This document describes an online proctoring solution for detecting cheating during online exams. It discusses how the solution collects and analyzes student data during exams using algorithms and human reviewers to identify suspicious activity. The document outlines the company's development roadmap, including pilots in 2015-2016, a full rollout in 2016, and integrating plugins for online course platforms by 2018. It provides quotes from university professors interested in the solution and compares the company's costs to other online proctoring competitors.
3. 6 23
Our Solution
All information
can be used to
detect cheating
DATA
COLLECTION
Via our secured
connection and
smart algorithm
DATA
ANALYSIS
Real staff will help
to check
suspicious data
SUSPICIOUS
DATA REVIEW
6. 10 23
“…I am very much interested in the development of
automated online proctoring… At TU delft we are
investing a lot of money into online education and we are
looking for effective and efficient ways to perform online
proctoring.”
Ir. Meta Keijzer-de Ruijter, TU Delft
“…I think a system like Intellitest will really help me a lot
… This system will make my life a lot easier...”
Prof. Fabio Casati, Trento University
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1 3 5
2 4 6
Pilots in selected
courses
Fall 2015
EIT Digital
Summer School
July 2015
Available for all
European universities
July 2016
Roadmap
System
Development
August 2015
Roll out to other
courses
April 2016
Plugins for open online
course platforms
2018
15. 19 23
We Need
1 3 5
2 4 6
Pilots in selected
courses
Fall 2015
EIT Digital
Summer School
July 2015
System
Development
August 2015
Roll out to other
courses
April 2016
Available for all
European universities
July 2016
Plugins for open online
course platforms
2018
$25K
