Predicaments and Countermeasures of Multimodal Application for English Teaching in Higher Vocational Colleges

Abstract

In the intelligent learning era, multimodal data is an important carrier to accurately depict learners learning situations. Studying the teaching of multimodal learning analytics is helpful to restore original teaching process, reveal teaching rules, and help learners grow. This paper reviews the current situation of multimodal learning analytics at home and abroad, and points out that multimodal application for English teaching in higher vocational colleges currently faces difficulties such as the weighting and proportion of multiple data sources, the protection of ethical privacy, and the acquisition of platform data. With the learners needs based on a questionnaire survey, the research believes that a multi-modal and data-driven English teaching system should be built, a reasonable learning ability evaluation system should be created, and the characteristics of the development of English teaching in higher vocational education should also be integrated, so as to promote the empowerment of education big data technology, and high-quality development of intelligent education project and higher vocational education.