Pure synonymy is a myth. This is true in the lexicon of a language as well as its grammar. As such, why do grammars of Dutch label the following two forms below as synonymous? Unsplit: "Daarmee heb ik een probleem." Therewith have I a problem. Split: "Daar heb ik een probleem mee." There have I a problem with. "I have a…

The purpose of this qualitative case study is an exploratory study to examine what contributes to the failure of the persistence of non-residential single-parents pursuing a college degree. The participants of this study included ten non-residential single-parent students between the ages of 21 and 50. The site of the interviews was in the…

Large scale product and service reviews proliferate and are commonly found across the web. The ability to harvest, digest and analyze a large corpus of reviews from online websites is still however a difficult problem. This problem is referred to as "opinion mining." Opinion mining is an important area of research as advances in the…

The higher education sector today faces an environment unlike any it has seen before. Serving a wide variety of internal and external stakeholders and facing diverse and fast-changing economic, social, and political pressures, universities can benefit from corporate-like approaches such as the use of analytics to inform strategic decision-making…

The purpose of this dissertation is to illuminate the missing voices of historically black college and university dance programs in the national discussion on the history and development of dance in American higher education. The methodology included the selection of five subject schools that are historically black colleges and universities…

This research improves the precision of information extraction from free-form text via the use of cognitive-based approaches to natural language processing (NLP). Cognitive-based approaches are an important, and relatively new, area of research in NLP and search, as well as linguistics. Cognitive approaches enable significant improvements in both…

Interactional data is often central to research in plurilingual learning environments. However, getting a grip on the processes of collecting, organizing, transcribing, analyzing and presenting audio and/or visual data is possibly the most exciting, but also one of the most challenging things about learning to do qualitative research. Although the…

The purpose of this transcendental, phenomenological study was to understand the impact of online grading and standards-based report cards on elementary teacher instruction at a suburban school system. This research study examined teacher instruction and assessment, sharing obstacles, and resources necessary for the effective use of…

Collecting the perfect data to answer a research question is optimal but not always feasible. Sometimes existing data can be leveraged to answer some questions, but this opportunity comes with important potential pitfalls. To test the effect of early life exposures such as being born preterm or living in a materially deprived neighborhood on early…

In the research project which formed part of my PhD study, I dealt with the topic of inequity in education. My main interest was to find out how (formal) educational careers can be fostered even if the starting position within the system is one which makes a successful educational career very difficult. Despite the fact that in the Austrian…

This account describes my research experiences as a doctoral student in education, seeking to understand what transition to Higher Education was like for undergraduate students. I was supported throughout the process by my colleague and supervisor Dr Jane Tobbell. I conducted ethnographic research and the case study provides an account of the…

Educational data mining has gained a lot of attention among scientists in recent years and constitutes an efficient tool for unraveling the concealed knowledge in educational data. Recently, semisupervised learning methods have been gradually implemented in the educational process demonstrating their usability and effectiveness. Cotraining is a…

Although faculty are an important part of collecting, analyzing, and using student learning data for improvement, significant barriers often prevent faculty from being involved in assessment work outside the classroom. One potential obstacle to faculty involvement in assessment is the misalignment between the work and faculty rewards structures.…

Learning analytics is an emerging field in which educators and researchers are using data to improve their students' educational experiences. One of the most common courses offered by higher academic institutions in the US is data science. This paper examines the data science syllabi found in today's academic sector and compares the results to…

The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…