Search engine paths not taken

This ongoing study builds on previous work that established a theoretical model for developing search expertise; this then guided the design of an MLIS course advanced methods. To further enrich content, included look-back at 1970s decisions affecting engines and look-forward from challenges in today’s information landscape, such as algorithmic bias, filter bubbles, market-driven results ranking. The is evaluating new by analyzing peer-to-peer discourse online discussion forums, using template analysis methodology. paper reports analytical processes being used, preliminary results, next steps.