SML

SmL: Sharing my Learning (Platform-Network-Toolkit)

The COVID pandemic has triggered drastic changes in the delivery of education and knowledge transfer at global scale. Two dramatic changes have been observed so far. Firstly, the education sector was transformed with the deployment of e-learning and blended learning approaches. Secondly, businesses shifted their work practices using remote work practices. Both phenomena have been widely observed and research in the literature for decades, while there are numerous case studies discussing how universities and organisations use technology to overcome barriers associated with the lack of face-to-face interaction. Therefore, once the pandemic arrived, there were several perspectives arguing that both Universities and Organisations should demonstrate a relatively high level of readiness for a seamless transition towards full deployment of e-learning and e-work. After more than six months of the new ways of studying and working, it is observed that there are significant problems with regards to the effectiveness of the adopted practices. The primary source of these problems is that the study and work cannot be supported by a blended mode, where some (even minimal) face to face contact is possible. In blended learning and working modes, the face-to-face contact serves as a support mechanism for (i) enhanced communication, (ii) effective collaboration and (iii) efficient coordination. social integration.

The project will be delivered as a Platform-Network-Toolkit (PNT) combination. With regards to Platform, the University of Siegen will adapt its current outputs to provide a supporting medium for the provision of the training. Middlesex University will assist the match-making process with its MUSKET tools that use the XCRI-CAP information model to align course data, as used in the PAWER CBHE project. Middlesex University will also contribute in terms of the creation of the Toolkit using the SCATE e-learning platform as developed for the FORC CBHE project. Each learning unit will be in the form (i) content, (ii) presentation and (iii) video, following a consistent format. The learning units will be in the form of microlearning outputs. Neapolis University will support the creation of the learning content in collaboration with Oracle TES. Finally, a network of learning will be established involving all individuals producing or requesting learning units. Harokopio University will provide the necessary data analytics for the use of this network, supported by Middlesex University for the creation of the necessary learning analytics visualisation dashboards.