Paul Deane
Educational Testing Service, Research and Development, Department Member
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Research Interests: Psychology and Cognition
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This study investigates the effects of a scenario-based assessment design on students' writing processes. An experimental data set consisting of four design conditions was used in which the number of scenarios (one or two) and the... more
This study investigates the effects of a scenario-based assessment design on students' writing processes. An experimental data set consisting of four design conditions was used in which the number of scenarios (one or two) and the placement of the essay task with respect to the lead-in tasks (first vs. last) were varied. Students' writing processes on the essay task were recorded using keystroke logs. Each keystroke action was classified into one of four writing states: planning, text production, local edit, or jump edit, and a semi-Markov model was fit to the data. Results showed that the single-scenario and essay-last design encouraged fewer but longer editing states compared to the alternative designs. Additionally, this task ordering appeared to have enabled more fluent and efficient text production when paired with a sin- gle scenario. These results seem explainable from cognitive writing theory, particularly with respect to working memory load. Limitations and future d...
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Research Interests: Psychology and Narrative
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Keystroke logs are a valuable tool for writing research. Using large samples of student responses to two prompts targeting different writing purposes, we analyzed the longest 25 inter-word intervals in each keystroke log. The logs were... more
Keystroke logs are a valuable tool for writing research. Using large samples of student responses to two prompts targeting different writing purposes, we analyzed the longest 25 inter-word intervals in each keystroke log. The logs were extracted using the ETS keystroke logging engine. We found two distinct patterns of student writing processes associated with stronger and weaker writers, and an overall moderate association between the inter-word interval information and the quality of final product. The results suggest promise for the use of keystroke log analysis as a tool for describing patterns or styles of student writing processes.
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Proceedings of the Nineteenth Annual Meeting of the Berkeley Linguistics Society: General Session and Parasession on Semantic Typology and Semantic Universals (1993)
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Research Interests: Psychology and Medicine
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... to expository texts, increasingly sophisticated vocabulary, more complex syntactic patterns, and a wider variety of subject area topics (Alexander & Jetton ... scores ranging from 200 for beginning readers to above 1,700 for... more
... to expository texts, increasingly sophisticated vocabulary, more complex syntactic patterns, and a wider variety of subject area topics (Alexander & Jetton ... scores ranging from 200 for beginning readers to above 1,700 for advanced text (Stenner, 1996; Stenner, Horabin, Smith, & ...
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Results of the national reading report card show that too many of the nation's students are failing to reach reading and writing proficiency by the end of high school, and they are lagging behind in grade-level proficiency along the... more
Results of the national reading report card show that too many of the nation's students are failing to reach reading and writing proficiency by the end of high school, and they are lagging behind in grade-level proficiency along the way (National Center for Educational ...
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Page 1. Contents Volume 2 (1991) Roherfa Corrigan Sentences äs categories: Is there a basic-level sentence? 339-356 Paul D. Deane A cognitive theory of island phenomena l -63 Anne-Marie Diller The conceptual structure of linguistic action... more
Page 1. Contents Volume 2 (1991) Roherfa Corrigan Sentences äs categories: Is there a basic-level sentence? 339-356 Paul D. Deane A cognitive theory of island phenomena l -63 Anne-Marie Diller The conceptual structure of linguistic action verbs in Bahasa Indonesia 227-245 John Hewson Determiners äs heads 317-337 Julia Hirschberg and Gregory Ward Accent and bound anaphora 101-121 Penny Lee Whorf 's Hopi tensors: Subtle articulators in the language/ thought nexus? 123-147 Kiki Nikiforidou ...
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Proceedings of the Thirteenth Annual Meeting of the Berkeley Linguistics Society (1987), pp. 65-76
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The ability to distinguish statistically dif- ferent populations of speakers or writers can be an important asset in many NLP applications. In this paper, we describe a method of using document similarity measures to describe differences... more
The ability to distinguish statistically dif- ferent populations of speakers or writers can be an important asset in many NLP applications. In this paper, we describe a method of using document similarity measures to describe differences in be- havior between native and non-native speakers of English in a writing task.1
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ABSTRACT This paper presents a novel method of generating word similarity scores, using a term by n-gram context matrix which is compressed using Singular Value Decomposition, a statistical data analysis method that extracts the most... more
ABSTRACT This paper presents a novel method of generating word similarity scores, using a term by n-gram context matrix which is compressed using Singular Value Decomposition, a statistical data analysis method that extracts the most significant components of variation from a large data matrix, and which has previously been used in methods like Latent Semantic Analysis to identify latent semantic variables in text. We present the results of applying these scores to standard synonym benchmark tests, and argue on the basis of these results that our similarity metric represents an aspect of word usage which is largely orthogonal to that addressed by other methods, such as Latent Semantic Analysis. In particular, it appears that this method captures similarity with respect to the participation of words in grammatical constructions, at a level of generalization corresponding to broad syntacticosemantic classes such as body part terms, kin terms and the like. Aside from assessing word similarity, this method has promising applications in language modeling and automatic lexical acquisition.