Quiz maker: Automatic quiz generation from text using NLP
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?
GPT-3 can support learning by explaining aspects of a given code snippet.
“this work has successfully demonstrated the potential of GPT-3 to support learning by explaining aspects of a given code snippet.”
From ChatGPT for good? On opportunities and challenges of large language models for education (2023) · cites this paper as [19]
The citation lists haven’t been fetched yet
References 19 · Cited by 50
- Authors
- Gabajiwala, E., Mehta, P., Singh, R., & Koshy, R.
- Affiliations
- Bharatiya Vidya Bhavan (IN)
- Corresponding author
- Mehta, Priyav
- ORCID
- Singh, Ritik
- Venue
- Lecture Notes in Electrical Engineering
- Publisher
- Springer Nature Singapore
- Published
- 2022
- Pages
- 523-533
- ISSN
- 1876-1100 (ISSN-L)
- 1876-1119
- OpenAlex
- W4312842259
- Cited by
- 50
- References
- 19
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 23 · 2023: 10
- FWCI
- 21.35
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in electrical engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- keyword extraction, BERT, T5, fill-in-the-blank questions, true/false questions, wh-questions, multiple-choice questions, question classification
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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