Search engine paths not taken
Revisiting early insights and exploring future challenges to enrich search methods curriculum
This ongoing study builds on previous work that established a theoretical model for developing search expertise; this model then guided the design of an MLIS course on advanced search methods. To further enrich the course content, the design included a look-back at 1970s design decisions affecting search engines and a look-forward from challenges in today’s information landscape, such as algorithmic bias, filter bubbles, and market-driven results ranking. The study is evaluating the new course by analyzing peer-to-peer discourse in online discussion forums, using template analysis methodology. This paper reports on the analytical processes being used, preliminary results, and next steps.
How to Cite
Copyright (c) 2022 Virginia M Tucker
This work is licensed under a Creative Commons Attribution 4.0 International License.