Abstract
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.
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Notes
- 1.
In our context, informal regulations/conventions that are part of the professional knowledge of users are very relevant.
- 2.
The protocol involves that participants describe aloud what they are thinking while performing a set of specified tasks.
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Acknowledgment
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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Tibau, M., W. M. Siqueira, S., Pereira Nunes, B., Bortoluzzi, M., Marenzi, I., Kemkes, P. (2018). Investigating Users’ Decision-Making Process While Searching Online and Their Shortcuts Towards Understanding. In: Hancke, G., Spaniol, M., Osathanunkul, K., Unankard, S., Klamma, R. (eds) Advances in Web-Based Learning – ICWL 2018. ICWL 2018. Lecture Notes in Computer Science(), vol 11007. Springer, Cham. https://doi.org/10.1007/978-3-319-96565-9_6
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