Providing Timely Support to Students in Educational Virtual Worlds View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Anupam Makhija , Deborah Richards , Santi Caballé , Jordi Conesa

ABSTRACT

Educational Virtual Worlds (EVWs) provide an interesting and engaging educational platform to promote student learning. Virtual classrooms should be designed to be responsive and adaptive enough to judge the emotional level of the learner and should be capable of providing required support and feed-back to maintain the engagement of the learner to achieve their learning goals. Virtual agents with affective capabilities have potential to improve the effectiveness and efficiency of the e-learning and virtual learning platforms. This research study will explore understanding of learners’ emotional states that evolve during the learning process within a EVW by drawing on theories related to epistemic emotions and develop approaches to recognise and intervene in a timely manner based on the individual’s feelings being experienced at that moment. To derive that emotional state, this paper also presents a multi-data and multimodal approach to judge the underlying emotional state of the learner within EVW and the most appropriate intervention for that learner. More... »

PAGES

406-419

References to SciGraph publications

  • 2010. Agent Prompts: Scaffolding Students for Productive Reflection in an Intelligent Learning Environment in INTELLIGENT TUTORING SYSTEMS
  • 2010-06. Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features in USER MODELING AND USER-ADAPTED INTERACTION
  • 2007. Early Prediction of Student Frustration in AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION
  • 2018. Towards a Web-Based Teaching Tool to Measure and Represent the Emotional Climate of Virtual Classrooms in ADVANCES IN INTERNETWORKING, DATA & WEB TECHNOLOGIES
  • 2012. Academic Emotions and Student Engagement in HANDBOOK OF RESEARCH ON STUDENT ENGAGEMENT
  • Book

    TITLE

    Advances in Intelligent Networking and Collaborative Systems

    ISBN

    978-3-319-98556-5
    978-3-319-98557-2

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-98557-2_37

    DOI

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    DIMENSIONS

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