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Stephanie Fuchs; Alexandra Werth; Cristóbal Méndez; Jonathan Butcher – Journal of Engineering Education, 2025
Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…
Descriptors: Artificial Intelligence, Training, Data Analysis, Natural Language Processing
Duncan Gillard; Sarah Cassidy; Ben Anderson – Educational Psychology in Practice, 2025
B. F. Skinner's work in the field of verbal behaviour represented a movement of global significance. However, in today's age, even those who appreciate its profound importance in the archives of psychology accept that it did not sufficiently account for complex human language. Recent advances in psychological science have led to the emergence of a…
Descriptors: Educational Psychology, Behavior Theories, Mental Health, Models
Natalie V. Covington; Olivia Vruwink – International Journal of Artificial Intelligence in Education, 2025
ChatGPT and other large language models (LLMs) have the potential to significantly disrupt common educational practices and assessments, given their capability to quickly generate human-like text in response to user prompts. LLMs GPT-3.5 and GPT-4 have been tested against many standardized and high-stakes assessment materials (e.g. SAT, Uniform…
Descriptors: Artificial Intelligence, Technology Uses in Education, Undergraduate Study, Introductory Courses
Jionghao Lin; Zifei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger – International Journal of Artificial Intelligence in Education, 2025
One-on-one tutoring is widely acknowledged as an effective instructional method, conditioned on qualified tutors. However, the high demand for qualified tutors remains a challenge, often necessitating the training of novice tutors (i.e., trainees) to ensure effective tutoring. Research suggests that providing timely explanatory feedback can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Tutor Training, Trainees
Serrien, Deborah J.; O'Regan, Louise – Cognitive Research: Principles and Implications, 2022
Hemispheric lateralisation is a fundamental principle of functional brain organisation. We studied two core cognitive functions--language and visuospatial attention--that typically lateralise in opposite cerebral hemispheres. In this work, we tested both left- and right-handed participants on lexical decision-making as well as on symmetry…
Descriptors: Brain Hemisphere Functions, Language, Attention, Spatial Ability
Joo, Sehrang; Yousif, Sami R.; Keil, Frank C. – Cognitive Science, 2022
Adults and children 'promiscuously' endorse teleological answers to 'why' questions--a tendency linked to arguments that humans are intuitively theistic and naturally unscientific. But how do people arrive at an endorsement of a teleological answer? Here, we show that the endorsement of teleological answers need not imply unscientific reasoning (n…
Descriptors: Questioning Techniques, Intuition, Preferences, Adults
Abu-Zhaya, Rana; Arnon, Inbal; Borovsky, Arielle – Cognitive Science, 2022
Meaning in language emerges from multiple words, and children are sensitive to multi-word frequency from infancy. While children successfully use cues from single words to generate linguistic predictions, it is less clear whether and how they use multi-word sequences to guide real-time language processing and whether they form predictions on the…
Descriptors: Sentences, Language Processing, Semantics, Prediction
Tessler, Michael Henry; Goodman, Noah D. – Cognitive Science, 2022
The meanings of natural language utterances depend heavily on context. Yet, what counts as context is often only implicit in conversation. The utterance "it's warm outside" signals that the temperature outside is relatively high, but the temperature could be high relative to a number of different "comparison classes": other…
Descriptors: Language Processing, Speech, Context Effect, Form Classes (Languages)
Sturrock, Alexandra; Guest, Hannah; Hanks, Graham; Bendo, George; Plack, Christopher J.; Gowen, Emma – Autism & Developmental Language Impairments, 2022
Background and aims: Humans communicate primarily through spoken language and speech perception is a core function of the human auditory system. Among the autistic community, atypical sensory reactivity and social communication difficulties are pervasive, yet the research literature lacks in-depth self-report data on speech perception in this…
Descriptors: Auditory Perception, Autism Spectrum Disorders, Oral Language, Adults
Frey, Aline; Barbaroux, Mylène; Dittinger, Eva; Besson, Mireille – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This article aimed at investigating the neural underpinnings of music-to-language transfer effects at the pre-attentive level of processing. Method: We conducted a longitudinal experiment with a test-training-retest procedure. Non-musician adults were trained either on frequency (experimental group) or on intensity (control group) of…
Descriptors: Acoustics, Auditory Perception, Music, Brain
Vela-Candelas, Juan; Català, Natàlia; Demestre, Josep – Journal of Psycholinguistic Research, 2022
Some theories of sentence processing make a distinction between two kinds of meaning: a linguistic meaning encoded at the lexicon (i.e., selectional restrictions), and an extralinguistic knowledge derived from our everyday experiences (i.e., world knowledge). According to such theories, the former meaning is privileged over the latter in terms of…
Descriptors: Knowledge Level, Prediction, Language Processing, Sentences
Bovolenta, Giulia; Marsden, Emma – Studies in Second Language Acquisition, 2022
There is currently much interest in the role of prediction in language processing, both in L1 and L2. For language acquisition researchers, this has prompted debate on the role that predictive processing may play in both L1 and L2 language learning, if any. In this conceptual review, we explore the role of prediction and prediction error as a…
Descriptors: Prediction, Error Analysis (Language), Teaching Methods, Second Language Learning
Posner, Joseph L. – ProQuest LLC, 2022
The goal of this dissertation was to find converging evidence from behavioral and neuroimaging analyses of the mechanisms of orthographic integration with general language processes. By examining orthography effects, covert influences of orthography on non-written tasks, in participants with aphasia, we attempt to elucidate the nature of…
Descriptors: Spelling, Phoneme Grapheme Correspondence, Language Processing, Aphasia
Maxime Alexandra Tulling – ProQuest LLC, 2022
This dissertation investigates the neural bases and development of displacement, which is a language property that allows us to communicate about situations outside the "here-and-now." One way to displace from our immediate environment is to project ourselves into the here-and-now point of an alternative actuality. Another form of…
Descriptors: Brain, Brain Hemisphere Functions, Language Processing, Learning Modalities
Chang, Tammy; DeJonckheere, Melissa; Vydiswaran, V. G. Vinod; Li, Jiazhao; Buis, Lorraine R.; Guetterman, Timothy C. – Journal of Mixed Methods Research, 2021
Situations of catastrophic social change, such as COVID-19, raise complex, interdisciplinary research questions that intersect health, education, economics, psychology, and social behavior and require mixed methods research. The pandemic has been a quickly evolving phenomenon, which pressures the time necessary to perform mixed methods research.…
Descriptors: Mixed Methods Research, Natural Language Processing, Data, Change

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