IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03469-5.html
   My bibliography  Save this article

Enhancing students’ attitudes towards statistics through innovative technology-enhanced, collaborative, and data-driven project-based learning

Author

Listed:
  • Andreea Cujba

    (Universitat de Lleida)

  • Manoli Pifarré

    (Universitat de Lleida)

Abstract

Given the substantial body of educational research highlighting the significant influence of student attitudes on academic performance, particularly in disciplines like statistics where anxiety is prevalent, there is a need to investigate how innovative methodologies could reshape these attitudes. This paper will capitalize on the advancements from previously uncombined innovative methodologies of teaching statistics, such as project-based learning, data analytics, collaborative work, or the use of technology. Specifically, this paper reports on the design, implementation, and evaluation of innovative technology-enhanced, collaborative, and data-driven project-based learning, aiming to positively impact students’ attitudes towards statistics as a cornerstone to improve statistical knowledge. To achieve this, a quasi-experimental research study involving 174 secondary students was undertaken, with participants divided into an experimental group (EG) and a control group (CG). Results indicate a notable positive shift in attitudes among EG students following the intervention. The EG students decreased their anxiety after the intervention and, increased their affect and positive attitude toward using technology for learning statistics. By contrast, the CG students do not show any positive effect on their attitudes. These findings underscore the potential of the innovative instructional design implemented in this project to not only foster practical statistical problem-solving skills but also cultivate positive attitudes crucial for statistical competence. Educational implications are discussed.

Suggested Citation

  • Andreea Cujba & Manoli Pifarré, 2024. "Enhancing students’ attitudes towards statistics through innovative technology-enhanced, collaborative, and data-driven project-based learning," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03469-5
    DOI: 10.1057/s41599-024-03469-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03469-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03469-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ichdar Domu & Kinzie Feliciano Pinontoan & Navel Oktaviandy Mangelep, 2023. "Problem-based learning in the online flipped classroom: Its impact on statistical literacy skills," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 10(2), pages 336-343.
    2. Joan Garfield & Dani Ben‐Zvi, 2007. "How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics," International Statistical Review, International Statistical Institute, vol. 75(3), pages 372-396, December.
    3. Antonio-José Moreno-Guerrero & Marina Rondón García & Nazaret Martínez Heredia & Antonio-Manuel Rodríguez-García, 2020. "Collaborative Learning Based on Harry Potter for Learning Geometric Figures in the Subject of Mathematics," Mathematics, MDPI, vol. 8(3), pages 1-16, March.
    4. C. J. Wild & M. Pfannkuch, 1999. "Statistical Thinking in Empirical Enquiry," International Statistical Review, International Statistical Institute, vol. 67(3), pages 223-248, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heejoo Suh & Sohyung Kim & Seonyoung Hwang & Sunyoung Han, 2020. "Enhancing Preservice Teachers’ Key Competencies for Promoting Sustainability in a University Statistics Course," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    2. Joel B. Greenhouse & Howard J. Seltman, 2018. "On Teaching Statistical Practice: From Novice to Expert," The American Statistician, Taylor & Francis Journals, vol. 72(2), pages 147-154, April.
    3. Claudia Vásquez & Israel García-Alonso & María José Seckel & Ángel Alsina, 2021. "Education for Sustainable Development in Primary Education Textbooks—An Educational Approach from Statistical and Probabilistic Literacy," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    4. Claudia Vásquez & Ángel Alsina, 2021. "Analysing Probability Teaching Practices in Primary Education: What Tasks Do Teachers Implement?," Mathematics, MDPI, vol. 9(19), pages 1-21, October.
    5. Laura Muñiz-Rodríguez & Luis J. Rodríguez-Muñiz & Ángel Alsina, 2020. "Deficits in the Statistical and Probabilistic Literacy of Citizens: Effects in a World in Crisis," Mathematics, MDPI, vol. 8(11), pages 1-20, October.
    6. Jenna Hicks & Jessica Dewey & Yaniv Brandvain & Anita Schuchardt, 2020. "Development of the Biological Variation In Experimental Design And Analysis (BioVEDA) assessment," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    7. Seokmin Kang & Sungyeun Kim, 2022. "Lessons Learned from Topic Modeling Analysis of COVID-19 News to Enrich Statistics Education in Korea," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    8. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    9. Peter Petocz & Anna Reid, 2010. "On Becoming a Statistician—A Qualitative View," International Statistical Review, International Statistical Institute, vol. 78(2), pages 271-286, August.
    10. Săvoiu, Gheorghe, 2008. "The scientifiv way of thinking in statistics, statistical physics and quantum mechanics," MPRA Paper 13558, University Library of Munich, Germany.
    11. Patricia Belén Carrera & Luis R. Pino-Fan & Hugo Alvarado & Jesús Guadalupe Lugo-Armenta, 2021. "Practices of the Random Variable Proposed in the Chilean Mathematics Curriculum of Secondary Education," Mathematics, MDPI, vol. 9(19), pages 1-26, October.
    12. Ricardo Ocaña-Riola, 2016. "The Use of Statistics in Health Sciences: Situation Analysis and Perspective," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(2), pages 204-219, October.
    13. Jesús Guadalupe Lugo-Armenta & Luis Roberto Pino-Fan, 2021. "Inferential Reasoning of Secondary School Mathematics Teachers on the Chi-Square Statistic," Mathematics, MDPI, vol. 9(19), pages 1-20, September.
    14. Maria Penna & Mirian Agus & Maribel Peró-Cebollero & Joan Guàrdia-Olmos & Eliano Pessa, 2014. "The use of imagery in statistical reasoning by university undergraduate students: a preliminary study," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 173-187, January.
    15. Lisa Dierker & Jane Robertson Evia & Karen Singer-Freeman & Kristin Woods & Janet Zupkus & Alan Arnholt & Elizabeth G Moliski & Natalie Delia Deckard & Kristel Gallagher & Jennifer Rose, 2018. "Project-Based Learning in Introductory Statistics: Comparing Course Experiences and Predicting Positive Outcomes for Students from Diverse Educational Settings," International Journal of Educational Technology and Learning, Scientific Publishing Institute, vol. 3(2), pages 52-64.
    16. Anand Desai, 2008. "Quantitative methods, economics, and or models," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 640-669.
    17. Dina El Kayaly, 2013. "Towards more real-live teachings of business statistics: a Review of Challenges, Teaching Innovations and Strategies for Reform in Egypt," Working Papers 2013/21, Maastricht School of Management.
    18. Ángel Peiró-Signes & Óscar Trull & Marival Segarra-Oña & J. Carlos García-Díaz, 2020. "Attitudes Towards Statistics in Secondary Education: Findings from fsQCA," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    19. Joan Franco Seguí & Ángel Alsina & Claudia Vásquez, 2024. "Teaching Statistics for Sustainability across Contexts: Exploring the Knowledge and Beliefs of Teachers," Sustainability, MDPI, vol. 16(2), pages 1-22, January.
    20. Idris Djouahra, 2022. "Conceptual understanding of linear regression among economics students at the university center of Tipaza, Algeria," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 8(2), pages 66-83, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03469-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.