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Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Data Mining, 2016
This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…
Descriptors: Essays, Scoring, Writing Evaluation, Natural Language Processing
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Hwu, Fenfang – Computer Assisted Language Learning, 2013
Using script-based tracking to gain insights into the way students learn or process language information can be traced as far back as to the 1980s. Nevertheless, researchers continue to face challenges in collecting and studying this type of data. The objective of this study is to propose data sharing through data repositories as a way to (a) ease…
Descriptors: Language Processing, Second Language Learning, Data, Information Transfer
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Sood, Vishal – Journal on Educational Psychology, 2013
For identifying children with four major kinds of verbal learning disabilities viz. reading disability, speech and language comprehension disability, writing disability and mathematics disability, the present task was undertaken to construct and standardize verbal learning disabilities checklist. This checklist was developed by keeping in view the…
Descriptors: Verbal Learning, Learning Disabilities, Children, Disability Identification
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Moser, Dana C.; Fridriksson, Julius; Healy, Eric W. – Clinical Linguistics & Phonetics, 2007
Although the role of working memory in sentence comprehension has received substantial attention, the nature of this relationship remains unclear. The purpose of this study was to examine the interaction between general, nonverbal working memory (WM) and sentence parsing (SP) in normal English-speaking adults. Accuracy and reaction times were…
Descriptors: Memory, Young Adults, Sentences, Correlation
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Caplan, David; And Others – Language and Cognitive Processes, 1994
Reports five experiments; the first two assessed the effect of the selectional restriction requirements of verbs and the animacy of nouns on sentence comprehension, the third determined the cause of the interaction found in the first set of studies, and the fourth and fifth were self-paced reading experiments. (52 references) (Author/CK)
Descriptors: College Students, Conceptual Tempo, Data Analysis, Graphs
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection