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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.
“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]
Section 3.2.1 says individual traits were traditionally obtained through psychological tests and describes educational systems that adapted to learning styles. Section 3.1.1 identifies early educational hypermedia systems, but neither passage establishes that early implementations often required pre-course assessments to initialize learner models. The passages also do not establish extensive manual rule-design requirements. (LLM, conf=0.68)
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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
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