Interoperable learning worlds enable learning across different (learning) systems and also consider issues of learning motivation and learning success from both the learner's and the teacher's perspective.
Technically, this is achieved by implementing established (e-learning) standards. Examples such as Learning Tools Interoperability (LTI) and Experience-API (xAPI) enable the reuse and coupling of existing learning content and systems.
In doing so, the learning systems that implement these standards can provide any functionality and exploit the e-learning standards in different ways. For example, search engines can be authorized against the content to be searched using LTI, or user interactions for AI-based systems can be recorded and evaluated via different tools using xAPI.
At LearnTec, Fraunhofer IOSB will showcase its interoperable and diverse applications, which are also used in BMBF-funded projects such as TripleAdapt.
- Adaptive learning recommendations: Adaptive tasks can be set via Learning Analytics and our AI component ELAI, for example. Using the learning game Spot-X as an example, this demonstrates how the task difficulty is adapted to the learner's performance.
- Finding learning content, e.g. for curation purposes: The semantic finding engine Findoo allows e.g. authors to search and find content across all connected learning systems in order to prepare it as a new course if necessary. Quasi a search engine for learning content.
- Serious games and gamification to support the blended learning concept. With core, a serious game framework is shown that enables the creation of a serious game for the customer's knowledge domain without having to develop a completely new game. The gamification engine contained in core can function as a service in its own right, enriching non-game systems such as learning systems or assistance systems with elements of gamification.
Your local contact persons: Daniel Atorf, Joanna Müller