Generalized Linear Model for Automobile Fatality Rate Predication in R

This chapter demonstrates the descriptive and statistical modeling function in R. The automobile fatal accident data of the United States is extracted from the Fatality Analysis Reporting System (FARS). The model will be used to understand significant contributing factors of automobile accident death when a fatal crash happens. First, descriptive analysis is performed by basic R functions and packages. Then, generalized linear model (GLM) with logit link function is explored and constructed. Finally, multiple validation metrics are introduced and calculated to ensure the reasonability and accuracy of the predictions. The focus of this chapter is to demonstrate the power and flexibility of the most popular Open Source Statistical Software (OSSS) through a real data analysis

Digital audio for asynchronous interactive learning at an English university

The authors recommend, based on their research and experience, further use of ADA with podcasts and voice boards for interactive learning. They discuss future research, such as: Can ADA’s impact on students’ performance be measured? How much extra time do students commit to using ADA? What does ADA cost? How does audio feedback spark student-tutor dialogues and what effects do these dialogues have? Can other disciplines benefit from using ADA and if so how? Are there advantages in using other voice tools such as voice e-mail and audio blogs to promote interactive learning? Further research is needed, although ADA interactive learning already offers much to learners at a distance and on-campu