While research on Learning Analytics (LA) is plentiful, it often prioritises perspectives on LA systems over the practical ways instructors use data to analyse and refine the learning process per se. The present study addresses this inadequacy by investigating how student data is employed by educators in UK Higher Education Institutions (HEIs) and…

This case study introduces critical interpretive synthesis (CIS) as a systematic approach for reviewing and synthesizing a diverse body of research evidence to develop fresh insights on an issue of concern. Unlike aggregative forms of systematic review, which are more familiar in the field of education, CIS does not require commensurability…

Why we need better reports of teacher professional development interventions for finding out what works where: Worldwide, billions of dollars are invested yearly in the professional development of in-service teachers ($14 billion in the USA alone, as of 2014; Bill & Melinda Gates Foundation, 2014). This makes the question of what effects TPD…

Online ethnography is a research approach that adapts traditional ethnographic methods for studying communities that exist online. This case study reports on an online ethnography of Webheads in Action (WiA), an online community of English language teachers, founded in 2002. In this online ethnographic research, I examined how the Webheads…

Data-based individualization (DBI) is a process of collecting and analyzing data on students' response to intervention and then making intervention adaptations accordingly. Although this process can lead to better student outcomes, very few teachers are trained in the components of DBI, particularly in relation to behavior. Improving practice…

The goal of the university professional development course BINE is to encourage participants to address education for sustainable development (ESD) in a reflective way. The main aims are for the participants to learn about action research and to reflect and implement ESD in their work and institutions. This paper briefly describes the concepts of…

Ongoing professional development is a critical component of high-quality early childhood education systems. To guide the content of such professional development, teacher and classroom quality assessments are often used. These assessments generally address universal or tier 1 instruction but omit information to guide teachers' practices to support…

Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual…

The report "How a Federal Grant Program Is Training and Supporting Educators of English Learners" examines the extent to which National Professional Development (NPD) grantees implemented their projects in ways aligned with program objectives, drawing primarily on a survey of all 2016 and 2017 NPD grantees. This document provides…

The use of data to explain natural phenomena has been a core feature of science education, and science educators continue to call for an increased emphasis on teaching data practices. This mixed methods design-based research study adds to the growing body of research on data practices in science by explaining the learning trends of science…

Teachers are often called upon to identify students at behavioral and emotional risk by completing a variety of assessment tools. However, many teachers may lack the requisite skills to reliably identify students at risk or use data derived from assessment tools to inform intervention. A series of trainings was developed to improve decision making…

Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…

Utilizing effective data collection methods to track student progress on Individual Education Program (IEP) goals is essential to quality programming and meeting each student's specific needs. This study surveyed special education teachers in four midwestern states to understand IEP data collection methods and assessment training. Results…

This study aimed to visualize self-regulated learning (SRL) behaviors performed by users from an online teacher professional development platform called the EdHub Library using the pm4py algorithm in Python to parse event data during the first 30 days of the school year and the first 90 days of the COVID-19 pandemic in March 2020. Process mining…

The role of faculty in gathering, analyzing and using student learning data is growing and changing, but still underrepresented in the higher education research literature. While faculty are often expected and required to participate in assessment work, some faculty go beyond assessment work as service to take leadership roles. Using data…