SlideWiki.eu: Large-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics.

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The SlideWiki EU project started 2016 with seventeen partners from Europe and Brazil using the award-winning open-source SlideWiki platform from germany as a basis. All project goals aiming at creating a large scale accessible learning and teaching platform using educational technology, skill recognition and global collaboration.

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A major obstacle to increasing the efficiency, effectiveness and quality of education in Europe is the lack of widely available, accessible, multilingual, timely, engaging and high-quality educational material (i.e. OpenCourseWare). The creation and maintenance of comprehensive OpenCourseWare (OCW) is tedious, time-consuming and expensive, with the effect that often courseware employed by teachers, instructors and professors is incomplete, outdated, dull and inaccessible to those with disabilities.

SlideWiki is one of the major EU approaches to tackle these problems and to provide a free and libre OCW platform with free and libre OCW content. On the basis of the award winning (OpenCourseWare Consortium’s Excellence Award in 2014) software project SlideWiki, that is already used by hundreds of educators and thousands of learners, as well as with the help of 17 international partners from all over europe, we will extend SlideWiki’s approach to learning content creation and sharing to a next level. Thus, SlideWiki is planned to become a free to use, modern and global software that helps learners to find accessible learning content, share their insights and contribute improvements, as well as to help educators to create great learning content, reuse superior content of others and to reach out to a large amount of learners. In the end, we want to become the default hub for learning content, similar to what Wikipedia has achieved with encyclopedias today.

To achieve this high goal, we constructed 12 work packages that focus for the one half on the implementation side and for the other half on the trail/pilot side, so our product is developed for what learners and educators except and envision. As SlideWiki is not tailored to higher education only, our pilot work packages focus on secondary and higher education, professional and vocational training, as well as open community education. In case you are interested in participating as part of one of our pilots or to become a pilot itself, don’t hesitate to contact us. We want to achieve something outstanding - and the key to success is teamwork.

News

SANSA 0.2 (Semantic Analytics Stack) Released ( 2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann)

2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann

The AKSW and Smart Data Analytics groups are happy to announce SANSA 0.2 – the second release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.2 (Semantic Analytics Stack) Released"

AKSW at ESWC 2017 ( 2017-06-12T10:53:35+02:00 Christopher Schulz)

2017-06-12T10:53:35+02:00 Christopher Schulz

Hello Community! The ESWC 2017 just ended and we give a short report of the course at the conference, especially regarding the AKSW-Group. Our members Dr. Muhammad Saleem, Dr. Mohamed Ahmed Sherif, Claus Stadler, Michael Röder, Prof. Dr. Read more about "AKSW at ESWC 2017"

Four papers accepted at WI 2017 ( 2017-06-10T15:01:31+02:00 Christopher Schulz)

2017-06-10T15:01:31+02:00 Christopher Schulz

Hello Community! We proudly announce that The International Conference on Web Intelligence (WI) accepted four papers by our group. The WI takes place in Leipzig between the 23th – 26th of August. Read more about "Four papers accepted at WI 2017"

AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data. ( 2017-05-26T13:51:11+02:00 by Diego Moussallem)

2017-05-26T13:51:11+02:00 by Diego Moussallem

At the AKSW Colloquium, on Monday 29th of May 2017, 3 PM, Diego Moussallem will present two papers related to his topic. First paper titled “Using BabelNet to Improve OOV Coverage in SMT” of Du et al. Read more about "AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data."

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"