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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
Duta, Mihaela; Plunkett, Kim – Child Development, 2023
We present a neural network model of referent identification in a visual world task. Inputs are visual representations of item pairs unfolding with sequences of phonemes identifying the target item. The model is trained to output the semantic representation of the target and to suppress the distractor. The training set uses a 200-word lexicon…
Descriptors: Networks, Models, Brain, Child Language
Gary, Lee P., Jr.; Richmond, Scott; Spiewak, Daryl – Online Submission, 2023
This presentation highlights the challenges of establishing a consistent application of the two terms, "threats" and "hazards," in academic courses and professional training, designed for emergency, disaster, and humanitarian management programs offered by public and private higher education, government agencies, and…
Descriptors: Professional Education, Emergency Programs, Natural Disasters, Administration
Löhr, Guido; Michel, Christian – Cognitive Science, 2022
We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…
Descriptors: Cognitive Processes, Intuition, Decision Making, Ethics
Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Memory, Inferences, Syntax
Smith, Garrett; Franck, Julie; Tabor, Whitney – Cognitive Science, 2018
We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases (e.g., "a bottle of pills"). We first show that notional plurality ratings (numerosity judgments for subject noun phrases) predict verb agreement choices in…
Descriptors: Sentence Structure, Sentences, Grammar, Form Classes (Languages)
Lilliedahl, Jonathan – Pedagogies: An International Journal, 2018
Educational research has shown the importance of adopting a multimodal approach to pedagogy by combining, integrating, and organizing diverse semiotic resources for learning. As aesthetic content and forms are significant aspects of multimodality, arts integration is crucial to achieve multimodal knowledge practices. In this paper, we develop a…
Descriptors: Aesthetics, Aesthetic Education, Art Education, Integrated Activities
Banjade, Rajendra; Rus, Vasile – International Educational Data Mining Society, 2019
Automatic answer assessment systems typically apply semantic similarity methods where student responses are compared with some reference answers in order to access their correctness. But student responses in dialogue based tutoring systems are often grammatically and semantically incomplete and additional information (e.g., dialogue history) is…
Descriptors: Dialogs (Language), Probability, Intelligent Tutoring Systems, Semantics
Fesharaki, Mehdi N.; Fetanat, AbdolHamid; Shooshtari, Davood Farajian – Cogent Education, 2020
How is the future of the Web, as one of the most influential inventions of the twentieth century? Today, there are great conceptual gaps between the Web 2.0 (Social Web), Web 3.0 (Semantic Web), and Web 4.0 (Pragmatic Web) generations. Every generation of Web is merely an independent conceptual branch of Web and the future Web needs to benefit…
Descriptors: Information Technology, Web 2.0 Technologies, Futures (of Society), Semantics
Brouwer, Harm; Crocker, Matthew W.; Venhuizen, Noortje J.; Hoeks, John C. J. – Cognitive Science, 2017
Ten years ago, researchers using event-related brain potentials (ERPs) to study language comprehension were puzzled by what looked like a "Semantic Illusion": Semantically anomalous, but structurally well-formed sentences did not affect the N400 component--traditionally taken to reflect semantic integration--but instead produced a P600…
Descriptors: Diagnostic Tests, Brain Hemisphere Functions, Language Processing, Semantics
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
Ambridge, Ben – First Language, 2020
The goal of this article is to make the case for a radical exemplar account of child language acquisition, under which unwitnessed forms are produced and comprehended by on-the-fly analogy across multiple stored exemplars, weighted by their degree of similarity to the target with regard to the task at hand. Across the domains of (1) word meanings,…
Descriptors: Language Acquisition, Morphology (Languages), Phonetics, Phonology
Mitrovic, Antonija; Suraweera, Pramuditha – International Journal of Artificial Intelligence in Education, 2016
Design tasks are difficult to teach, due to large, unstructured solution spaces, underspecified problems, non-existent problem solving algorithms and stopping criteria. In this paper, we comment on our approach to develop KERMIT, a constraint-based tutor that taught database design. In later work, we re-implemented KERMIT as EER-Tutor, and…
Descriptors: Database Design, Intelligent Tutoring Systems, Problem Solving, Semantics
Alhasan, Khawla; Chen, Liming; Chen, Feng – International Association for Development of the Information Society, 2017
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…
Descriptors: Semantics, Models, Cognitive Style, Electronic Learning