Skip to main content

An Investigation of Italian Primary School Teachers’ View on Coding and Programming

  • Conference paper
  • First Online:
Informatics in Schools. Fundamentals of Computer Science and Software Engineering (ISSEP 2018)

Abstract

This paper reports the results of an investigation involving almost a thousand primary school teachers in Italy, to explore their views on the terms “coding” and “programming”, and how they are related to their ideas on “computational thinking”.

When directly asked “if coding is different from writing programs”, roughly 2 out of 3 teachers answered “no”. Among the teachers who answered “yes”, almost 160 tried to motivate the difference: a few of them gave admissible explanations, while the others showed various misunderstandings, which we classify and discuss.

By contrast, when asked about their idea of “what coding is”, only 4 out of 10 of the teachers explicitly linked coding to programming, but an additional 2 out of 10 cited an information processing agent executing instructions. The remaining part of the sample did not provide explicit or implicit links between coding and programming.

Our investigation shows that untrained teachers hold misconceptions regarding CS and its related terms. Given the general public and media attention on “coding” in schools, currently taught by existing teachers - mostly not appropriately trained, professional development actions focusing on CS scientific principles and methods are therefore a top priority for the effectiveness of CS education in schools.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Notes

  1. 1.

    For example in primary schools teachers meet weekly to do an “hour of programming”, namely to agree on the content of lessons of the week.

  2. 2.

    In [6] a value of at least 6 characterizes an “acceptable” CT definition.

  3. 3.

    This is the subset of Q1 answers that has not been classified in any of the related categories.

References

  1. Armoni, M.: Computing in schools: computer science, computational thinking, programming, coding: the anomalies of transitivity in k-12 computer science education. ACM Inroads 7(4), 24–27 (2016)

    Article  Google Scholar 

  2. Barendsen, E., et al.: Concepts in k-9 computer science education. In: ITICSE-WGR 2015, pp. 85–116. ACM (2015)

    Google Scholar 

  3. Bell, T.: What’s all the fuss about coding? In: ACER Research Conference 2016. Australian Council for Educational Research, Melbourne, Australia (2016)

    Google Scholar 

  4. Ben-Ari, M.: In defense of programming. In: ITiCSE 2015. ACM (2015)

    Google Scholar 

  5. Caspersen, M.E., Gal-Ezer, J., Nardelli, E., Vahrenhold, J., Westermeier, M.: The CECE report: creating a map of informatics in European schools. In: SIGCSE 2018 (2018)

    Google Scholar 

  6. Corradini, I., Lodi, M., Nardelli, E.: Conceptions and misconceptions about computational thinking among Italian primary school teachers. In: ICER 2017 (2017)

    Google Scholar 

  7. Corradini, I., Lodi, M., Nardelli, E.: Computational thinking in Italian schools: quantitative data and teachers’ sentiment analysis after two years of “Programma il Futuro” Project. In: ITiCSE 2017. ACM, New York (2017)

    Google Scholar 

  8. Denning, P.J., Rosenbloom, P.S.: The profession of IT: computing: the fourth great domain of science. Commun. ACM 52(9), 27–29 (2009)

    Article  Google Scholar 

  9. Denning, P.J., Tedre, M., Yongpradit, P.: Misconceptions about computer science. Commun. ACM 60(3), 31–33 (2017)

    Article  Google Scholar 

  10. Duncan, C., Bell, T., Tanimoto, S.: Should your 8-year-old learn coding? In: Proceedings WiPSCE 2014, pp. 60–69. ACM (2014)

    Google Scholar 

  11. Italian Ministry of Education, University and Research: National Plan for Digital Education (2016)

    Google Scholar 

  12. Nardelli, E.: Do we really need computational thinking? Commun. ACM (2018, to be published)

    Google Scholar 

  13. Prottsman, K.: Coding vs. programming - battle of the terms! (2015). http://www.huffingtonpost.com/kiki-prottsman/coding-vs-programming-bat_b_7042816.html

  14. Sentance, S.: Why teach computer science in school. In: Sentance, S., Barendsen, E., Schulte, C. (eds.) Computer Science Education. Perspectives on Teaching and Learning in School, chap. 1, pp. 3–4. Bloomsbury Academic, London (2018)

    Google Scholar 

  15. The Royal Society: After the Reboot: Computing Education in UK Schools. The Royal Society, London (2017)

    Google Scholar 

  16. Wing, J.M.: Computational thinking. Commun. ACM 49(3), 33–35 (2006)

    Article  Google Scholar 

Download references

Acknowledgements

We greatly thank teachers and students involved in Programma il Futuro project (coordinated by EN) and Code.org for their cooperation.

We acknowledge the financial support of Engineering, TIM; CA Technologies, De Agostini Scuola, SeeWeb. Other companies have financially supported the project for two school-years only: Samsung Italia; Microsoft Italia; Cisco, Hewlett-Packard, Oracle, Facebook.

Rai Cultura, the culture department of Italian national public broadcasting company, is a media partner of the project since February 2017.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Enrico Nardelli .

Editor information

Editors and Affiliations

Appendix

Appendix

Fig. 1.
figure 1

Growth of search hits for terms coding and programming in ACM SIGCSE publications. Source: ACM Digital Library search results (Aug. 7th, 2018).

Fig. 2.
figure 2

Frequency of each category in Q1

Fig. 3.
figure 3

Frequency of each category in Q3

Fig. 4.
figure 4

Distribution of Q3 answers among classes.

Table 1. Distribution of CT values of relevant Q1 answers.
Table 2. Distribution of CT values for a subset of Q3 answers.
Table 3. Joint distribution of answers to Q1 and Q3.
Table 4. Marginal distribution of Q3 answers wrt to Q1.
Table 5. Marginal distribution of Q1 answers wrt to Q3.

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Corradini, I., Lodi, M., Nardelli, E. (2018). An Investigation of Italian Primary School Teachers’ View on Coding and Programming. In: Pozdniakov, S., Dagienė, V. (eds) Informatics in Schools. Fundamentals of Computer Science and Software Engineering. ISSEP 2018. Lecture Notes in Computer Science(), vol 11169. Springer, Cham. https://doi.org/10.1007/978-3-030-02750-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-02750-6_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02749-0

  • Online ISBN: 978-3-030-02750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics