Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 4 |
| Since 2017 (last 10 years) | 9 |
| Since 2007 (last 20 years) | 13 |
Descriptor
Source
Author
| Akihito Kamata | 1 |
| Albakry, Mohammed | 1 |
| Baker, Elizabeth A. | 1 |
| Bradley, Chelsea | 1 |
| Chen, Yuchun | 1 |
| Chudasama, Meera | 1 |
| Demuth, Katherine | 1 |
| Doris Baker | 1 |
| Eric Larson | 1 |
| François, Jennifer | 1 |
| Graham, Steven | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 10 |
| Reports - Research | 10 |
| Collected Works - Proceedings | 1 |
| Dissertations/Theses -… | 1 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Elementary Education | 13 |
| Early Childhood Education | 4 |
| Primary Education | 4 |
| Middle Schools | 3 |
| Secondary Education | 3 |
| Elementary Secondary Education | 2 |
| Grade 1 | 2 |
| Junior High Schools | 2 |
| Grade 2 | 1 |
| Grade 7 | 1 |
| High Schools | 1 |
| More ▼ | |
Audience
| Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| North Carolina End of Course… | 1 |
| Test of Nonverbal Intelligence | 1 |
What Works Clearinghouse Rating
Kerawalla, Lucinda; Chudasama, Meera; Messer, David J. – English in Education, 2023
Previous research suggests that students can use exploratory talk to support their thinking and learning. However, students' own perspectives on such talk, and whether/how they value it, are rarely sought. Thirty 12-year-olds and their teacher used Talk Factory on an interactive whiteboard and iPads to support exploratory talk in English lessons…
Descriptors: Student Attitudes, Video Technology, Educational Technology, Handheld Devices
Hayes, Laura E.; Traughber, Matthew C. – Language, Speech, and Hearing Services in Schools, 2021
Purpose: The purpose of this study was to further evaluate an eight-step partner instructional model developed by Kent-Walsh and McNaughton that has been demonstrated to improve implementation quality and fidelity among adults in clinical and educational settings who support the use of augmentative and alternative communication (AAC) for…
Descriptors: Feedback (Response), Teaching Methods, Models, Augmentative and Alternative Communication
Graham, Steven – Teaching English with Technology, 2021
An explorative case study has been conducted at a small rural school in the north east of Thailand to investigate the pronunciation errors that primary school students make when reading English aloud. This paper illustrates the opportunities and challenges of employing speech recognition software in rural classrooms by using it with specifically…
Descriptors: Pronunciation, Reading Difficulties, Error Patterns, Elementary School Students
Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Baker, Elizabeth A.; Bradley, Chelsea – Journal of Early Childhood Literacy, 2021
Hey Siri, Alexa, Google, can you help me learn to read? Speech recognition apps can take dictation. Elementary, middle, high school students, and adults, who struggle to read can dictate to speech recognition apps and see their oral vernacular become written words. However, at the time of this study, speech recognition apps remained notoriously…
Descriptors: Oral Language, Vocabulary Skills, Computer Software, Audio Equipment
Robertson, Bill – Science and Children, 2016
This column provides background science information for elementary teachers. Many innovations with computer software begin with analysis of how humans do a task. This article takes a look at how humans recognize spoken words and explains the origins of speech-recognition software.
Descriptors: Word Recognition, Courseware, Computer Software, Speech Communication
Sinclair, Jeanne; Jang, Eunice Eunhee; Rudzicz, Frank – Journal of Educational Psychology, 2021
Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…
Descriptors: Prediction, Reading Comprehension, Natural Language Processing, Speech Communication
Tang, Ping; Yuen, Ivan; Demuth, Katherine; Rattanasone, Nan Xu – Developmental Psychology, 2023
Contrastive focus, conveyed by prosodic cues, marks important information. Studies have shown that 6-year-olds learning English and Japanese can use contrastive focus during online sentence comprehension: focus used in a "contrastive context" facilitates the identification of a target referent (speeding up processing), whereas focus used…
Descriptors: Mandarin Chinese, Suprasegmentals, Intonation, Prediction
François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
Chen, Yuchun; Lin, Wen-Jing – Child Language Teaching and Therapy, 2022
Background: Children with developmental language disorder (DLD) demonstrate deficits in vocabulary development and novel word learning processes, which have been proposed to stem from their speech perception deficits. Aims: This study had two aims. The first was to evaluate the efficacy of an intervention incorporating a computer-based phonetic…
Descriptors: Intervention, Phonetics, Vocabulary Development, Language Impairments
Liaw, Meei-Ling – Innovation in Language Learning and Teaching, 2014
This study examined the use of speech recognition (SR) technology to support a group of elementary school children's learning of English as a foreign language (EFL). SR technology has been used in various language learning contexts. Its application to EFL teaching and learning is still relatively recent, but a solid understanding of its…
Descriptors: Elementary School Students, Speech Communication, English (Second Language), Second Language Learning
Ticknor, Anne Swenson – ProQuest LLC, 2010
This longitudinal qualitative study examined how four preservice elementary teachers used language to construct professional identities, learn within relationships, and take risks in the classroom during their final three semesters in teacher education coursework and field experiences. My female participants were former students of mine in the…
Descriptors: Preservice Teacher Education, Preservice Teachers, Speech Communication, Field Experience Programs
McCoy, Leah P., Ed. – Online Submission, 2009
This document presents the proceedings of the Annual Research Forum. Included herein are the following 29 studies: (1) What Factors Influence Algebra 1 Students' Attitudes toward Math? (Elizabeth A. Allen); (2) Low-Income Student and Teacher Impressions of Kagan Cooperative Learning (Andrea Anderson); (3) Developing and Implementing an Articulated…
Descriptors: High Schools, Student Attitudes, Oral Reading, Writing Strategies

Peer reviewed
Direct link
