Skip to main content
SpringerLink
Log in

A Bayesian Analysis of Adolescent STEM Interest Using Minecraft

  • Conference paper
  • First Online:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky (AIED 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1831))

Included in the following conference series:

  • 2505 Accesses

Abstract

Minecraft continues to be a popular digital game throughout the world, and the ways in which adolescents play can provide insight into their existing interests. Through informal summer camps using Minecraft to expose middle school students to concepts in astronomy and earth science, we collected self-reports of STEM and Minecraft interest, as well as behavioral log data through player in-game interactions. Finding relationships between in-game behaviors and individual interest can provide insight into how educational experiences in digital games might be designed to support learner interests and competencies in STEM. Bayesian model averaging of data across camps was implemented to address the relatively small sample size of the data. Results revealed the important role of existing interest and knowledge for developing and sustaining interest.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
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

References

  1. Baek, Y., Min, E., Yun, S.: Mining educational implications of minecraft. Comput. Schools 37(1), 1–16 (2020). https://doi.org/10.1080/07380569.2020.1719802

    Article  Google Scholar 

  2. Fastrich, G.M., Murayama, K.: Development of interest and role of choice during sequential knowledge acquisition. 16 (2020)

    Google Scholar 

  3. Hidi, S.E., Ann Renninger, K.: On educating, curiosity, and interest development. Current Opinion Behav. Sci. 35, 99–103 (2020). https://doi.org/10.1016/j.cobeha.2020.08.002

    Article  Google Scholar 

  4. Hinne, M., Gronau, Q.F., van den Bergh, D., Wagenmakers, E.-J.: A conceptual introduction to Bayesian model averaging. Adv. Methods Pract. Psychol. Sci. 3(2), 200–215 (2020)

    Article  Google Scholar 

  5. Hulleman, C.S., Thoman, D.B., Dicke, A.-L., Harackiewicz, J.M.: The promotion and development of interest: the importance of perceived values. In: O’Keefe, P.A., Harackiewicz, J.M. (eds.) The Science of Interest, pp. 189–208. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55509-6_10

    Chapter  Google Scholar 

  6. König, C., van de Schoot, R.: Bayesian statistics in educational research: a look at the current state of affairs. Educ. Rev. 70(4), 486–509 (2018). https://doi.org/10.1080/00131911.2017.1350636

    Article  Google Scholar 

  7. Maltese, A.V., Tai, R.H.: Pipeline persistence: examining the association of educational experiences with earned degrees in STEM among U.S. students. Sci. Educ. 95(5), 877–907 (2011). https://doi.org/10.1002/sce.20441

    Article  Google Scholar 

  8. Ann Renninger, K., Bachrach, J.E., Hidi, S.E.: Triggering and maintaining interest in early phases of interest development. Learn. Cult. Soc. Interact. 23(2019), 100260 (2019). https://doi.org/10.1016/j.lcsi.2018.11.007

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Illinois Urbana-Champaign, Champaign, USA

    Matthew Gadbury & H. Chad Lane

Authors
  1. Matthew Gadbury
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. H. Chad Lane
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Matthew Gadbury .

Editor information

Editors and Affiliations

  1. University of Southern California, Los Angeles, CA, USA

    Ning Wang

  2. University of British Columbia, Vancouver, BC, Canada

    Genaro Rebolledo-Mendez

  3. University of Leeds, Leeds, UK

    Vania Dimitrova

  4. North Carolina State University, Raleigh, NC, USA

    Noboru Matsuda

  5. UNED, Madrid, Spain

    Olga C. Santos

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Gadbury, M., Chad Lane, H. (2023). A Bayesian Analysis of Adolescent STEM Interest Using Minecraft. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-36336-8_60

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36335-1

  • Online ISBN: 978-3-031-36336-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation