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Pangrazio, Luci; Selwyn, Neil; Cumbo, Bronwyn – Learning, Media and Technology, 2023
This paper explores the significance of schools' data infrastructures as a site of institutional power and (re)configuration. Using 'infrastructure studies' as a theoretical framework and drawing on in-depth studies of three contrasting Australian secondary schools, the paper takes a holistic look at schools' data infrastructures. In contrast to…
Descriptors: Data Use, Data Analysis, Data Collection, Information Management
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Ian Hardy – Professional Development in Education, 2024
Schooling in Australia has become subject to increased processes of data-based governance. This article draws upon the insights of an experienced teacher, 'Meriam', who, having taught more than 34-years over almost a 50-year span, reflected upon the nature of such changes. Utilising theorising in relation to datafication processes and…
Descriptors: Foreign Countries, Experienced Teachers, Teacher Attitudes, Educational Change
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Kinnear, Virginia – Statistics Education Research Journal, 2023
This paper describes the role of data and task context in young children's interpretation of and reasoning about data tables. A design-based descriptive study was conducted with fourteen 5-year-old children in their first year of formal schooling. A picture storybook provided the data context for a data modelling activity that focused on…
Descriptors: Statistics Education, Data Analysis, Tables (Data), Thinking Skills
Fitzallen, Noleine; Watson, Jane – Mathematics Education Research Group of Australasia, 2023
This paper reports on students' experiences of describing and representing variation in hypothetical data. Fifty-six students (8-9 years-old) experienced collecting and working with quantitative data for two years as part of a STEM education project. The task described here was an end-of-year survey question, with three parts about a hypothetical…
Descriptors: Elementary School Students, STEM Education, Foreign Countries, Data Analysis
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Peter K. Dunn – International Journal of Mathematical Education in Science and Technology, 2024
The use of group work projects is common in introductory statistics courses, including projects where students collect their own data. However, the COVID-induced lockdown at the start of 2020 meant that data collection was compromised. In this study, we examine a situation where students were permitted to use artificial (made-up) data for their…
Descriptors: Student Projects, Undergraduate Students, Statistics Education, COVID-19
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Clutterbuck, Jennifer – British Journal of Sociology of Education, 2022
Data infrastructures are suffused with stories of their past, present, and future that govern their use. This article draws on research into 'OneSchool', the state schooling data infrastructure used to manage student data in Queensland, Australia. The political, social, and technical histories of OneSchool's development are shown to govern its…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Governance
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Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
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Selwyn, Neil; Pangrazio, Luci; Cumbo, Bronwyn – British Journal of Educational Studies, 2022
This paper considers the subjectivation of students in light of the increasing amounts of digital data that are now being produced within schools. Taking a lead from critical data studies and the sociology of numbers, the paper draws on staff interviews in three Australian secondary schools to explore the various types of student data being…
Descriptors: Foreign Countries, Secondary School Students, Data, Secondary Schools
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Olivia F. McRae; Reyne Pullen; Alice Motion – International Journal of Science Education, Part B: Communication and Public Engagement, 2025
Carefully designed evaluations of informal science events are key to gaining insights into their efficacy and impact on audiences. However, traditional approaches to evaluation, such as interviews and questionnaires, can be disruptive to the audience experience of science events. There is therefore a need to develop and implement new evaluation…
Descriptors: Informal Education, Science Education, Evaluation Methods, Data Collection
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Schulz, Penelope; Prior, Julian; Kahn, Lewis; Hinch, Geoff – Journal of Agricultural Education and Extension, 2022
Purpose: This paper establishes the attitude of Australian livestock farmers toward the use of mobile applications (apps) in farmer extension, training and on-farm decision making. It also determines levels of technology adoption of smartphones and agriculture app use, as well as identifies factors that may influence app adoption. Methodology: A…
Descriptors: Handheld Devices, Computer Oriented Programs, Data, Information Management
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Daliri-Ngametua, Rafaan; Hardy, Ian; Creagh, Sue – Cambridge Journal of Education, 2022
This paper explores how trust in teacher professional judgment has been reconstituted through the globalised trends of performative accountability and reductive data-driven logics. The article draws upon empirical research from interviews with teachers and school leaders as well as observations of teacher preparation days, classroom and staff…
Descriptors: Trust (Psychology), Professional Autonomy, Data, Accountability
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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
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Pangrazio, Luci; Selwyn, Neil – Pedagogy, Culture and Society, 2021
The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…
Descriptors: Data Collection, Data Analysis, Technology Uses in Education, Data Processing
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Arantes, Janine Aldous – Journal for Critical Education Policy Studies, 2022
With the increasing presence of 'datafied' educational settings across Australia, critical components of teachers' educational practice and work have been quantified. Digital data collected through teachers' labour in and around the classroom links to educational practice and the commercial datafication of teachers' online persona. Often described…
Descriptors: Foreign Countries, Data, Data Collection, Work Environment
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McDowall, Ailie; Mills, Carmen; Cawte, Katie; Miller, Jodie – Asia-Pacific Journal of Teacher Education, 2021
A shifting policy landscape in Australian teacher education has led to the introduction of teaching performance assessment tasks in initial teacher education degrees, foregrounding data literacy practices. The aim of this research was to explore pre-service teachers' uses of data to inform and evaluate their teaching practice as demonstrated in…
Descriptors: Data Use, Decision Making, Data Interpretation, Multiple Literacies
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