Using the taxonomy of cognitive learning to model online searching
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Bloom's taxonomy is a hierarchical framework in which learning at a higher level depends on skills and knowledge attained at a lower level.
“Bloom's taxonomy is a hierarchical framework that outlines cognitive processes, suggesting that learning at a higher level depends on skills and knowledge attained at a lower level.”
From Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention (2025) · cites this paper as [9]
Cites
Exploratory search: from finding to understanding
Marchionini, G. (2006) · Communications of the ACM · doi:10.1145/1121949.1121979 · Cited by 1,506 · see citing works
Multifaceted impact of self-efficacy beliefs on academic functioning
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996) · Child Development · doi:10.2307/1131888 · Cited by 1,080 · see citing works
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
INGWERSEN, P. (1996) · Journal of Documentation · doi:10.1108/eb026960 · Cited by 717 · see citing works
Information searching strategies in web-based science learning: the role of internet self-efficacy
Tsai, M.-J., & Tsai, C.-C. (2003) · Innovations in Education and Teaching International · doi:10.1080/1355800032000038822 · Cited by 470 · see citing works
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Searching as learning: A systematization based on literature
Vakkari, P. (2016) · Journal of Information Science · doi:10.1177/0165551515615833 · Cited by 189 · see citing works
Kelly, D., Arguello, J., Edwards, A., & Wu, W.-C. (2015) · Proceedings of the 2015 International Conference on The Theory of Information Retrieval · doi:10.1145/2808194.2809465 · Cited by 155 · see citing works
The Effects of Working Memory during Search Tasks of Varying Complexity
Choi, B., Capra, R., & Arguello, J. (2019) · Proceedings of the 2019 Conference on Human Information Interaction and Retrieval · doi:10.1145/3295750.3298948 · Cited by 16 · see citing works
Short-Term Gains, Long-Term Gaps: The Impact of GenAI and Search Technologies on Retention
Akgun, M., & Toker, S. (2025) · Communications in Computer and Information Science · doi:10.1007/978-3-031-99264-3_6 · Cited by 4 · see citing works
- Authors
- Jansen, B. J., Booth, D., & Smith, B.
- Affiliations
- Pennsylvania State University (US)
- Corresponding author
- Jansen, Bernard J.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 45
- Issue
- 6
- Pages
- 643-663
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2125671490
- Cited by
- 164
- References
- 4
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 7 · 2023: 9 · 2022: 8 · 2021: 13 · 2020: 14 · 2019: 18 · 2018: 17 · 2017: 13 · 2016: 10 · 2015: 6 · 2014: 9 · 2013: 5 · 2012: 8
- FWCI
- 14.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Processing & Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- information searching, Bloom's taxonomy, online search behavior, information needs, search effort, learning levels, fact-checking, learning styles, search systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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