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Design of Learning by Logical Empathic Understanding in Technology Enhanced Learning

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Human Interface and the Management of Information. Information-Rich and Intelligent Environments (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12766))

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Abstract

Logical Empathic Understanding is to assume the other’s conclusions or arguments as correct ones even if they are not the same ones with self-ones, and then try to explain them logically. It is “logical thinking about other’s thinking”. Empathic Understanding (EU for short) has been originally proposed in the practice of counseling and it has been widely accepted as a basic principle of counseling. EU includes emotional aspects and logical aspect. This paper focuses on the logical aspects of EU and call the specified EU “Logical Empathic Understanding” (LEU for short). Because it requires reflective thinking or metacognitive thinking, it is also promising in teaching and learning. In technology enhanced learning, LEU by teachers or learning support systems have been already investigated as learner modeling or cognitive counseling but there are little studies that deal with LEU by learners. In this paper, a framework of Knowledge Empathic Understanding as a subcategory of LEU is defined. Then, design of learning tasks for LEU with explicit knowledge are proposed based on Open Information Structure Approach. As concrete tasks, problem-posing word problem for a wrong answer in arithmetic, finding missing premises in triangle logic, and re-composition of concept maps are explained.

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Authors and Affiliations

  1. Hiroshima University, Hiroshima, Japan

    Tsukasa Hirashima

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  1. Tsukasa Hirashima
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Correspondence to Tsukasa Hirashima .

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Editors and Affiliations

  1. Tokyo University of Science, Tokyo, Saitama, Japan

    Sakae Yamamoto

  2. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

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Hirashima, T. (2021). Design of Learning by Logical Empathic Understanding in Technology Enhanced Learning. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information. Information-Rich and Intelligent Environments. HCII 2021. Lecture Notes in Computer Science(), vol 12766. Springer, Cham. https://doi.org/10.1007/978-3-030-78361-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-78361-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78360-0

  • Online ISBN: 978-3-030-78361-7

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