Coh-Metrix indices predicting college writing quality fail for low-skilled adults, for whom ten other indices are predictive¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Three Coh-Metrix indices previously sufficient for average-performing college students were not good predictors for low-skilled adults, while ten other Coh-Metrix indices were predictive for that population. → Passonneau 2017

Evidence¶

Passonneau 2017¶

Passonneau, R. J., McNamara, D., Muresan, S., & Perin, D. (2017). Preface: Special Issue on Multidisciplinary Approaches to AI and Education for Reading and Writing. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-017-0158-8

q2 · i? · review · r2

The editors report, citing Perin and Lauterbach, automated essay scoring of text-based summaries and persuasive essays for low-skilled adults; "ten other Coh-Metrix indices were identified that were predictive for this population". No coefficients are printed.

"While these indices are not good predictors for the low-performing adults, ten other Coh-Metrix indices were identified that were predictive for this population."

Discussion¶

Learner Variables¶

• Writing Skills — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Intelligence tests sometimes fail to predict college performance because character and temperament qualities play a deciding role — related
• Training in text structure improves college students' summaries, but summarizing has not been shown here to improve recall or writing more than rereading or other active reading — related
• The ten special-issue papers collectively indicate near-term feasibility of automated guidance and feedback on reading and writing skills — a broader claim this one bears on