We tested 10 data-based strategies to better identify student homelessness in Camden City School District, which has a student body from minoritized backgrounds. We operationalized strategies through a research-practice partnership, following the federal homelessness definition. Data span 5 years (2014-15 through 2018-19), including integrated…

Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better…

Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…

Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive policymaking, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using surveys for data-based decision-making. To better understand…

One of the challenges many learning scientists face is the laborious task of coding large amounts of video data and consistently identifying social actions, which is time consuming and difficult to accomplish in a systematic and consistent manner. It is easier to catalog observable behaviours (e.g., body motions or gaze) without explicitly…

There is a persistent gap in the representation of African American students in gifted programs in U.S. PK12 public schools. The students who are invited to gifted programs are overwhelmingly White. African American gifted students are under identified by their teachers in public schools in PK12 in the United States. Unawareness of cultural…

The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the…

Data and the use of data to make educational decisions have attained new-found prominence in K-12 education following the inception of high-stakes testing and subsequent linking of teacher evaluations and teacher-performance pay to students' outcomes on standardized assessments. Although the research literature suggested students' academic…

As public schools, charter schools are legally required to educate all students regardless of the difficulties they bring with them into the classroom. Nonetheless, many are concerned that the charter sector fails to educate all comers. Charter schools are often criticized for not enrolling similar proportions of students with disabilities as are…

The identification of children at-risk for reading problems can be costly and time-consuming. Previous research has indicated that teachers are relatively accurate in assessing children's overall reading ability. This study investigated the accuracy of kindergarten and first grade teacher rating scales in predicting children's reading…

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The…

The concepts of "explicit" and "implicit" (knowledge) are at the core of SLA studies. We take "explicit" as conscious and declarative (knowledge); "implicit" as unconscious, automatic and procedural (knowledge) (DeKeyser, 2003; R. Ellis, 2005a, 2005b, 2009; Hulstjin, 2005; Robinson, 1996; Schmidt, 1990, 1994). The importance of those concepts and…

This study applies a diagnostic errors framework to identify and classify mistakes that were made in a psychoeducational assessment of a bilingual student who was misidentified as a person with autism. Findings of diagnostic errors were categorized under four domains--faulty knowledge, faulty data gathering, faulty data processing, and faulty…

Advances in statistics provide new methods for analyzing practice data. These advances include person-centered methods (PCMs) that identify subgroups of research participants with similar characteristics. PCMs derive from a frame of reference that is similar to the risk factor perspective in practice. In practice, the delivery of services is often…

The purpose of this study was to examine teachers' social and emotional knowledge of students and how it functioned within the wider context of their daily work lives. Five elementary school physical education teachers participated in six rounds of observations with formal and informal interviews over one school year. Data were analyzed through…