Historically, the development of open learning resources has been based on creating a library of static open learning resources (SOLR) that can be discovered, adapted and applied in a learning environment. This approach has suffered from numerous well-documented weaknesses: out-of-date content, obsolete technology, discoverability, context-sensitivity, localization and accessibility, up-front cost and storage overhead, and a general failure to adapt and reuse the learning materials. With the recent development of broadly effective generative artificial intelligence (GAI) this has led some to suggest that open learning resources can and should be developed at the time and point of need. The GAI could address each of the issues with SOLR by addressing it based on the learning need at the time of that need, as described by the specific prompt and the context of application. This presentation will provide an overview of the technology required to support such an approach.
Attendees of this session will be able to:- Identify weaknesses in static open learning resources (SOLR)
- Create dynamic open learning resources using GAI
- Identify and address issues related to the use of GAI in open learning
