Digital learning systems became more popular in recent times in order to enrich education for students, educators, content creators and HR. There are several different types of technologies and platforms that offer diverse approaches in developing learning materials, facilitate learning processes and enhance human resource teams. Adaptability and personalization become more and more crucial and can be integrated through learning recommendations, Chatbots, gamification elements, social- /peer-learning and virtual/ augmented reality. However, these components can only reach their full potential when offered seamlessly and without any barriers.
Nevertheless, it is a challenge for education providers to create such compelling learning environments, due to the fact that most services are developed as isolated technical solutions without appropriate interfaces or data formats. Due to the market fragmentation and diversity of technologies, it is nearly impossible to combine different learning repositories and advanced technologies (such as learning analytics, learning recommender or virtual learning systems) into one centralized learning experience.
This diversity is why open specifications are necessary for enabling interoperable infrastructures:
- Easier access to learning materials and educational services via standardized content launch approaches: such as LTI and cmi5
- Persistance of well-structured metadata: such as the well-known but outdated SCORM, and newer specifications such as Common Cartridge, LOM and QTI
- Well-structured definitions of learning records: such as xAPI and CALIPER.
Within the context of educational learning environments, FOKUS also offers workshops and training sessions for open specifications, interoperability and microservice infrastructures. Moreover, FOKUS researchers analyzed over 50 popular learning management systems (LMS), most of which, are monolithic and hardly expandable by state-of-the-art services. These systems support, if at all, only a few of the significant open specifications. This is where CLM comes into play.