Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| College Students | 2 |
| Pretests Posttests | 2 |
| Prior Learning | 2 |
| Second Language Learning | 2 |
| Accuracy | 1 |
| Chinese | 1 |
| Computer Assisted Instruction | 1 |
| Cues | 1 |
| Decision Making | 1 |
| English (Second Language) | 1 |
| Feedback (Response) | 1 |
| More ▼ | |
Source
| Computer Assisted Language… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Postsecondary Education | 2 |
| Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkYamashita, Taichi – Computer Assisted Language Learning, 2019
The present quasi-experimental study investigated the comparative effects of metalinguistic clue (MC) and metalinguistic explanation (ME) on the accurate use of Japanese transaction expressions. The study recruited 25 learners in a second-semester Japanese course (i.e. non-introduced group) and 17 students in a fourth-semester course (i.e.…
Descriptors: Cues, Metalinguistics, Prior Learning, Oral Language
Chan, Tun-pei; Liou, Hsien-Chin – Computer Assisted Language Learning, 2005
This study investigates the influence of using five web-based practice units on English verb-noun collocations with the design of a web-based Chinese-English bilingual concordancer (keyword retrieval program) on collocation learning. Thirty-two college EFL students participated by taking a pre-test and two post-tests, and responding to a…
Descriptors: Measures (Individuals), Internet, English (Second Language), Indexes
