It was almost a year ago when I graduated from Gdansk University of Technology, major Distributed Applications and Internet Systems. The title of my Master’s Thesis was “Social Semantic Information Sources for eLearning”. All in all, I forgot to present the thesis… So, here it goes
Tag Archive for 'eLearning'
In less than two weeks I’m living DERI. I’m going back home in Poland. The plan is to defend my Master’s Thesis.
First, Filip introduced ourselves and showed the context of our work:
Today we submitted yet another article; this time for The 6th International Semantic Web Conference (ISWC ’07) that will take place in Busan, Korea, from November 11 to 15 (Thursday), 2007. I was the main author of the paper; i wrote it together with Sebastian R. Kruk, Tadhg Nagle, Edward Curry, and Adam Gzella. Its title is “IKHarvester – Informal eLearning with Semantic Web Harvesting”.
There is the abstract of the article:
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.
There’s the direct link to the article.
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”
- “E-Learning on the Social Semantic Information Sources”; there is also the whole article available
If you want to get a general idea of what that all is about, you can view my slideshow – “E-Learning on the Social Semantic Information Sources” on slideshare, or below. I have presented it on one of SemInf group, from eLearning cluster, (I belong to both) weekly meeting.
If there’s no presentation embeded, you can view it on slideshare
A month ago, together with Jacek Jankowski and Filip Czaja, we wrote an abstract for 5th Annual Conference on Teaching & Learning: Learning Technologies. Recently, we have been asked to present the abstract on the conference, in the beginning of June.
Below, there is the abstract:
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 .
According to researches, over eighty per cent of possessed knowledge is acquired from informal sources of information like wikis, blogs and digital libraries . 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 , 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 client’s platform. User profile is described with FOAFRealm Ontology ; 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.
Some time ago, myself together with Sebastian R. Kruk, Adam Gzella, Bill McDaniel, and Tomasz Woroniecki wrote an article for EC-TEL 2007 – Second European Conference on Technology Enhanced Learning that will take place in Semptember in Creete, Greece.
The title of the article is “E-Learning on the Social Semantic Information Sources”. In general, it relates to eLearning, Semantic Web, and Web 2.0. We propose a way of utilizing social tools for eLearning purposes.
Here you have the abstract:
“E-Learning on the Social Semantic Information Sources”
E-Learning grows on the fertile soil of the Internet technologies; it fails, however, to reach their full potential. With new, emerging technologies of the second generation Internet there is even more to be captured and adopted: knowledge sharing with blogs, wikis, and social bookmarking services. In this article we argue that those technologies can be adapted to improve user experience in e-Learning; we present an online social bookmarking system called social semantic collaborative filtering. SSCF supports SIOC metadata which ultimately transforms it in to a browser of blogs, fora, and other community sites. We show how a digital library system, such as JeromeDL, utilizing this technology can be used in the e-Learning process, which takes advantage of recent research in the Internet.
There is the direct link to the article.
We succeeded and the paper was submission for the conference was accepted. Now, who’s going to Greece? ;>
Anyway, another paper is on the way…
Notitio.us is service for collaborative knowledge aggregation and sharing. It employs IKHarvester for retrieving RDF information about Web resources bookmarked by the users. Therefore, it is capable of indexing rich metadata, coming from various types of resources.
In contrary to bookmarking services, such as del.icio.us, notitio.us keeps rich, semantically interconnected metadata shared by the users using Social Semantic Collaborative Filtering. The resources not only can be shared with a bookmarking interface (SSCF), but also, based on the rich metadata, they can be searched and browsed using
TagsTreeMaps, a tags browser based on treemaps rendering algorithm, and MultiBeeBrowse, a collaborative browsing components. These components improve user browsing experience, utilizing metadata delivered by IKHarvester.
One of modules delivered by IKHarvester allows to expose aggregated metadata in LOM standard, which turns notitio.us
into a valuable source of learning objects based on informal knowledge, delivered by IKHarvester.
Remember my previous post about IKHarvester. There, I’ve briefly described how I collect metadata for blog posts which support SIOC. Then, I thought it’s a good idea to describe in one place what really IKHarvester is and how it works.
IKHarvester (Informal Knowledge Harvester) is a web service that characterizes with two core features: harvesting data, and providing it for eLearning frameworks. It benefits from the Semantic Web core postulate that demands rich descriptions of resource available online. Thus, the content of web pages is understandable not only with machines but also by machines.
Some time ago I wrote about Didaskon, a framework for composing curriculum for a specific user, basing on his profile and using formal and informal knowledge. I belong to team of the developers.
At the moment, I am developing the one of its component – IKHarvester (Informal Knowledge Harvester). It aims at collecting (harvesting) data from Social Semantic Information Sources (SSIS) and providing it to Didaskon as informal Learning Objects (LOs). By SSIS, I mean community sites (blogs, wikis, social semantic digital libraries, bookmark sharing, video sharing etc.) with semantic annotations added. The prototype will use only wikis based on MediaWiki engine, blogs that support SIOC, and JeromeDL. For the general idea look at earlier presented poster.
In this post, I will focus only on blog posts.