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Afonso, Olivia; Carbajo, Marina; Martínez-García, Cristina; Suárez-Coalla, Paz – Reading and Writing: An Interdisciplinary Journal, 2022
Previous work in English has found that the spelling difficulties of children with dyslexia affect the overall quality attributed to their written compositions. The aim of this study was to investigate whether different processes related to transcription, translation and ideas proposing/planning are affected in developmental dyslexia and to what…
Descriptors: Dyslexia, Reading Difficulties, Writing (Composition), Grade 4
Lee, Eun-Kyung; Fraundorf, Scott – Studies in Second Language Acquisition, 2022
We examined what causes L1-L2 differences in sensitivity to prominence cues in discourse processing. Participants listened to recorded stories in segment-by-segment fashion at their own pace. Each story established a pair of contrasting items, and one item from the pair was rementioned and manipulated to carry either a contrastive or…
Descriptors: Native Language, Second Language Learning, Intonation, Korean
Düzenli-Öztürk, Seren; Hünerli-Gündüz, Duygu; Emek-Savas, Derya Durusu; Olichney, John; Yener, Görsev G.; Ergenç, H. Iclal – Journal of Psycholinguistic Research, 2022
Semantic priming in Turkish was examined in 36 right-handed healthy participants in a delayed lexical decision task via taxonomic relations using EEG. Prime--target relations included related- unrelated- and pseudo-words. Taxonomically related words at long stimulus onset asynchrony (SOA) were shown to modulate N400 and late positive component…
Descriptors: Taxonomy, Semantics, Priming, Turkish
Onnis, Luca; Lim, Alfred; Cheung, Shirley; Huettig, Falk – Cognitive Science, 2022
Prediction is one characteristic of the human mind. But what does it mean to say the mind is a "prediction machine" and "inherently forward looking" as is frequently claimed? In natural languages, many contexts are not easily predictable in a forward fashion. In English, for example, many frequent verbs do not carry unique…
Descriptors: Prediction, Language Processing, Reading Processes, Task Analysis
Jiao, Lu; Timmer, Kalinka; Liu, Cong; Chen, Baoguo – Cognitive Science, 2022
The relationship between bilingual language control and executive control is debated. The present study investigated the effect of short-term language switching in a comprehension task on executive control performance in unbalanced bilinguals. Participants were required to perform a context task and an executive control task (i.e., flanker task)…
Descriptors: Bilingualism, Code Switching (Language), Executive Function, Task Analysis
Al Shamsi, Jawaher Hamad; Al-Emran, Mostafa; Shaalan, Khaled – Education and Information Technologies, 2022
Artificial intelligence (AI)-based voice assistants have become an essential part of our daily lives. Yet, little is known concerning what motivates students to use them in educational activities. Therefore, this research develops a theoretical model by extending the technology acceptance model (TAM) with subjective norm, enjoyment, facilitating…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Usability
Iris M. Strangmann – ProQuest LLC, 2022
Neurophysiological sentence processing studies are inconsistent about the additional costs that language switching within sentences (i.e., codeswitching) may bring about (cf. Valdes Kroff et al., 2020; Yacovone et al., 2021). There is discussion about whether there are, in fact, additional costs and, if so, about the origins of those costs, since…
Descriptors: Code Switching (Language), Language Usage, Sentences, Indo European Languages
Lahiru Ariyananda – ProQuest LLC, 2022
DEVS (Discrete Event System Specification) is a formalism that was introduced in the mid-1970s by Bernard Zeigler, for modeling and analysis of discrete event systems. DEVS is essentially a formal mathematical language for specifying complex systems through models that can be simulated and has been executed in object-oriented software, DEVSJava…
Descriptors: Active Learning, Programming, Computer Software, Computer Science Education
Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
Arenillas-Alcón, Sonia; Ribas-Prats, Teresa; Puertollano, Marta; Mondéjar-Segovia, Alejandro; Gómez-Roig, María Dolores; Costa-Faidella, Jordi; Escera, Carles – Developmental Science, 2023
Fetal hearing experiences shape the linguistic and musical preferences of neonates. From the very first moment after birth, newborns prefer their native language, recognize their mother's voice, and show a greater responsiveness to lullabies presented during pregnancy. Yet, the neural underpinnings of this experience inducing plasticity have…
Descriptors: Prenatal Influences, Neonates, Music, Speech
Karakose, Turgut; Demirkol, Murat; Aslan, Nurcihan; Köse, Hüseyin; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, an AI-powered chatbot designed with generative pre-trained transformer architecture, have intrigued millions of people from diverse backgrounds since its first release, and generated excitement with its groundbreaking performance in numerous use cases they have been tested. Its ability to generate coherent and…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Scientific Research
Prueitt, Ethan; Yates, Mark – Journal of Research in Reading, 2023
Background: Previous research has shown that the emotional content of words affects how quickly they are recognised. One recent measure of word emotionality is emotional experience that measures the degree to which reading a word can invoke emotional experiences tied to the word. Words that are higher in emotional experience are recognised more…
Descriptors: Emotional Response, Language Usage, Language Processing, Task Analysis
Liao, Xian; Cai, Mingjia; Hung, Cathy On-Ying – Reading Research Quarterly, 2023
Robust relation has been revealed previously between the components of executive function (EF) and reading comprehension performance. However, the specific role of EF in the reading processes remains relatively underexplored. Within the framework of the lexical quality hypothesis (LQH), this study examined the contribution of EF to the lexical…
Descriptors: Executive Function, Language Processing, Reading Comprehension, Reading Achievement
Curtis, Philip R.; Estabrook, Ryne; Roberts, Megan Y.; Weisleder, Adriana – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Late talkers (LTs) are a group of children who exhibit delays in language development without a known cause. Although a hallmark of LTs is a reduced expressive vocabulary, little is known about LTs' processing of semantic relations among words in their emerging vocabularies. This study uses an eye-tracking task to compare 2-year-old LTs'…
Descriptors: Monolingualism, Delayed Speech, Vocabulary Development, Toddlers
Sauppe, Sebastian; Naess, Åshild; Roversi, Giovanni; Meyer, Martin; Bornkessel-Schlesewsky, Ina; Bickel, Balthasar – Cognitive Science, 2023
The language comprehension system preferentially assumes that agents come first during incremental processing. While this might reflect a biologically fixed bias, shared with other domains and other species, the evidence is limited to languages that place agents first, and so the bias could also be learned from usage frequency. Here, we probe the…
Descriptors: Language Processing, Diagnostic Tests, Patients, Nouns