Interactive Personas: Towards the Dynamic Assessment of Student Motivation within ITS

Ishrat Ahmed, Adam Clark, Stefania Metzger, Ruth Wylie, Yoav Bergner, Erin Walker

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

Abstract

An intelligent system can provide sufficient collaborative opportunities and support yet fail to be pedagogically effective if the students are unwilling to participate. One of the common ways to assess motivation is using self-report questionnaires, which often do not take the context and the dynamic aspect of motivation into account. To address this, we propose personas, a user-centered design approach. We describe two design iterations where we: identify motivational factors related to students’ collaborative behaviors; and develop a set of representative personas. These personas could be embedded in an interface and be used as an alternative method to assess motivation within ITS.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings
EditorsIdo Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages43-47
Number of pages5
ISBN (Print)9783030782696
DOIs
StatePublished - 2021
Externally publishedYes
Event22nd International Conference on Artificial Intelligence in Education, AIED 2021 - Virtual, Online
Duration: Jun 14 2021Jun 18 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12749 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Artificial Intelligence in Education, AIED 2021
CityVirtual, Online
Period6/14/216/18/21

Keywords

  • Assessment of motivation
  • Collaborative learning
  • Intelligent Tutoring Systems (ITS)

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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