conference-paper

THE QUIZ-MASTER BOT: A PERSISTENT AUGMENTED QUIZ DELIVERED THROUGH ONLINE MESSAGING

  • INTED proceedings
  • International Academy of Technology, Education and Development
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Chatterbots, or bots, have recently enjoyed a dramatic comeback: these automated agents, communicating with users through the exchange of simple text messages, have overtaken most online messaging platforms and are increasingly used to provide means to access information or to make use of services. Because of the pervasive popularity of messaging platforms, as they represent the main driver in smartphone usage across all demographics, bots represent an attractive development platform with direct access to a large number of users and a very low access barrier.
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\nMany bot platforms allow the creation of special hyperlinks that invoke a particular dialogue with the bot. These hyperlinks can be presented to users digitally as URIs (Uniform Resource Identifiers) or visually as QR Codes that can be embedded in digital media or bound to a physical object or a geographical location. In both cases, hyperlinks may carry additional information, providing valuable context, while enabling a seamless transition to the conversation with the bot.
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\nIn this work we describe a system that makes use of an automated data collection bot that delivers quiz questions to users. Hyperlinks are used to determine the question asked, for instance ensuring their sequence or tying them to a specific document. The system can work both synchronously during live events and asynchronously through persistent links.
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\nWe also present two large-scale events during which this system has been used to coördinate online educational coding quizzes and describe the implemented system in detail, illustrating its effectiveness and its gaming mechanics, and also discussing strengths and weaknesses of the proposed system. We argue that the bot-aided coding quiz and its game mechanics could be applied profitably to many other educational events or data collection tasks.

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Publication details

DOI
10.21125/inted.2017.2328
OpenAlex
W2594933812
Document type
conference-paper
Language
EN
Source
INTED proceedings
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