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Pelánek, Radek – International Journal of Artificial Intelligence in Education, 2022
Educational technology terminology is messy. The same meaning is often expressed using several terms. More confusingly, some terms are used with several meanings. This state is unfortunate, as it makes both research and development more difficult. Terminology is particularly important in the case of personalization techniques, where the nuances of…
Descriptors: Educational Technology, Semantics, Vocabulary, Misconceptions
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Chang, Ya-Ning; Monaghan, Padraic – Scientific Studies of Reading, 2019
Diversity of vocabulary knowledge and quantity of language exposure prior to literacy are key predictors of reading development. However, diversity and quantity of exposure are difficult to distinguish in behavioural studies, and so the causal relations with literacy are not well known. We tested these relations by training a connectionist…
Descriptors: Linguistic Input, Literacy, Prereading Experience, Vocabulary
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Hameed, Ansa; Jabeen, Ismat; Khan, Aalia Mehar – Arab World English Journal, 2020
The need for transformation has led kingdom to envision and encode the Saudi Vision 2030 document; it is not merely an idealistic divination but a manuscript with an appropriate plan to accomplish its anticipated economic and social goals. In fact, planning is a critical factor in the document, which shapes it as a discourse of realization and…
Descriptors: Semantics, Discourse Analysis, Strategic Planning, Economic Development
Ruthe Foushee; Dan Byrne; Marisa Casillas; Susan Goldin-Meadow – Grantee Submission, 2022
Linguistic alignment--the contingent reuse of our interlocutors' language at all levels of linguistic structure--pervades human dialogue. Here, we design unique measures to capture the degree of linguistic alignment between interlocutors' linguistic representations at three levels of structure: lexical, syntactic, and semantic. We track these…
Descriptors: Semantics, Syntax, Vocabulary Skills, Models
Jones, Michael N.; Gruenenfelder, Thomas M.; Recchia, Gabriel – Grantee Submission, 2017
Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…
Descriptors: Semantics, Computational Linguistics, Spatial Ability, Proximity
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Sinclair, Jeanne; Jang, Eunice Eunhee; Rudzicz, Frank – Journal of Educational Psychology, 2021
Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…
Descriptors: Prediction, Reading Comprehension, Natural Language Processing, Speech Communication
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Lozano, Esther; Gracia, Jorge; Corcho, Oscar; Noble, Richard A.; Gómez-Pérez, Asunción – Interactive Learning Environments, 2015
Problem-based learning has been applied over the last three decades to a diverse range of learning environments. In this educational approach, different problems are posed to the learners so that they can develop different solutions while learning about the problem domain. When applied to conceptual modelling, and particularly to Qualitative…
Descriptors: Problem Based Learning, Semantics, Models, Qualitative Research
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Bejar, Isaac I.; Deane, Paul D.; Flor, Michael; Chen, Jing – ETS Research Report Series, 2017
The report is the first systematic evaluation of the sentence equivalence item type introduced by the "GRE"® revised General Test. We adopt a validity framework to guide our investigation based on Kane's approach to validation whereby a hierarchy of inferences that should be documented to support score meaning and interpretation is…
Descriptors: College Entrance Examinations, Graduate Study, Generalization, Inferences
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Roelofs, Ardi; Dijkstra, Ton; Gerakaki, Svetlana – Bilingualism: Language and Cognition, 2013
Whereas most theoretical and computational models assume a continuous flow of activation from concepts to lexical items in spoken word production, one prominent model assumes that the mapping of concepts onto words happens in a discrete fashion (Bloem & La Heij, 2003). Semantic facilitation of context pictures on word translation has been taken to…
Descriptors: Semantics, Translation, Computer Simulation, Computational Linguistics
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Schoor, Cornelia; Narciss, Susanne; Körndle, Hermann – Educational Psychologist, 2015
This article reviews the terms and concepts that have been used for describing regulation of learning during cooperative and collaborative learning and suggests differentiating them on the basis of which parts of a regulatory feedback loop model are being shared. During cooperative and collaborative learning, not only self-regulation but also the…
Descriptors: Cooperative Learning, Self Management, Group Dynamics, Vocabulary
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Pritchard, Stephen C.; Coltheart, Max; Palethorpe, Sallyanne; Castles, Anne – Journal of Experimental Psychology: Human Perception and Performance, 2012
Two prominent dual-route computational models of reading aloud are the dual-route cascaded (DRC) model, and the connectionist dual-process plus (CDP+) model. While sharing similarly designed lexical routes, the two models differ greatly in their respective nonlexical route architecture, such that they often differ on nonword pronunciation. Neither…
Descriptors: Foreign Countries, Reading Research, Learning Theories, Vocabulary
McNamara, Danielle S.; Crossley, Scott A.; Roscoe, Rod – Grantee Submission, 2013
The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Writing Instruction, Feedback (Response)
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Goodwin, Amanda P.; Gilbert, Jennifer K.; Cho, Sun-Joo – Reading Research Quarterly, 2013
The current study uses a crossed random-effects item response model to simultaneously examine both reader and word characteristics and interactions between them that predict the reading of 39 morphologically complex words for 221 middle school students. Results suggest that a reader's ability to read a root word (e.g., "isolate") predicts that…
Descriptors: Item Response Theory, Morphemes, Semantics, Reading Comprehension
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Riordain, Maire Ni; O'Donoghue, John – Mathematics Education Research Journal, 2011
The explosion of Gaeilge (Irish)-medium primary and secondary schools has played a crucial role in the rebirth of our native language in Ireland. The popularity of attending Gaeilge-medium education is significant, and continues to increase annually ("Gaeilscoileanna Teo" 2008). However, the majority of Gaeilgeoiri (students who learn…
Descriptors: Mathematics Education, Semantics, Syntax, Foreign Countries
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