Skip to main content

2023 | OriginalPaper | Buchkapitel

4. The Birth of a New Discipline: Data Science Education

verfasst von : Orit Hazzan, Koby Mike

Erschienen in: Guide to Teaching Data Science

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Data science is a young field of research and its associated educational knowledge—data science education—is even younger. As of the time of writing this book, data science education has not yet gained recognition as a distinct field and is mainly discussed in the context of the education of the disciplines that make up data science, i.e., computer science education, statistics education, mathematics education, and the educational fields of the applications domains, such as medical education, business analytics education, or learning analytics. There are, however, voice that call to integrate the relevant knowledge from these educational disciplines, and to form a coherent and integrative data science education body of knowledge, based on which data science programs can be designed. In this chapter, we present the story of the birth of the field of data science education by describing its short history. We focus on the main efforts invested in the design of an undergraduate data science curriculum (Sect. 4.2), and on the main initiatives aimed at tailoring a data science curriculum for school pupils (Sect. 4.3). We also suggest several meta-analysis exercises that examine these efforts (Sect. 4.4).

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Anderson, P., Bowring, J., McCauley, R., Pothering, G., & Starr, C. (2014). An undergraduate degree in data science: Curriculum and a decade of implementation experience. In Proceedings of the 45th ACM technical symposium on computer science education—SIGCSE’ (vol. 14, pp. 145–150). https://doi.org/10.1145/2538862.2538936 Anderson, P., Bowring, J., McCauley, R., Pothering, G., & Starr, C. (2014). An undergraduate degree in data science: Curriculum and a decade of implementation experience. In Proceedings of the 45th ACM technical symposium on computer science education—SIGCSE’ (vol. 14, pp. 145–150). https://​doi.​org/​10.​1145/​2538862.​2538936
Zurück zum Zitat Biehler, R., & Schulte, C. (2018). Paderborn symposium on data science education at school level 2017: The collected extended abstracts. Universitätsbibliothek. Biehler, R., & Schulte, C. (2018). Paderborn symposium on data science education at school level 2017: The collected extended abstracts. Universitätsbibliothek.
Zurück zum Zitat Bryant, C., Chen, Y., Chen, Z., Gilmour, J., Gumidyala, S., Herce-Hagiwara, B., Koures, A., Lee, S., Msekela, J., Pham, A. T., Remash, H., Remash, M., Schoenle, N., Zimmerman, J., Dahlby Albright, S., & Rebelsky, S. (2019). A middle-school camp emphasizing data science and computing for social good. In Proceedings of the 50th ACM technical symposium on computer science education, pp. 358–364. Bryant, C., Chen, Y., Chen, Z., Gilmour, J., Gumidyala, S., Herce-Hagiwara, B., Koures, A., Lee, S., Msekela, J., Pham, A. T., Remash, H., Remash, M., Schoenle, N., Zimmerman, J., Dahlby Albright, S., & Rebelsky, S. (2019). A middle-school camp emphasizing data science and computing for social good. In Proceedings of the 50th ACM technical symposium on computer science education, pp. 358–364.
Zurück zum Zitat Cassel, B., & Topi, H. (2015). Strengthening data science education through collaboration: Workshop report 7-27-2016. Arlington, VA. Cassel, B., & Topi, H. (2015). Strengthening data science education through collaboration: Workshop report 7-27-2016. Arlington, VA.
Zurück zum Zitat Chevallard, Y. (1989). On didactic transposition theory: Some introductory notes. In Proceedings of the international symposium on selected domains of research and development in mathematics education, pp. 51–62. Chevallard, Y. (1989). On didactic transposition theory: Some introductory notes. In Proceedings of the international symposium on selected domains of research and development in mathematics education, pp. 51–62.
