Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 9 |
Descriptor
Adults | 10 |
Computer Software | 10 |
Models | 10 |
Correlation | 5 |
Prediction | 5 |
Artificial Intelligence | 3 |
Computational Linguistics | 3 |
Speech Communication | 3 |
Age Differences | 2 |
Comparative Analysis | 2 |
Error Patterns | 2 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Reports - Descriptive | 2 |
Computer Programs | 1 |
Dissertations/Theses -… | 1 |
Education Level
Adult Education | 2 |
Elementary Secondary Education | 1 |
Grade 1 | 1 |
Grade 6 | 1 |
Grade 9 | 1 |
Higher Education | 1 |
Audience
Location
California | 1 |
Canada | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Dale Chall Readability Formula | 1 |
Flesch Kincaid Grade Level… | 1 |
Flesch Reading Ease Formula | 1 |
Wechsler Abbreviated Scale of… | 1 |
Wechsler Adult Intelligence… | 1 |
What Works Clearinghouse Rating
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
Daliri, Ayoub – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…
Descriptors: Speech Communication, Psychomotor Skills, Prediction, Error Patterns
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Age of acquisition (AoA) is a measure of word complexity which refers to the age at which a word is typically learned. AoA measures have shown strong correlations with reading comprehension, lexical decision times, and writing quality. AoA scores based on both adult and child data have limitations that allow for error in measurement, and increase…
Descriptors: Age Differences, Vocabulary Development, Correlation, Reading Comprehension
MacIntyre, Peter D.; Baker, Susan C.; Sparling, Heather – Modern Language Journal, 2017
The present research examines the role of music and dance in motivating Gaelic language learning on Cape Breton Island (Canada). The Gaelic language, once thriving in this context, has declined in use but flourishes in both music and dance. This article presents the results of in-depth interviews (60-90 minutes) with 10 accomplished adult…
Descriptors: Second Language Learning, Learning Motivation, Self Concept, Semantics
Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher – Discourse Processes: A multidisciplinary journal, 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…
Descriptors: Reading Processes, Reading Comprehension, Readability, Adults
Hayes, John R. – Written Communication, 2012
In Section 1 of this article, the author discusses the succession of models of adult writing that he and his colleagues have proposed from 1980 to the present. He notes the most important changes that differentiate earlier and later models and discusses reasons for the changes. In Section 2, he describes his recent efforts to model young…
Descriptors: Expository Writing, Models, Writing Processes, Adult Education
Boker, Steven M.; Cohn, Jeffrey F.; Theobald, Barry-John; Matthews, Iain; Mangini, Michael; Spies, Jeffrey R.; Ambadar, Zara; Brick, Timothy R. – Journal of Experimental Psychology: Human Perception and Performance, 2011
During conversation, women tend to nod their heads more frequently and more vigorously than men. An individual speaking with a woman tends to nod his or her head more than when speaking with a man. Is this due to social expectation or due to coupled motion dynamics between the speakers? We present a novel methodology that allows us to randomly…
Descriptors: Video Technology, Speech Communication, Motion, Sexual Identity
Kim, Chung On – ProQuest LLC, 2010
Many people in general think that digital game environment has potential as a learning environment. However, empirical research in digital game environment and education is a still relative young field, so to create a digital learning environment where students are actively engaged in the learning process is a great challenge. In part, it has been…
Descriptors: Learning Theories, Intelligent Tutoring Systems, Educational Environment, Educational Games
Wilson, Valerie L. – Health Education Journal, 2009
Objective: To examine whether the communication process between diabetes health professionals and people intensively self-managing their type 1 diabetes influenced behavioural change. Design: Telephone interviews to provide insight into the communication process and its influence on diabetes intensive self-management behaviour. Setting:…
Descriptors: Adults, Computer Software, Telecommunications, Diabetes
Rose, Andrew M.; And Others – 1985
This report describes an analytic training Device Effectiveness Forecasting Technique known as DEFT. DEFT accounts for device effectivness in terms of several different criteria and classes of independent predictor variables. In its present form, DEFT is a series of interactive, menu-driven computer programs that provide for three levels of device…
Descriptors: Adults, Computer Assisted Instruction, Computer Oriented Programs, Computer Software