Abstract
We evaluated the effectiveness of new indices of text cohesion to determine the appropriate human assigned grade level of a text. In particular, we investigated the efficacy of automated text indices produced by the online tool Coh-
Metrix in predicting the grade level assigned by publishers to their own textbooks. To do this, we sampled 311 school textbooks from a large database, choosing roughly equal numbers of science, narrative, and social science texts.
Publisher-assigned grade levels were found to be moderately predictable by traditional approaches such as the Flesch-Kincaid Grade Level. Prediction of grade level was significantly improved by the inclusion of cohesion indices
obtained by Coh-Metrix. Implications for the improvement of textbook selection are discussed.
Metrix in predicting the grade level assigned by publishers to their own textbooks. To do this, we sampled 311 school textbooks from a large database, choosing roughly equal numbers of science, narrative, and social science texts.
Publisher-assigned grade levels were found to be moderately predictable by traditional approaches such as the Flesch-Kincaid Grade Level. Prediction of grade level was significantly improved by the inclusion of cohesion indices
obtained by Coh-Metrix. Implications for the improvement of textbook selection are discussed.
Original language | English |
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Title of host publication | Proceedings of the 28th Annual Conference of the Cognitive Science Society |
Editors | R. Sun, N. Miyake |
Place of Publication | Mahwah, NJ |
Publisher | Erlbaum |
Pages | 1251-1256 |
Publication status | Published - 2006 |
Externally published | Yes |
Event | 28th Annual Conference of the Cognitive Science Society - Sheraton Vancouver Wall Centre, Vancouver, Canada Duration: 26 Jul 2006 → 29 Jul 2006 Conference number: 28 |
Conference
Conference | 28th Annual Conference of the Cognitive Science Society |
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Abbreviated title | CogSci 2006 |
Country/Territory | Canada |
City | Vancouver |
Period | 26/07/06 → 29/07/06 |