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Tansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan M.; Linn, Marcia C. – International Journal of Artificial Intelligence in Education, 2017
Supporting students to revise their written explanations in science can help students to integrate disparate ideas and develop a coherent, generative account of complex scientific topics. Using natural language processing to analyze student written work, we compare forms of automated guidance designed to motivate productive revision and help…
Descriptors: Automation, Guidance, Revision (Written Composition), Natural Language Processing
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Feng, Hui-Hsien; Saricaoglu, Aysel; Chukharev-Hudilainen, Evgeny – CALICO Journal, 2016
Thanks to natural language processing technologies, computer programs are actively being used not only for holistic scoring, but also for formative evaluation of writing. CyWrite is one such program that is under development. The program is built upon Second Language Acquisition theories and aims to assist ESL learners in higher education by…
Descriptors: Error Patterns, Grammar, Language Proficiency, English (Second Language)
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Pham, Duc Huu – International Journal of Virtual and Personal Learning Environments, 2019
To help EFL learners realize the use of nominals and clauses in practicing productive skills of academic writing in English writing tests, experiments have been exploited using the tasks similar to those of internet-based test of English as a foreign language to determine the nominal and clause level information during sentence and paragraph…
Descriptors: English (Second Language), Writing Skills, Second Language Learning, Second Language Instruction
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Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
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Vega-Gorgojo, Guillermo; Bote-Lorenzo, Miguel L.; Asensio-Perez, Juan I.; Gomez-Sanchez, Eduardo; Dimitriadis, Yannis A.; Jorrin-Abellan, Ivan M. – Computers & Education, 2010
This paper introduces Ontoolsearch, a new search system that can be employed by educators in order to find suitable tools for supporting collaborative learning settings. Current tool search facilities commonly allow simple keyword searches, limiting the accuracy of obtained results. In contrast, Ontoolsearch supports semantic querying of tool…
Descriptors: Information Retrieval, Educational Resources, Comparative Analysis, Computer Software
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Jordan, Sally – Practitioner Research in Higher Education, 2009
Feedback on assessment tasks has an important part to play in underpinning student learning. Online assessment enables instantaneous feedback to be given so that the student can act on it immediately. However, concern has been expressed that e-assessment tasks (especially multiple-choice questions) can encourage surface-learning. Several projects…
Descriptors: Computer Assisted Testing, Feedback (Response), Accuracy, Computer Uses in Education
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Mildner, Vesna; Tomic, Diana – Clinical Linguistics & Phonetics, 2010
The authors studied the acquisition of nine #sC clusters in 30 Croatian-speaking phonologically disordered children, aged between 3;8-7;0 years, by analysing their renditions of target words elicited in response to visual stimuli presented on a computer screen. Results did not support the idea that a greater jump in sonority from C1 to C2 would…
Descriptors: Foreign Countries, Language Processing, Visual Stimuli, Speech Communication
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White, Daniel R.; Joy, Mike S. – Journal on Educational Resources in Computing, 2004
With the increasing levels of access to higher education in the United Kingdom, larger class sizes make it unrealistic for tutors to be expected to identify instances of peer-to-peer plagiarism by eye and so automated solutions to the problem are required. This document details a novel algorithm for comparison of suspect documents at a sentence…
Descriptors: Plagiarism, Computer Software, Foreign Countries, Natural Language Processing