Many changes in teaching practices (such as introduction of e-assessment) are initiated by school management, or by a lead teacher, but have direct impact on the learning designs of others. However, models of teachers as innovators, conducting evidence-based inquiry into their students' learning, view the teacher as initiator of change in their…

"Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research" offers a truly balanced, inclusive, and integrated overview of the processes involved in educational research. This text first examines the general steps in the research process and then details the procedures for conducting specific types…

Governors plays a central role in ensuring that public educational institutions provide students with the knowledge and abilities required for a successful life and career. The systemic use of data from education and labor markets informs governors and other policymakers of the effectiveness and efficiency of their existing postsecondary systems…

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…

Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…

This study deals with the problem of how to collect genuine and useful data about science classroom practices, and preserving the complex and holistic nature of teaching and learning. Additionally, we were looking for an instrument that would allow comparability and verifiability for teaching and research purposes. Given the multimodality of…

Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…

The Secretary announces dates for State educational agencies (SEAs) to submit expenditure and revenue data and average daily attendance statistics on ED Form 2447 (the National Public Education Financial Survey (NPEFS)) for FY 2013, revisions to those reports, and revisions to prior fiscal year reports. The Secretary sets these dates to ensure…

This case study presents an overview of how multimodal social semiotic theory was combined with visual means of data collection and analysis. The visual methods used were content analysis and still and animated experiential landscape mapping. These methods and theory were used in a study that considered the impact of increasingly visual means of…

It is well known that dichotomizing continuous data has the effect to decrease statistical power when the goal is to test for a statistical association between two variables. Modern researchers however are focusing not only on statistical significance but also on an estimation of the "effect size" (i.e., the strength of association…