This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…

The Every Student Succeeds Act (ESSA) requires that state education agencies (SEAs) conduct periodic resource allocation reviews (RARs) in districts that serve low-performing schools. The mandate represents a new opportunity for states and districts to examine the connection between resource allocation and academic outcomes, but the language of…

The 101 Historically Black Colleges and Universities (HBCUs) play an important role in higher education and in their local and regional economies. Among African Americans who obtained a doctorate in science, technology, engineering, or mathematics in 2005-2010, more than one-third earned their undergraduate degrees from an HBCU. The Government…

Emerging from projects that have involved working with primary school children in school-related research, this article offers suggestions of how drawing as a principal means of data gathering can be either constructive or of little value. The qualitative research projects discussed include investigations of school improvement and consideration of…

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…

The pedagogical modelling of everyday classroom practice is an interesting kind of evidence, both for educational research and teachers' own professional development. This paper explores the usage of wearable sensors and machine learning techniques to automatically extract orchestration graphs (teaching activities and their social plane over time)…

This study constitutes the first longitudinal exploration of consent to link survey and administrative data. It examines variations in consent over time and explores the influence of the respondents' characteristics (both observed and latent) and the impact of the interviewers on consent co-operation. Respondent inclination to consent is modelled…

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…

The purpose of this study was to explore a microanalysis technique for measuring instrumentalists' self-regulation tendencies during music practice. A secondary purpose was to investigate whether an intervention informed by the features of the microanalysis technique would increase the students' self-regulated learning tendencies. Three…

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…

Finding Earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. Current search engines in most geospatial data portals tend to induce end users to focus on one single data attribute. This approach largely fails to take account of users' multiple…

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…

Reverse credit transfer policies and programs are proliferating, and this chapter examines their potential and considers ways to measure and collect data on reverse credit transfer.