Little research has been done regarding the role of spirituality from the perceptive of self-identifying African-American emerging adult learners and how it contributes to their academic persistence, even though isolation, lack of peer support, and identity issues can decrease motivation of self-identifying African-American students. This study…

This study analyzed tuition reductions in the private not-for-profit sector of higher education, utilizing a quantitative descriptive and correlational approach with secondary data analysis. It resulted in a listing of 45 institutions with verified tuition reductions from 2007 to 2017, more than previously thought. It found that the…

Automatic assessment of dialogic properties of classroom discourse would benefit several widespread classroom observation protocols. However, in classrooms with low incidences of dialogic discourse, assessment can be highly biased against detecting dialogic properties. In this paper, we present an approach to addressing this imbalanced class…

As veteran educational researchers in case study and action research methods, we engaged in a design-based research project as an innovative approach for dealing with the complex practice of integrating science and literacy within elementary classrooms. We choose design-based research as both a theoretical "and" research framework as our…

The topic for my PhD project is assessment of music performance by social moderation in upper secondary school. My aim with the study is to develop knowledge of how teachers perceive and meet the challenges of performance assessment, with specific focus on the intersubjective teacher team. Research in the field of music performance assessment has…

Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…

Increasing demands for accountability from both the public and the government have resulted in increasing pressure for higher education professionals to use data to support their choices. There is significant speculation that professionals at all levels of education lack the knowledge to implement data-driven decision making. However, empirical…

The accountability movement in education has caused school administrators and teachers to think differently about how they report, interpret, and use student assessment data. For example, legislative measures such as No Child Left Behind require school officials to report how all students are progressing toward established standards typically…

Learning a more distributed representation of the input feature space is a powerful method to boost the performance of a given predictor. Often this is accomplished by partitioning the data into homogeneous groups by clustering so that separate models could be trained on each cluster. Intuitively each such predictor is a better representative of…

The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the preliminary data of the…

This annual publication provides a summary of training activity in apprenticeships and traineeships in Australia for the period 2001 to 2011. It includes information on training rates, individual completion rates, and duration of training. Highlights include: (1) 3.9% of Australian workers were employed as an apprentice or trainee as at December…

Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in…

Purpose: DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the web using Linked Data and SPARQL. However, the DBpedia release process is heavyweight and releases are sometimes based on several months old data. DBpedia-Live solves this problem by providing a live…

The COVID-19 crisis has made delivering early intervention services much more challenging and could exacerbate racial inequities in health and education. But we can only fix what we can measure--so it is vital that states collect and report better data. A survey of state coordinators of early intervention services in fall 2020 focused on Black and…

Just as schools are working to appropriately address K-12 students' unfinished learning caused by the pandemic, early intervention systems are focusing on addressing the missed opportunities the pandemic created for young children and their families. Young children missing these opportunities for early intervention services are potentially at…