Effects of classroom seating arrangements on children’s question-asking
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Pre-trained LLMs such as GPT-3 can be sensitive to the specific data points provided as few-shot examples.
“There are many recent works in the NLP community report that pre-trained LLMs such as GPT-3 can be sensitive to the specific data points provided as few-shot examples [30, 38, 63, 41].”
From GPT-3-Driven Pedagogical Agents to Train Children’s Curious Question-Asking Skills (2024) · cites this paper as [41]
The citation lists haven’t been fetched yet
References 46 · Cited by 134
- Authors
- Marx, A., Fuhrer, U., & Hartig, T.
- Affiliations
- Otto-von-Guericke-Universität Magdeburg (DE)
- Uppsala University (SE)
- Venue
- Learning Environments Research
- Published
- 1999-10
- Volume
- 2
- Issue
- 3
- Pages
- 249-263
- ISSN
- 1387-1579 (ISSN-L)
- 1573-1855
- OpenAlex
- W1854812672
- Cited by
- 134
- References
- 46
- Citations by year
- 2026: 8 · 2025: 3 · 2024: 9 · 2023: 9 · 2022: 6 · 2021: 13 · 2020: 9 · 2019: 9 · 2018: 10 · 2017: 4 · 2016: 3 · 2015: 10 · 2014: 8 · 2013: 4 · 2012: 9
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Learning Environments Research (publishedVersion)
- Topics
- Social Sciences › Education › Educational Environments and Student Outcomes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Social Psychology › Communication in Education and Healthcare
- Keywords
- classroom seating arrangement, student questioning, fourth grade, question taxonomy, social interaction, face-to-face contact
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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