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Tim Humphry; Amy L. Fuller – Journal of Chemical Education, 2023
ChatGPT is a brand new, free AI chatbot that has the potential to produce a seismic shift in chemistry education, especially in written lab reports. An example is explored in which ChatGPT is used to write the discussion portion of a lab report. Ways to detect the use of ChatGPT are also discussed.
Descriptors: Artificial Intelligence, Natural Language Processing, Undergraduate Students, Chemistry
Christopher Nicklin; Allie Patterson; Stuart McLean – Studies in Second Language Acquisition, 2023
Proper nouns constitute a lexical class with special properties and are thus treated differently from other words by second language acquisition researchers. An assumption exists that even low-proficiency learners will find them unproblematic, yet research suggests this assumption might be misplaced. The present study involved two self-paced…
Descriptors: Nouns, Second Language Learning, English (Second Language), Reading Fluency
Duygu F. Safak; Holger Hopp – Studies in Second Language Acquisition, 2023
This study investigates whether cross-linguistic differences affect how adult second language (L2) learners use different types of verb subcategorization information for prediction in real-time sentence comprehension. Using visual world eye-tracking, we tested if first language (L1) German and L1 Turkish intermediate-to-advanced learners of L2…
Descriptors: Linguistics, Adults, Second Language Learning, Verbs
Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects
Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller – Journal of Computer Assisted Learning, 2025
Background: Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper explores the potential of large language models…
Descriptors: Resource Units, Semantics, Automation, Questioning Techniques
Kevin Peyton; Saritha Unnikrishnan; Brian Mulligan – Discover Education, 2025
Within the university sector, student recruitment and enrolment are key strategies as institutions strive to attract, retain and engage students. This strategy is underpinned by the provision of services, applications and technologies that facilitate lecturing and support staff. Universities that offer online learning have a particular incentive…
Descriptors: Universities, Artificial Intelligence, Computer Mediated Communication, College Students
Muylle, Merel; Bernolet, Sarah; Hartsuiker, Robert J. – Language Learning, 2020
Several studies found cross-linguistic structural priming with various language combinations. Here, we investigated the role of two important domains of language variation: case marking and word order, for transitive and ditransitive structures. We varied these features in an artificial language learning paradigm, using three different artificial…
Descriptors: Bilingualism, Priming, Language Processing, Language Variation
Peel, Hayden J.; Royals, Kayla A.; Chouinard, Philippe A. – Journal of Psycholinguistic Research, 2022
It is widely assumed that subliminal word priming is case insensitive and that a short SOA (< 100 ms) is required to observe any effects. Here we attempted to replicate results from an influential study with the inclusion of a longer SOA to re-examine these assumptions. Participants performed a semantic categorisation task on visible word…
Descriptors: Priming, Psycholinguistics, Reaction Time, Semantics
Kocab, Annemarie; Davidson, Kathryn; Snedeker, Jesse – Cognitive Science, 2022
Classical quantifiers (like "all," "some," and "none") express relationships between two sets, allowing us to make generalizations (like "no elephants fly"). Devices like these appear to be universal in human languages. Is the ubiquity of quantification due to a universal property of the human mind or is it…
Descriptors: Natural Language Processing, Form Classes (Languages), Cognitive Processes, Spanish
He, Angela Xiaoxue – Infant and Child Development, 2022
In acquiring a native language, the input children receive, to an unneglectable extent, shapes the rate of acquisition and the ultimate achievement. This in turn has cascading effects on many aspects of later development, including but not limited to language. Providing optimal input for early language development, therefore, is of major interest…
Descriptors: Linguistic Input, Native Language, Language Acquisition, Memory
Kalandadze, Tamara; Braeken, Johan; Brynskov, Cecilia; Naess, Kari-Anne Bottegaard – Journal of Autism and Developmental Disorders, 2022
Poor metaphor comprehension was considered a hallmark of autism spectrum disorder (ASD), but recent research has questioned the extent and the sources of these difficulties. In this cross-sectional study, we compared metaphor comprehension in individuals with ASD (N = 29) and individuals with typical development (TD; N = 31), and investigated the…
Descriptors: Figurative Language, Language Processing, Comprehension, Language Skills
Brown, Violet A.; Fox, Neal P.; Strand, Julia F. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Listeners make use of contextual cues during continuous speech processing that help overcome the limitations of the acoustic input. These semantic, grammatical, and pragmatic cues facilitate prediction of upcoming words and/or reduce the lexical search space by inhibiting activation of contextually inappropriate words that share phonological…
Descriptors: Cues, Language Processing, Grammar, Sentence Structure
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
Anson, Chris M. – Composition Studies, 2022
Student plagiarism has challenged educators for decades, with heightened paranoia following the advent of the Internet in the 1980's and ready access to easily copied text. But plagiarism will look like child's play next to new developments in AI-based natural-language processing (NLP) systems that increasingly appear to "write" as…
Descriptors: Plagiarism, Artificial Intelligence, Natural Language Processing, Writing Assignments
Chantavarin, Suphasiree; Morgan, Emily; Ferreira, Fernanda – Cognitive Science, 2022
Prior research has shown that various types of conventional multiword chunks are processed faster than matched novel strings, but it is unclear whether this processing advantage extends to variant multiword chunks that are less formulaic. To determine whether the processing advantage of multiword chunks accommodates variations in the canonical…
Descriptors: Eye Movements, Form Classes (Languages), Cognitive Ability, Language Processing
Shannag, Fatima; Hammo, Bassam H.; Faris, Hossam – Education and Information Technologies, 2022
Cyberbullying (CB) is classified as one of the severe misconducts on social media. Many CB detection systems have been developed for many natural languages to face this phenomenon. However, Arabic is one of the under-resourced languages suffering from the lack of quality datasets in many computational research areas. This paper discusses the…
Descriptors: Bullying, Computer Mediated Communication, Social Media, Arabic