Skip to main content

Programming: A Wicked Subject?

  • Conference paper
  • First Online:
ICT Education (SACLA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 730))

Abstract

Studying programming in an Open Distance Learning setup can be more challenging than in a contact setup. It can be characterised as a ‘wicked problem’. Wicked problems are problems that are so complex that current problem techniques fail to solve it. Wicked problems require a kind of unorthodox, innovative or creative way. Programming can be considered a subject that presupposes the existence of a number of cognitive functions such as problem solving. Problem solving in general requires critical thinking, and critical thinking is characterised by logic, decision making, paying attention to detail, the availability of all different types of knowledge. All these are prerequisites in the learning of programming. This paper shows that treating programming as a wicked problem can shed some light onto the question why not many students can be successful in programming.

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 comparison see the ‘\(\pi \)’ Pédagogies Innovantes initiative with its ‘FabLab’ at Bordeaux INP, http://pi.espe-aquitaine.fr/eirlab-high-tech-fablab/.

  2. 2.

    This was different in the early days of digital computing when the electronic hardware was scarce and expensive: in those days computer programmers were admired [13].

  3. 3.

    Which is in most textbooks explained only informally and by means of examples.

  4. 4.

    Recall Dijkstra’s striking analogon about calling surgery ‘knife science’ [6].

  5. 5.

    Shortage of formal-grammatical linguistic training in nowadays Secondary Schools (prior to University) might perhaps contribute to the above-mentioned problems.

References

  1. Bergin, S., Reilly, R.: Programming: Factors that Influence Success. ACM SIGCSE Bull. 37(1), 411–415 (2005)

    Article  Google Scholar 

  2. Chamillard, A.T.: Using student performance predictions in a computer science curriculum. In: ITiSE 2006 Proceedings, pp. 25–30. ACM (2006)

    Google Scholar 

  3. Chinnapen, M.: Mathematics learning forum: role of ICT in the construction of pre-service teachers’ content knowledge. Technical report (2003)

    Google Scholar 

  4. Cleland, C.E.: Recipes, algorithms, and programs. Mind. Mach. 11(2), 219–237 (2001)

    Article  MATH  Google Scholar 

  5. Conklin, J.: Wicked problems and social complexity. In: Dialogue Mapping: Building Shared Understanding of Wicked Problems. Wiley (2005)

    Google Scholar 

  6. Dijkstra, E.W.: On a Cultural Gap. Math. Intell. 8(1), 48–52 (1986)

    Article  MATH  Google Scholar 

  7. El-Zakhem, I., Melki, A.: Identifying difficulties in learning programming languages among freshman students. In: Proceedings of 7th International Technology Education and Development Conference, pp. 1202–1206, Valencia (2013)

    Google Scholar 

  8. Giannakopoulos, A.: How critical thinking, problem-solving and mathematics content knowledge contribute to vocational students’ performance at tertiary level: identifying their journeys. University of Johannesburg, Doctoral Dissertation (2012)

    Google Scholar 

  9. Green, A.J.K., Gillhooly, K.: Problem solving. In: Cognitive Psychology, Oxford University Press (2005)

    Google Scholar 

  10. Halland, K.: Assessing programming by written examinations. In: Gruner, S. (ed.) SACLA 2016. CCIS, vol. 642, pp. 43–50. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47680-3_4

    Chapter  Google Scholar 

  11. Hawi, N.: Causal attributions of success and failure made by undergraduate students in an introductory-level computer programming course. In: Computers and Education, pp. 1127–1136 (2010)

    Google Scholar 

  12. Hiebert, J., Lefevre, P.: Conceptual and Procedural Knowledge in Mathematics. Laurence Erlbaum Associates, Mahwah (1986)

    Google Scholar 

  13. Hoenicke, I.: Programmierer am Ende. Die Zeit 7/1995, 10 February 1995

    Google Scholar 

  14. Jenkins, T.: On the Difficulty of Learning to Program. In: Proceedings of 3rd Annual Conference of the LTSN Centre for Information and Computer Sciences, pp. 53–58 (2002)

    Google Scholar 

  15. Jonassen, D.H.: Evaluating Constructivistic Learning. In: Constructivism and the Technology of Instruction: a Conversation. Lawrence Erlbaum Associates (1992)

    Google Scholar 

  16. Kiblasan, J.A., Abufayed, B.F.A., Sehari, A.A., Madamba, F.U., Mhana, K.H.K.: Analyzing the learning style and study habit of students in the faculty of nursing of Al Jabal Al Gharbi University, Gharyan, Libya. Clin. Nurs. Stud. 4(2), 48–56 (2016)

    Google Scholar 

  17. Mazlack, L.J.: Identifying potential to acquire programming skill. Comm. ACM 23, 14–17 (1980)

    Article  Google Scholar 

  18. Mhashi, M.M., Alakeel, A.M.: Difficulties Facing Students in Learning Computer Programming Skills at Tabuk University: Recent Advances. Technical report (2013)

    Google Scholar 

  19. Robins, A., Rountree, J., Rountree, N.: Learning and teaching programming: a review and discussion. Comput. Sci. Educ. 13(1), 137–172 (2010)

    Google Scholar 

  20. Shavelson, R.J., Ruiz-Primo, M.A., Wiley, E.W.: Windows into the Wind. High. Educ. 49, 413–430 (2005)

    Article  Google Scholar 

  21. Sweller, J.: Cognitive load theory, learning difficulty, and instructional design. Learn. Instruct. 4, 295–312 (1994)

    Article  Google Scholar 

  22. Ventura, P.R.J.: Identifying predictors of success for an objects-first CS1. Comput. Sci. Educ. 15(3), 223–243 (2007)

    Article  MathSciNet  Google Scholar 

  23. Vincenti, W.: What Engineers Know and How they Know it: Analytical Studies from Æronautical History. John Hopkins University Press, Baltimore (1990)

    Google Scholar 

  24. Willman, S., Lindén, R., Kaila, E., Rajala, T., Laakso, M.J., Salakoski, T.: On study habits on an introductory course on programming. Comput. Sci. Educ. 34(8), 1–16 (2015)

    Google Scholar 

  25. Yaǧci, M.: Blended learning experience in a programming language course, and the effect of the thinking styles of the students on success and motivation. Turk. Online J. Educ. Technol. 4, 32–45 (2016)

    Google Scholar 

Download references

Acknowledgements

Thanks to two of my colleagues, A. Mathew and B. Esan, for having made their submissions and having added value to this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Apostolos P. Giannakopoulos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Giannakopoulos, A.P. (2017). Programming: A Wicked Subject?. In: Liebenberg, J., Gruner, S. (eds) ICT Education. SACLA 2017. Communications in Computer and Information Science, vol 730. Springer, Cham. https://doi.org/10.1007/978-3-319-69670-6_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69670-6_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69669-0

  • Online ISBN: 978-3-319-69670-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics