Self-Organization of e-Learning Systems as the Future Paradigm for Corporate Learning

摘要

The current development of information processing can be viewed from different perspectives: the interface to the end user is characterized by devices that are mobile, and that become technically and ergonomically more efficient, From the perspective of communication, complex content'can be distributed with fewer'obstacles to bigger target groups. Thus, more content is also available for free (examples are news, footage and product reviews). These contents are potential candidates for learning processes supported by documents. On the other hand, the development of working environments is coupled with growing demands on the knowledge arid engagement of each employee. Most people also see an opportunity to improve their own job satisfaction when qualifying. Both developments will contribute to the new situation, that learning processes are no longer isolated, but are integrated into the daily work. Learning support systems will.have to meet these requirements of "on the job training". One can compare this process with two areas: in information search processes, relations between information are used to improve the search results. In electronic commerce, recommendation systems and user behaviour are used to create and advertise additional offerings. In both areas, user-specific information is generated by automated processes of the information provider. Without these processes, the respective large amounts of information could not be overcome. Future e-learning systems will individually take into account the connection of work processes, associated documents and content, as well as the background of the affected user. These systems will be self-organizing, as they analyse large amounts of information, e.g. the working and learning behaviour of users, and convert them into individual recommendations of documents for learning and process support. The paper outlines approaches to self-organization of e-learning in the context of user models, competencies, and work processes.