Investigating Users’ Decision-Making Process While Searching Online and Their Shortcuts Towards Understanding
This paper presents how we apply Exploratory Search KiP model, a model capable of assisting the visualization of search patterns and identifying best practices associated to users’ decision-making processes, to log analysis and how it helps understand the process and decisions taken while carrying out a search. This study aims to model searches performed through web search tools and educational resources portals, to enable a conceptual framework to support and improve the processes of learning through searches. Applying the model to log analysis, we are able: (1) to see how the information retrieved is used to define decision criteria about which data are worth extracting; (2) to draw inferences and shortcuts to support understanding; (3) to observe how the search intention is modified during search activities; and, (4) to analyze how the purpose that drives the search turned into real actions.
KeywordsExploratory search Knowledge-intensive process Web searching Web-based learning Search pattern Search decision-making process
This work was partially supported by CAPES (through master student bursary) and CNPQ (project: 312039/2015-8 – DT/Bursary Integrating Pedagogical Practices and Methods and Tools of Educational Data Analysis).
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