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iQUIZ!: A Collaborative Online Learning System that Promotes Growth Mindset Using Persuasive Feedback | SpringerLink
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iQUIZ!: A Collaborative Online Learning System that Promotes Growth Mindset Using Persuasive Feedback

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Augmented Intelligence and Intelligent Tutoring Systems (ITS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13891))

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Abstract

Research has shown that learners learn best when they learn actively. In collaborative learning, students take charge of learning and work with others to achieve a common goal. It helps them experience seeking and synthesizing knowledge effectively by forming and planning their research and study strategies to reach their goals. Along with collaborative learning, a growth mindset helps them to believe that their effort and hard work can help them to succeed. To help students learn and adopt a growth mindset, we propose an online learning system called “iQUIZ!”, that uses persuasive strategies (praise, simulation, self-monitoring, similarity, suggestion, and reminder) to give students feedback to foster a growth mindset and motivate the students to practice active participation in a collaborative learning environment.

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Authors and Affiliations

  1. University of Saskatchewan, Saskatoon, SK, S7N 5C9, Canada

    Mehnuma Tabassum Omar, Nafisul Kiron & Julita Vassileva

Authors
  1. Mehnuma Tabassum Omar
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  2. Nafisul Kiron
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  3. Julita Vassileva
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Corresponding authors

Correspondence to Mehnuma Tabassum Omar , Nafisul Kiron or Julita Vassileva .

Editor information

Editors and Affiliations

  1. University of Montreal, Montreal, Canada

    Claude Frasson

  2. University of West Attica, Athens, Greece

    Phivos Mylonas

  3. University of West Attica, Athens, Greece

    Christos Troussas

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Omar, M.T., Kiron, N., Vassileva, J. (2023). iQUIZ!: A Collaborative Online Learning System that Promotes Growth Mindset Using Persuasive Feedback. In: Frasson, C., Mylonas, P., Troussas, C. (eds) Augmented Intelligence and Intelligent Tutoring Systems. ITS 2023. Lecture Notes in Computer Science, vol 13891. Springer, Cham. https://doi.org/10.1007/978-3-031-32883-1_27

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  • DOI: https://doi.org/10.1007/978-3-031-32883-1_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32882-4

  • Online ISBN: 978-3-031-32883-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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