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Aneet Dharmavaram Narendranath; Jeffrey S. Allen – Journal of STEM Education: Innovations and Research, 2023
Investigations on the utility of reflective essays in engineering education are firmly grounded in the theory of metacognition. Besides being a tool to measure metacognition, insight acquired from assessing reflective essays can provide context for future instruction and assessment. Some challenges that hinder the critical assessment of reflective…
Descriptors: Engineering, Essays, Reflection, Information Retrieval
Dragica Ljubisavljevic; Marko Koprivica; Aleksandar Kostic; Vladan Devedžic – International Association for Development of the Information Society, 2023
This paper delves into statistical disparities between human-written and ChatGPT-generated texts, utilizing an analysis of Shannon's equitability values, and token frequency. Our findings indicate that Shannon's equitability can potentially be a differentiating factor between texts produced by humans and those generated by ChatGPT. Additionally,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing (Composition)
Annamaria V. Wolf – ProQuest LLC, 2023
Peer Evaluation Systems (PESs) allow members of student teams to provide one another with computer-mediated feedback in the form of qualitative, open-ended comments. The current research leverages unsupervised Natural Language Processing (NLP), namely Biterm Topic Modeling (BTM) and sentiment analysis, to uncover latent topics and degree of…
Descriptors: Students, Natural Language Processing, Peer Evaluation, Feedback (Response)
Lescht, Erica; Dickey, Michael Walsh; Stockbridge, Melissa D.; Ratner, Nan Bernstein – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Language abilities have long been thought to be weaker in adults who stutter (AWS) compared to adults who do not stutter (AWNS). However, it is unknown whether modality affects language performance by AWS in time pressure situations. This study aimed to examine lexical access and retrieval abilities of AWS in oral and typed modes. Method:…
Descriptors: Adults, Stuttering, Articulation Impairments, Word Recognition
Marchak, Kristan A.; Hall, D. Geoffrey – Journal of Child Language, 2022
This research addressed the question of whether children understand proper names differently from descriptions. We examined how children extend these two types of expressions from an initial object (a truck) owned by the experimenter to two identical objects created by transforming the initial object, both owned by the experimenter. Adults and…
Descriptors: Adults, Children, Naming, Language Acquisition
Skalicky, Stephen; Chen, Victoria – Language Teaching, 2022
The Competition Model has served as a functional explanation of cross-linguistic influence and transfer for more than 30 years. A large number of studies have used the Competition Model to frame investigations of sentence processing strategies in different types of bilingual and multilingual speakers. Among the different bilingual speakers…
Descriptors: Sentences, Language Processing, Cues, English (Second Language)
Laura K. Allen; Sarah C. Creer; Püren Öncel – Grantee Submission, 2022
As educators turn to technology to supplement classroom instruction, the integration of natural language processing (NLP) into educational technologies is vital for increasing student success. NLP involves the use of computers to analyze and respond to human language, including students' responses to a variety of assignments and tasks. While NLP…
Descriptors: Natural Language Processing, Learning Analytics, Learning Processes, Methods
Suhail Matar – ProQuest LLC, 2022
During language comprehension, the brain typically converts a stream of sensory input into meaningful mental representations. But not all of the information the brain needs or uses is physically available in the language signal it encounters: the brain often anticipates and processes some information before it becomes available, and it often also…
Descriptors: Language Processing, Linguistic Input, Brain Hemisphere Functions, Psycholinguistics
Foppolo, Francesca; Bosch, Jasmijn E.; Greco, Ciro; Carminati, Maria N.; Panzeri, Francesca – Cognitive Science, 2021
Predicates like "coloring-the-star" denote events that have a temporal duration and a culmination point ("telos"). When combined with perfective aspect (e.g., "Valeria has colored the star"), a culmination inference arises implying that the action has stopped, and the star is fully colored. While the perfective aspect…
Descriptors: Language Processing, Time, Sentences, Verbs
Borja Blanco; Monika Molnar; Irene Arrieta; César Caballero-Gaudes; Manuel Carreiras – Developmental Science, 2025
Language learning is influenced by both neural development and environmental experiences. This work investigates the influence of early bilingual experience on the neural mechanisms underlying speech processing in 4-month-old infants. We study how an early environmental factor such as bilingualism interacts with neural development by comparing…
Descriptors: Brain, Cognitive Processes, Cognitive Development, Speech Communication
Haerim Hwang – Written Communication, 2025
The use of subordination enables language users to achieve syntactic efficiency by allowing them to connect ideas in temporal/logical relation. Although the importance of subordination has been recognized in previous research on second language (L2) writing, it has been typically assessed with global indices that measure overall ratio of…
Descriptors: Second Language Learning, Writing (Composition), Form Classes (Languages), Syntax
Ahmad Chaddad; Yuchen Jiang – IEEE Transactions on Learning Technologies, 2025
The concept of the Metaverse, viewed as the ultimate manifestation of the Internet, has gained significant attention due to rapid advances in technologies such as the Internet of Things (IoT) and blockchain. Acting as a bridge between the physical and virtual worlds, the Metaverse has the potential to offer remarkable experiences to its users.…
Descriptors: Internet, Medical Education, Instructional Effectiveness, Artificial Intelligence
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
Jessica M. Lammert; Angela C. Roberts; Ken McRae; Laura J. Batterink; Blake E. Butler – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…
Descriptors: Identification, Natural Language Processing, Artificial Intelligence, Barriers
Caroline Larson; Hannah R. Thomas; Jason Crutcher; Michael C. Stevens; Inge-Marie Eigsti – Review Journal of Autism and Developmental Disorders, 2025
Autism Spectrum Disorder (ASD) is a heterogeneous condition associated with differences in functional neural connectivity relative to neurotypical (NT) peers. Language-based functional connectivity represents an ideal context in which to characterize connectivity because language is heterogeneous and linked to core features in ASD, and NT language…
Descriptors: Autism Spectrum Disorders, Brain, Brain Hemisphere Functions, Language Processing