Book review: Teaching language online: A guide for designing, developing, and delivering online, blended, and flipped language courses

Lina, Chi; Wang, Fang

doi:10.3389/fpsyg.2022.1011021

Cited by 1 publication

(2 citation statements)

References 8 publications

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“…In recent years, new education modes have been emerging in higher education, and discussions, controversies, and collisions about online and offline teaching have been occurring constantly, and the concept of independent learning with students as the main body of learning has been emphasized [1][2][3]. Independent learning is the main body of learning with students as the main body of learning, and students can realize the learning goals through independent analysis, exploration, practice, questioning, and creation [4][5][6]. The passive nature of traditional indoctrination education is not conducive to the cultivation of students' subject consciousness.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, new educational modes have emerged in higher education, and discussions, controversies, and collisions about online and offline teaching have been occurring, and the concept of independent learning with students as the main body of learning has been emphasized [1][2][3]. Independent learning involves taking students as the primary focus of learning, utilizing independent analysis, exploration, practice, questioning, creation, and other methods to achieve learning goals [4][5][6]. The cultivation of students' subject consciousness is not possible through traditional indoctrination education, which is a passive process of receiving knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Application of Independent Learning Mode for College Students Based on Online-Offline Integration in the Internet Era

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, in the process of building an online-offline integrated independent learning model, we propose to better adapt suitable learning resources for learners using knowledge clustering. Based on the characteristics of CURE clustering algorithm, which has strong generalization ability but high complexity, the optimized ACURE algorithm is designed by making improvements in two stages: preprocessing and class merging. Secondly, to test the performance of the optimized ACURE algorithm, decentralized representative points are used to represent the clustering of the ACURE algorithm. Next, a questionnaire survey was conducted among college students and teachers using random and stratified sampling to analyze their perceptions of this merged autonomous teaching model. Finally, the combined autonomous teaching model was applied to actual teaching and its effectiveness was analyzed through teaching control. The results show that the ACURE algorithm presents perfect clustering from the contraction factor 0.3. The overall percentage of teachers’ cognition exceeds 75%, and the overall percentage of students’ cognition exceeds 50%. In the second stage test result of practical application, the experimental class is higher than the control class up to 3.87, and the effect of the integrated autonomous teaching model is distinct.

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