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PRODID:-//MOVING project - ECPv6.0.3.1//NONSGML v1.0//EN
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METHOD:PUBLISH
X-ORIGINAL-URL:https://moving-project.eu
X-WR-CALDESC:Events for MOVING project
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BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180904T080000
DTEND;TZID=UTC:20180904T170000
DTSTAMP:20260407T050219
CREATED:20190328T113804Z
LAST-MODIFIED:20190328T113829Z
UID:2151-1536048000-1536080400@moving-project.eu
SUMMARY:Analytics for Everyday Learning Workshop (AFEL) (co-located with EC-TEL 2018)
DESCRIPTION:AFEL workshop aims at bringing together researchers\, practitioners\, educational developers\, entrepreneurs and policy makers from different backgrounds to provide a forum for discussion the multi-faceted area of analytics for everyday learning. MOVING participated to the workshop by presenting three papers. More specifically: a) the paper “Digging for Gold: Motivating Users to Explore Alternative Search Interfaces” by Angela Fessl\, Alfred Wertner and Viktoria Pammer-Schindler was presented as demo for the EC-TEL in the “Demo Pitch” Session\, and b) the paper “Challenges in Developing Automatic Learning Guidance in Relation to an Information Literacy Curriculum” by Angela Fessl\, Alfred Wertner and Viktoria Pammer-Schindler was presented as workshop paper for the Analytics for Everyday Learning (AFEL) Workshop. The paper presented by Angela Fessl from KC\, who is together with Stefan Thalmann also from KC and organiser of the workshop as a whole and c) the paper “Inferring Knowledge Acquisition through WebNavigation Behaviour” by He Yu was presented as paper in the doctoral consortium.
URL:https://moving-project.eu/events/analytics-for-everyday-learning-workshop-afel-co-located-with-ec-tel-2018/
LOCATION:Leeds\, Leeds\, United Kingdom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180926T080000
DTEND;TZID=UTC:20180926T170000
DTSTAMP:20260407T050219
CREATED:20190329T075140Z
LAST-MODIFIED:20190329T075140Z
UID:2180-1537948800-1537981200@moving-project.eu
SUMMARY:DLR - Institute of Data Science
DESCRIPTION:DLR founded the Institute of Data Science in 2017 to transform ‘Big Data’ – complex\, unstructured datasets – into ‘Smart Data’\, from which conclusions can be drawn and recommendations for action derived. The Institute focuses on concepts for the management\, integration and interdisciplinary analysis of very large datasets in the Industry 4.0\, in the Internet of Things\, in the IT security and other issues in the digital transformation process domains and combining different disciplines (e.g. aerospace\, transport\, energy\, security).  \nTill Blume for ZBW was invited by the DLR- Institute of Data Science\, and gave a lecture (in English) in order to discuss approaches of integrating the Web of Data in modern information retrieval systems\, in particular\, how we integrate it in the MOVING platform.
URL:https://moving-project.eu/events/dlr-institute-of-data-science/
LOCATION:Jena\, Jena\, Germany
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