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Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer Evaluation
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Cai, Zhiqiang; Graesser, Arthur C.; Windsor, Leah C.; Cheng, Qinyu; Shaffer, David W.; Hu, Xiangen – International Educational Data Mining Society, 2018
Latent Semantic Analysis (LSA) plays an important role in analyzing text data from education settings. LSA represents meaning of words and sets of words by vectors from a k-dimensional space generated from a selected corpus. While the impact of the value of k has been investigated by many researchers, the impact of the selection of documents and…
Descriptors: Semantics, Discourse Analysis, Computational Linguistics, Intelligent Tutoring Systems
Language and Discourse Analysis with Coh-Metrix: Applications from Educational Material to Learning Environments at Scale
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Dowell, Nia M. M.; Graesser, Arthur C.; Cai, Zhiqiang – Journal of Learning Analytics, 2016
The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…
Descriptors: Discourse Analysis, Workshops, Computational Linguistics, Guidelines