Web-Based Intelligent Multimedia Tutoring for High Stakes Achievement Tests
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Early designs of interactive tutoring aids comprised rule-based systems mirroring interactions between expert teacher and student or between peer companions.
“Early designs of interactive tutoring aids for teaching and support comprised of rule-based systems mirroring interactions between expert teacher and student (Arroyo et al., 2004; Olney et al., 2012) or between peer companions (Movellan et al., 2009).”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Arroyo et al., 2004
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References 10 · Cited by 74
- Authors
- Arroyo, I., Beal, C., Murray, T., Walles, R., & Woolf, B. P.
- Affiliations
- University of Massachusetts Amherst (US)
- University of Southern California (US)
- Venue
- Lecture notes in computer science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 468-477
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2114523733
- Cited by
- 74
- References
- 10
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 4 · 2015: 4 · 2014: 6 · 2013: 10 · 2012: 4
- FWCI
- 1.94
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- intelligent tutoring systems, Scholastic Aptitude Test, mathematics tutoring, multimedia animation, narrative-based learning, mental rotation, adaptive tutoring, teaching methods
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.
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