Towards explainable prediction of essay cohesion in Portuguese and English-Reference-Cited by-同舟云学术

Towards explainable prediction of essay cohesion in Portuguese and English

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:LAK23: 13th International Learning Analytics and Knowledge Conference
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Author:

Oliveira Hilário¹^ORCID,Ferreira Mello Rafael²^ORCID,Barreiros Rosa Bruno Alexandre³^ORCID,Rakovic Mladen⁴^ORCID,Miranda Pericles⁵^ORCID,Cordeiro Thiago⁶^ORCID,Isotani Seiji⁷^ORCID,Bittencourt Ig⁸^ORCID,Gasevic Dragan⁴^ORCID

Affiliation:

1. Federal Institute of Espírito Santo, Brazil

2. AiBox Lab, Computing Department, Federal Rural University of Pernambuco, Brazil and CESAR School, Brazil

3. CESAR School, Brazil

4. Monash University, Australia

5. AiBox Lab, Computing Department, Federal Rural University of Pernambuco, Brazil

6. Federal University of Alagoas, Brazil

7. Harvard Univeristy, United States and University of São Paulo, Brazil

8. Harvard University, Brazil and Federal University of Alagoas, Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576050.3576152

Reference53 articles.

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2. Interpretable Deep Learning for University Dropout Prediction

3. Towards automatic cross-language classification of cognitive presence in online discussions

4. Awaiting a new wave: The status of state writing assessment in the United States

5. Raissa Camelo Samuel Justino and Rafael Ferreira Leite de Mello. 2020. Coh-Metrix PT-BR: Uma API web de análise textual para a educação. In Anais dos Workshops do IX Congresso Brasileiro de Informática na Educação. SBC 179–186. Raissa Camelo Samuel Justino and Rafael Ferreira Leite de Mello. 2020. Coh-Metrix PT-BR: Uma API web de análise textual para a educação. In Anais dos Workshops do IX Congresso Brasileiro de Informática na Educação. SBC 179–186.

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