Designing a Mobile Digital Backchannel System for Monitoring Sentiments and Emotions in Large Lectures

Peerumporn Jiranantanagorn, Parveen Bhardwaj, Ruilun Li, Haifeng Shen, Robert Goodwin, Kung-Keat Teoh

    Research output: Contribution to conferencePaperpeer-review

    1 Citation (Scopus)

    Abstract

    Digital backchannel systems have been proven useful for gathering real-time students' feedback in a large lecture environment. However, it is difficult for lecturers to process and respond to large amount of feedback in real time while they are teaching in a large lecture. To address this issue, we propose a mobile digital backchannel system ClasSense that allows students to give feedback during a class and extract the students' sentiments and emotions in their feedback in real time so that the lecturer can continuously monitor the morale of the student population and respond to the most important concerns students have in common. This position paper presents the key design considerations and outlines our research plan.

    Original languageEnglish
    Pages141-144
    Number of pages4
    DOIs
    Publication statusPublished - 28 Sept 2015
    EventThe 24th Australasian Software Engineering Conference - Adelaide, Australia
    Duration: 28 Sept 20151 Oct 2015

    Conference

    ConferenceThe 24th Australasian Software Engineering Conference
    Country/TerritoryAustralia
    CityAdelaide
    Period28/09/151/10/15

    Keywords

    • Backchannel
    • Emotion
    • Microblog
    • Mobile device
    • Morale
    • Sentiment

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