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Search engine use is an as the manifestation of an information seeker’s query that determines the information–seeking action .
Although our study applies to research engines in general, we intend to focus specifically on the Google search engine, as it is the most commonly used search environment, as also confirmed by the data gathered for this study.
Research goals and questions As Jansen, (2008) point out, in order for search engines to improve, we need to expand our understanding of user behavior and the underlying intent with which users conduct searches.
We also investigate the satisfaction levels with search outcomes and trust in search engines in supporting specific tasks.
This study is based on triangulating three data–gathering methods, including a Web–based survey, interviews, and search log reviews.
This paper examines the use of Web search engines by faculty and students to support learning, teaching, and research.
We explore the academic tasks supported by search engine use to investigate if and how students and scholars vary in their use patterns.The paper concludes with a discussion of the implications of the findings for future search engine research and information practitioners.Introduction Related studies Conceptual framework Research methodology Findings Data synthesis and implications for design Concluding remarks Search engines have become an integral part of our information environment.This context includes not only finding information but also utilizing the discovered information successfully to accomplish a certain task.Considering the search engine use patterns of specific user groups will facilitate more task–focused assessment and development of search engines.Our goal is not to question search algorithms or user interface design aspects of search engines, but rather to examine the needs–based process that results in a user’s typing text into the search engine query box as well as that user’s perception of the results of such a search.In this regard, Spink (2002) explores a user–centered approach to the evaluation of the Web search engine and provides a useful framework for our study.RQ4: Do students and faculty trust search engines to provide an adequate representation of the information space in support of learning, teaching, and research?RQ5: What are the areas of improvement for increased user satisfaction for academic searches?Marchionini points out that the initial search engine research focal point has been on increasing efficiency, precision, and the recall capacities of search engines .Such research findings have not only benefited searchers through improved search algorithms and interfaces but also have supported the commercial sector by improving the accuracy of advertisement placement and other online e–commerce activities.