Challenging conceptual understanding in a complex system: supporting young students to address extended mathematical inquiry problems

Fielding-Wells, Jill; Makar, Katie

doi:10.1007/s11251-021-09564-3

Cited by 5 publications

(2 citation statements)

References 51 publications

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“…Fry and Makar ( 2021 ), for example, drew on the IDSSP cycle to illustrate how key ideas in data science education can be introduced in age-appropriate ways using the current curriculum in mathematics and digital technologies. Further examples of embedding data science in school mathematics have been illustrated in the literature from primary (e.g., Fielding & Makar, 2022 ; Fry et al, 2023 ) to secondary (Lee et al, 2022 ). We recognise that these examples come from well-resourced classrooms with adequate access to technology and experienced teachers.…”

Section: Literature and Theoretical Frameworkmentioning

confidence: 99%

Primary students’ learning about citizenship through data science

Makar

Fry

English

2023

ZDM Mathematics Education

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Much of the mathematics that children experience in school neglect the skills increasingly needed for citizenship, particularly the power of complex data to investigate and make sense of the world. We draw on the relatively new field of data science as a multi-disciplinary approach to investigate problems through analysis of massive, non-standard, incongruous and/or messy data. Our exploratory qualitative study had as its research question: What can children learn about citizenship when they engage with data science? The case study in this paper illustrated ways that children’s learning about citizenship were enriched through an age-appropriate data science investigation. The study analysed classroom video from a Year 4 classroom (aged 9–10) over six lessons that integrated curricula in digital technologies, health, and mathematics. In these lessons, the children generated and analysed non-standard data and debated social, well-being and privacy issues as they considered their activities in cyberspace. The video data were analysed using a framework based on critical citizenship education literature that examined dimensions of power, collective engagement, individual responsibility and action. Three key findings emerged. First, the case study highlighted skills in citizenship education developed through data science, positioning children as agents and advocates. Second, the study showed how a complex data investigation in citizenship education was achievable with primary children through meaningful curriculum integration. This is important given that problems that citizens address are typically interdisciplinary. Finally, the findings revealed a gap between data science skills and those developed in the mathematics curriculum, and recommend ways that the maths curriculum could be updated.

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Section: Literature and Theoretical Frameworkmentioning

confidence: 99%

Primary students’ learning about citizenship through data science

Makar

Fry

English

2023

ZDM Mathematics Education

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“…Many ways investigated to increase student understanding concept [17][18]. Firstly, the teacher guide student to solve some problem in individuals or groups [19][20]. Secondly, the teacher provides an appropriate model such as discovery, inquiry, project based and problem-based learning [21].…”

Section: Introductionmentioning

confidence: 99%

Measurement of Magnetic Field U (MaFiU) Utilizing Smartphone: A Practice Experiment for High School Students

Mardian,

Zaenab

2023

EJSMT

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In this study, we offer a low-cost laboratory practice for an introductory physics class laboratory for students of any grade level in science and engineering. This practice, in which a mobile phone (iOS, Android, or Windows) is used in conjunction with mini magnets (similar to what's found on refrigerator doors), a rule, paper, and a free application (app) which has to be downloaded and installed to measure magnetic fields by using smartphone's magnetic field sensor or magnetometer, was very well received by our pupils. This practice is completely free. The major aim of the exercise is for students to discover the influence of component x of the magnetic field produced by various magnets. We discover that the magnetic field's dependence on distance takes the form x-6, which is perfectly compatible with the theoretical analysis. The second purpose is to compute the magnetic field found in various types of household electronic devices.

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