Publication Date
| In 2025 | 2 |
Descriptor
| Second Language Learning | 2 |
| Video Technology | 2 |
| Arabic | 1 |
| Attention | 1 |
| Bayesian Statistics | 1 |
| Brain | 1 |
| Captions | 1 |
| Cognitive Ability | 1 |
| Comparative Analysis | 1 |
| Diagnostic Tests | 1 |
| Difficulty Level | 1 |
| More ▼ | |
Source
| Language Learning & Technology | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Flesch Kincaid Grade Level… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkPengchong Zhang; Shi Zhang – Language Learning & Technology, 2025
Multimodal input can significantly support second language (L2) vocabulary learning and comprehension. However, very little research has examined how L2 learners, especially young learners, allocate attention when exposed to such input and whether learning from multimodal input can be explained by attention allocation. This study therefore…
Descriptors: Attention, Eye Movements, Vocabulary Development, Reading Comprehension
Taegang Lee; Yoonhyoung Lee; Sungmook Choi – Language Learning & Technology, 2025
Empirical evidence remains sparse about how videos enhanced with first-language (L1) and second-language (L2) subtitles influence cognitive load in L2 learners. To address this point, 25 Korean undergraduate students were exposed to six short videos: baseline, L1-subtitled, and L2-subtitled videos at both high and low difficulty levels (determined…
Descriptors: Captions, Native Language, Second Language Learning, Language Processing
