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Tips and Tricks for Changing the Way Young People Conceive Computer Science

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Informatics in Schools. Engaging Learners in Computational Thinking (ISSEP 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12518))

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Abstract

Many youths have an incomplete perception of what computer science is, which leads to a lack of interest in studies on information and communication technologies. However, there is a large gap to be filled in terms of jobs in this field. It is therefore important to make young people aware of what computer science is about and of the jobs associated with it, specifically at this age as they do not yet have a precise vision of their future career. To meet this challenge, workshops have been organized to expose 12 to 15-year-olds to the basic concepts of computer science and its subfields, such as programming, robotics, computer networking, artificial intelligence, and cybersecurity. Over three years, data were collected to measure the influence of hands-on workshops conducted in the classroom on young people’s conceptions. The workshops offered an introduction to a field of computer science poorly understood by most young people. Analysis of the data collected from more than 200 pupils across six different schools shows the important role played by both the themes addressed and the teacher’s discourse. In particular, comparisons with workshops conducted by experts highlight the problem of the lack of teacher training.

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Notes

  1. 1.

    “Le Pacte pour un Enseignement d’Excellence”.

  2. 2.

    https://school-it.info.unamur.be/.

  3. 3.

    “École Numérique”.

  4. 4.

    Available on the school-IT website.

  5. 5.

    http://microbit.org/.

  6. 6.

    https://www.makeblock.com/.

  7. 7.

    https://www.thymio.org/.

References

  1. Ben-Ari, M.: Constructivism in computer science education. J. Comput. Math. Sci. Teach. 20(1), 45–73 (2001)

    Google Scholar 

  2. Biggers, M., Brauer, A., Yilmaz, T.: Student perceptions of computer science: a retention study comparing graduating seniors with cs leavers. ACM SIGCSE Bull. 40(1), 402–406 (2008)

    Article  Google Scholar 

  3. Olivier, B., Smal, A., Frenay, B., Henry, J.: Intelligence Artificielle: Éduquer pour modifier la représentation qu’en ont les jeunes. In: Une école numérique pour émanciper? Colloque scientifique, Actes de la conférence, pp. 34–37 (March 2018)

    Google Scholar 

  4. Boraita, F., Henry, J., Collard, A.-S.: Developing a critical robot literacy for young people from conceptual metaphors analysis. In: Proceedings of the 2020 IEEE Frontiers in Education Conference (FIE) (2020)

    Google Scholar 

  5. Brinda, T., Puhlmann, H., Schulte, C.: Bridging ICT and CS: educational standards for computer science in lower secondary education. ACM SIGSE Bull. 41(3), 288–292 (2009)

    Article  Google Scholar 

  6. Carter, L.: Why students with an apparent aptitude for computer science don’t choose to major in computer science. ACM SIGCSE Bull. 38(1), 27–31 (2006)

    Article  MathSciNet  Google Scholar 

  7. Collard, A.S., Henry, J., Hernalesteen, A., Jacques, J.: Déconstruire les représentations médiatiques sur l’intelligence artificielle en jouant à “Qui est-ce?”. In: Actes du Colloque International TICEMED (2020)

    Google Scholar 

  8. Davis, J.: Conceptual change. In: Emerging Perspectives on Learning, Teaching, and Technology, vol. 19 (2001)

    Google Scholar 

  9. Greening, T.: Computer science: through the eyes of potential students. In: Proceedings of the 3rd Australasian Conference on Computer Science Education, pp. 145–154 (1998)

    Google Scholar 

  10. Grover, S., Pea, R., Cooper, S.: Remedying misperceptions of computer science among middle school students. In: Proceedings of the 45th ACM Technical Symposium on Computer Science Education, pp. 343–348 (2014)

    Google Scholar 

  11. Grover, S., Rutstein, D., Snow, E.: “What is a computer” what do secondary school students think? In: Proceedings of the 47th ACM Technical Symposium on Computer Science Education, pp. 564–569 (2016)

    Google Scholar 

  12. Gutierrez, F.J., Simmonds, J., Casanova, C., Sotomayor, C., Hitschfeld, N.: Coding or hacking? Exploring inaccurate views on computing and computer scientists among K-6 learners in Chile. In: Proceedings of the 49th ACM Technical Symposium on Computer Science Education, pp. 993–998 (2018)

    Google Scholar 

  13. Hansen, A.K., Dwyer, H., Harlow, D.B., Franklin, D.: What Is a Computer Scientist? Developing the Draw-A-Computer-Scientist-Test for Elementary School Students. AERA Online Paper Repository (2016)

    Google Scholar 

  14. Hansen, A.K., et al.: Assessing children’s understanding of the work of computer scientists: the draw-a-computer-scientist test. In: Proceedings of the 2017 ACM (SIGCSE) Technical Symposium on Computer Science Education, pp. 279–284 (2017)

