We are excited to be launching our collaborative approach to enhancing the European OER ecosystem with a series of events this Autumn! The events are great opportunities to network with relevant stakeholder groups and lead the discourse around the future of education and training in Europe. Read more here: https://encoreproject.eu/2021/09/02/launching-the-encore-oer-ecosystem/
Based on recommendations by the European Commission and UNESCO, we are developing the new European OER ecosystem. Help us shape the network by participating in this short survey.
This study contributes to the European Network for Catalysing Open Resources in Education (ENCORE+), a pan-European Knowledge Alliance funded under the Erasmus+ programme. The project is an initiative of the International Council for Distance Education (ICDE) as well as several higher education instutions and businesses across Europe and will run from 2021 to 2023 to support the modernisation of education in the European area through OER.
The project has developed a commoditized set of tools and systems that enable the ingestion of OER material into the X5GON registry including semantic cross-lingual indexing of materials, automatic transcription and translation of recordings, assessment of how engaging the material is, and potentially how it might sequence with other OERs.
Further, methods for automatically estimating the knowledge of users based on their track record of viewing different OERs enables the system to recommend content that is likely to engage and prove useful for learners and teachers.
For example, a moodle plug-in can provide such recommendations at the level of a particular course, while the X5learn system can make recommendations to individual learners based on their earlier viewing experience.
The project has actively engaged with OER sites and developed systems to assist with the incorporation of OERs into the X5GON registry significantly growing the number of sites and materials that are indexed by the X5gon tools.
Work partially funded by K4A has won the inaugural 2021 Wikimedia Foundation Research Award of the Year with the paper “Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages” and the Masakhane Community
This paper and the Masakhane community have attempted to fundamentally change how we approach the challenge of “low-resourced languages” in Africa via a set of projects funded by K4A, with the support of UNESCO, IDRC, and GIZ. The research describes a novel approach for participatory research around machine translation for African languages. The authors show how this approach can overcome the challenges these languages face to join the Web and some of the technologies other languages benefit from today.
The work of the authors and the community is an inspiring example of work towards Knowledge Equity, one of the two main pillars of the 2030 Wikimedia Movement Strategy. “As a social movement, we will focus our efforts on the knowledge and communities that have been left out by structures of power and privilege. We will welcome people from every background to build strong and diverse communities. We will break down the social, political, and technical barriers preventing people from accessing and contributing to free knowledge.”
We cannot think of a better or more inspiring example of a project we have been involved in the last couple of years.