The objective of this study is to survey existing and emerging post-secondary computing and technology programs and employment trends in Pennsylvania to determine if college graduates are being prepared for careers in artificial intelligence. Due to low enrollment, colleges and universities are continually revising or restructuring their existing…

Within the confines of this study, the researcher investigated Project Lead the Way (PLTW) Engineering curriculum goals within Missouri high schools. The study measured Missouri PLTW teachers' perceptions of various elements of the curriculum as well as state and national PLTW End of Course student assessment data to determine if a relationship…

There has been a steady decline of majors in the disciplines of science, technology, engineering, and mathematics ("STEM majors"). In an effort to improve recruitment and retention in "STEM" majors, an active-learning methodology--"peer-led team learning" ("PLTL")--was implemented by the participating…

The objective of this study was to survey IS curriculum in AACSB-accredited Information Systems programs across the United States, to evaluate current adherence to the IS 2010 Curriculum Guidelines, and to assess the number and type of career track developments initiated as a result of less stringent requirements in the new curriculum guidelines.…

Given the increasing competition in the software industry and the critical consequences of software errors, it has become important for companies to achieve high levels of software quality. While cost reduction and timeliness of projects continue to be important measures, software companies are placing increasing attention on identifying the user…

Research shows that students who take a certain core curriculum are better prepared for college than those students who do not; however, data indicate that taking core courses is not enough: Teachers must assign greater rigor in all courses they teach, especially courses needed for college (Schmeiser, 2007). As early as 1983 the National…

Commenting source code has long been a common practice in software development. This thesis, consisting of three pieces of work, made novel use of the code comments written in natural language to improve software reliability. Our solution combines Natural Language Processing (NLP), Machine Learning, Statistics, and Program Analysis techniques to…