The DOI matches its Crossref record; 11 of the 14 references it cites were found in a registry or an index.
Limitations of Student Control: Do Students Know when They Need Help?
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In the citing paper
“While hints are generally effective, some students tend to immediately request bottom-out hints, resulting in less learning (Mathews et al., 2008; Aleven and Koedinger, 2000).”
From Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning (2026) · cites this paper as Aleven and Koedinger, 2000
In the citing paper
“According to the standard hints design principle in ITS (VanLehn, 2006), the hint sequence consists of three levels of increasing specificity: 1) Pointing Hint: Directs the student's attention to a specific error or location without revealing the solution (Hume et al., 1996). 2) Teaching Hint: Provides the domain principle or rule required to solve the step (Hume et al., 1996). 3) Bottom-Out Hint:”
From Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning (2026) · cites this paper as Aleven and Koedinger, 2000
Citations
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Metadata
- Authors
- Aleven, V., & Koedinger, K. R.
- Affiliations
- Carnegie Mellon University (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2000
- Pages
- 292-303
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W2139891935
- Semantic Scholar
- 097fcee1a910a91549bd22fecd14b684e24776e5
- Cited by
- 236
- References
- 14
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 15 · 2023: 12 · 2022: 12 · 2021: 8 · 2020: 8 · 2019: 8 · 2018: 11 · 2017: 12 · 2016: 12 · 2015: 9 · 2014: 10 · 2013: 15 · 2012: 10
- FWCI
- 3.31
- 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
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- intelligent tutoring systems, learner control, metacognition, help-seeking strategies, cognitive tutors, production rules, metacognitive feedback
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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