Exploring the Acceptance of the Web-Based Coding Tool in an Introductory Programming Course: A Pilot Study | SpringerLink
Skip to main content

Exploring the Acceptance of the Web-Based Coding Tool in an Introductory Programming Course: A Pilot Study

  • Conference paper
  • First Online:
Human Interaction, Emerging Technologies and Future Applications III (IHIET 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1253))

  • 3017 Accesses

Abstract

Web-based coding tools are a popular alternative to desktop applications widely employed in education. Understanding the factors that affect the acceptance of web-based coding tools is a prerequisite for their successful application. With an aim to determine to what extent students’ attitude towards programming and their previous programming knowledge affect students’ acceptance of the web-based programming tool, an empirical study was carried out in which the technology acceptance model (TAM) was employed as a theoretical backbone. Participants in the study were students enrolled to the introductory programming course who used Repl.it as a representative sample of the web-based coding tool. The psychometric features of the introduced research framework were examined by means of the partial least square structural equation modelling technique. The study findings revealed that attitude towards programming does not play an important role in the adoption of a web-based coding tool.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 22879
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 28599
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. Valentine, D.W.: CS educational research: a meta-analysis of SIGCSE technical symposium proceedings. ACM SIGCSE Bull. 36(1), 255–259 (2004)

    Article  Google Scholar 

  2. Watson, C., Li, F.W.: Failure rates in introductory programming revisited. In: Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education, pp. 39–44. ACM (2014)

    Google Scholar 

  3. Sheard, J., Simon, S., Hamilton, M., Lönnberg, J.: Analysis of research into the teaching and learning of programming. In: Proceedings of the Fifth International Workshop on Computing Education Research Workshop, pp. 93–104. ACM (2009)

    Google Scholar 

  4. Davis, F., Venkatesh, V.: A critical assessment of potential measurement biases in the technology acceptance model: three experiments. Int. J. Hum Comput Stud. 45(1), 19–45 (1996)

    Article  Google Scholar 

  5. Bergin, S., Reilly, R.: Programming: factors that influence success. In: 36th SIGCSE Technical Symposium on Computer Science Education, pp. 411–415 (2005)

    Google Scholar 

  6. Hagan, D., Selby, M.: Does it help to have some programming experience before beginning a computing degree program? In: 5th Annual SIGCSE/SIGCUE ITiCSE Conference on Innovation and Technology in Computer Science Education, pp. 25–28 (2000)

    Google Scholar 

  7. Holden, E., Weeden, E.: The impact of prior experience in an information technology programming course sequence. In: 4th Conference on Information Technology Curriculum, pp. 41–46 (2003)

    Google Scholar 

  8. Wilson, B., Shrock, S.: Contributing to success in an introductory computer science course. ACM SIGCSE Bull. 33(1), 184–188 (2001)

    Article  Google Scholar 

  9. Baser, M.: Attitude, gender and achievement in computer programming. Online Submiss. 14(2), 248–255 (2013)

    Google Scholar 

  10. Facey-Shaw, L., Golding, P.: Effects of peer tutoring and attitude on academic performance of first year introductory programming students. In: Frontiers in Education 35th Annual Conference (2005)

    Google Scholar 

  11. Sarstedt, M., Cheah, J.: Partial least squares structural equation modeling using SmartPLS: a software review. J. Mark. Anal. 7(3), 196–202 (2019)

    Article  Google Scholar 

  12. Hulland, J.: Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strat. Manag. J. 20(2), 195–204 (1999)

    Article  Google Scholar 

  13. Hair, J., et al.: PLS-SEM: indeed a silver bullet. J. Mark. Theory Pract. 19(2), 139–152 (2011)

    Article  Google Scholar 

  14. Hartshorne, R., Ajjan, H.: Examining student decisions to adopt Web 2.0 technologies: theory and empirical tests. J. Comput. High. Educ. 21, 3 (2009)

    Article  Google Scholar 

  15. van der Heijden, H.: Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Inf. Manag. 40(6), 541–549 (2003)

    Article  Google Scholar 

  16. Orehovački, T.: Methodology for evaluating the quality in use of Web 2.0 applications. University of Zagreb (2013). (in Croatian)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Igor Škorić .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and 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

Škorić, I., Orehovački, T., Ivašić-Kos, M. (2021). Exploring the Acceptance of the Web-Based Coding Tool in an Introductory Programming Course: A Pilot Study. In: Ahram, T., Taiar, R., Langlois, K., Choplin, A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham. https://doi.org/10.1007/978-3-030-55307-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-55307-4_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55306-7

  • Online ISBN: 978-3-030-55307-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics