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Educational Linkedscape What is it?

Educational Linkedscape What is it?. The Educational Linkedscape links all educational related data in the educational landscape. Kennisnet, Jeroen Hamers. Educational Linkedscape What is it?. The Educational Linkedscape links all educational related data in the educational landscape .

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Educational Linkedscape What is it?

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  1. Educational Linkedscape What is it? The Educational Linkedscape links all educational related data in the educational landscape. Kennisnet, Jeroen Hamers

  2. Educational Linkedscape What is it? The Educational Linkedscape links all educational related data in the educational landscape. who? what? how? Kennisnet, Jeroen Hamers

  3. Educational Linkedscape What is it? Students • Specialist • in: • Subjects • Education • ICT • … The Educational Linkedscape links all educational related data in the educational landscape. Who (and what) is part of the educational landscape? Schools Governmental Institutions Teachers Coaches Tutors … • Suppliers • of: • Material • Systems • … • Environments: • VLE’s • Communities • Buildings • Rooms • … • Services • like: • Download • Payment • Assessment • … Kennisnet, Jeroen Hamers

  4. Educational Linkedscape What is it? Grades Portfolio’s The Educational Linkedscape links all educational related data in the educational landscape. What is educational related data? (some examples) (meta) data about all peopleand organizationsin the Educational Linkedscape Curricula Vocabularies Definitions Statistics Learning objects (LO’s) and (social) metadataabout LO’s Course attendance Internships Job opportunities Usage data Kennisnet, Jeroen Hamers

  5. Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Related by a common property (like: author, publisher, location, tag ,user, etc…) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  6. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Related by a common property (like: author, publisher, location, tag ,user, etc…) We like it… We hate it! Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) We don’t have un opinion yet. Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  7. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Related by a common property (like: author, publisher, location, tag ,user, etc…) - Purl.007 - Dutch - Grammer • -Purl.007 • Foreign lang • age 14-16 Purl.007 Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by source location (like: webpage/site, triple store, database, document, record, etc…) • -Purl.007 • CCby • - Purl.007 • Dutch • Age 9 Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  8. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Purl.006 Related by a common property (like: author, publisher, location, tag ,user, etc…) Related by a common property (like: author, publisher, location, tag ,user, etc…) - Purl.007 - Dutch - Grammer • -Purl.006 • Dutch • windmills • - Purl.007 • Dutch • Age 9 Purl.007 Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by source location (like: webpage/site, triple store, database, document, record, etc…) • -Purl.007 • CCby • - Purl.015 • Math • Age 9 • CCby Purl.015 Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  9. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Nice! Wherediditcomefrom? Related by a common property (like: author, publisher, location, tag ,user, etc…) Rubbish, is all materialfromthatrepository as bad? Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  10. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Related by a common property (like: author, publisher, location, tag ,user, etc…) Used in 2011 Used in 2011 Used in 2010 Used in 2010 Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Used in 2011 Related by source location (like: webpage/site, triple store, database, document, record, etc…) Used in 2011 Used in 2010 Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  11. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) 2 times used 7 times used Related by a common property (like: author, publisher, location, tag ,user, etc…) 0 times used Not yet used material… What could it mean? Does it need testing or extra promotion? 0 times used 4 times used 0 times used Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) 0 times used Related by source location (like: webpage/site, triple store, database, document, record, etc…) 0 times used 2 times used 6 times used Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  12. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) You are our teacher! You are mystudents Related by a common property (like: author, publisher, location, tag ,user, etc…) Then you must be my students Logic suggestion: replace with for . Logic suggestion: may skip . I only did this and had a C… I already did this and had an A C Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by source location (like: webpage/site, triple store, database, document, record, etc…) This is what I will teach you A Related by usage (who uses something, when is something used) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  13. The Educational Linkedscape linksall educational related data in the educational landscape. How is educational related data linked Educational Linkedscape What is it? Suggestion: a number of students with the same goal used, according to their ePortfolio, the same material to achieve that goal. Should I combine the descriptions of this material into a new learning trajectory? Suggestion: & had the same learning objective as , , , & , but scored significantly lower. The difference and commonality analyses shows that & both used and the others didn’t. Should I add a negative recommendation to that material? Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked? Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation .) D Related by a common property (like: author, publisher, location, tag ,user, etc…) Suggestion: The difference and commonality analyses shows that & both had a grade A and both used and the others scored lower and didn’t use . Should I add to the ePortfolioAction Plan of , , , & ? A F B Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) C Related by source location (like: webpage/site, triple store, database, document, record, etc…) B Related by usage (who uses something, when is something used) A Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Kennisnet, Jeroen Hamers

  14. What does the Educational Linkedscape need? INPUT RDFM dels Tools thatgenerateRDF data Database connections

  15. What does the Educational Linkedscape need? Data visualisation tools Data query tools Data browse tools

  16. What does the Educational Linkedscape need? A starting point

  17. What does the Educational Linkedscape need? Vocabulairy Bank(s), (thatneed to befilled and maintained) Repositories, (thatneed to beconnected as linked data) Models, …thatneed to beconnected Momentum and urgencyfeltbystakeholders, So I askagain: where to start?

  18. Kennisnet, Jeroen Hamers

  19. publiciteit advies ontsluiting gebruiken bij zoeken ketens verbinden toepassen bij metadateren GUE GUE Educational Linkedscape onderzoek adviesraad ontwikkelen Vocabulaire Bank beheren EduStandaard verbinden managen borging kpi’s monitoren rapporteren doelen bepalen sturing Kennisnet, Jeroen Hamers

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