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Evaluation of a Data Structure Viewer for Educational Practice

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Towards a Collaborative Society Through Creative Learning (WCCE 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 685))

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Abstract

Data structures and algorithms are fundamental subjects in the curricula of information science faculties and departments. Recently, they were also included in the curriculum as basic subjects of data science and artificial intelligence.

In 2017, we developed a smartphone application, termed Data Structure Viewer(DSV), to promote the understanding of data structures and algorithms. This application has been used in our lectures. In this article, we describe the evaluation of the DSVs used in lectures from 2017 to 2021 through the use of questionnaires. The students’ evaluation and confirmation of the lecture content in class, revealed that the DSV contributed to the improvement of students’ comprehension. We also discuss important points to be considered when using the DSV in lectures.

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Notes

  1. 1.

    Algorithms: http://algorithm.wiki/.

  2. 2.

    Python Tutor: https://pythontutor.com/.

  3. 3.

    Monaca, https://monaca.io/.

  4. 4.

    https://play.google.com/store/apps/details?id=jp.co.asial.algorithm& hl=ja& gl=US.

  5. 5.

    Analysis by user local text mining tool (https://textmining.userlocal.jp/).

References

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Acknowledgments

We express our sincere gratitude to Mr. Yuki Okamoto and Mr. Ryoichi Tsukada of Asial Corporation for their assistance in developing the application and publishing the book.

Author information

Authors and Affiliations

  1. Tokai University, 4-1-1, Kitakanme, Hiratsuka, Kanagawa, 259-1292, Japan

    Kensuke Onishi

Authors
  1. Kensuke Onishi
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Correspondence to Kensuke Onishi .

Editor information

Editors and Affiliations

  1. School of Education, La Trobe University, Deepdene, VIC, Australia

    Therese Keane

  2. Education and Social Research Institute, Manchester Metropolitan University, Manchester, UK

    Cathy Lewin

  3. University of Duisburg-Essen, Essen, Germany

    Torsten Brinda

  4. Istituto Tecnologie Didattiche, Consiglio Nazioanale delle Ricerche, Genoa, Genova, Italy

    Rosa Bottino

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Onishi, K. (2023). Evaluation of a Data Structure Viewer for Educational Practice. In: Keane, T., Lewin, C., Brinda, T., Bottino, R. (eds) Towards a Collaborative Society Through Creative Learning. WCCE 2022. IFIP Advances in Information and Communication Technology, vol 685. Springer, Cham. https://doi.org/10.1007/978-3-031-43393-1_46

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  • DOI: https://doi.org/10.1007/978-3-031-43393-1_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43392-4

  • Online ISBN: 978-3-031-43393-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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