Early childhood research and policy have promoted the use of language and literacy assessment data to inform instruction. Yet, there is a limited understanding of preschool teachers' data practices and sensemaking, particularly when considered from the perspectives of practicing teachers. In this multicase study, we used a phenomenological…

There is an extensive need for school systems to reliably assess the data literacy and data use skills of their educators. To address this need, the current study seeks to refine the NU Data Knowledge Scale (NUDKS) for assessing teacher data literacy for classroom data. A data-based decision-making framework provides the theoretical underpinnings…

The study aimed to establish an assessment model for mathematics teachers' knowledge of students' misconceptions in the "Space and Shape" domain, develop the testing tool, investigate and analyse the overall and differences in performance, and propose suggestions for improvement. The assessment model included content knowledge and…

Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…

Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…

Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…

Teacher-level factors are theoretically linked to student outcomes in data-based instruction (DBI; Lembke et al., 2018). Professional development and ongoing support can increase teachers' knowledge, skills, and beliefs related to DBI, as well as their instructional fidelity (McMaster et al., 2020). However, less is known about how each of these…

Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…

Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…

Educational data use practices have a positive impact on evidence-driven school development. Although schools have an abundance of data available to make evidence-driven decisions, it might not be used to its full potential. This paper aimed to explore Estonian teachers' perceptions of data use that support evidence-driven school development. In…

This paper explores the self-tracking information literacy practices of LGBTQ+ students, how the practices connect to LGBTQ+ identities, and whether these practices are perceived as empowering. Six semi-structured interviews were conducted with students who identified as LGBTQ+ self-trackers. Four previously discovered dimensions of IL in…

Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…

Matters of data privacy related to social media are increasingly relevant for educators as happenings such as the 2018 Cambridge Analytica scandal have attracted public attention. Many educators use social media for professional purposes, including with their students and should, therefore, be knowledgeable regarding data privacy issues that…

The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed…

The purpose of this study was to observe and measure the impact of a professional development course on community college participants' self-reported levels of data literacy and equity-mindedness, to ultimately improve upon institutional policies and procedures to help those involved use data in more equity-oriented ways. We used a mixed methods…