Web Scraping to Inform Curriculum Decisions

Abstract

This study explored the use of web scraping to examine key words on a popular job hosting site in order to inform curriculum decisions for Computer Information Systems programs. By using a job posting site and web data extraction, this study demonstrated a methodology for gathering large amounts of data and its applicability in evaluating curriculum. When the data was analyzed, it provided useful insights that could aid in curriculum design. Data was analyzed through various text analysis techniques to identify data patterns. Results will help programs focus limited resources on curriculum that benefits a larger subset of their stakeholders.