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VERSION:2.0
PRODID:-//UK ACM SIGCSE - ECPv5.6.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:UK ACM SIGCSE
X-ORIGINAL-URL:https://uki-sigcse.acm.org
X-WR-CALDESC:Events for UK ACM SIGCSE
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20180806T093000
DTEND;TZID=UTC:20180806T153000
DTSTAMP:20260501T232216
CREATED:20180719T121602Z
LAST-MODIFIED:20180719T121602Z
UID:142-1533547800-1533569400@uki-sigcse.acm.org
SUMMARY:Learning analytics for improving evidence-based teaching
DESCRIPTION:The purpose of this SICSA-sponsored workshop is to encourage an evidence-based approach to teaching by leveraging quantitative and qualitative data available to CS schools. Most importantly\, we plan to organise a multi-institution study on using machine learning and AI-based techniques on existing data to improve learning outcomes across multiple universities. The workshop will serve to formulate the goals of such a study and forge the necessary collaborations to make this happen.
URL:https://uki-sigcse.acm.org/event/learning-analytics-for-improving-evidence-based-teaching/
LOCATION:University of St Andrews\, The Gateway Building\, North Haugh\, St Andrews\, KY169RJ\, United Kingdom
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://uki-sigcse.acm.org/wp-content/uploads/2018/07/event1.jpg
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