Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Language Assessment Quarterly | 2 |
Computer Assisted Language… | 1 |
JALT CALL Journal | 1 |
Language Learning Journal | 1 |
Language Testing | 1 |
ProQuest LLC | 1 |
Author
Yenkimaleki, Mahmood | 2 |
van Heuven, Vincent J. | 2 |
Ashwell, Tim | 1 |
Elam, Jesse R. | 1 |
Hannah, L. | 1 |
Higgins, Derrick | 1 |
Jang, E. E. | 1 |
Kim, H. | 1 |
Llosa, Lorena | 1 |
Moradimokhles, Hossein | 1 |
Soodmand Afshar, Hassan | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Dissertations/Theses -… | 1 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 3 |
Elementary Education | 1 |
Audience
Location
Iran | 1 |
Iran (Tehran) | 1 |
Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 7 |
What Works Clearinghouse Rating
Yenkimaleki, Mahmood; van Heuven, Vincent J.; Soodmand Afshar, Hassan – Language Learning Journal, 2023
The present study investigated the efficacy of segmental/suprasegmental vs. holistic pronunciation instruction in the development of listening comprehension skills by EFL learners, using a pre-test post-test design. Six groups of 20 intermediate EFL learners at a university in Iran took part in the study, all groups receiving the same amount of…
Descriptors: Suprasegmentals, Intonation, Pronunciation Instruction, English (Second Language)
Yenkimaleki, Mahmood; van Heuven, Vincent J.; Moradimokhles, Hossein – Computer Assisted Language Learning, 2023
In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…
Descriptors: Intonation, Suprasegmentals, Computer Software, Pronunciation Instruction
Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
Ashwell, Tim; Elam, Jesse R. – JALT CALL Journal, 2017
The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
Wei, Jing; Llosa, Lorena – Language Assessment Quarterly, 2015
This article reports on an investigation of the role raters' language background plays in raters' assessment of test takers' speaking ability. Specifically, this article examines differences between American and Indian raters in their scores and scoring processes when rating Indian test takers' responses to the Test of English as a Foreign…
Descriptors: North Americans, Indians, Evaluators, English (Second Language)
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis
Witt, Autumn Song – ProQuest LLC, 2010
This dissertation follows an oral language assessment tool from initial design and implementation to validity analysis. The specialized variables of this study are the population: international teaching assistants and the purpose: spoken assessment as a hiring prerequisite. However, the process can easily be applied to other populations and…
Descriptors: Language Skills, Academic Discourse, Oral Language, Predictive Validity