial intelligence (AI) and Open Educational Resources (OER) is transforming the landscape of equitable education by exploring both the opportunities for inclusive learning and the emerging risks of technological and educational inequality.
Description
To enhance global access to quality education, the UNESCO (2019) Recommendation on Open Educational Resources (OER) calls on stakeholders to promote the creation, adaptation, and sharing of open-licensed learning materials. Yet, for educators and students in under-resourced contexts, developing content and accessing OER repositories remain challenging due to infrastructural limitations, inadequate digital literacy, and insufficient institutional support. To close these gaps, the 2024 Dubai Declaration on OER advocates adopting artificial intelligence (AI) to expand inclusive access to knowledge. Generative AI tools now enable new ways to create, reuse, and distribute educational content; however, their integration also introduces ethical, technological, and educational inequalities. Hence, this panel examines how the intersection of AI and OER is reshaping the pursuit of equitable and inclusive education envisioned in Sustainable Development Goal 4. It interrogates emerging disparities in digital access, AI literacy, and the localisation of open content, while questioning whose knowledge and values are embedded in algorithmic systems driving OER creation and curation. Drawing insights from both the Global South and North, the discussion highlights tensions between technological innovation and social justice. It explores pathways for ethical, inclusive, and context-sensitive integration of AI in open education, thus further informing ongoing governance and policy efforts. Ultimately, the panel seeks to reimagine learning futures that are not only intelligent but also inclusive, equitable, and sustainable. Papers addressing this theme through diverse methodological lenses are invited to this panel convened by members of the UNESCO SDSN Joint Committee on the Implementation of the UNESCO OER Recommendation (2019).
Accepted paper
Session 1 Wednesday 8 July, 2026, -Paper short abstract
Multiple (successful and unsuccessful) experiments with AI and OER in India and the UK highlight constraints from students' study practises and access to technology, university policy and resources. We provide reflections and suggestions that might further the OER-AI agenda.
Paper long abstract
The Dubai Declaration emphasises context-sensitive integration of AI in open education. This is an important aim, but faces practical constraints. We reflect on our experiments developing and using open educational resources (OERs) and multiple experiments developing large language model (LLM) based systems using OERs in our economics and marketing courses in India and the UK.
We have been motivated to enable free access for students to quality, critical materials, including for students in rich economies, but very low-income households. Some of those projects (e.g., CORE Econ) have been very successful, others (the marketing project) not so.
We draw on our experiences with multiple projects for reflection and suggestions across three dimensions: 1) students' learning risks (ChatGPT habituation, unsocial learning, uneven access to relevant technology); 2) university resource constraints (content development costs, AI tool evaluation skills and costs); and 3) university policy constraints (IT policies that restrict educators' use of tools, reward systems that de-incentivise development of OERs and open AI/ML tools).
Our experiments forced us to interrogate our educational and technological choices and their underlying assumptions.
They highlight the inadequacy of "one-size-fits-all" AI systems and the necessity of community-engaged development processes. But, they also highlight that without some broader support and coordination, of the type the 2019 and 2024 declarations imagine, such as through the development of open, adaptable platforms, the resource requirements of doing this make it practically impossible.
We take our experience to make a series of suggestions for practically advancing OER-AI integration that furthers the OER agenda.