Posted on: Mon, 07/23/2018 - 17:21 By: valentina.janev
Summary

One of the specific objectives of LAMBDA (Learning, Applying, Multiplying Big Data Analytics) project is “Boosting scientific excellence of the linked institutions and capacity building of the widening country and the region in Big Data Analytics and semantics”. To that aim, one of the actions undertaken in the beginning of the project was establishing an infrastructure that will enhance the possibilities for organizational learning and sustainable capacity building [WP3, Task 1], including direct exchange of information and experience between researchers and the users of their research results.

 

The ‘Train-the-Trainers’ approach will be applied in LAMBDA to educate and significantly strengthen the research and education capabilities of PUPIN staff. The colleagues from EU institutions will be involved in the organisation of the Big Data Analytics Summer School and deliver lecturestor the PUPIN staff and other researchers from the Region.

 

This deliverable describes the adoptions made on the LAMBDA platform (see https://project-lambda.org/) in order to facilitate teachers-trainees cooperation. Based on Drupal content management system (CMS), a collaborative environment was created that can be used for storing scientific data and documents, training materials and lectures. Access to the ‘Trainers’ Network’ document store is granted to members of the consortium, Advisory Board Members and Stakeholders from West Balkan, as well as participants of the Big Data Analytics School. The school will be organized by the LAMBDA consortium in June 2019 and June 2020.

 

Learning materials developed by LAMBDA teachers and professionals will be distributed via the SlideWiki.org, an OpenCourseWare platform. The SlideWiki platform has been selected based on its collaborative features partially developed by LAMBDA researchers in SlideWiki framework. This deliverable proposes features that will simplify the work with SlideWiki, support the ‘Train-the-trainers’ sessions at the Big Data Analytics School, and the interaction of students with learning materials stored either in the LAMBDA knowledge store or on the SlideWiki server. 

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