In this paper we make a case for 'Little Data', which is real-time, self-collected, idiosyncratic datasets maintained by individuals about themselves on myriad topics. We develop and offer a methodology for combining these messy, highly personal insights, to make deductive observations about collective practices. In testing this approach, we use…

This study was to review empirical studies on UAV usage in education. 43 papers were selected and reviewed with respect to the following dimensions: (1) publication time and source, (2) methodology in reviewed studies, and (3) main findings reported by researchers. The results showed that the highest number of published articles was between 2018…

In the United States, most local jurisdictions are challenged as they seek to maintain fiscal strength. But majority-Black jurisdictions are uniquely burdened due to legacy and contemporary racist and racialized policies and racial capitalism. Leaders in majority-Black locales make harsher budget trade-offs than those in majority-White…

The methodology and mathematical treatment of several classic multivariate methods for the analysis of spectroscopic data is demonstrated in a straightforward way that can be used as a basis for teaching an undergraduate introductory course on chemometric analysis. The multivariate techniques of classical least-squares (CLS), principal component…

Industrial drug discovery teams encompass scientists from multiple specialties and require participants to communicate effectively across disciplinary boundaries. In this paper, we present an undergraduate or graduate classroom simulation of this environment. Over a series of five workshops, student teams of mixed scientific backgrounds perform…

Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…

In an era of rapid geographical data acquisition, interpretations of remote sensing products are an integral part of many undergraduate geography degree schemes but there are fewer opportunities for collection and processing of primary remote sensing data. Unmanned Aerial Vehicles (UAVs) provide a relatively inexpensive opportunity to introduce…

The concept of data based decision making has been in the forefront of educational reform for decades. Despite the fact that data could better inform the educational decisions teachers make, some educators lack understanding of data and assessment. This could lead to misinterpretation and poor use of the scores. The purpose of this literature…

Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…

In this study, we used a paper-pencil questionnaire to investigate whether teachers, administrators, and parents differed in their preferences and accuracy when interpreting visual data displays for decision making. For the data analysis, we used nonparametric tests due to violations of distributional assumptions for using parametric tests. We…

The Government Performance and Results Modernization Act of 2010 defines major management challenges as programs or management functions that are vulnerable to waste, fraud, abuse, and mismanagement, and where a failure to perform well could seriously affect the ability of the U.S. Department of Education (Department) to achieve its mission or…

This profile describes the AIChE Concept Warehouse (CW) website, a community developed, web-based tool to decrease instructional barriers and to help faculty implement concept-based active learning in class. The CW provides three distinct but complementary functions: (a) a content repository, (b) an audience response system and learning management…

In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…

In this summary article, six recommendations for the design, implementation, and interpretation of educational evaluations are presented and discussed. These recommendations are based on common "threads" that run through most, if not all, of the papers included in this special issue. The recommendations concern (1) the need for awareness…

The Next-Generation Science Standards (NGSS) challenge primary teachers and students to work and think like scientists and engineers as they strive to understand complex concepts. Teachers and teacher educators can leverage what is already known about inquiry teaching as they plan instruction to help students meet the new standards. This…