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Andersen, Nico; Zehner, Fabian; Goldhammer, Frank – Journal of Computer Assisted Learning, 2023
Background: In the context of large-scale educational assessments, the effort required to code open-ended text responses is considerably more expensive and time-consuming than the evaluation of multiple-choice responses because it requires trained personnel and long manual coding sessions. Aim: Our semi-supervised coding method eco (exploring…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Jordan M. Wheeler; Allan S. Cohen; Shiyu Wang – Journal of Educational and Behavioral Statistics, 2024
Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…
Descriptors: Semantics, Educational Assessment, Evaluators, Reliability
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Yufan Zhao; Vahid Aryadoust – Language Testing, 2025
This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…
Descriptors: Semantics, Computational Linguistics, Academic Language, Second Language Learning
Akbar Bahari; Rui Li – Interactive Learning Environments, 2024
Given the important technology-assisted language learning (TALL)-empowered affordances, a comprehensive understanding of how these TALL tools facilitate learning across different language components, e.g., phonology, morphology, syntax, semantics, and pragmatics, could not only present the panoramic scenery of the subject matter but also inform…
Descriptors: Language Acquisition, Phonology, Morphology (Languages), Syntax
Yizhen Wang; Xiaolu Wang – Education and Information Technologies, 2024
Augmented Reality (AR) technology, as one of the emerging innovative technologies, is proven to have the potential to facilitate second language acquisition in terms of contextualized visualization and learning interactivity. Nevertheless, no empirical research has been conducted on the use of an AR-assisted approach to help adult Chinese language…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Adult Students
Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
van Dam, Wessel O.; Desai, Rutvik H. – Cognitive Science, 2017
There is considerable evidence that language comprehenders derive lexical-semantic meaning by mentally simulating perceptual and motor attributes of described events. However, the nature of these simulations--including the level of detail that is incorporated and contexts under which simulations occur--is not well understood. Here, we examine the…
Descriptors: Simulation, Sentences, Semantics, Comprehension
Rochelle Yi Hsuan Yang – Educational Research and Development Journal, 2024
The integration of augmented reality (AR) into children's literature has transformed traditional reading experiences, creating immersive and interactive environments that engage young readers. This study examines the creative methods of comic language within AR children's books, positing that the combination of humor and visual storytelling can…
Descriptors: Humor, Creativity, Language Usage, Books
Forthmann, Boris; Oyebade, Oluwatosin; Ojo, Adebusola; Günther, Fritz; Holling, Heinz – Journal of Creative Behavior, 2019
Scoring divergent-thinking response sets has always been challenging because such responses are not only open-ended in terms of number of ideas, but each idea may also be expressed by a varying number of concepts and, thus, by a varying number of words (elaboration). While many current studies have attempted to score the semantic distance in…
Descriptors: Semantics, Creative Thinking, Simulation, Correlation
Chung, Cheng-Yu; Awad, Nayif; Hsiao, I-Han – Australasian Journal of Educational Technology, 2021
Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We…
Descriptors: Problem Solving, Problem Based Learning, Cooperative Learning, Computer Simulation
Lazaridou, Angeliki; Marelli, Marco; Baroni, Marco – Cognitive Science, 2017
By the time they reach early adulthood, English speakers are familiar with the meaning of thousands of words. In the last decades, computational simulations known as distributional semantic models (DSMs) have demonstrated that it is possible to induce word meaning representations solely from word co-occurrence statistics extracted from a large…
Descriptors: English, Language Acquisition, Semantics, Models
Michael Li – Language Learning & Technology, 2023
The acquisition of Chinese characters has been widely acknowledged as challenging for learners of Chinese as a foreign language (CFL) due to their unique logographic nature and the time and effort involved. However, recent advancements in instructional technologies demonstrate a promising role in facilitating the teaching and learning of Chinese…
Descriptors: Orthographic Symbols, Technology Uses in Education, Teaching Methods, Research Reports
Grzyb, Beata J.; Nagai, Yukie; Asada, Minoru; Cattani, Allegra; Floccia, Caroline; Cangelosi, Angelo – Developmental Science, 2019
Young children sometimes attempt an action on an object, which is inappropriate because of the object size--they make scale errors. Existing theories suggest that scale errors may result from immaturities in children's action planning system, which might be overpowered by increased complexity of object representations or developing teleofunctional…
Descriptors: Error Patterns, Young Children, Cognitive Processes, 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