Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom’s Taxonomy
Article Status
Published
Authors/contributors
- Iqbal, Sehrish (Author)
- Rakovic, Mladen (Author)
- Chen, Guanliang (Author)
- Li, Tongguang (Author)
- Ferreira Mello, Rafael (Author)
- Fan, Yizhou (Author)
- Fiorentino, Giuseppe (Author)
- Radi Aljohani, Naif (Author)
- Gasevic, Dragan (Author)
Title
Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom’s Taxonomy
Date
2023-3-13
Proceedings Title
LAK23: 13th International Learning Analytics and Knowledge Conference
Conference Name
LAK 2023: 13th International Learning Analytics and Knowledge Conference
Place
Arlington TX USA
Publisher
ACM
Pages
418-429
Language
en
ISBN
978-1-4503-9865-7
Accessed
13/12/2023, 19:18
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: iqbal2023
<标题>: 利用布鲁姆分类法对学生论文写作中的修辞类别进行自动化分析
<AI Smry>: A statistical difference between the associations of rhetorical categories in low-achieving, medium-achiever and high-achievers groups implies that rhetorical categories can be predictive of writing performance.
Citation
Iqbal, S., Rakovic, M., Chen, G., Li, T., Ferreira Mello, R., Fan, Y., Fiorentino, G., Radi Aljohani, N., & Gasevic, D. (2023). Towards Automated Analysis of Rhetorical Categories in Students Essay Writings using Bloom’s Taxonomy. LAK23: 13th International Learning Analytics and Knowledge Conference, 418–429. https://doi.org/10.1145/3576050.3576112
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