Cultivation of Students’ Independent Learning Ability in Teaching Chinese as a Foreign Language Based on the CDIO Model of Guiding Data Structures and Hidden Markov Algorithms

Author:

Wen Ye1ORCID,Peng Shuang1

Affiliation:

1. College of Arts, Northeast Normal University, Changchun 130024, China

Abstract

The systematic training of metacognitive strategies in teaching Chinese as a foreign language, cultivating learners’ autonomous learning ability, and improving the effectiveness of teaching Chinese as a foreign language is of great significance for realizing the overall goal of teaching Chinese as a foreign language. Therefore, this paper designs a model based on CDIO to guide the teaching of data structures and algorithms, which emphasizes students’ hands-on ability, advocates learning in use, students’ autonomous learning, and teamwork. Taking massive online open courses(MOOC ) and small private online courses ( SPOC) learning data as a sample, hidden Markov algorithm and data mining technology are used to establish a student learning behavior evaluation model to evaluate students’ learning behavior in real-time. Meanwhile, teachers adjust the teaching content according to the evaluation results and enhance students’ learning performance and improve teaching quality.

Funder

Chinese National Funding of Social Sciences

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

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