Child Trends and Start Early have partnered to better understand what early childhood systems builders need to build and support more equitable systems. The briefs in this series, called Conversation Starters, define a new framework for early childhood systems that center families' experiences and raise key considerations and next steps for…

The linear dependence of age, period, and birth cohort is a challenge for the analysis of social change. With either repeated cross-sectional data or conventional panel data, raw change cannot be decomposed into over-time differences that are attributable to the effects of common experiences of alternative birth cohorts, features of the periods…

This book is a call to action for English and English Language Arts teachers who understand that data are not numbers alone, learning is impossible to quantify, and students are our very best teachers. Writing teacher Angela Stockman shows us how pedagogical documentation--the practice of making learning visible, capturing what is seen and heard,…

When (professional) authors work on their texts, they frequently 'jump' around their document to make textual changes and create new content at a wide range of locations. Currently, a range of linearity measures are available to capture this, some of which requiring time-intensive manual coding. Linearity metrics are commonly calculated based on…

Although it has long been acknowledged that interviewers play a crucial role in the survey data collection process, there is little research concerning interviewer effects on how respondents perceive the interview. We investigate whether interviewer effects exist regarding how much respondents report having enjoyed the interview and whether these…

Data are fundamental to Learning Analytics (LA) research and practice. However, the ethical use of data, particularly in terms of respecting learners' privacy rights, is a potential barrier that could hinder the widespread adoption of LA in the education industry. Despite the policies and guidelines of privacy protection being available worldwide,…

Large-scale assessments are rich sources of data that can inform a diverse range of research questions related to educational policy and practice. For this reason, datasets from large-scale assessments are available to enable secondary analysts to replicate and extend published reports of assessment results. These datasets include multiple imputed…

Egocentric networks represent a popular research design for network research. However, to what extent and under what conditions egocentric network centrality can serve as reasonable substitutes for their sociocentric counterparts are important questions to study. The answers to these questions are uncertain simply because of the large variety of…

This systematic review presents the first synthesis of the scientific literature on estimating school and teacher/class effects on student academic performance using random-effects (RE) models with three or more levels. The review delves into the theoretical framework underpinning the estimation of educational effects, the associated statistical…

The "Building Your Research Data Management Toolkit" was developed to provide introductory research data management skills training to liaisons in academic libraries. This paper assesses the participants' perceived change in knowledge, behaviors and attitudes as a result of participation in the RoadShow program. Long term changes in…

The application of big data in education sparks debates on its effects. Researchers explore its impact on learning outcomes, with divergent views on neural networks' potential and negative consequences. This study assesses big data's influence on basic literacy skills in music education for 5th graders. Using clustering and k-density analyses,…

Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…

The community-based learning model via game simulation to promote community public health diagnosis skills, or CBL model via game simulation, is a research tool that was devised based on the concepts of public health diagnosis using the seven community tools (geo-social mapping, genogram, community organization chart, local health system,…

While citizen science and other participatory approaches to science are increasingly used in schools to promote student science learning, rarely are these students supported to collect, analyze, and share their data with meaningful outside audiences. In this study, we used a Design-Based Research approach to iteratively develop and examine an…

The purpose of this document is to help education agencies identify the types of workforce data that are most useful for understanding immediate teacher shortages and monitoring educator supply and demand, as well as best practices for using these data. This resource supplements the information in the "Forum Guide to Staff Records"…