Introducing a multiple model for evaluating user engagement in educational virtual worlds

Omid Mohamad Nezami, Deborah Richards

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

3 Citations (Scopus)

Abstract

User engagement (UE) is closely correlated to the performance of educational environments including educational virtual worlds (EVWs). In this paper, we aim at introducing a model to assess UE to evaluate the performance of our EVW called Omosa. In fact, applying this model, we can achieve an accurate and comprehensive assessment for UE. This model is a combination of several methods to evaluate diverse UE dimensions including academic, emotional, cognitive and behavioural. Since each dimension has its own characteristics, specific methods should be applied to measure it. Each method, however, suffers from some limitations and gives an incomplete assessment. We intend to incorporate several methods to compensate the limitations of each method and obtain a comprehensive and precise UE assessment model. This work consists of three main sections. For the first section, we use a method called academic record to understand the academic dimension of UE. This method includes some predefined questions which are asked from teachers. In the second section, we use a self-report method called Student Engagement Instrument to evaluate the emotional and cognitive dimensions of UE. For the last section, we use machine vision based approaches to evaluate the behavioural dimension of UE. Combining the results from in each section, we could accurately calculate the performance of our EVW.

Original languageEnglish
Title of host publicationICCAE 2017
Subtitle of host publicationProceedings of 2017 9th International Conference on Computer and Automation Engineering
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages16-20
Number of pages5
ISBN (Electronic)9781450348096
DOIs
Publication statusPublished - 18 Feb 2017
Event9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia
Duration: 18 Feb 201721 Feb 2017

Conference

Conference9th International Conference on Computer and Automation Engineering, ICCAE 2017
CountryAustralia
CitySydney
Period18/02/1721/02/17

Keywords

  • Educational virtual worlds
  • Facial expression
  • Self-report
  • User engagement

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