Integrating AI to Produce OER using OER Conversion Tool convOERter

With the rapid advancement of generative AI technologies nowadays, it is beneficial to use these technologies effectively to create Open Educational Resources (OER). This talk introduces the essentialness of using generative AI technology in the OER context, particularly by applying a Text-to-Image model in the OER conversion tool “convOERter.”

“convOERter” is a web-based tool that has been developed to convert existing educational materials containing images into ones with a Creative Common (CC) license. The development of the conversion tool greatly eases the process of creating OER content, as it automatically captures the images in the original materials and allows educators to search for a replacement image that is CC-licensed in OER portals. However, despite the substantial collection of high-quality images provided by these portals, finding a replacement image that precisely aligns with the educator’s requirements remains challenging due to the static nature of any database.

Generative AI refers to the use of Artificial Intelligence (AI) to create new content, like text, images, music, audio, and videos based on human input. In the field of image generation, various models are now available which offer a valuable opportunity for generating high-quality OER content. When educators cannot find suitable replacement images in Creative Commons portals, employing a Text-to-Image AI model becomes essential for generating appropriate images. In this talk, we will introduce the OER conversion tool and present the first steps towards integrating AI models within the tool.