The knowledge is defined as combination and organization of data and information in given context and Knowledge Management (KM) provides capturing, storing and reusing of knowledge objects. In Web 2.0 world the knowledge is represented in form of microcontent object and KM 2.0 proposes creation, sharing and leveraging the microknowledge in a collaborative way. The microknowledge in Web 2.0 network can be controlled through designing the instructional strategies that will provide user learning paths and activities and that will give possibilities for sharing of those same learning activities and microknowledge with others. The present paper is aimed to reflect of the research needs and the new challenges in the mentioned above three areas: KM, Web 2.0 technologies and Learning Design (LD). It is focused on designing of personalized learning using IMS LD elements. The paper analyzes the possibilities of applying Web 2.0 technologies for defining a broaden set of activities and creating the rich environments with microknowledge objects and web services in one successful scenario.
In recent years, both practitioners and scholars alike have emphasized the importance of organizational knowledge and learning as a source of competitive advantage. In this connexion, the integration of information technologies to foster these organizational sources has gained considerable attention. However, especially due to the innate characteristics of tacit knowledge, its handling is deemed to be extraordinarily difficult. This results primarily from the fact that tacit knowledge can only be disseminated via intricate interpersonal processes. Socialization is viewed as an appropriate approach but to date this is regarded as incommensurate with most existing information technologies. In this paper we argue that corporate weblogs – i.e. personalized and informal Internet publications referring to corporate concerns – constitute a viable option to deal with this dilemma while incorporating the possibility to codify as well as personalize tacit knowledge. By illuminating how to transcend the traditional impasse, we intend to contribute to knowledge management research and practitioners alike.
A number of recent studies have contributed to Knowledge Management (KM) and E-learning integration. They are mainly based on organizational learning analysis. In this paper, KM is discussed from the viewpoint of adaptation in e-learning systems. The main components of adaptive e-learning system are discussed with respect to the KM processes. We analyze users and developers of adaptive e-learning systems and the knowledge, with which they operate. We present our view of knowledge and meta-knowledge concepts in the context of adaptive elearning systems. The role of meta-knowledge as a contextual knowledge is emphasized for adaptation in e-learning. The paper discusses the challenges of KM in adaptive e-learning systems and analyses the main KM processes that should be introduced in adaptive e-learning systems.
The recent evolution of e-commerce and the astonishing growth of the Internet have increased the amount of information that scrupulous customers want to process before selecting items that meet their needs. Personalization has become an important strategy in Business to Consumer e-commerce, where knowledge about customers can be exploited in order to improve access to relevant products. This paper presents a machine learning-based approach to turn raw data about customers into knowledge about their interests. This knowledge is stored in personal profiles and is used to provide an intelligent search support.
In this paper, an integrated information system is presented that offers enhanced search and retrieval capabilities to users of heterogeneous digital audiovisual (a/v) archives. This innovative system exploits the advances in handlings a/v content and related metadata, as introduced by MPEG-4 and worked out by MPEG-7, to offer advanced services characterized by the tri-fold ”semantic phrasing of the request (query)”, ”unified handling” and ”personalized response”. The proposed system is targeting the intelligent extraction of semantic information from a/v and text related data taking into account the nature of the queries that users my issue, and the context determined by user profiles. It also provides a personalization process of the response in order to provide end-users with desired information. From a technical point of view, the FAETHON system plays the role of an intermediate access server residing between the end users and multiple heterogeneous audiovisual archives organized according to the new MPEG standards.
In all areas of the e-era, personalization plays an important role. Particularly in elearning a main issue is student modelling, that is analysis of student behaviour and prediction of his/her future behaviour and learning performance. In this paper, we have focused our attention on a system based on Machine Learning techniques, which discovers the preferences, needs and interests of users accessing the e-learning system (the Profile Extractor). The automatic generation and discovery of the user profile, to obtain a simple student model, based on learning performance and communication preferences, helps create a personalized education environment.
This paper presents research results obtained from the project Personal Adaptable Digital Library Environment (PADDLE). The main focus of the DFG funded research project E; is to apply concepts of knowledge management to digital libraries by introducing personalization techniques. The idea is to enable the specific needs, experiences, skills and tasks of a knowledge worker using a digital library could be taken into account. Metadata is the key issue for doing this. Therefore the PADDLE system architecture describes a metadata . manager, which allows the association of metadata with the knowledge objects stored in distributed information resources. Based on this architecture several personalization concepts like workspaces and profiles are introduced. Finally, a geographic information portal is described that realizes a new way of seeking and accessing geodata related knowledge objects within a digital library.
The efficient management of knowledge has become imperative for almost all types of organizations. Many approaches exist for dealing with knowledge management at a corporate level. But there is also a need to support knowledge management also at an individual level, a level which takes the specific needs, experiences and skills of knowledge workers into account. While largely unexplored within the field of knowledge management, in the field of digital libraries advanced personalization and customization concepts exist. Within this context, this paper examines these concepts and how they can be exploited to address the challenges which are typical for knowledge management. As the paper will show, many synergies exist, if knowledge management at an individual level is dealt with in combination with personal digital libraries.