Schools now face considerable pressure to be using educational data to inform decision-making and become more efficient. Key to this rise of the 'data-driven' school is the increased use of digital technologies -- with computer-based data processing fuelling hopes for the technology-driven 'smart schooling' and a general 'datafication' of…

The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…

This paper reports results from an Australian study into how teachers see features of quality in student work and connect these to next-step teaching. Data were drawn from a national 3 year project investigating teacher judgement using A-E standards. The project developed scaled exemplars of authentic student written performance assessments to…

This article examines digital data use within three Australian secondary schools, drawing on in-depth interviews with 50 school staff to explore tensions between: (i) established logics of "data-driven" schooling; and (ii) emerging "datafied" practices associated with digital systems, platforms and devices. Using sociological…

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…

Evidence based decision making is essential for enabling improved student learning. Teacher motivations and beliefs about the types and use of data are critical determinants of decision making. Our research explored the types of data teachers use and consider valuable when measuring improvement in student learning. Findings from 294 teachers from…

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…

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…

In this article, we contest globalised notions of data as 'universally' beneficial, necessary and 'evidence-based'. We do so by drawing upon narrative accounts of the problematic ways data impact educators researching and working in university and schooling settings over time and in varied national contexts. We reveal how data are transient and…

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…

Technology is omnipresent in our rapidly changing digital world. Capitalising on these technologies is paramount for education systems to support a modern workforce. This study presents a review of 10 countries, highlighting how different public education systems have integrated digital technologies for teaching and learning. These education…

This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…

Although the use of data is important for informing inclusive practice, research into Australian early childhood educators' data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written…

Curriculum mapping is a necessary process for establishing evidence of where learning outcomes are taught and assessed in higher education programmes. Mapping ensures the credibility of the institution and programme offerings and provides students with a clear understanding of what they can expect to learn and achieve during their academic…

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…