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BEGIN:VEVENT
UID:06af84bcaafa13033edc512f8bb5dfa861e5fa60@swoogo.com
DTSTAMP:20260613T181656Z
DESCRIPTION:This paper reports an experience of statistical analysis of inf
 ormation derived from the New Analytics of Canvas LMS® in a sample of grou
 ps of the Tecnológico de Monterrey\, Mexico City Region. This descriptive 
 statistical analysis shows the usefulness of the analytics at different le
 vels (teacher\, course\, department\, school)\, quantitatively evaluating 
 the course designs in the platform for continuous academic improvement. Th
 e analysis also explores student performance within the platform (particip
 ations\, deliveries\, final grade)\, as well as the use of digital element
 s (views) within the course design in Canvas.
DTSTART:20220914T130000Z
DTEND:20220915T045900Z
LAST-MODIFIED:20260613T181656Z
LOCATION:https://events.instructurecon.com/2022-LatinAmerica/v/s-1016864
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:New Canvas LMS analytics as a tool for continuous improvement of co
 urse content - Mexico
TRANSP:OPAQUE
X-ALT-DESC;FMTTYPE=text/html:<p>This paper reports an experience of statist
 ical analysis of information derived from the New Analytics of Canvas LMS®
  in a sample of groups of the Tecnológico de Monterrey\, Mexico City Regio
 n. This descriptive statistical analysis shows the usefulness of the analy
 tics at different levels (teacher\, course\, department\, school)\, quanti
 tatively evaluating the course designs in the platform for continuous acad
 emic improvement. The analysis also explores student performance within th
 e platform (participations\, deliveries\, final grade)\, as well as the us
 e of digital elements (views) within the course design in Canvas.</p>
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DESCRIPTION:This paper reports an experience of statistical analysis of inf
 ormation derived from the New Analytics of Canvas LMS® in a sample of grou
 ps of the Tecnológico de Monterrey\, Mexico City Region. This descriptive 
 statistical analysis shows the usefulness of the analytics at different le
 vels (teacher\, course\, department\, school)\, quantitatively evaluating 
 the course designs in the platform for continuous academic improvement. Th
 e analysis also explores student performance within the platform (particip
 ations\, deliveries\, final grade)\, as well as the use of digital element
 s (views) within the course design in Canvas.
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