Web Scraping to Inform Curriculum Decisions

Authors

  • James S. Norcross Tarleton State University
  • Joseph H. Schuessler Tarleton State University
  • Dennis G. Jones Tarleton State University

DOI:

https://doi.org/10.33423/jhetp.v20i10.3655

Keywords:

Higher Education, computer information systems, curriculum design, data mining, higher education information technology, text analysis, web crawling, web scraping

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.

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Published

2020-12-04

How to Cite

Norcross, J. S., Schuessler, J. H., & Jones, D. G. (2020). Web Scraping to Inform Curriculum Decisions. Journal of Higher Education Theory and Practice, 20(10). https://doi.org/10.33423/jhetp.v20i10.3655

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Section

Articles