Sustainable development (SD) and science education have become interwoven categorical issues under the name of science education for sustainable development (SESD). Education can play a crucial role in merging the dimensions of SD as ecology, economy, and energy, along with society in a united holistic goal. Furthermore, it can provide the…

This study was conducted to explore US elementary teachers' perceptions of their experiences using rubrics as a tool for student self-assessment and metacognition (assessment for learning) to improve elementary students' achievement and their instructional decision-making at a private American elementary school in South Florida. The constructivist…

This study examines how school-level and student-level factors influence primary school dropout in Burkina Faso. School-level factors were found to have a moderate effect in grade three and a small effect in grade five, while student performance on end-of-term class tests significantly affected students' decisions to drop out in both grades. Other…

Data reporting in the Australian education system produces deficit-based comparisons of academic achievement between Indigenous and non-Indigenous students. Since 2009, data from the National Assessment Program -- Literacy and Numeracy (NAPLAN) have been used by the Australian government to allow it to report on 'Closing the Gap' policy. These…

A recent qualitative study by a team of researchers looked into how grade-level teams of teachers are thinking about causes and strategies based on looking at student performance data. What is interesting in these findings is how infrequently teachers attribute student results to instruction -- just 15% of the time. Teachers in this study were…

Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…

In this study, the relationship between differentiated instruction, as an element of data-based decision making, and student achievement was examined. Classroom observations (n = 144) were used to measure teachers' differentiated instruction practices and to predict the mathematical achievement of 2nd- and 5th-grade students (n = 953). The…

As Social and Emotional Learning (SEL) expands to focus on adolescent populations, the broadly accepted theoretical framework put forth by the Collaborative for Academic, Social, and Emotional Learning (CASEL) should be empirically tested for measurement utility. Using longitudinal data from the 4-H Study of Positive Youth Development, we first…

English language proficiency assessments (ELPA) are used in the United States to measure annually the English language progress and proficiency of English-language learners (ELLs), a subgroup of language minority students who receive language acquisition support mandated and largely funded by Title III (NCLB, 2001). ELPA proficient and…

This article develops a simple model of teacher value-added to show how efficient use of information across subjects can improve the predictive ability of value-added models. Using matched student-teacher data from North Carolina, we show that the optimal use of math and reading scores improves the fit of prediction models of overall future…

This technical report summarizes student-level analyses conducted with the SEL Skills Survey and the Student Climate Survey to determine if a single measure of students' SEL skill acquisition and perceptions of school climate is possible. A separate research brief of this report also was published. [This report was supported by St. David's…

This research brief highlights findings from the technical report (published separately). Student-level analyses were conducted with the SEL Skills Survey and the Student Climate Survey to determine if a single measure of students' SEL skill acquisition and perceptions of school climate is possible. [For the Technical Report, see ED629195.]

Diagnostic information is a centrepiece of educational decision making. Far-reaching decisions like placements within multi-tiered school systems may have a huge long-term impact on the achieved level of education. Therefore, such decisions should be substantiated or complemented by objective and prognostically valid information. To this end, we…

Accountability in education has prompted policy makers and practitioners to focus on data use for instructional and organizational decision-making. The popular media have seized on Value Added (VA) measures as a key type of data use for reforming U.S. schools. Among education researchers, however, there are both critics and proponents. We examined…

The last two decades have witnessed a vast expansion in the use of education data to improve classroom instruction and raise student achievement. Schools and districts face important challenges in implementing increased data use for instructional improvement. One key challenge is the need for teachers and administrators to have "data…