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Accounting for the knowledge gained during a web search: An empirical study on learning transfer indicators

Authors: Tibau, Marcelo; Siqueira, Sean Wolfgand Matsui; Nunes, Bernardo Pereira;

Accounting for the knowledge gained during a web search: An empirical study on learning transfer indicators

Abstract

{"references": ["Ageev, M., Guo, Q., Lagun, D., & Agichtein, E. (2011). Find it if you can: A game for modeling different types of web search success using interaction data. In Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 345\u2013354). Association for Computing Machinery. https://doi.org/10.1145/2009916.2009965. Anderson, J. R. (2015). Cognitive psychology and its implications. Worth Publishers.", "Bjorklund, \u00a8 L. (2013). Why do they not see what I see? In H.E. Middleton, & L.K.J. Baartman (Eds.), Transfer, transitions and transformations of learning (pp. 149\u2013167). Sense Publishers. https://doi.org/10.1007/978-94-6209-437-6. Bowker, G. C., Baker, K., Millerand, F., & Ribes, D. (2010). Toward information infrastructure studies: Ways of knowing in a networked environment. In J. Hunsinger, L. Klastrup, & M. Allen (Eds.), International handbook of internet research (pp. 97\u2013117). Netherlands: Springer. doi:10.1007/978-1-4020-9789-8."]}

Searches with learning intent typically require the users to interact with the searching environment and perform knowledge acquisition features such as scan, read, and process the online content to fulfill their information needs. To capture indicators from searching behaviors that could account for the knowledge gained during a Web search, a qualitative study was performed using the Concurrent Think-Aloud protocol to observe the mechanisms of transfer and map knowledge flows during 78 search sessions. Findings indicate evidence of transfer of learning in the form of sixteen online information searching strategy indicators. This research aids the understanding of how knowledge is gained during search sessions and how to identify behaviors that could indicate that learning has occurred, which could be used to represent knowledge gain on Web search engines. In this way, it can aid search engines to become not only better tools of searching, but also tools of learning.

Keywords

Transfer of learning, words: Constant comparative method, Knowledge gain, Web searching, words: Constant comparative method, Concurrent think-aloud protocol

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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