Just a reminder of a feature in the TII AI detection that was introduced a little while ago. False positives (incorrectly flagging human-written text as AI-generated) are a possibility in AI models. To avoid potential incidence of false positives, no score or highlights are attributed for AI detection scores in the 1% to 19% range. When AI is detected below the 20% threshold in the report, it is now indicated with an asterisk (*%) and no percentage is attributed.
This Month
There are no events for this month.Categories
Tags
academic develoment
Academic Integrity
Accessibility
ai
analytics
Ascilite
Assessment
atrium
Audio-Visual
cogniti
echo360
echovideo
Element 6
Element 7
Element 10
Element 13
exams
feature
feedback
genai
integration
kaltura
Learning design
library
lms
marking
moodle
mylearn
OLX
olx marking
project
renewal
Rubrics
student_experience
studiosity
success
symposium
T3/2021
Turnitin
udemy
update
upgrade
uplift
video
webinar