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Figure 5: Video metadata from YouTube Antonios Andreatos Figure 6: Yale maintains educational channels in YouTube and iTunes From the above figures it comes out that there is high incompatibility of metadata, making their automatic process difficult. This means that in most cases the selection of LOs from various sources will have to be done by a human: somebody will have to exhaustively examine the LOs and manually assign the missing metadata according to a formal scheme, to make them machine-usable. Of course, other options exist, such as examining part of the LOs exhaustively, while choose some others (for instance, those coming from trusted sources) only by checking their metadata. Another solution is to rate sources or authors by quality and then easily accept LOs from these sources or authors. One form of metadata added by users is social tags or folksonomies. Various schemes for automatic metadata generation using combinations of author indexing, expert indexing, peer review, automatic metadata generation and/or collaborative social tagging have been proposed (Andreatos & Katsoulis, 2011). As far as quality is concerned, many repositories use a peer process to assess their LOs. New Media channels on the other hand use statistics, “likes” and “dislikes” and users' comments, which provide some quality indication. Recently some experimental tools facilitating the search of OER have been proposed (Andreatos & Katsoulis, 2011). However, the author believes that the research in this area is still in its infancy. 30

4. Propositions Antonios Andreatos It has been ascertained that: CoPs promote informal learning and work as a mechanism of professional continuing education. Organisations are interested in promoting employees' personal development (Andreatos, 2011). There is a high diversity in employees' personal educational needs, contrary to that of students. CoPs produce social capital which may be encoded in New Media products. A huge plethora of OER covering all areas of knowledge is available in the Internet. There are a lot of university open courses available. There are a lot of New Media LOs, appropriate for education. Continuing education is needed in order to make organisations antagonistic in today's globalised environment (Fonstad and Lanvin, 2010; Andreatos 2011). It is of highest importance for an organisation to know its knowledge status. Questions like the following have to be answered: Is the organisation producing any knowledge? Of what kind ? What percentage of the produced knowledge is currently stored within the organisational databases? In what format? Does the organisation need to assimilate new knowledge? and of what kind ? What is the existing knowledge gap at various levels (organisational, departmental, CoP, individual)? Which are the missing skills? Is there a learning needs analysis? Learning needs analyses can also identify inter- and intradepartmental needs, common missed skills etc. Can uniform groups be formed? What are the various continuing education programme options and what is their cost? Who will design them and how will they assure their quality? Will there be a certification? How shall we assess the quality of the certification? Is this certification widely accepted? Can our staff be certified by an external, universally accepted authority such as a University? At what cost? Thus, organisations have to adopt sustained learning policies exploiting their staff (e.g., technical experts, CoPs), their social capital, as well as, OER freely available in the Internet. 5. Conclusion In this paper the following points were discussed: Sustained learning is a crucial factor of an organisation’s ability to survive and effectively compete in the globalisation era worldwide. Organisations are learning entities producing their own knowledge encoded in their social capital, part of which is stored in their databases. This social capital is a very important asset because it summarises the organisation's experience. 31

Figure 5: Video metadata from YouTube<br />

Antonios Andreatos<br />

Figure 6: Yale maintains educational channels in YouTube and iTunes<br />

From the above figures it comes out that there is high incompatibility of metadata, making their<br />

automatic process difficult. This means that in most cases the selection of LOs from various sources<br />

will have to be done by a human: somebody will have to exhaustively examine the LOs and manually<br />

assign the missing metadata according to a formal scheme, to make them machine-usable.<br />

Of course, other options exist, such as examining part of the LOs exhaustively, while choose some<br />

others (for instance, those coming from trusted sources) only by checking their metadata. Another<br />

solution is to rate sources or authors by quality and then easily accept LOs from these sources or<br />

authors.<br />

One form of metadata added by users is social tags or folksonomies. Various schemes for automatic<br />

metadata generation using combinations of author indexing, expert indexing, peer review, automatic<br />

metadata generation and/or collaborative social tagging have been proposed (Andreatos & Katsoulis,<br />

2011).<br />

As far as quality is concerned, many repositories use a peer process to assess their LOs. New Media<br />

channels on the other hand use statistics, “likes” and “dislikes” and users' comments, which provide<br />

some quality indication.<br />

Recently some experimental tools facilitating the search of OER have been proposed (Andreatos &<br />

Katsoulis, 2011). However, the author believes that the research in this area is still in its infancy.<br />

30

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