{"id":93548,"date":"2013-10-22T22:41:09","date_gmt":"2013-10-23T02:41:09","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/artificial-intelligence-to-measure-collaborative-capacity-of-students.php"},"modified":"2013-10-22T22:41:09","modified_gmt":"2013-10-23T02:41:09","slug":"artificial-intelligence-to-measure-collaborative-capacity-of-students","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/artificial-intelligence-to-measure-collaborative-capacity-of-students.php","title":{"rendered":"Artificial intelligence to measure collaborative capacity of students"},"content":{"rendered":"<p><p>14 hours ago            e-learning.    <\/p>\n<p>    Tecnalia works on the development of semantic descriptors    applied to collaboration indicators on e-learning platforms.  <\/p>\n<p>    E-learning platforms are becoming particularly relevant now    that training is a key factor for people, and both companies    and universities or training centres are aware that they are    going to be an essential training pillar in the future, thanks    to their flexibility, dispersion and adaptation to the    different study rates of students. One of the key aspects is    the potential of collaborative learning between students; the    ability to resolve a problem between several people, divide and    spread out the work and learn from it, has a clear advantage    over individual learning.  <\/p>\n<p>    It is essential to be able to measure the degree of collaboration of each student, and have    transferable metrics and indicators so that any e-learning    platform can monitor the degree of collaboration of its    students. In this way, this platform can generate    recommendations to encourage collaboration between its members,    or correct inappropriate trends in a collaborative learning process.  <\/p>\n<p>    Artificial Intelligence techniques are used to obtain this data    and hence generate the opportune recommendations: Machine    Learning and Data Mining, which provide metrics and indicators    that are transferable to any e-learning programme, through    semantic techniques that can be used on any learning platform for adaptive and recommendation    purposes.<\/p>\n<p>     Explore further:     No benefits ensue from snack learning  <\/p>\n<p>      A recent experiment involving University of Western Australia      students suggests snacking while studying does not improve      academic performance.    <\/p>\n<p>      UBC researchers have launched a study to explore why      learning-disabled students shine in the University's      demanding opera program. The study, called \"Libretti of      Learning,\" will be presented at Congress, a national      gathering ...    <\/p>\n<p>      This autumn, the schoolbags of pupils attending the      Savonlinna Teacher Training School of the University of      Eastern Finland are much lighter than before, thanks to      tablet computers. Approximately half of ...    <\/p>\n<p>      With 63 percent of Europe's nine-year-olds in schools missing      vital digital equipment, the European Commission launched a      vast plan Wednesday to promote e-learning from primary school      to universities.    <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Here is the original post:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/phys.org\/news301645508.html\" title=\"Artificial intelligence to measure collaborative capacity of students\">Artificial intelligence to measure collaborative capacity of students<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> 14 hours ago e-learning. Tecnalia works on the development of semantic descriptors applied to collaboration indicators on e-learning platforms. E-learning platforms are becoming particularly relevant now that training is a key factor for people, and both companies and universities or training centres are aware that they are going to be an essential training pillar in the future, thanks to their flexibility, dispersion and adaptation to the different study rates of students.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/artificial-intelligence-to-measure-collaborative-capacity-of-students.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-93548","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/93548"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=93548"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/93548\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=93548"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=93548"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=93548"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}