Learning Support System Adapting to Multidimensionality of Knowledge Acquisition Process of Intellectual Property Law of Engineering Students

Takako Akakura, Takahito Tomoto, Koichiro Kato

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

Abstract

Our previous work classified students according to several dimensions, such as by student learning style and attitude toward the study of law, and then examined how these various classifications related to attitudes exhibited by students toward learning support systems. In doing so, we were able to clarify differences in preference among student types in regard to learning support systems. In the present study, we continued that line of investigation by attempting to determine ways to provide tailored learning support systems to students who were classified according to multiple dimensions. An evaluation experiment showed that students who did not respond positively to learning support systems based on logical formulas and logic circuits were the same students who had been classified as unreceptive to two defined learning styles (information-gathering–focused and practice-exercise–focused) and who reported feeling that legal texts are both hard to read and difficult to understand. However, a subsequent survey of the same students suggested that by reexamining system functionality and making adjustments, such as by changing the order in which the systems are provided and the method in which information is presented on screen, it may be possible to optimize the systems to best serve each type of student.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsSakae Yamamoto, Hirohiko Mori
PublisherSpringer Verlag
Pages280-291
Number of pages12
ISBN (Print)9783030226596
DOIs
Publication statusPublished - 1 Jan 2019
EventThematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11569 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period26/07/1931/07/19

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Keywords

  • Intellectual property law
  • Learning support system
  • Multidimensionality of knowledge acquisition process

Cite this

Akakura, T., Tomoto, T., & Kato, K. (2019). Learning Support System Adapting to Multidimensionality of Knowledge Acquisition Process of Intellectual Property Law of Engineering Students. In S. Yamamoto, & H. Mori (Eds.), Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 280-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11569 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22660-2_19