The usefulness of the online Skype system for qualitative data collection has been well documented, but its application in qualitative data analysis has been largely ignored. This article provides insight into the use of Skype in the context of interdisciplinary team research, with a focus on the analytical phase of a qualitative investigation.…

Organizations interested in increasing their user experience (UX) capacity lack the tools they need to know how to do so. This dissertation addresses this challenge via three major research efforts: 1) the creation of User Data Spectrum theory and a User Data Spectrum survey for helping organizations better invest resources to grow their UX…

Education systems around the world are now witness to a variety of educational changes and improvements, numerous social and economic disruptions, and the onset of rapid technological advances that were unimaginable in the past. Within this tsunami of change, innovative teaching and learning practices that employ emerging technologies are sweeping…

Community foundations have a lot of competition for donors these days. Growth in commercial donor-advised products such as the Fidelity Charitable Gift Fund has exploded, and even churches, universities, and United Way chapters have developed their own donor-advised fund options. As a result, many community foundations are working hard to…

This study aimed to investigate pre-service pre-school education teachers' data representation activities in terms of their relation to real life, the appropriateness of the data that the children can collect, the conformability of the graphs required for the data representation to the children's level, and the clarity of open-ended questions…

After the 2008 housing loan crisis, many houses were foreclosed/abandoned in Michigan, and specifically Grand Rapids (GR). Our study provides a collaborative and scalable model for collecting parcel-level housing data, in a southeast GR neighborhood within 15 U.S. Census Blocks. Grand Valley State University Geography faculty and students…

Although research and policy suggest science and mathematics teachers should attend to their student's thinking during instruction, our field has inadequately defined what that means in relation to our ultimate goals for the practice. Here I present a theoretical argument that, in making their definitions, researchers should leverage the ways…

This qualitative study focuses on capturing students' understanding two visualizations often utilized by learning analytics-based educational technologies: bar graphs, and line graphs. It is framed by Achievement Goal Theory--a prominent theory of students' academic motivation--and utilizes interviews (n = 60) to investigate how students at risk…

Big data analysis involves the examination of large sets of data in order to uncover patterns and trends. Within the social studies or history classroom, such analyses can be effective for gaining insights into historical trends over time or across geographical regions. For instance, using simple technology tools, students can perform word…

Micrometeorites originate from small pieces of rock from space colliding with the Earth's atmosphere at high velocity, such as the Perseid meteors which hit the atmosphere at 60 km/s. When they do so, they burn up, causing a flash of light that we see as a meteor. Many groups have been successful collecting these particles using various devices.…

This study examined the impact of an intervention, focused on professional noticing of children's conceptual development in whole number and arithmetic reasoning, on preservice elementary teachers' (PSETs') professional noticing skills, attitudes toward mathematics, and mathematical knowledge for teaching mathematics. A video-based professional…

Objective: Despite significant attention from federal and state policy makers, postsecondary completion rates in the United States remain stratified across race and socioeconomic background. This study examines a community-based college readiness program for underrepresented students from low-resource neighborhoods in Chicago, Illinois. Method:…

Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…

Data collection is a fundamental skill in science education, one that students generally practice in a controlled setting using equipment only available in the classroom laboratory. However, using smartphones with their built-in sensors and often free apps, many fundamental experiments can be performed outside the laboratory. Taking advantage of…

In this paper, the authors address learning analytics and the ways academic libraries are beginning to participate in wider institutional learning analytics initiatives. Since there are moral issues associated with learning analytics, the authors consider how data mining practices run counter to ethical principles in the American Library…