Classroom Attentiveness Classification Tool (ClassACT): The System Introduction

Timothy Negron, Corey Graves

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Classroom Attentiveness Classification Tool (ClassACT) is a system designed to monitor student attentiveness in a variety of instructional phases within the learning environment: lectures, group work, assessments, etc. By collecting information about the user, the user's environment, and the device itself via the various sensors built in to the tablet, processing the data, and then passing it to a classifier, ClassACT can distinguish between attentive and inattentive behavior. In the case of the formal assessment, which is the first case to be implemented, ClassAct can detect signs of academic dishonesty, as well. The system minimizes the reliance on specialized equipment and plug-n-play sensors, which reduces costs to classrooms, schools or universities wanting to implement ClassACT. Lower costs also makes this system easily extendable to online learning.
Original languageEnglish
Title of host publicationPervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
Pages26-29
StatePublished - 2017

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