1º Workshop Brasileiro de Busca como um Processo de Aprendizagem (WBPA 2019)

novembro 6, 2019 § Deixe um comentário

search-learn

A programação do WBPA @ CBIE 2019 foi disponibilizada na página do evento. Juntamente com a programação, foram antecipados os artigos a fim de enriquecer a interação entre os participantes durante as sessões. Os anais oficiais estarão disponíveis em breve.
1º Workshop Brasileiro de Busca como um Processo de Aprendizagem (WBPA 2019)

http://sal.uniriotec.br/wbpa-2019/#programaWBPA2019

Using Query Reformulation to Compare Learning Behaviors in Web Search Engines

setembro 6, 2019 § Deixe um comentário

search

M. Tibau, S. W. M. Siqueira, B. Pereira Nunes, T. Nurmikko-Fuller and R. F. Manrique, “Using Query Reformulation to Compare Learning Behaviors in Web Search Engines,” 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), Maceió, Brazil, 2019, pp. 219-223.
doi: 10.1109/ICALT.2019.00054
keywords: {query reformulation;query states;searching as learning;Web search engine;exploratory search;knowledge-intensive process},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8820932&isnumber=8820810

Abstract: Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries. Understand the differences between query states and their transitions becomes increasingly important, as doing so makes the optimization of search engines’ results according to educational uses and needs possible. This paper introduces the ESKiP Taxonomy of Query States, a classification framework validated in an experiment involving two different query log datasets. It enables the comparison between the behaviors of users in search for knowledge (learners) and users performing transactional or factual searches in Web search engines.

 

Exploratory Search as a Knowledge-intensive Process

maio 3, 2019 § Deixe um comentário

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Abstract: This paper presents an exploratory search model capable of assisting the visualization of search patterns and clarifying best practices associated to users’ decision-making process, with implications in areas related to information retrieval, humancomputer interaction, Web searching and educational technology. The Exploratory Search Knowledge-Intensive Process model considers tasks and search activities as part of a chain of actions that help clarify the reasons why a subject is searched. It also supports the visualization on how the information retrieved is used to define decision criteria about which data is worth extracting, to draw inferences, and to create a shortcut to understanding.

Marcelo Tibau, Sean W. M. Siqueira, Fernanda Baião and Bernardo Pereira Nunes. 2018. Exploratory Search as a Knowledge-intensive Process. Euro American Conference on Telematics and Information Systems (EATIS ’18), November 12–15, 2018, Fortaleza, Brazil, 8 pages. https://doi.org/10.1145/3293614.3293618

A Correlation Index Between Two Different Text and Web Resource Classification Systems

maio 3, 2019 § Deixe um comentário

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Abstract: Classifying content on the Web has been a common subject of research, since the amount of available data on the Web, especially in text format, grows every day. In this paper it is proposed a correlation index to measure how close a classification system based on Wikipedia categorization is of a service provided by Watson IBM that has the same purpose: text and resourceclassification on the Web.

Almeida, Rubia; Siqueira, Sean W.M.; Tibau, Marcelo; Queiroz, Jackson. A Correlation Index Between Two Different Text and Web Resource Classification Systems. EATIS ’18 Proceedings of the Euro American Conference on Telematics and Information Systems. Article No. 43. Fortaleza, Brazil — November 12 – 15, 2018. ACM New York, NY, USA ©2018 https://www.doi.org/10.1145/3293614.3293652

Investigating users’ decision-making process while searching online and their shortcuts towards understanding

setembro 9, 2018 § Deixe um comentário

 

Resultado de imagem para web search vector

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.

Tibau, M. ; Siqueira, S.W.M. ; Nunes, B. P. ; Bortoluzzi, M. ; Marenzi, I. ; Kemkes, P. . Investigating users’ decision-making process while searching online and their shortcuts towards understanding. In: 17th International Conference on Web-based Learning, 2018, ChiangMai. Advances in Web-Based Learning (ICWL 2018), 17th International Conference, 2018.

DOI: doi.org/10.1007/978-3-319-96565-9_6

Modeling exploratory search as a knowledge-intensive process

setembro 9, 2018 § Deixe um comentário

Depositphotos_67963611_l-2015

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.

Tibau, M., Siqueira, S.W.M., Nunes, B.P., Marenzi, I., Bortoluzzi, M.: Modeling exploratory search as a knowledge-intensive process. In: 2018 Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies (ICALT 2018), Mumbai. IEEE, New York (2018).

DOI: 10.1109/ICALT.2018.00015

 

A summarization of Rio de Janeiro’s 2018 summer

abril 13, 2018 § Deixe um comentário

This summarization is an adaptation from Edward Tufte’s illustration displayed at his “Visual Display of Quantitative Information” book. The original illustration comes from The New York Times (Fig 1).

tuftesOriginal

Fig 1: Edward Tufte’s illustration of New York City’s 2003 weather

Mine’s was created using R Programming packages dplyr and tidyr to preprocess and summarize a dataset collected from Average Daily Temperature archive website provided by University of Dayton.
The chart per se (Fig 2) was created using package ggplot2. Temperature is in Fahrenheit.

tufteWeatherChartRio

Fig 2: Adaptation from the original Tufte’s chart to Rio de Janeiro’s weather (summer 2018)

In my adaptation, the time series in light brown represents the average temperatures (max and min) from 1995 to 2017, while the dark brown represents the mean temperature for each day along with a 95% confidence interval.
From analyzing the chart is possible to see that from January 1st to March 20 2018, we had 34 days in Rio de Janeiro as the hottest since 1995 and 1 day as the coldest. The period represented accounts for the South Hemisphere summer.

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