Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

This quantitative research study explores the correlation between instructional formats and the measurement of knowledge retention, as well as subsequent course mastery and whether other factors such as age, ethnicity, gender, number of study hours, number of work hours, and family responsibilities influence learning outcomes. The healthcare data…

The present paper describes the design, implementation and evaluation of a cryptography module for final-year software engineering students. The emphasis is on implementation architectures and practical cryptanalysis rather than a standard mathematical approach. The competitive continuous assessment process reflects this approach and rewards…