This study aims to investigate the pre-service teachers' experiences with online teaching, but also to uncover the challenges and opportunities for improving the distance education in the future. A qualitative research approach using phenomenology is adapted for the study. The participants were 18 pre-service teachers studying at the different…

SEL instruction is critical in schools because communities and educational leaders are starting to understand the interconnected nature of social-emotional learning and academic skills such as goal setting, managing emotions, maintaining positive relationships, showing empathy, and making responsible decisions (Data Quality Campaign, 2018). The…

Previous research shows that the direction of rating scales can influence participants' response behavior. Studies also suggest that the device used to complete online surveys might affect the susceptibility to these effects due to the different question layouts (e.g., horizontal grids vs. vertical individual questions). This article contributes…

Previous research has shown that question characteristics, such as the shape of rating scales, can affect how respondents interpret and respond to questions. For example, earlier studies reported different response distributions for questions employing rating scales in the form of a ladder and in the form of a pyramid. The current experiment,…

The poster is a promising mechanism for inclusive scholarship. Inclusive scholarship provides direct opportunities for inclusion and representation. Community partner and youth participants in an urban gardening program were engaged in program-related scholarship via involvement in creation of a poster and its presentation at a community…

The Every Student Succeeds Act (ESSA) preserves the most positive legacy of the No Child Left Behind era--more accurate and transparent data about the performance of all students--and helps states take their efforts to use data in support of student learning to the next level. The Data Quality Campaign (DQC) appreciates the opportunity to provide…

This white paper explores the variation among Part C exiting categories as reported by the 50 states and Washington, D.C., using 2012-13 exiting data. Examining factors that may contribute to variation can lead to improved Part C exiting data quality within and across states. Examination of the Part C exiting data shows that 8 of the 10 categories…

Quality data allow programs to provide context and meaning to research, evaluation, and accountability efforts and provides evidence to evaluate and demonstrate the effectiveness of programs. Data integration, the process of taking data from disparate systems, combining them, and transforming them into something meaningful, can increase data…

In this Methods Showcase Article, we outline a workflow for running behavioral experiments online, with a focus on experiments that rely on presentation of complex stimuli and measurement of reaction times, which includes many psycholinguistic experiments. The workflow that we describe here relies on three tools: OpenSesame/OSWeb (open source)…

Every 2 years, Education requires nearly all school districts to report incidents of restraint and seclusion. Generally, restraint is restricting a student's ability to move, and seclusion is confining them alone in a space they cannot leave. The House Committee on Appropriations' explanatory statement accompanying the Consolidated Appropriations…

In this paper, an empirical comparison of three state-of-the-art classifier methods (artificial immune recognition systems, Lazy-K Star, and random tree) to predict teachers' ability to adapt in a classroom environment is carried out. Two educational databases are used for this task. First, measures collected in an academic context, especially…

A growing body of literature in low- and middle-income countries is challenging the long-held assumption that the respondent and interviewer should be strangers. We conducted a qualitative study in Burkina Faso comprised of in-depth interviews and focus group discussions to explore interviewers' experiences of collecting data on sexual and…

Although an increasing number of ethical data science and AI courses is available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on algorithmic development or data analysis. In this paper we recount a recent experience in developing and…

Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…

This year saw unprecedented disruptions to schools and to students' lives across the country. With a global pandemic shutting school doors, causing economic instability, and highlighting the impact of systemic racism, policymakers and education leaders are looking to data to help them respond and recover. The Data Quality Campaign's 2020 research…