Anderson Pinheiro Cavalcanti

Orcid: 0000-0002-5228-1583

According to our database1, Anderson Pinheiro Cavalcanti authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Towards Explainable Prediction Feedback Messages Using BERT.
Int. J. Artif. Intell. Educ., September, 2024

2022
Towards automated content analysis of educational feedback: A multi-language study.
Comput. Educ. Artif. Intell., 2022

2021
Automatic Content Analysis of Online Discussions for Cognitive Presence: A Study of the Generalizability Across Educational Contexts.
IEEE Trans. Learn. Technol., 2021

Automatic feedback in online learning environments: A systematic literature review.
Comput. Educ. Artif. Intell., 2021

Towards automated content analysis of feedback: A multi-language study.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020
How good is my feedback?: a content analysis of written feedback.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Towards automatic cross-language classification of cognitive presence in online discussions.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

2019
Text mining in education.
WIREs Data Mining Knowl. Discov., 2019

Identifying Students' Weaknesses and Strengths Based on Online Discussion using Topic Modeling.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

An Analysis of the use of Good Feedback Practices in Online Learning Courses.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

2018
Um sistema baseado em PLN e AG para apoiar a mediação pedagógica em fóruns de discussão.
Revista Brasileira de Informática na Educ., 2018

2017
Statistical and Semantic Features to Measure Sentence Similarity in Portuguese.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017


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