Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 4 |
Descriptor
| Automation | 4 |
| Elementary School Students | 4 |
| Grade 3 | 3 |
| Grade 4 | 3 |
| Scoring | 3 |
| Classification | 2 |
| Grade 2 | 2 |
| Intelligent Tutoring Systems | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Assistive Technology | 1 |
| More ▼ | |
Source
| Grantee Submission | 4 |
Author
| Kamata, Akihito | 2 |
| Baker, Doris Luft | 1 |
| Collazo, Marlen | 1 |
| Danielle McNamara | 1 |
| Ellen Orcutt | 1 |
| Kahn, Josh | 1 |
| Le, Nancy | 1 |
| Nese, Joseph F. T. | 1 |
| Panayiota Kendeou | 1 |
| Reese Butterfuss | 1 |
| Renu Balyan | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Speeches/Meeting Papers | 2 |
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| Early Childhood Education | 4 |
| Elementary Education | 4 |
| Primary Education | 4 |
| Grade 3 | 3 |
| Grade 4 | 3 |
| Intermediate Grades | 3 |
| Grade 2 | 2 |
| Grade 5 | 1 |
| Middle Schools | 1 |
Audience
Location
| Oregon | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Flesch Kincaid Grade Level… | 1 |
| easyCBM | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textRenu Balyan; Tracy Arner; Tong Li; Ellen Orcutt; Reese Butterfuss; Panayiota Kendeou; Danielle McNamara – Grantee Submission, 2022
Speech technology (automated speech recognition -- ASR and text-to-speech) offers great promise in the field of automated literacy and reading tutors for children. Students in third and fourth grades struggle with generating longer strings of text on a QWERTY keyboard because they still "hunt and peck" for AQ1 the letters and symbols…
Descriptors: Assistive Technology, Technology Integration, Intelligent Tutoring Systems, Automation
Direct linkWilson, Joshua; Rodrigues, Jessica – Grantee Submission, 2020
The present study leveraged advances in automated essay scoring (AES) technology to explore a proof of concept for a writing screener using the "Project Essay Grade" (PEG) program. First, the study investigated the extent to which an AES-scored multi-prompt writing screener accurately classified students as at risk of failing a Common…
Descriptors: Writing Tests, Screening Tests, Classification, Accuracy
Sano, Makoto; Baker, Doris Luft; Collazo, Marlen; Le, Nancy; Kamata, Akihito – Grantee Submission, 2020
Purpose: Explore how different automated scoring (AS) models score reliably the expressive language and vocabulary knowledge in depth of young second grade Latino English learners. Design/methodology/approach: Analyze a total of 13,471 English utterances from 217 Latino English learners with random forest, end-to-end memory networks, long…
Descriptors: English Language Learners, Hispanic American Students, Elementary School Students, Grade 2
Nese, Joseph F. T.; Kahn, Josh; Kamata, Akihito – Grantee Submission, 2017
Despite prevalent use and practical application, the current and standard assessment of oral reading fluency (ORF) presents considerable limitations which reduces its validity in estimating growth and monitoring student progress, including: (a) high cost of implementation; (b) tenuous passage equivalence; and (c) bias, large standard error, and…
Descriptors: Automation, Speech, Recognition (Psychology), Scores
