In this thesis, we explore determinants of Canadian workers’ job-related education and training take-ups by using the 2008 Access and Support to Education and Training Survey (ASETS). We implement three models, OLS, probit and logit. Regression results show that the three models produce similar and generally consistent estimates. We find systematic patterns across demographic groups in relation to job-related education and training. Most of our findings, such as the e?ect of age and education, are consistent with previous research. We also find two new influential factors, namely, individuals’ computer ability and their information search behavior, which are critical in determining job-related education and training take-ups. This new finding not only further completes the image of job-related education or training take-ups, but also suggests that government, educational institutions and employers invest more resources into internet to e?ectively promote job-related education and training.