Skip to main content
SpringerLink
Log in

Proposal for Automatic Problem and Feedback Generation for Use in Trace Learning Support Systems

  • Conference paper
  • First Online:
Human Interface and the Management of Information (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14016))

Included in the following conference series:

  • 519 Accesses

Abstract

Reading programs are an effective way for learning how to understand programs, and learning support systems have been developed that provide explicit reading assignments. However, these systems can handle only questions and feedback that have been created and registered in advance by the system creator, and new questions must be implemented manually one at a time. Therefore, we have been developing a system that can automatically generate problems and feedback. In the present paper, we report the results from evaluation experiments using this system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arai, T., Kanamori, H., Tomoto, T., Kometani, Y., Akakura, T.: Development of a learning support system for source code reading comprehension. In: Yamamoto, S. (ed.) HIMI 2014. LNCS, vol. 8522, pp. 12–19. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07863-2_2

    Chapter  Google Scholar 

  2. Kanamori, H., Tomoto, T., Akakura, T.: Development of a computer programming learning support system based on reading computer program. In: Yamamoto, S. (ed.) HIMI 2013. LNCS, vol. 8018, pp. 63–69. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39226-9_8

    Chapter  Google Scholar 

  3. Tateiwa, Y., Tomoto, T., Akakura, T.: A method to automate questioning for a program trace learning support system. In: IEICE Conferences Archives. The Institute of Electronics, Information and Communication Engineers (2018). (in Japanese)

    Google Scholar 

  4. Watanabe, K., Tomoto, T., Akakura, T.: Development of a learning support system for reading source code by stepwise abstraction. In: Yamamoto, S. (ed.) HIMI 2015. LNCS, vol. 9173, pp. 387–394. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20618-9_39

    Chapter  Google Scholar 

Download references

Acknowledgements

This work was supported by JSPS KAKENHI Grant Numbers JP22K12322, 20H01730.

Author information

Authors and Affiliations

  1. Graduate School of Engineering, Tokyo Polytechnic University, Atsugi, Kanagawa, Japan

    Tomohiro Mogi

  2. Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Aichi, Japan

    Yuichiro Tateiwa

  3. Faculty of Engineering, Tokyo Polytechnic University, Atsugi, Kanagawa, Japan

    Takahito Tomoto

  4. Faculty of Engineering, Tokyo University of Science, Katsushika, Tokyo, Japan

    Takako Akakura

Authors
  1. Tomohiro Mogi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuichiro Tateiwa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Takahito Tomoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Takako Akakura
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tomohiro Mogi .

Editor information

Editors and Affiliations

  1. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  2. Tokyo University of Science, Tokyo, Japan

    Yumi Asahi

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mogi, T., Tateiwa, Y., Tomoto, T., Akakura, T. (2023). Proposal for Automatic Problem and Feedback Generation for Use in Trace Learning Support Systems. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. https://doi.org/10.1007/978-3-031-35129-7_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35129-7_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35128-0

  • Online ISBN: 978-3-031-35129-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation