Modeling exploratory search as a knowledge-intensive process

Marcelo Tibau, Sean W.M. Siqueira, Bernardo Pereira Nunes, Maria Bortoluzzi, Ivana Marenzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Searching as Learning and Information Seeking require exploratory search to be modeled for supporting learning. The present paper introduces a model of exploratory search that was applied on web searching in language teacher education, which promoted its evolution and validation, and enabled a visualization of search pattern and learning process. This model was able to help clarify best practices associated to users' decision-making process regarding suitable and not suitable information and to capture the relevance of context variables, personal skills and expertise that users utilize as filters for the search.

Original languageEnglish
Title of host publicationProceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018
EditorsNian-Shing Chen, Maiga Chang, Ronghuai Huang, K. Kinshuk, Kannan Moudgalya, Sahana Murthy, Demetrios G Sampson
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-38
Number of pages5
ISBN (Print)9781538660492
DOIs
Publication statusPublished - 10 Aug 2018
Externally publishedYes
Event18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018 - Bombay, India
Duration: 9 Jul 201813 Jul 2018

Publication series

NameProceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018

Conference

Conference18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018
Country/TerritoryIndia
CityBombay
Period9/07/1813/07/18

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