    Google Scholar 

  15. Henry, J., Joris, N.: Maîtrise et usage des TIC: la situation des enseignants en Belgique francophone (2013). https://edutice.archives-ouvertes.fr/edutice-00875643/. Accessed 6 July 2020

  16. Henry, J., Joris, N.: Informatics at secondary schools in the French-speaking region of Belgium: myth or reality. In: International Conference on Informatics In Schools Situation, Evolution and Perspective, vol. 2016, p. 13 (2016)

    Google Scholar 

  17. Henry, J., Dumas, B.: Perceptions of computer science among children after a hands-on activity: a pilot study. In: 2018 IEEE Global Engineering Education Conference (EDUCON), pp. 1811–1817 (2018)

    Google Scholar 

  18. Henry, J., Hernalesteen, A., Dumas, B., Collard, A.S.: Que signifie éduquer au numérique? Pour une approche interdisciplinaire. In: Didapro 7 - DidaSTIC. De 0 à 1 ou l’heure de l’informatique à l’école (2018)

    Google Scholar 

  19. Henry, J., Smal, A.: Et si demain je devais enseigner l’informatique? Le cas des enseignants de Belgique francophone. In Didapro: De 0 à 1 ou l’heure de l’informatique à l’école, p. 129 (2018)

    Google Scholar 

  20. Henry, J., Hernalesteen, A., Collard, A.S.: Designing digital literacy activities: an interdisciplinary and collaborative approach. In: 2020 IEEE Frontiers in Education Conference (FIE) (2020)

    Google Scholar 

  21. Hewner, M., Guzdial, M.: Attitudes about computing in postsecondary graduates. In: Proceedings of the 4th International Workshop on Computing Education Research, pp. 71–78 (2008)

    Google Scholar 

  22. Joris, N., Henry, J.: L’enseignement de l’informatique en Belgique francophone: état des lieux. 1024: Bulletin de la Société Informatique de France 2, 107–116 (2014)

    Google Scholar 

  23. Limón, M.: On the cognitive conflict as an instructional strategy for conceptual change: a critical appraisal. Learn. Instr. 11(4–5), 357–380 (2001)

    Article  Google Scholar 

  24. Maier, S.: Misconception research and Piagetian models of intelligence. In: Proceedings of the 2004 Oklahoma Higher Education Teaching and Learning Conference (2004)

    Google Scholar 

  25. Martin, C.D.: Draw a computer scientist. ACM SIGCSE Bull. 36(4), 11–12 (2004)

    Article  Google Scholar 

  26. Rücker, M.T., Pinkwart, N.: Review and discussion of children’s conceptions of computers. J. Sci. Educ. Technol. 25(2), 274–283 (2016)

    Article  Google Scholar 

  27. Ruslanov, A.D., Yolevich, A.P.: College student views of computer science: opinion survey. J. Comput. Sci. Coll. 25(4), 142–148 (2010)

    Google Scholar 

  28. Shuttleworth, M.: Pretest-Posttest Designs (2009). https://explorable.com/pretest-posttest-designs. Accessed 7 July 2020

  29. Scott, P.H., Asoko, H.M., Driver, R.H.: Teaching for conceptual change: a review of strategies. In: Research in Physics Learning: Theoretical Issues and Empirical Studies, pp. 310–329 (1992)

    Google Scholar 

  30. Spieler, B., Oates-Indruchova, L., Slany, W.: Female Teenagers in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation (2019). arXiv preprint arXiv:1903.01190

  31. Taub, R., Ben-Ari, M., Armoni, M.: The effect of CS unplugged on middle-school students’ views of CS. ACM SIGCSE Bull. 41(3), 99–103 (2009)

    Article  Google Scholar 

  32. Yardi, S., Bruckman, A.: What is computing? Bridging the gap between teenagers’ perceptions and graduate students’ experiences. In: Proceedings of the 3rd International Workshop on Computing Education Research, pp. 39–50 (2007)

    Google Scholar 

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Correspondence to Julie Henry .

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A Results Tables

A Results Tables

Table 1. What is computer sciences?
Table 2. What is a computer?
Table 3. What can a computer do?
Table 4. What can’t a computer do?
Table 5. Positive points of computer jobs
Table 6. Negative points of computer jobs

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Lombart, C., Smal, A., Henry, J. (2020). Tips and Tricks for Changing the Way Young People Conceive Computer Science. In: Kori, K., Laanpere, M. (eds) Informatics in Schools. Engaging Learners in Computational Thinking. ISSEP 2020. Lecture Notes in Computer Science(), vol 12518. Springer, Cham. https://doi.org/10.1007/978-3-030-63212-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-63212-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63211-3

  • Online ISBN: 978-3-030-63212-0

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