Explainable Automated Essay Scoring: Deep Learning Really Has Pedagogical Value
Vive Kumar, David Boulanger
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3389/feduc.2020.572367 ↗
- Volume · Issue · Pages
- 5 · — · —
- Publisher
- Frontiers Media S.A.
- Article URL
- https://doi.org/10.3389/feduc.2020.572367 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
06 Oct 2020
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 06 Oct 2020 | OpenAlex |
Keywords (as given): automated essay scoring; explainable AI; SHAP; rubric-based assessment; holistic scoring; multilayer perceptron; linguistic features; textual cohesion; lexical diversity; formative feedback; student writing assessment; model interpretability; feature selection
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- Frontiers in Education
- Publication date used
- 06 Oct 2020 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
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