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The road to finding interesting contexts for teaching data literacy at school

Published: 28 October 2020 Publication History

Abstract

Interest has a not negligible effect on learning motivation and success. Thereby, the development of interests in school subject contents is also affected by its context during teaching. Whether these contexts should be close to the everyday life of the students or more distant (uncommon) in order to be more interesting for them, is an open question. In this paper, a selection of 12 contexts for teaching data literacy is described and first findings are presented on how 7th and 8th grade students assess these contexts in relation to everyday life. This pilot study (N = 28) primarily serves to test the questionnaire and its comprehensibility, but also gives first insights on expected results for the upcoming main study.

References

[1]
Judith Bennett. 2016. Bringing Science to Life. In Teachers Creating Context-Based Learning Environments in Science, R. Taconis, P. den Brok, and A. Pilot (Eds.). SensePublishers, Rotterdam, 21--39.
[2]
Stephanie Carretero, Riina Vuorikari, and Yves Punie. 2017. DigComp 2.1: The Digital Competence Framework for Citizens with Eight Proficiency Levels and Examples of Use. Technical Report JRC106281. Publication Office of the European Union, Luxembourg.
[3]
Sebastian Habig, Janet Blankenburg, Helena van Vorst, Sabine Fechner, Ilka Parchmann, and Elke Sumfleth. 2018. Context Characteristics and Their Effects on Students' Situational Interest in Chemistry. International Journal of Science Education 40, 10 (2018), 1154--1175.
[4]
Suzanne Hidi and Judith M. Harackiewicz. 2000. Motivating the Academically Unmotivated: A Critical Issue for the 21st Century. Review of Educational Research 70, 2 (2000), 151--179.
[5]
Peter James Kpolovie, Andy Igho Joe, and Tracy Okoto. 2014. Academic Achievement Prediction: Role of Interest in Learning and Attitude towards School. International Journal of Humanities Social Sciences and Education (IJHSSE) 1, 11 (2014), 73--100.
[6]
Andreas Krapp. 2002. An Educational-Psychological Theory of Interest and Its Relation to SDT. In The Handbook of Self-Determination Research, Edward Deci and Richard M. Ryan (Eds.). University of Rochester Press, Rochester, NY, US, 405--427.
[7]
OECD. 2007. PISA 2006: Science Competencies for Tomorrow's World: Volume 1: Analysis. OECD Publishing, Paris, France.

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      WiPSCE '20: Proceedings of the 15th Workshop on Primary and Secondary Computing Education
      October 2020
      179 pages
      ISBN:9781450387590
      DOI:10.1145/3421590
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 28 October 2020

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      Author Tags

      1. data literacy
      2. familiarity of contexts
      3. students' interests

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