This qualitative case study explored how educators in a high-poverty, urban public high school used student achievement data to inform instruction. The sample consisted of one principal, five counselors, and ten teachers across multiple departments in a Los Angeles County high school recognized for its data-driven practices and collaborative…

This study aims to determine the views of social studies and geography teachers on their table, graphic, diagram interpretation and preparation skill (TGDI-PS). In according with this study, the research was designed in the mixed method, in which both quantitative and qualitative data collection instruments were used together. The research was…

In a recent "AstroNote," I described a simple exercise on the mass-luminosity relation for main sequence stars as an example of exposing students in a general education science course of lower mathematical level to the use of quantitative skills such as collecting and analyzing data. Here I present another attempt at a meaningful…

To speak to diverse audiences about how people learn to write and how writing works inside and outside the academy, we must conduct research across geographical, institutional, and cultural contexts as well as research that enables comparison when appropriate. Large-scale empirical research is useful for both of these moves; however, we must…

In this article we report on the findings of a project funded by the Australian Office for Learning and Teaching and entitled "Learning Analytics: Assisting Universities with Student Retention." While this project was primarily focused on retention as a potential outcome of learning analytics, its application could be related to the…

Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large…

Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…

Public interest in social-emotional learning is growing -- and the opportunities under the Every Student Succeeds Act have led many states and districts to consider the role of these skills in schools. As state and local leaders consider and commit to social-emotional learning programming in schools, they also have a responsibility to be…

Technology plays a vital role in career-readiness education, equipping students with the skills necessary for success in the modern workforce. This Spotlight will help readers learn more about workforce readiness after-school programs; explore strategies to get girls more interested in STEM careers; investigate the benefits of virtual work-based…

In November 2017, Scottish Ministers tasked a short life working group to develop a more consistent national approach to recording and monitoring incidents of bullying in schools. The group identified the Bullying and Equalities Module (BEM) within the SEEMiS system as the most appropriate tool for schools and local authorities to use to record…

Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…

Written by experienced leaders in gifted education, this book is a foundational guide for supervisors, administrators, and districts seeking to create culturally responsive and equity-focused gifted policies and programs. Engaging chapters supported by real-world vignettes and interactive contemplation corners outline key elements of culturally…

The urgent need to help students -- and particularly students who are Black or Hispanic -- recover from the negative effects of the coronavirus disease 2019 (COVID-19) pandemic on mathematics learning and access equitable opportunities in mathematics will require that teachers use every available tool to diagnose student learning needs and…

Real-world data are fundamental to modern teaching methodologies that aim to improve statistical knowledge and reasoning in students. Statistical information is encountered in everyday life, such as media articles and involves real-world contexts. However, information could be biased or (mis)represented and students should be concerned about the…

The digital evaluation field is a new area that arises in the core of education and studies highlight the importance of editing data as well as using ICT to drive internal school improvement. Data- Driven Decision Making (DDDM in advance) executes relatively simple models on carefully targeted data extracted through target questionnaires. This…