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Roles of working memory, syllogistic inferencing ability, and linguistic knowledge on second language listening comprehension for passages of different lengths ...
Kim, Minkyung; Nam, Yunjung; Crossley, Scott A.. - : SAGE Journals, 2022
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Roles of working memory, syllogistic inferencing ability, and linguistic knowledge on second language listening comprehension for passages of different lengths ...
Kim, Minkyung; Nam, Yunjung; Crossley, Scott A.. - : SAGE Journals, 2022
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3
Precision communication: Physicians’ linguistic adaptation to patients’ health literacy
In: Sci Adv (2021)
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4
Introduction of Methods Showcase Articles in Language Learning
Crossley, Scott; Marsden, Emma; Ellis, Nick. - : Routledge, 2020. : Wiley Periodicals, Inc., 2020
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5
Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study
In: Health Serv Res (2020)
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6
Please, Please, Just Tell Me: The Linguistic Features of Humorous Deception
In: Dialogue & Discourse; Vol 11 No 2 (2020); 128-149 ; 2152-9620 (2020)
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7
Sequence-to-Sequence Models for Automated Text Simplification
In: Artificial Intelligence in Education (2020)
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8
Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
In: J Biomed Inform (2020)
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9
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis
Crossley, Scott; Karumbaiah, Shamya; Ocumpaugh, Jaclyn; Labrum, Matthew J.; Baker, Ryan S.. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
Abstract: Previous studies have demonstrated strong links between students' linguistic knowledge, their affective language patterns and their success in math. Other studies have shown that demographic and click-stream variables in online learning environments are important predictors of math success. This study builds on this research in two ways. First, it combines linguistics and click-stream variables along with demographic information to increase prediction rates for math success. Second, it examines how random variance, as found in repeated participant data, can explain math success beyond linguistic, demographic, and click-stream variables. The findings indicate that linguistic, demographic, and click-stream factors explained about 14% of the variance in math scores. These variables mixed with random factors explained about 44% of the variance.
Keyword: click-stream variables; Data processing Computer science; math education; Natural language processing; online tutoring systems; text analytics
URN: urn:nbn:de:0030-drops-103895
URL: https://doi.org/10.4230/OASIcs.LDK.2019.25
https://drops.dagstuhl.de/opus/volltexte/2019/10389/
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Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis ...
Crossley, Scott; Karumbaiah, Shamya; Ocumpaugh, Jaclyn. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2019
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11
Inclusion of Research Materials When Submitting an Article to Language Learning
Marsden, Emma; Crossley, Scott; Ellis, Nick. - : Princeton University Press, 2019. : Wiley Periodicals, Inc., 2019
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12
Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study
In: J Gen Intern Med (2019)
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13
Effects of lexical features, textual properties, and individual differences on word processing times during second language reading comprehension [<Journal>]
Kim, Minkyung [Verfasser]; Crossley, Scott A. [Sonstige]; Skalicky, Stephen [Sonstige]
DNB Subject Category Language
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14
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : eScholarship, University of California, 2017
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : eScholarship, University of California, 2017
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16
Applying Natural Language Processing Tools to a Student Academic Writing Corpus: How Large are Disciplinary Differences Across Science and Engineering Fields?
In: English Publications (2017)
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging
Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : Hindawi Publishing Corporation, 2017
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Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality ...
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Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality ...
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20
To Aggregate or Not? Linguistic Features in Automatic Essay Scoring and Feedback Systems
In: Journal of Writing Assessment, vol 8, iss 1 (2015)
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