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Generative AI, Synthetic Contents, Open Educational Resources (OER), and Open Educational Practices (OEP): A New Front in the Openness Landscape
40
Zitationen
1
Autoren
2023
Jahr
Abstract
This paper critically examines the transformation of the educational landscape through the integration of generative AI with Open Educational Resources (OER) and Open Educational Practices (OEP). The emergence of AI in content creation has ignited debate regarding its potential to comprehend and generate human language, creating content that is often indistinguishable from that produced by humans. This shift from organic (human-created) to synthetic (AI-created) content presents a new frontier in the educational sphere, particularly in the context of OER and OEP. The paper explores the generative AI’s capabilities in OER and OEP, such as automatic content generation, resource curation, updating existing resources, co-creation and facilitating collaborative learning. Nevertheless, it underscores the importance of addressing challenges like the quality and reliability of AI-generated content, data privacy, and equitable access to AI technologies. The critical discussion extends to a contentious issue, ownership in OER/OEP. While AI-generated works lack human authorship and copyright protection, the question of legal liability and recognition of authorship remains a significant concern. In response, the concept of prompt engineering and co-creation with AI is presented as a potential solution, viewing AI not as authors, but powerful tools augmenting authors’ abilities. By examining generative AI’s integration with OER and OEP, this paper encourages further research and discussion to harness AI’s power while addressing potential concerns, thereby contributing to the dialogue on responsible and effective use of generative AI in education.
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