Search engine paths not taken
Revisiting early insights and exploring future challenges to enrich search methods curriculum
DOI:
https://doi.org/10.29173/cais1254Abstract
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.
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Copyright (c) 2022 Virginia M Tucker

This work is licensed under a Creative Commons Attribution 4.0 International License.