Only recently, researchers and practitioners alike have begun to fully understand the potential of eLearning and have concentrated on new tools and technologies for creating, capturing and distributing knowledge. Focusing on the area of informal learning, this paper describes this emerging domain and assesses current semantic and Web 2.0 tools used in this field. Contributing to the body of research, the limitations of both sets of technologies are documented highlighting areas of definite improvement. Finally, semantic web harvesting technology as a solution is explored in the form of the IKHarvester tool.
As you’ve probably noticed, quite a few posts on my blog are directly related to eLearning, the Semantic Web, and Web 2.0. Yet, “Social Semantic Information Sources for eLearning” is the topic of my Master’s Thesis. This is the main area for the research I do in the Digital Enterprise Research Institute (DERI).
I’ve already mentioned of two my (and others) articles related to that topic:
Adapting informal sources of knowledge to e-Learning.
The amount of information sources and the available data is growing dramatically fast nowadays. It is very difficult time for teachers to keep up with changes, especially in information domain, and to find new and appropriate sources of information; this problem also affects e-Learning. Contemporary e-Learning systems deliver predefined, rigid courses which usually do not take into account user specific conditions, like wishing to broaden his or her knowledge in wide range of domains at the same time. Without constant maintenance, electronic courses are also getting outdated. Moreover, all of the current solutions seem to underestimate the potential of informal learning [1].
According to researches, over eighty per cent of possessed knowledge is acquired from informal sources of information like wikis, blogs and digital libraries [1]. These Web 2.0 platforms allow community to collaborate, share knowledge and ideas; in addition, these services are continuously developed to serve the users better. Semantic description of available sources not only interconnects them but also allows machines to reason about their content. Consequently, artifacts can be easily accessed, browsed and harvested for further use.
Following the presented idea, we introduce Didaskon [2], a framework for automated composition of a learning path for a student. The selection and workflow scheduling of learning objects is based on their description, semantically annotated specification of user profiles, anticipated knowledge after course completion, and technical details of the clientâs platform. User profile is described with FOAFRealm Ontology [3]; it is based on FOAF metadata that provides functionality to manage identities and share resources with friends.
Having in mind statistics about acquiring knowledge, Didaskon derives both from formal and informal sources of information. It collects relevant data from wikis or blogs and process them so that they can be used in a form of learning objects; it enriches and improves the process of learning.
In general, I sit quite long in front of a computer - work, studies, some odd jobs…
Besides, I’m also the administrator (also creator) of znimky.net. This an Unkrainian project where photographies and movies taken on ukrainian events in Poland and other countries. Therefore, I must do something about it from time to time. Since lacking of time, there are long periods when I only upload photographies and do minor works. However, from time to time I just can’t help doing some more.
Recently (about 2 weeks), after work I was returning to improving this site. I did quite a good job, I must admint Put a lot of JavaScript and Ajax. There is more interaciton now. Moreover, it looks better, to me. But, still, I see much to do… The most important is graphics…. But, when?
Not now, for sure.. Now, comin’ back to the Master’s Thesis…
C U round
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Author
I'm a software engineer at Kainos Software Ltd.
Most of all, I like travelling and photograhy.
For more details about me, read my profile.