Cited by 193Information Retrieval and Search BehaviorLibrary Science and Information LiteracyEducational Strategies and Epistemologies

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Searching as learning: A systematization based on literature

Vakkari, Pertti·2016·Journal of Information Science

DOI 10.1177/0165551515615833

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Abstract

The paper surveys empirical studies on the relations between information searching and learning, and presents some reflections about learning in a search process based on the findings. First, the meaning of the concepts ‘learning’ and ‘searching’ is briefly defined. Learning is conceptualized as changes in one’s knowledge structures. Then it is described more in detail how learning occurs in the search process. The point of departure is to focus on tasks that require the restructuring of knowledge structures and to analyse how gradual stabilization of those structures is related to accessing and interacting with information sources. After that, empirical studies on searching and learning are categorized by identifying independent and dependent variables in those studies. In conclusion, some general remarks on the topic are presented.

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A revision of bloom's taxonomy: an overview
Krathwohl, D. R. (2002) · Theory Into Practice · doi:10.1207/s15430421tip4104_2 · Cited by 8,132
Untitled work
(1998) · Cited by 4,875
Exploratory search: from finding to understanding
Marchionini, G. (2006) · Communications of the ACM · doi:10.1145/1121949.1121979 · Cited by 1,506
Information seeking in electronic environments
(1996) · Choice Reviews Online · doi:10.5860/choice.33-3366 · Cited by 1,487
Information Seeking in Electronic Environments
Marchionini, G. (1995) · doi:10.1017/cbo9780511626388 · Cited by 833
Information Retrieval Interaction
Ingwersen, P. (1992) · Cited by 636
Communication: the Essence of Science
(1979) · Elsevier eBooks · doi:10.1016/c2013-0-05843-4 · Cited by 440
Information search tactics
Bates, M. J. (1979) · Journal of the American Society for Information Science · doi:10.1002/asi.4630300406 · Cited by 433
Task‐based information searching
Vakkari, P. (2003) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440370110 · Cited by 383
Self-citation
Task complexity, problem structure and information actions
Vakkari, P. (1999) · Information Processing & Management · doi:10.1016/s0306-4573(99)00028-x · Cited by 344
Self-citation

Show all 53 references

Research works printed but not linked: 10

Kuhlthau C, 1993, Seeking meaning
Schacter DL, 2011, Psychology
Ormrod J, 2012, Human learning
Vakkari P, 2010, Proceedings of 4th workshop on human–computer interaction and information retrieval, 24
10.1145/1121949 · DOI
10.1002/(SICI)1097-4571(199802)49:2<115::AID-ASI3>3.0.CO;2-T · DOI
Belkin NJ, 1980, Canadian Journal of Information and Library Science, 5, 133
Wang P, 1997, Information seeking in context, 307
Sormunen E, 2012, Information Research, 17
Saito H, 2011, Proceedings of the ASIST

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Authors: Vakkari, P.
Affiliations: University of Tampere (FI)
Corresponding author: Vakkari, Pertti
ORCID: Vakkari, Pertti
Venue: Journal of Information Science
Publisher: SAGE Publications
Published: 2016-01-12
Volume: 42
Issue: 1
Pages: 7-18
ISSN: 0165-5515 (ISSN-L)
1741-6485
DOI: 10.1177/0165551515615833
OpenAlex: W2237396823
Cited by: 189
References: 53
Citations by year: 2026: 16 · 2025: 21 · 2024: 22 · 2023: 24 · 2022: 15 · 2021: 25 · 2020: 17 · 2019: 17 · 2018: 16 · 2017: 10 · 2016: 6
FWCI: 36.46
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Journal of Information Science (publishedVersion)
Topics: Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
Social Sciences › Library and Information Sciences › Library Science and Information Literacy
Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
Keywords: information searching, learning, knowledge structure, knowledge restructuring, information seeking, information sources, independent and dependent variables

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Searching as learning: A systematization based on literature

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