The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

Institutions of higher education both value and need student assessment data. Faculty, as seen in numerous studies, however, have generally negatively received the formalization and reporting of student assessments to gather this assessment data. If we could better understand faculty experiences and perceptions of student assessment data within…

Although studies such as Wadsworth, Robinson, Beckham, and Webster (2011) as well as Goh, Hannon, Webster, Podlog, and Pillow (2014) have focused on the impact of body breaks and cognitive abilities or tasks, this study investigates the connection between body breaks built into classroom routine and growth mindset education on students' perception…

Privacy and surveillance are pervasive words not only in higher education but also in many areas in our life. We use and hear them often while shopping online, reading the news, or checking the policies and terms of websites. In this study, I highlight the challenges of data collection and surveillance in education, specifically, in online…

Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market segmentation, customer relationship management, and…

IPEDS graduation rates have become de facto means for higher education accountability in the United States, used by the federal government, state and local agencies, non-profits and media to compare and rank institutions. IPEDS uses a limited subset of students, as well as an institutional perspective to measure graduation rate. Under this model,…

The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…

A Massive Open Online Course (MOOC) is a course that is offered fully online and is usually open for enrollment by any individual, with no limit on the number of participants. MOOCs are a popular resource for learning worldwide with over 23 million new learners registering for MOOCs in 2017 alone. Coursera, the most popular MOOC platform, has…

The healthcare environment is becoming increasingly dependent on health information technology, with providers, patients, payers, and other players producing and sharing information to improve healthcare delivery. This, in turn, has brought the issue of Health Information Infrastructure (HII) to the forefront of policy, design, and law. While…

Terrorism is a complex and evolving phenomenon. In the past few decades, we have witnessed an increase in the number of terrorist incidents in the world. The security and stability of many countries is threatened by terrorist groups. Perpetrators now use sophisticated weapons and the attacks are more and more lethal. Currently, terrorist incidents…

This dissertation examines conversations and attitudes about mental health in Twitter discourse. The research uses big data collection, machine learning classification, and social network analysis to answer the following questions (1) what mental health topics do people discuss on Twitter? (2) Have patterns of conversation changed over time? Have…

Introduction: Cancer registries collect tumor-related data to monitor incident rates and support population-based research. A common concern with using population-based registry data for research is reporting timeliness. Data timeliness have been recognized as an important data characteristic by both the Centers for Disease Control and Prevention…

The idea of data use as an educational reform strategy has gained significant traction in recent years, but there is limited research that illuminates what actually happens when teachers use data in practice. This study investigates the ways a group of middle school mathematics teachers used data in their classrooms and as part of an action…

Digital ecosystems are one of the most important strategic issues in the current digital economy. Digital ecosystems are dynamic and generative. They evolve as new firms join and as heterogeneous systems are integrated into other systems. These features digital ecosystems determine economic and technological success in the competition among…

The purpose of this study was to understand how shared norms are developed in the early phase of multicultural team (MCT) formation. The development of shared norms is recognized as critical to MCTs' contributions to organizations, and they are a result of the cognitive adjustment of the team members in recognition of their differences (Brandl…