Skip to main content
SpringerLink
Log in

Work-in-Progress: The Impact of Computational Thinking on Introducing Programming: Quasi-experiment and Student Perception

  • Conference paper
  • First Online:
Learning in the Age of Digital and Green Transition (ICL 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 634))

Included in the following conference series:

  • 548 Accesses

Abstract

Learning programming can be challenging for some students. As Computational Thinking (CT) is one of programming’s basic foundations, this paper aims to assess the impact of introducing CT prior to learning programming. We compare two groups of informatics students, one with a CT course and another without it. Our quasi-experiments show that students with the CT course have better theoretical and laboratory exam results; they also have higher retention. From a questionnaire survey, students from both groups agree that CT can assist them to learn programming logic, syntax, and runtime. We conclude that introducing CT to informatics students can help them to learn introductory programming, especially in increasing student retention.

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 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
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. Ishizue, R., Sakamoto, K., Washizaki, H., Fukazawa, Y.: PVC: visualizing C programs on web browsers for novices. In: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, pp. 245–250 (2018)

    Google Scholar 

  2. Karnalim, O., Ayub, M.: A quasi-experimental design to evaluate the use of pythontutor on programming laboratory session. Int. J. Online Biomedical Eng. (iJOE) 14(02), 155–164 (2018)

    Article  Google Scholar 

  3. Ramírez-Echeverry, J.J., Restrepo-Calle, F., González, F.A.: A case study in technology-enhanced learning in an introductory computer programming course. Glob. J. Eng. Educ. 24(1), 65–71 (2022)

    Google Scholar 

  4. Wickey da Silva Garcia, F., Ronaldo Bezerra Oliveira, S., da Costa Carvalho, E.: Application of a teaching plan for algorithm subjects using active methodologies: an experimental report. Int. J. Emerging Technologies in Learning (iJET) 17(07), 175–207 (2022)

    Google Scholar 

  5. Aho, A.V.: Computation and computational thinking. Comput. J. 55(7), 832–835 (2012)

    Article  Google Scholar 

  6. Shute, V.J., Sun, C., Asbell-Clarke, J.: Demystifying computational thinking. Educ. Res. Rev. 22, 142–158 (2017)

    Article  Google Scholar 

  7. Denning, P.J., Tedre, M.: Computational thinking: a disciplinary perspective. Informatics in Education 20(3), 361–390 (2021)

    Google Scholar 

  8. Agbo, F.J., Oyelere, S.S., Suhonen, J., Adewumi, S.: A systematic review of computational thinking approach for programming education in higher education institutions. In: Proceedings of the 19th Koli Calling International Conference on Computing Education Research, pp. 1–10 (2019)

    Google Scholar 

  9. Kazimoglu, C., Kiernan, M., Bacon, L., MacKinnon, L.: Learning programming at the computational thinking level via digital game-play. Procedia Computer Sci. 9, 522–531 (2012)

    Article  Google Scholar 

  10. Philip, M., Renumol, V.G., Gopeekrishnan, R.: A pragmatic approach to develop computational thinking skills in novices in computing education. In: IEEE International Conference in MOOC, Innovation and Technology in Education (MITE), pp. 199–204 (2013)

    Google Scholar 

  11. Shyamala, C.K., Velayutham, C.S., Parameswaran, L.: Teaching computational thinking to entry-level undergraduate engineering students at Amrita University. In: IEEE Global Engineering Education Conference (EDUCON), pp. 1731–1734 (2017)

    Google Scholar 

  12. Karnalim, O., Kumiawati, G., Sujadi, S.F.: Online teaching on student programming performance during the pandemic. In: IEEE International Conference on Engineering, Technology & Education (TALE), pp. 01–05 (2021)

    Google Scholar 

  13. Karnalim, O., Simon, Chivers, W., Panca, B.S.: Educating students about programming plagiarism and collusion via formative feedback. ACM Transactions on Computing Education, Accepted in December 2021 (2021)

    Google Scholar 

Download references

Acknowledgment

This research is financially supported by the Maranatha Christian University Re-search Committee, by means of the Maranatha Christian University Grant.

Author information

Authors and Affiliations

  1. Maranatha Christian University, Prof. Drg. Surya Sumantri, M.P.H. No. 65, Bandung, 40164, Indonesia

    Mewati Ayub, Oscar Karnalim, Maresha Caroline Wijanto, Robby Tan,  Risal & Rossevine Artha Nathasya

Authors
  1. Mewati Ayub
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Oscar Karnalim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maresha Caroline Wijanto
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Robby Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Risal
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Rossevine Artha Nathasya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mewati Ayub .

Editor information

Editors and Affiliations

  1. CTI Global, Frankfurt/Main, Germany

    Michael E. Auer

  2. Federal Ministry of Education, Science and Research, Vienna, Austria

    Wolfgang Pachatz

  3. Tallinn University of Technology, Tallinn, Estonia

    Tiia Rüütmann

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

Ayub, M., Karnalim, O., Wijanto, M.C., Tan, R., Risal, Nathasya, R.A. (2023). Work-in-Progress: The Impact of Computational Thinking on Introducing Programming: Quasi-experiment and Student Perception. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds) Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, vol 634. Springer, Cham. https://doi.org/10.1007/978-3-031-26190-9_49

Download citation

Publish with us

Policies and ethics

Search

Navigation