Zurück zum Zitat De Veaux, R. D., Agarwal, M., Averett, M., Baumer, B. S., Bray, A., Bressoud, T. C., Bryant, L., Cheng, L. Z., Francis, A., Gould, R., Kim, A. Y., Kretchmar, M., Lu, Q., Moskol, A., Nolan, D., Pelayo, R., Raleigh, S., Sethi, R. J., Sondjaja, M., Tiruviluamala, N., et al. (2017). Curriculum guidelines for undergraduate programs in data science. Annual Review of Statistics and Its Application, 4(1), 15–30. https://doi.org/10.1146/annurev-statistics-060116-053930 De Veaux, R. D., Agarwal, M., Averett, M., Baumer, B. S., Bray, A., Bressoud, T. C., Bryant, L., Cheng, L. Z., Francis, A., Gould, R., Kim, A. Y., Kretchmar, M., Lu, Q., Moskol, A., Nolan, D., Pelayo, R., Raleigh, S., Sethi, R. J., Sondjaja, M., Tiruviluamala, N., et al. (2017). Curriculum guidelines for undergraduate programs in data science. Annual Review of Statistics and Its Application, 4(1), 15–30. https://​doi.​org/​10.​1146/​annurev-statistics-060116-053930
Zurück zum Zitat Dryer, A., Walia, N., & Chattopadhyay, A. (2018). A middle-school module for introducing data-mining, big-data, ethics and privacy using rapidminer and a hollywood theme. In Proceedings of the 49th ACM technical symposium on computer science education, pp. 753–758. https://doi.org/10.1145/3159450.3159553 Dryer, A., Walia, N., & Chattopadhyay, A. (2018). A middle-school module for introducing data-mining, big-data, ethics and privacy using rapidminer and a hollywood theme. In Proceedings of the 49th ACM technical symposium on computer science education, pp. 753–758. https://​doi.​org/​10.​1145/​3159450.​3159553
Zurück zum Zitat Gould, R., Suyen, M.-M., James, M., Terri, J., & LeeAnn, T. (2018). Mobilize: A data science curriculum for 16-year-old students (pp. 1–4). Iase-Web. Org. Gould, R., Suyen, M.-M., James, M., Terri, J., & LeeAnn, T. (2018). Mobilize: A data science curriculum for 16-year-old students (pp. 1–4). Iase-Web. Org.
Zurück zum Zitat Haqqi, S., Sooriamurthi, R., Macdonald, B., Begandy, C., Cameron, J., Pirollo, B., Becker, E., Choffo, J., Davis, C., Farrell, M., Lundahl, J., Marshall, L., Wychw, K., & Zheng, A. (2018). Data jam: Introducing high school students to data science. In Proceedings of the 23rd annual ACM conference on innovation and technology in computer science education, pp. 387–387. Haqqi, S., Sooriamurthi, R., Macdonald, B., Begandy, C., Cameron, J., Pirollo, B., Becker, E., Choffo, J., Davis, C., Farrell, M., Lundahl, J., Marshall, L., Wychw, K., & Zheng, A. (2018). Data jam: Introducing high school students to data science. In Proceedings of the 23rd annual ACM conference on innovation and technology in computer science education, pp. 387–387.
Zurück zum Zitat Hazzan, O., Dubinsky, Y., & Meerbaum-Salant, O. (2010). Didactic transposition in computer science education. ACM Inroads, 1(4), 33–37.CrossRef Hazzan, O., Dubinsky, Y., & Meerbaum-Salant, O. (2010). Didactic transposition in computer science education. ACM Inroads, 1(4), 33–37.CrossRef
Zurück zum Zitat Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S., & Wassong, T. (2018). Drafting a data science curriculum for secondary schools. In Proceedings of the 18th koli calling international conference on computing education research—koli calling’, vol. 18, pp. 1–5. https://doi.org/10.1145/3279720.3279737 Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S., & Wassong, T. (2018). Drafting a data science curriculum for secondary schools. In Proceedings of the 18th koli calling international conference on computing education research—koli calling’, vol. 18, pp. 1–5. https://​doi.​org/​10.​1145/​3279720.​3279737
Zurück zum Zitat Kang, W., & Kilpatrick, J. (1992). Didactic transposition in mathematics textbooks. For the Learning of Mathematics, 12(1), 2–7. Kang, W., & Kilpatrick, J. (1992). Didactic transposition in mathematics textbooks. For the Learning of Mathematics, 12(1), 2–7.
Zurück zum Zitat Mike, K., Hazan, T., & Hazzan, O. (2020). Equalizing data science curriculum for computer science pupils. In Koli calling’20: Proceedings of the 20th koli calling international conference on computing education research, pp. 1–5. Mike, K., Hazan, T., & Hazzan, O. (2020). Equalizing data science curriculum for computer science pupils. In Koli calling’20: Proceedings of the 20th koli calling international conference on computing education research, pp. 1–5.
Metadaten
Titel
The Birth of a New Discipline: Data Science Education
verfasst von
Orit Hazzan
Koby Mike
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-24758-3_4

Premium Partner