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Adaptive Hypermedia
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“Early ALS implementations often required extensive manual rule design or pre-course diagnostic assessments to initialize learner models [13].”
From AI for All: Adaptive, Accessible, and Inclusive Learning Experiences in the Age of Intelligent LMSs (2026) · cites this paper as [13]
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Journal of Universal Computer Science
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Self-citationWeb-based education for all: a tool for development adaptive courseware
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Self-citationMachine Learning for User Modeling
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Self-citationSoft Computing in Ontologies and Semantic Web
(2006) · Studies in fuzziness and soft computing · doi:10.1007/978-3-540-33473-6 · Cited by 43
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Metadata
- Authors
- Brusilovsky, P.
- Affiliations
- University of Pittsburgh (US)
- Corresponding author
- Brusilovsky, Peter
- ORCID
- Brusilovsky, Peter
- Venue
- User Modeling and User-Adapted Interaction
- Published
- 2001-03
- Volume
- 11
- Issue
- 1-2
- Pages
- 87-110
- ISSN
- 0924-1868 (ISSN-L)
- 1573-1391
- OpenAlex
- W2913293464
- Cited by
- 2,057
- References
- 69
- Citations by year
- 2026: 64 · 2025: 30 · 2024: 19 · 2023: 27 · 2022: 21 · 2021: 25 · 2020: 33 · 2019: 33 · 2018: 37 · 2017: 49 · 2016: 67 · 2015: 59 · 2014: 72 · 2013: 93 · 2012: 116
- FWCI
- 124.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- User Modeling and User-Adapted Interaction (publishedVersion)
- Cumulative Index of Computer Aided Architectural Design (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Web Applications and Data Management
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- adaptive hypermedia, user modeling, personalization, user preferences, user goals, knowledge modeling, hypermedia 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.
What counts as a claim ›How we measure confidence ›How we check this ›
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