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Todd Cherner; Teresa S. Foulger; Margaret Donnelly – TechTrends: Linking Research and Practice to Improve Learning, 2025
The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…
Descriptors: Artificial Intelligence, Natural Language Processing, Decision Making, Models
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Samar Ibrahim; Ghazala Bilquise – Education and Information Technologies, 2025
Language is an essential component of human communication and interaction. Advances in Artificial Intelligence (AI) technology, specifically in Natural Language Processing (NLP) and speech-recognition, have made is possible for conversational agents, also known as chatbots, to converse with language learners in a way that mimics human speech.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Benchmarking
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Danah Henriksen; Punya Mishra; Lauren Woo; Nicole Oster – Impacting Education: Journal on Transforming Professional Practice, 2025
The emergence of generative artificial intelligence (GenAI) fundamentally shifts how educational knowledge is created, shared, and validated. Through the lens of epistemic technologies--tools that transform knowledge creation and dissemination--we analyze how GenAI challenges traditional notions of practical wisdom in education doctorate (EdD)…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing
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Stephanie Moore; Amir Hedayati-Mehdiabadi; Victor Law; Sung Pil Kang – TechTrends: Linking Research and Practice to Improve Learning, 2024
Early hype cycles surrounding new technologies may promote simplistic binary options of either adoption or rejection, but socio-historical analyses of technologies illuminate how they are worked into shape by human actors. Humans enact agency through many choices that result in adaptations and contextual variations. In this piece, we argue that…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Ethics
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Lidz, Jeffrey – Language Acquisition: A Journal of Developmental Linguistics, 2023
A fundamental question in psycholinguistics concerns how grammatical structure contributes to real-time sentence parsing and understanding. While many argue that grammatical structure is only loosely related to on-line parsing, others hold the view that the two are tightly linked. Here, I use the incremental growth of grammatical structure in…
Descriptors: Grammar, Syntax, Psycholinguistics, Decision Making
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Ramotowska, Sonia; Steinert-Threlkeld, Shane; Maanen, Leendert; Szymanik, Jakub – Cognitive Science, 2023
According to logical theories of meaning, a meaning of an expression can be formalized and encoded in truth conditions. Vagueness of the language and individual differences between people are a challenge to incorporate into the meaning representations. In this paper, we propose a new approach to study truth-conditional representations of vague…
Descriptors: Computation, Models, Semantics, Decision Making
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Stephen J. Lupker; Giacomo Spinelli – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Rastle et al. (2004) reported that true (e.g., walker) and pseudo (e.g., corner) multi-morphemic words prime their stem words more than form controls do (e.g., brothel priming BROTH) in a masked priming lexical decision task. This data pattern has led a number of models to propose that both of the former word types are "decomposed" into…
Descriptors: Models, Morphemes, Priming, Vocabulary
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Ayse Merzifonluoglu; Habibe Gunes – European Journal of Education, 2025
Artificial intelligence (AI) is significantly shaping education and currently influencing pre-service teachers' academic and professional journeys. To explore this influence, the present study examines 389 Generation Z pre-service teachers' attitudes towards AI and its impact on educational decision-making at two state universities, using an…
Descriptors: Decision Making, Artificial Intelligence, Teacher Attitudes, Age Groups
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Joshua Matthews; Catherine Rita Volpe – Australasian Journal of Educational Technology, 2023
Artificial intelligence (AI) technology, such as Chat Generative Pre-trained Transformer (ChatGPT), is evolving quickly and having a significant impact on the higher education sector. Although the impact of ChatGPT on academic integrity processes is a key concern, little is known about whether academics can reliably recognise texts that have been…
Descriptors: Artificial Intelligence, Natural Language Processing, Identification, Teacher Attitudes
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Dominguez, Alberto; Santos, Anthea; Fu, Yang – Journal of Psycholinguistic Research, 2023
In Spanish, the plural form in plural dominant frequency pairs, like "diente/dientes" [tooth/teeth], occurs more frequently than the corresponding singular form. On the other hand, for the singular dominant frequency pairs such as "cometa/cometas" [kite/kites], the singular form is more common than the plural. The recognition…
Descriptors: Spanish, Numbers, Form Classes (Languages), Morphemes
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Haiquan Huang; Hui Cheng; Lina Qian; Yixiong Chen; Peng Zhou – Journal of Psycholinguistic Research, 2024
"Wh"-words have been analysed as existential quantifiers (Chierchia in Logic in grammar: polarity, free choice, and intervention. Oxford University Press, Oxford, 2013; Fox, in Sauerland U, Stateva P (eds) Presupposition and implicature in compositional semantics (Palgrave studies in pragmatics, language and cognition). Palgrave…
Descriptors: Mandarin Chinese, Child Language, Language Acquisition, Prediction
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Wang, Shenshen; Sun, Chao; Tian, Ye; Breheny, Richard – Journal of Psycholinguistic Research, 2021
In the long history of psycholinguistic research on verifying negative sentences, an often-reported finding is that participants take longer to correctly judge negative sentences true than false, while being faster to judge their positive counterparts true (e.g. Clark & Chase, Cogn Psychol 3(3):472-517, 1972; Carpenter & Just, Psychol Rev…
Descriptors: Psycholinguistics, Morphemes, Language Processing, Sentence Structure
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Creemers, Ava; Embick, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The question of whether lexical decomposition is driven by semantic transparency in the lexical processing of morphologically complex words, such as compounds, remains controversial. Prior research on compound processing has predominantly examined visual processing. Focusing instead on spoken word word recognition, the present study examined the…
Descriptors: Semantics, Word Recognition, Language Processing, Oral Language
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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
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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
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