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Megan Nakamura – ProQuest LLC, 2024
This study investigates the neurocognitive underpinnings of early language learning in adults and examines the modulating effects of individual differences in prior bilingual experience and cognitive capabilities. This study used a pre/post short-term longitudinal design with a 10-day Dutch language training via Rosetta Stone. Event-Related…
Descriptors: Indo European Languages, Brain Hemisphere Functions, Second Language Learning, Bilingualism
Guoyang Liu; Yueyuan Zheng; Michelle Hei Lam Tsang; Zhao Yazhou; Janet H. Hsiao – npj Science of Learning, 2025
Eye movement patterns and consistency during face recognition are both associated with recognition performance. We examined whether they reflect different mechanisms through EEG decoding. Eighty-four participants performed an old-new face recognition task with eye movement pattern and consistency quantified using eye movement analysis with hidden…
Descriptors: Eye Movements, Human Body, Recognition (Psychology), Diagnostic Tests
Claude, ChatGPT, Copilot, and Gemini Performance versus Students in Different Topics of Neuroscience
Volodymyr Mavrych; Ahmed Yaqinuddin; Olena Bolgova – Advances in Physiology Education, 2025
Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical neuroscience. This research compared the performances of Claude 3.5 Sonnet (Anthropic), GPT-3.5 and…
Descriptors: Artificial Intelligence, Computer Software, Neurosciences, Medical Education
Julien S. Murphy; Constance Mui – Educational Philosophy and Theory, 2025
A leading critic of the disruptive force of technology in education, Bernard Stiegler saw the counter-effects of artificial intelligence in undermining human agency, autonomy and individuality, rendering the role of education ever more critical. Stiegler believes that our goal is not to abandon technology but to focus our attention on its power…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Writing (Composition)
Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
Andrea Bruera; Yuan Tao; Andrew Anderson; Derya Çokal; Janosch Haber; Massimo Poesio – Cognitive Science, 2023
The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…
Descriptors: Neurosciences, Brain Hemisphere Functions, Artificial Intelligence, Diagnostic Tests
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
Rungsilp, Chutimon; Piromsopa, Krerk; Viriyopase, Atthaphon; U-Yen, Kongpop – International Association for Development of the Information Society, 2021
The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Artificial Intelligence, Cognitive Processes
Adi Korisky; Ido Davidesco; Ofek Ben-Abu; Orel Levy; Klil Abrahami; Orly Geri; Elana Zion Golumbic – Mind, Brain, and Education, 2024
Students' school requirements and learning activities engage many different cognitive processes, including language processing, memory, learning, attention, reasoning, decision-making, and social interaction. However, students rarely learn about these cognitive processes, or the brain mechanisms underlying them and therefore lack the critical…
Descriptors: Neurosciences, Artificial Intelligence, Computer Software, Learning Activities
Runmei Xing – Journal of Pedagogical Research, 2023
In today's globalized world, strong English listening skills have become more essential than ever before. Whether you're a language learner, a professional conducting business internationally, or a traveler exploring new cultures, the ability to understand spoken English is an asset. Fortunately, advancements in technology have opened new avenues…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Snowden, Ariel W.; Warren, Christopher M.; Goodridge, Wade H.; Fang, Ning – Engineering Design Graphics Journal, 2021
The current study examined the neural correlates of spatial rotation in eight engineering undergraduates. Mastering engineering graphics requires students to mentally visualize in 3D and mentally rotate parts when developing 2D drawings. Students' spatial rotation skills play a significant role in learning and mastering engineering graphics.…
Descriptors: Task Analysis, Spatial Ability, Diagnostic Tests, Correlation
Yolanda Little – ProQuest LLC, 2024
Differentiated instruction has emerged as a research-based approach to teaching that meets the diverse needs of students based upon learner readiness, interests, and learning profile, grounded in the socio-cultural, multiple intelligences, and brain-based learning theories. The purpose of this basic qualitative inquiry was to explore teachers'…
Descriptors: Teacher Attitudes, Individualized Instruction, Student Development, Regular and Special Education Relationship
Elliott, Claire; Sutherland, Dean; Gerhard, Daniel; Theys, Catherine – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Augmentative and alternative communication (AAC) systems are important to support communication for individuals with complex communication needs. A recent addition to AAC system options is the brain-computer interface (BCI). This study aimed to compare the clinical application of the P300 speller BCI with two more common AAC systems, the…
Descriptors: Eye Movements, Brain Hemisphere Functions, Diagnostic Tests, Cognitive Ability
Bovolenta, Giulia; Husband, E. Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Prediction in language comprehension has become a key mechanism in recent psycholinguistic theory, with evidence from lexical prediction as a primary source. Less work has focused on whether comprehenders also make structural predictions above the lexical level. Previous research shows that processing is facilitated for syntactic structures which…
Descriptors: Prediction, Verbs, Italian, Linguistic Input
Boxuan Ma; Sora Fukui; Yuji Ando; Shinichi Konomi – Journal of Educational Data Mining, 2024
Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…
Descriptors: Language Proficiency, Brain Hemisphere Functions, Language Processing, Task Analysis