Details
| Original language | English |
|---|---|
| Title of host publication | Advances in Web-Based Learning |
| Subtitle of host publication | ICWL 2018 - 17th International Conference, 2018, Proceedings |
| Editors | Ralf Klamma, Marc Spaniol, Gerhard Hancke, Kitisak Osathanunkul, Sayan Unankard |
| Publisher | Springer Verlag |
| Pages | 54-64 |
| Number of pages | 11 |
| ISBN (print) | 9783319965642 |
| Publication status | Published - 13 Jul 2018 |
| Event | 17th International Conference on Web-based Learning, ICWL 2018 - Chiang Mai, Thailand Duration: 22 Aug 2018 → 24 Aug 2018 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11007 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
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.
Keywords
- Exploratory search, Knowledge-intensive process, Search decision-making process, Search pattern, Web searching, Web-based learning
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Advances in Web-Based Learning: ICWL 2018 - 17th International Conference, 2018, Proceedings. ed. / Ralf Klamma; Marc Spaniol; Gerhard Hancke; Kitisak Osathanunkul; Sayan Unankard. Springer Verlag, 2018. p. 54-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11007 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Investigating Users’ Decision-Making Process While Searching Online and Their Shortcuts Towards Understanding
AU - Tibau, Marcelo
AU - W. M. Siqueira, Sean
AU - Pereira Nunes, Bernardo
AU - Bortoluzzi, Maria
AU - Marenzi, Ivana
AU - Kemkes, Philipp
N1 - Funding information: 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).
PY - 2018/7/13
Y1 - 2018/7/13
N2 - 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.
AB - 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.
KW - Exploratory search
KW - Knowledge-intensive process
KW - Search decision-making process
KW - Search pattern
KW - Web searching
KW - Web-based learning
UR - http://www.scopus.com/inward/record.url?scp=85052670847&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-96565-9_6
DO - 10.1007/978-3-319-96565-9_6
M3 - Conference contribution
AN - SCOPUS:85052670847
SN - 9783319965642
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 64
BT - Advances in Web-Based Learning
A2 - Klamma, Ralf
A2 - Spaniol, Marc
A2 - Hancke, Gerhard
A2 - Osathanunkul, Kitisak
A2 - Unankard, Sayan
PB - Springer Verlag
T2 - 17th International Conference on Web-based Learning, ICWL 2018
Y2 - 22 August 2018 through 24 August 2018
ER -