CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content
D. Tarasowa, A. Khalili, S. Auer, und J. Unbehauen. 5th International Conference on Computer Supported Education (CSEDU 2013 ), Seite 33-42. (2013)13% acceptance rate, nominated for the best-paper award..
Zusammenfassung
While there is meanwhile a plethora of Learning Content Management Systems, the collaborative, community- based creation of rich e-learning content is still not sufficiently well supported. There have been some efforts to apply the Ward Cunningham's wiki paradigm to the creation of e-learning content. However, the paradigm was mainly only applied to unstructured, textual content and can not be used in SCORM-compliant systems. To address the issue we develop the CrowdLearn concept to exploit the wisdom, creativity and productivity of the crowd for the creation of rich, deep-semantically structured e-learning content. The CrowdLearn con- cept combines the wiki style for collaborative content authoring with SCORM requirements for re-usability. Therefore, it enables splitting the learning material into Learning Objects (LOs) with an adjustable level of granularity. In order to realize the CrowdLearn concept, a novel data model called WikiApp is devised. The WikiApp data model is a refinement of the traditional entity-relationship data model with further emphasis on collaborative social activities and structured content authoring. We implement and evaluate the CrowdLearn approach with SlideWiki---an educational platform dealing with presentations and questionnaires. The article also comprises results of a usability evaluation with real students.
%0 Conference Paper
%1 tarasowa-2013-csedu
%A Tarasowa, Darya
%A Khalili, Ali
%A Auer, Sören
%A Unbehauen, Jörg
%B 5th International Conference on Computer Supported Education (CSEDU 2013 )
%D 2013
%K 2013 auer event_csedu group_aksw khalili lod2page peer-reviewed slidewiki tarasowa unbehauen
%P 33-42
%T CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content
%U http://svn.aksw.org/papers/2013/CSEDU2013_SlideWiki/public.pdf
%X While there is meanwhile a plethora of Learning Content Management Systems, the collaborative, community- based creation of rich e-learning content is still not sufficiently well supported. There have been some efforts to apply the Ward Cunningham's wiki paradigm to the creation of e-learning content. However, the paradigm was mainly only applied to unstructured, textual content and can not be used in SCORM-compliant systems. To address the issue we develop the CrowdLearn concept to exploit the wisdom, creativity and productivity of the crowd for the creation of rich, deep-semantically structured e-learning content. The CrowdLearn con- cept combines the wiki style for collaborative content authoring with SCORM requirements for re-usability. Therefore, it enables splitting the learning material into Learning Objects (LOs) with an adjustable level of granularity. In order to realize the CrowdLearn concept, a novel data model called WikiApp is devised. The WikiApp data model is a refinement of the traditional entity-relationship data model with further emphasis on collaborative social activities and structured content authoring. We implement and evaluate the CrowdLearn approach with SlideWiki---an educational platform dealing with presentations and questionnaires. The article also comprises results of a usability evaluation with real students.
@inproceedings{tarasowa-2013-csedu,
abstract = {While there is meanwhile a plethora of Learning Content Management Systems, the collaborative, community- based creation of rich e-learning content is still not sufficiently well supported. There have been some efforts to apply the Ward Cunningham's wiki paradigm to the creation of e-learning content. However, the paradigm was mainly only applied to unstructured, textual content and can not be used in SCORM-compliant systems. To address the issue we develop the CrowdLearn concept to exploit the wisdom, creativity and productivity of the crowd for the creation of rich, deep-semantically structured e-learning content. The CrowdLearn con- cept combines the wiki style for collaborative content authoring with SCORM requirements for re-usability. Therefore, it enables splitting the learning material into Learning Objects (LOs) with an adjustable level of granularity. In order to realize the CrowdLearn concept, a novel data model called WikiApp is devised. The WikiApp data model is a refinement of the traditional entity-relationship data model with further emphasis on collaborative social activities and structured content authoring. We implement and evaluate the CrowdLearn approach with SlideWiki---an educational platform dealing with presentations and questionnaires. The article also comprises results of a usability evaluation with real students.},
added-at = {2025-03-27T13:35:54.000+0100},
author = {Tarasowa, Darya and Khalili, Ali and Auer, S{\"o}ren and Unbehauen, J{\"o}rg},
bdsk-url-1 = {http://svn.aksw.org/papers/2013/CSEDU2013_SlideWiki/public.pdf},
biburl = {https://www.bibsonomy.org/bibtex/2d6735d1e8ca41e72ba1cd2be64aca72e/aksw},
booktitle = {5th International Conference on Computer Supported Education (CSEDU 2013 )},
interhash = {f668a62752c9745d2fd539f9531831b8},
intrahash = {d6735d1e8ca41e72ba1cd2be64aca72e},
keywords = {2013 auer event_csedu group_aksw khalili lod2page peer-reviewed slidewiki tarasowa unbehauen},
note = {13% acceptance rate, nominated for the best-paper award.},
owner = {tarasowa},
pages = {33-42},
timestamp = {2025-03-27T13:35:54.000+0100},
title = {CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content},
url = {http://svn.aksw.org/papers/2013/CSEDU2013_SlideWiki/public.pdf},
year = 2013
}