This Policy Snapshot defines and explores statewide longitudinal data systems, as well as relevant 2016 and 2017 legislation.

This case study presents insights from original research that is interdisciplinary and blends theories. The case study is focused on research on the putative relationship between sectarianism and Catholic schools in Scotland. The research methods included historical analysis of primary documents, Social Science theory, and education. The case…

We define pricing power as a college's ability to increase its net tuition revenue by raising its sticker-price for tuition. The greater is the positive effect of sticker-price increases on net tuition revenue, the greater is the pricing power. We gauge variation in the pricing power of private, non-profit baccalaureate colleges by estimating this…

Several analytic strategies exist for opening up the "black box" to reveal more about what drives policy and program impacts. This article focuses on one of these strategies: the Analysis of Symmetrically-Predicted Endogenous Subgroups (ASPES). ASPES uses exogenous baseline data to identify endogenously-defined subgroups, keeping the…

This short article describes an experimental radio-frequency identification (RFID) system designed to playfully explore the possibilities of object agency, in the form of "tweeting books". The use of web-enabled sensors is discussed in the context of the emerging field of Learning Analytics. The analysis of the "tweeting books"…

Learning cities/regions, as education systems, require the practice framework of community engagement scholarship that anchors systems change for data-driven decision making.

There is an increasing number of datasets with many participants, variables, or both, in education and other fields that often deal with large, multilevel data structures. Once initial confirmatory hypotheses are exhausted, it can be difficult to determine how best to explore the dataset to discover hidden relationships that could help to inform…

Two problems at two different abstraction levels of computational biology are studied. At the molecular level, efficient pattern matching algorithms in DNA sequences are presented. For gene order data, an efficient data structure is presented capable of storing all gene re-orderings in a systematic manner. A common characteristic of presented…

In this study, it is aimed to investigate the conducted researches in Turkey in the field of preschool science education in a comprehensive manner between the years 2016-2019. In this study, thematic content analysis method was used and the journals were examined which were indexed by DergiPark databases and published in social and human sciences.…

Accessible learning analytics available from the data within learning management systems, can assist with teaching and learning practices, but often this data is difficult to interpret. Learning analytics, specifically those presented in visual-form, can provide information that supports learners' reflection and guides them to the necessary…

Economic education is distributed unequally. Among U.S. undergraduates, women and underrepresented minority students collectively major in economics at 0.36 the rate that white, non-Hispanic men do. The authors establish a definition of full inclusion in economic education and use that definition to evaluate the status quo and to compare…

This study is intended to explore challenges in writing master theses from postgraduate English as Foreign Language (EFL) students' and supervisors' perspectives. To do so, 40 EFL postgraduate students and 10 supervisors were selected nonrandomly based on availability sampling from five major Iranian universities. Qualitative data were gathered…

The purpose of this study was to evaluate the acceptability and usability of an online training to prepare Expanded Food and Nutrition Education Program (EFNEP) educators to collect 24-hr dietary recalls using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24). Fifty-eight educators in 17 states were recruited to take the…

Introductory undergraduate courses present an opportunity to use disciplinary concepts in solving authentic problems. Making complex natural systems accessible to students through computer-based models allows them to practice making evidence-based predictions and communicate understanding. Despite the importance of modelling tools in formal…

Biostatistics courses are integral to many undergraduate biology programs. Such courses have often been taught using point-and-click software, but these programs are now seldom used by researchers or professional biologists. Instead, biology professionals typically use programming languages, such as R, which are better suited to analyzing complex…