Smart learning of foreign languages: rationale, framework, and path

Kunyin Xu

doi:10.1117/12.2656795

13 January 2023 Smart learning of foreign languages: rationale, framework, and path

Kunyin Xu

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125101R (2023) https://doi.org/10.1117/12.2656795
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

Smart learning is an important means of foreign language learning in the era of education informatization 2.0. Smart Learning of Foreign Languages (SLFL) is based on students' metacognition, multiple intelligence, and meaning construction. With the support of information technology, teachers, students, learning resources and the learning environment are interrelated and interact with each other to form the framework of SLFL. Under the guidance of this framework, five paths of SLFL are constructed, namely: personalized learning, learning from crowds, learning in the real-life context, embodied learning, and blended learning, and a case study was implemented to examine the effect of SLFL.

Citation Download Citation

Kunyin Xu "Smart learning of foreign languages: rationale, framework, and path", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125101R (13 January 2023); https://doi.org/10.1117/12.2656795

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