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Showing 1 to 15 of 16 results Save | Export
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Qiao, Chen; Hu, Xiao – IEEE Transactions on Learning Technologies, 2023
Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…
Descriptors: Computer Assisted Testing, Automation, Test Items, Semantics
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Mengliyev, Bakhtiyor; Shahabitdinova, Shohida; Khamroeva, Shahlo; Gulyamova, Shakhnoza; Botirova, Adiba – Journal of Language and Linguistic Studies, 2021
This article is dedicated to the issue of morphological analysis and synthesis of word forms in a linguistic analyzer, which is a significant feature of corpus linguistics. The article discourses in detail the morphological analysis, the creation of artificial language, grammar and analyzer, the general scheme of the analysis program that…
Descriptors: Morphology (Languages), Computational Linguistics, Computer Software, Artificial Languages
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Sanchez-Ferreres, Josep; Delicado, Luis; Andaloussi, Amine Abbab; Burattin, Andrea; Calderon-Ruiz, Guillermo; Weber, Barbara; Carmona, Josep; Padro, Lluis – IEEE Transactions on Learning Technologies, 2020
The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…
Descriptors: Models, Automation, Validity, Natural Language Processing
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Fuentes-Lorenzo, Damaris; Morato, Jorge; Sanchez-Cuadrado, Sonia; Sanchez, Luis – Education for Information, 2019
Building and checking concept maps is an active research topic in visual learning. Concept maps are intended to show visual representations of interrelated concepts in educational and professional settings. For the last decades, numerous formulas have been proposed to compute the semantic proximity between any pair of concepts in the map. A review…
Descriptors: Concept Mapping, Web Sites, Collaborative Writing, Information Sources
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Lezcano, Leonardo; Sanchez-Alonso, Salvador; Roa-Valverde, Antonio J. – Program: Electronic Library and Information Systems, 2013
Purpose: The purpose of this paper is to provide a literature review of the principal formats and frameworks that have been used in the last 20 years to exchange linguistic resources. It aims to give special attention to the most recent approaches to publishing linguistic linked open data on the Web. Design/methodology/approach: Research papers…
Descriptors: Information Transfer, Data, Computational Linguistics, Internet
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Farrus, Mireia; Costa-jussa, Marta R. – International Review of Research in Open and Distance Learning, 2013
Assessment in education allows for obtaining, organizing, and presenting information about how much and how well the student is learning. The current paper aims at analysing and discussing some of the most state-of-the-art assessment systems in education. Later, this work presents a specific use case developed for the Universitat Oberta de…
Descriptors: Semantics, Electronic Learning, Feedback (Response), Evaluation
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
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Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – International Journal of Artificial Intelligence in Education, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
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Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
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Wen, Dunwei; Cuzzola, John; Brown, Lorna; Kinshuk – International Review of Research in Open and Distance Learning, 2012
Question answering systems have frequently been explored for educational use. However, their value was somewhat limited due to the quality of the answers returned to the student. Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) in order to improve these answers. However, current NLP…
Descriptors: Language Processing, Natural Language Processing, Distance Education, Online Courses
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Gutl, Christian; Lankmayr, Klaus; Weinhofer, Joachim; Hofler, Margit – Electronic Journal of e-Learning, 2011
Research in automated creation of test items for assessment purposes became increasingly important during the recent years. Due to automatic question creation it is possible to support personalized and self-directed learning activities by preparing appropriate and individualized test items quite easily with relatively little effort or even fully…
Descriptors: Test Items, Semantics, Multilingualism, Language Processing
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Hertwig, Ralph; Benz, Bjorn; Krauss, Stefan – Cognition, 2008
According to the conjunction rule, the probability of A "and" B cannot exceed the probability of either single event. This rule reads "and" in terms of the logical operator [inverted v], interpreting A and B as an intersection of two events. As linguists have long argued, in natural language "and" can convey a wide range of relationships between…
Descriptors: Semantics, Form Classes (Languages), Probability, Inferences
Hussain, Fehmida – International Association for Development of the Information Society, 2012
Web 3.0, termed as the semantic web or the web of data is the transformed version of Web 2.0 with technologies and functionalities such as intelligent collaborative filtering, cloud computing, big data, linked data, openness, interoperability and smart mobility. If Web 2.0 is about social networking and mass collaboration between the creator and…
Descriptors: Foreign Countries, Electronic Learning, Learning Theories, Data
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Bateman, John; Tenbrink, Thora; Farrar, Scott – Discourse Processes: A Multidisciplinary Journal, 2007
This article argues that a clear division between two sources of information--one oriented to world knowledge, the other to linguistic semantics--offers a framework within which mechanisms for modelling the highly flexible relation between language and interpretation necessary for natural discourse can be specified and empirically validated.…
Descriptors: Semantics, Linguistics, Teaching Methods, Models
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Kreymer, Oleg – Online Information Review, 2002
Evaluates the current state of natural language processing information retrieval systems from the user's point of view, focusing on the structure and components of the systems' help mechanisms. Topics include user/system interaction; semantic parsing; syntactic parsing; semantic mapping; and concept matching. (Author/LRW)
Descriptors: Evaluation Methods, Information Retrieval, Man Machine Systems, Natural Language Processing
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