WTC corpus questions concentrate in Science & Mathematics (55.66%) and over half are causal HOW/WHY questions¶
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Evidence · 1 study (3 entries) · designr2·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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q2 i? More than half of WTC questions fall in Science & Mathematics (55.66%), followed by Society & Culture (12.28%) and Health (7.77%). → Zhaozhen Xu 2024
q2 i? The most frequent question type is WHY (26.34%) followed by HOW (24.56%), which the authors read as further thinking by questioners. → Zhaozhen Xu 2024 (2)
q2 i? The theme HOW + Science & Mathematics is the largest of the 90 themes with 1,387 questions. → Zhaozhen Xu 2024 (3)
Evidence¶
Zhaozhen Xu 2024¶
Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini. (2024). Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-023-00377-8
q2 · i? · design · r2
Automated topic classification of the 8,600-question WTC corpus by QBERT-RR, reported in the result discussion section. The article prints the topic shares: Science & Mathematics 55.66%, Society & Culture 12.28%, Health 7.77%.
"The automated QT analysis of the corpus revealed that more than half of the questions are in the domain of Science & Mathematics (55.66%), followed by Society & Culture (12.28%), and then by Health (7.77%)."
Zhaozhen Xu 2024 (2)¶
Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini. (2024). Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-023-00377-8
q2 · i? · design · r2
Keyword-based type classification of the WTC corpus reported in the result discussion. The article prints WHY at 26.34% and HOW at 24.56%, and elsewhere notes more than 50% of questions are causal HOW/WHY types.
"The most frequently asked type of question is the type WHY (26.34%) followed by HOW (24.56%)."
Zhaozhen Xu 2024 (3)¶
Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini. (2024). Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-023-00377-8
q2 · i? · design · r2
Cross-tabulation of the nine question types and ten topics into 90 themes (Fig. 5). The article reports the HOW + Science & Mathematics theme contains 1,387 questions, the highest of all 90 themes.
"The theme " HOW + Science & Mathematics" contains 1,387 questions, which is the highest among all 90 themes."
Discussion¶
Related Claims¶
- Graph community detection over QBERT-RR embeddings yields 5,930 question communities, with 5,337 questions having no similar group — related
- QBERT-RR transfers to the unseen WTC question corpus with 90.76% equivalent-question recognition accuracy at a 0.809 threshold — related
- QBERT-RR finds high-confidence one-sentence Wikipedia answers for 463 WTC questions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
wtc-topic-type-distribution |
title |
WTC corpus questions concentrate in Science & Mathematics (55.66%) and over half are causal HOW/WHY questions |
description |
WTC corpus questions concentrate in Science & Mathematics (55.66%) and over half are causal HOW/WHY questions |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-28 |
trust |
unverified — no one has confirmed this page's content |
sources |
3 — zhaozhen-xu-2024, zhaozhen-xu-2024-2, zhaozhen-xu-2024-3 |
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