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Aldabe, Itziar; Maritxalar, Montse – IEEE Transactions on Learning Technologies, 2014
The work we present in this paper aims to help teachers create multiple-choice science tests. We focus on a scientific vocabulary-learning scenario taking place in a Basque-language educational environment. In this particular scenario, we explore the option of automatically generating Multiple-Choice Questions (MCQ) by means of Natural Language…
Descriptors: Science Tests, Test Construction, Computer Assisted Testing, Multiple Choice Tests
Donnelly, Dermot F.; Vitale, Jonathan M.; Linn, Marcia C. – Journal of Science Education and Technology, 2015
Middle school students struggle to explain thermodynamics concepts. In this study, to help students succeed, we use a natural language processing program to analyze their essays explaining the aspects of thermodynamics and provide guidance based on the automated score. The 346 sixth-grade students were assigned to either the critique condition…
Descriptors: Middle School Students, Grade 6, Secondary School Science, Thermodynamics
Ping, Aminah Ma; Baranovich, Diana-Lea; Manueli, Maria Khristina; Siraj, Saedah – Asia-Pacific Education Researcher, 2015
Promoting students' self-regulatory capacity in vocabulary learning has been one of the instructional goals in language education. Learning strategies and motivational beliefs (e.g., self-efficacy) are the key, interrelated factors of self-regulated learning, which are crucial for learners' academic performance. This study investigated Chinese…
Descriptors: Metacognition, Vocabulary Development, Word Frequency, Learning Strategies
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
Snow, Erica L.; Allen, Laura K.; Jacovina, Matthew E.; Crossley, Scott A.; Perret, Cecile A.; McNamara, Danielle S. – Journal of Learning Analytics, 2015
Writing researchers have suggested that students who are perceived as strong writers (i.e., those who generate texts rated as high quality) demonstrate flexibility in their writing style. While anecdotally this has been a commonly held belief among researchers and educators, there is little empirical research to support this claim. This study…
Descriptors: Writing (Composition), Writing Strategies, Hypothesis Testing, Essays
Snow, Erica L.; Allen, Laura K.; Jacovina, Matthew E.; Crossley, Scott A.; Perret, Cecile A.; McNamara, Danielle S. – Grantee Submission, 2015
Writing researchers have suggested that students who are perceived as strong writers (i.e., those who generate texts rated as high quality) demonstrate flexibility in their writing style. While anecdotally this has been a commonly held belief among researchers and educators, there is little empirical research to support this claim. This study…
Descriptors: Writing (Composition), Writing Strategies, Hypothesis Testing, Essays
Schroeder, Sascha – Journal of Research in Reading, 2013
Many low-skill readers have problems with visual word recognition. In particular, low-skill readers show a substantial nonword reading deficit that is attributed to deficits in sub-lexical processing. In this study, I examined whether the nonword deficits of German 14-year-old low-skill readers were associated with inefficient use of multi-letter…
Descriptors: German, Reading, Reading Skills, Reading Difficulties
Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2017
In this chapter, we describe several intelligent tutoring systems (ITSs) designed to support student literacy through reading comprehension and writing instruction and practice. Although adaptive instruction can be a powerful tool in the literacy domain, developing these technologies poses significant challenges. For example, evaluating the…
Descriptors: Intelligent Tutoring Systems, Literacy Education, Educational Technology, Technology Uses in Education
Katz, Sandra; Jordan, Pamela; Litman, Diane – Society for Research on Educational Effectiveness, 2011
The natural-language tutorial dialogue system that the authors are developing will allow them to focus on the nature of interactivity during tutoring as a malleable factor. Specifically, it will serve as a research platform for studies that manipulate the frequency and types of verbal alignment processes that take place during tutoring, such as…
Descriptors: Natural Language Processing, Physics, Logical Thinking, Intelligent Tutoring Systems
Crossley, Scott A.; Roscoe, Rod; McNamara, Danielle S. – Written Communication, 2014
This study identifies multiple profiles of successful essays via a cluster analysis approach using linguistic features reported by a variety of natural language processing tools. The findings from the study indicate that there are four profiles of successful writers for the samples analyzed. These four profiles are linguistically distinct from one…
Descriptors: Essays, Natural Language Processing, Computational Linguistics, Multivariate Analysis
Lockiewicz, Marta; Jaskulska, Martyna – Center for Educational Policy Studies Journal, 2015
The aim of our study was to examine the relationship between access to the mental lexicon, working memory and knowledge of English (L2) vocabulary. Analyses were undertaken amongst monolingual speakers of Polish (26 with dyslexia, 24 without) who studied English as a second language as part of their compulsory educational programme at school. We…
Descriptors: Vocabulary Skills, Questionnaires, Short Term Memory, Verbal Ability
Schiff, Rachel; Raveh, Michal; Fighel, Avital – Scientific Studies of Reading, 2012
This study investigated the effect of semantic inconsistency of roots on morphological processing to explore the development of morphological representations within the mental lexicon. We examined masked priming of Hebrew words of changing semantic transparency at two reading levels. The results revealed a disparity in the performance of fourth…
Descriptors: Semitic Languages, Morphology (Languages), Language Processing, Priming
Berninger, Virginia; Abbott, Robert; Cook, Clayton R.; Nagy, William – Journal of Learning Disabilities, 2017
Relationships between attention/executive functions and language learning were investigated in students in Grades 4 to 9 (N = 88) with and without specific learning disabilities (SLDs) in multiword syntax in oral and written language (OWL LD), word reading and spelling (dyslexia), and subword letter writing (dysgraphia). Prior…
Descriptors: Correlation, Attention Control, Executive Function, Multiple Regression Analysis
Minichino, Mario; Berson, Michael J. – SRATE Journal, 2012
This article is an exploration of the available applications for speech to speech real-time translation software for use in the classroom. Three different types of machine language translation (MLT) software and devices are reviewed for their features and practical application in secondary education classrooms.
Descriptors: Translation, Computer Software, Courseware, Computational Linguistics
Deane, Paul; Lawless, René R.; Li, Chen; Sabatini, John; Bejar, Isaac I.; O'Reilly, Tenaha – ETS Research Report Series, 2014
We expect that word knowledge accumulates gradually. This article draws on earlier approaches to assessing depth, but focuses on one dimension: richness of semantic knowledge. We present results from a study in which three distinct item types were developed at three levels of depth: knowledge of common usage patterns, knowledge of broad topical…
Descriptors: Vocabulary, Test Items, Language Tests, Semantics