Value-added models are a class of growth models used in education to assign responsibility for student growth to teachers or schools. For value-added models to be used fairly, sufficient statistical precision is necessary for accurate teacher classification. Previous research indicated precision below practical limits. An alternative approach has…

Educational video games have the potential to be used as assessments of student understanding of complex concepts. However, the interpretation of the rich stream of complex data that results from the tracking of in-game actions is so difficult that it is one of the most serious blockades to the use of educational video games or simulations to…

The purpose of this quantitative study was to determine the importance and priority of practices for directors of career and technical education in the state of Indiana. An analysis was prepared to determine the rankings and correlations of importance and priorities of 50 leadership practices as well as 11 categories of practices for the career…

Social media collections are becoming increasingly important in the everyday life of Internet users. Recent statistics show that sites hosting social media and community-generated content account for five of the top ten most visited websites in the United States [4] are visited regularly by a broad cross-section of Internet users [61, 67, 115] and…

Within public schools throughout the United States, an emphasis has been placed on improving education for all students. In turn, this has resulted in legislators and policymakers placing an emphasis on assessing student learning and holding the education community accountable. In this study, the researcher examined one variable in the…

In this study, the researcher investigated whether the degree of communication apprehension reported by college freshmen who have been homeschooled differs significantly from that reported by their peers with more traditional high school backgrounds. Inspired by the researcher's college classroom experiences, the study provided insights into the…

The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning…