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LOCAL WINNER
Experienced Awards: Disruptive technology

ClasScorer

A solution proposed for the challenge Bot-a-thon for Better Campus Life

Solution details

ClasScorer is intended as a toolkit to help create a more fun and engaging class. By using leveraging computer vision technology, we could create a more gamified class that relies and benefits much more on participation over idle listening. ClasScorer alse leverages the vision technology to account for attendance and engagement in a classroom, which would lighten the mental load for tutor during a class. ClasScorer main goal is to help students with attention issues, (ADHD, etc.) to engage, and learn much more in the classroom, as well as help tutors measure and quantify how they could help students understand the topic better, all meanwhile, accounting for attendance in a classroom, to not need to take time in a classroom calling name or taking attendance.

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Towards a Gamified Classroom

Bot-a-thon for Better Campus Life

Alameinnovate

Context

Students nowadays suffer from having a short attention
span, due to the nature of current technology. Moreover,
more students are losing valuable information within
class due to disorders they cannot control. On the other
hand, Tutors are losing valuable time within a class,
accounting for attendance for trying to get students to
engage.

Who Benefits?

The target groups for this program are Students and
Tutors (Benefitors)
This solution would help students engage more, create a
friendly but competitive envrionement that encourges
focus and actively listening.
It would also help tutors account for attendance and
engagement, giving them more time to focus on giving
an engaging class to theur students

Impact

After MVP developement, we intend to deploy it within a
participating University, where we will anonymise all the
data, and start measuring what improvement we can see
compared to a control group. As the data we will
comparing is not large, We can only conclude from it if
these features have any potential to improve information
retention rate, as well as improve classroom preformace.
Once the data from the initial study is shown, we can
delve further into testing the program with multiple
different universities, attempting to gather more data, to
compare and contrast with older student retention
measures, as well as available control groups.

Team work

Our team has a diverse set of skills, allowing each
different feature to be developed to the best of our
abilities. The team themselves have also worked together
on a plethora of different projects.

Innovativeness

Some solutions exist for all 3 of these problems.
However, not one solution combines all of these features.
Moreover, almost no solution exist for automating these
features, rather opting to use time consuming manually
inputted data from a web portal

Transferability

If developed successfully, it could be used for exams to
check for cheating. It could also be used in seminars to
understand if the people watching were focused or not

Sustainability

At the moment, the team is currently working on the
implementation, testing different vision models, and
creating the basic wireframing of the application, within
2-3 months, we should have the MVP to deploy and use.

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