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ERIC Number: ED616146
Record Type: Non-Journal
Publication Date: 2020
Pages: 6
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-
EISSN: N/A
Predicting Reading Comprehension from Constructed Responses: Explanatory Retrievals as Stealth Assessment
McCarthy, Kathryn S.; Allen, Laura K.; Hinze, Scott R.
Grantee Submission, Paper presented at the International Conference on Artificial Intelligence in Education (AIED) (2020)
Open-ended "constructed responses" promote deeper processing of course materials. Further, evaluation of these explanations can yield important information about students' cognition. This study examined how students' constructed responses, generated at different points during learning, relate to their later comprehension outcomes. College students (N = 75) produced self-explanations "during" reading and explanatory retrievals "after" reading. The Constructed Response Assessment Tool (CRAT) was used to analyze these responses across multiple dimensions of language and relate these textual features to comprehension performance. Results indicate that the linguistic features of post-reading explanatory retrievals were more predictive of comprehension outcomes than self-explanations. Further, these models relied on different indices to predict performance. [This paper was published in: I. I. Bittencourt et al. (Eds.), "AIED 2020" (pp. 197-202). Switzerland: Springer Nature.]
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305A190063; R305A180261