Aug 2026· Advanced Electromagnetics· Vol 15, pp. 9003-9009· 0 citations· 14 references
TL;DR
A three-stage multimedia teaching strategy of context anchoring, modal verification, and output transfer is proposed that turns multimedia into a cognitive scaffold and is compatible with networked multimedia transmission, wireless interactive classrooms, and electromagnetic-safe digital learning spaces.
Abstract
In non-native English classrooms, multimedia resources often produce a cognitive gap of high input but low output: visual contexts and target-language forms fail to form stable semantic connections. To address this problem, this study proposes a three-stage multimedia teaching strategy of context anchoring, modal verification, and output transfer. First, a micro-context video library is constructed using word-vector semantic association, with target vocabulary anchoring the semantic field while 12-second clips control cognitive load. Second, a semi-structured virtual dialogue agent dynamically triggers recast and clarification feedback according to learners’ spoken output, grammar breaks, and pragmatic deviations. Third, digital narrative reconstruction tasks require learners to convert video-based semantic information into written storyboards, promoting cross-modal syntactic transfer. Experiments show that the semantic priming effect size increases to 145.2 ms, speech-flow break density decreases to 12.3, and average clause nesting depth rises to 1.89. The framework turns multimedia into a cognitive scaffold and is compatible with networked multimedia transmission, wireless interactive classrooms, and electromagnetic-safe digital learning spaces.
Traditional English Language Teaching (ELT) and Computer-Assisted Language Learning (CALL) have largely privileged native-speaker pronunciation models, despite the fact that much international communication occurs among speakers from Outer and Expanding Circle English contexts. This paper proposes Dynamic Accent Accomm...
A hierarchical transfer training system based on the DeepSeek model covering four progressive task tiers covering four progressive task tiers, with all tasks defined in triple form, is constructed to address the limitation that traditional English writing instruction neglects systematic cultivation of language transfer...
Qian Bao· Journal of Visualized Experi...· 0 citations
This study evaluated the pedagogical and affective impact of incorporating artificial intelligence (AI)-generated contextualized stories into dictation activities for secondary English as a Foreign Language (EFL) learners. Traditional dictation exercises often use static, decontextualized texts that lead to learner mon...
Marcos Saltos Mendoza, Eder Intriago Palacios· LATAM Revista Latinoamerican...· 0 citations
Artificial intelligence (AI) is proposed as a means of improving second-language (L2) English reading. The pedagogical problem, however, is not maximizing words per minute but helping readers allocate processing resources so that lexical access becomes more efficient without sacrificing syntactic integration, inference...
Saaid Ali Omar· Shihab Journal of Humanities· 0 citations
Traditional English as a second language (ESL) reading instruction frequently overemphasises linguistic decoding and relies upon grammar translation method, therefore failing to equip learners with text comprehension strategies necessary for meaning construction. This pedagogical gap is increasingly exacerbated by the...
Fu-Yuan Shen· English Language Teaching· 0 citations
This paper explores the function and influence of L1 transfer in second language acquisition, with a specific focus on English learning within the Chinese context. Language transfer acts as a dual force in the learning process; while inter-lingual commonalities rooted in universal grammar can facilitate positive transf...
Xiao-Qi He· Journal of Contemporary Educ...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.