Hundreds of thousands of undergraduates enroll in general education science courses to fulfill university core requirements. However, many of these lecture-based courses fail to foster high-level data literacy skills. This work details the design, implementation, and analysis of a new climate change-based classroom activity for college students…

This study examined the predictive power of students' demographic characteristics, reading attitudes, school characteristics, and teacher-informed reading activities on three metacognitive reading skills: understanding and remembering, summarizing, and assessing credibility and their influence on 15-year-old students' reading scores. The dataset…

How does the presence of information, or lack thereof, affect consumer behaviors and firm outcomes in the context of digital economy? My dissertation examines this broad question in three different empirical contexts. In the first chapter, I study how providing brand information influences the performance of job ads on an online job search…

The 2024 Articulation and Transfer Report provides an update on the progress made toward full articulation between public institutions in Tennessee. This report uses data from National Student Clearinghouse Student Tracker (NSC), the Tennessee Higher Education Commission's Student Information System (THECSIS), and the Tennessee Board of Regents…

Classroom observations are frequently conducted with the purpose of comparing the behavior of a target student to that of other peers within the same classroom. A variety of procedures may be utilized by researchers and practitioners to collect such data; however, little is known of the accuracy of estimates of behavior produced by such procedures…

Effect direction (evidence to indicate improvement, deterioration, or no change in an outcome) can be used as a standardized metric which enables the synthesis of diverse effect measures in systematic reviews. The effect direction (ED) plot was developed to support the synthesis and visualization of effect direction data. Methods for the ED plot…

Studies of human spatial behavior increasingly rely on a combination of audiovisual and geospatial recordings. So far, however, few analytical environments have offered opportunities for integrated and expedient annotation and analysis of the two. Here we report the first study aimed at integrating geospatial data in an environment developed for…

This paper describes the results of a study to compare contemporary e-journal licenses from two research universities in the United States and Spain in terms of e-reserves, interlibrary loan, text and data mining, authors' rights and treatment of copyright exceptions, usage statistics, governing law, data privacy, and obligations entailing…

We use the population decline of the monarch butterfly as a central phenomenon to support data analysis and scientific argumentation skills and to motivate inquiry and content learning in intermediate college-level biology courses. Students practice analyzing population trends, critically evaluate scientific articles that debate the causes and…

State education departments find themselves pressured to reduce costs while improving student performance. To do so, state education departments must measure the performance of each school district in an objective, data-informed manner. We present a benchmarking methodology and illustrate its application in New York State school districts. We…

The explosion in availability and variety of data requires learning experiences that reveal more of the data world faster and develop practical skills with digital technologies. Key high-level goals of the International Data Science in Schools Project (IDSSP) include having students continually immersed in the cycle of learning from data, and data…

An important skill in the modern workplace is the ability to learn new skills. However, students are ill-prepared for such self-directed requirements, as changes in academic curricula are typically outpaced by technological developments. To contribute to the efforts of educators to prepare students, this study adopts an experiential learning…

While there have been significant developments in the field of inclusive research with people with learning disabilities, there is limited knowledge about the ways inclusive research teams have conducted participatory data analysis. The authors argue this is inherently tied to the sensitivities involved in the inclusive research process. In this…

Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…

Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…