Effects of Anxiety on Active Class Attitude in E-Learning

Takeda, Masaki; Suto, Satoru; Sakamoto, Takafumi; Nameda, Akinobu; Konishi, Tatsuhiro

doi:10.1145/3498765.3498793

Cited by 1 publication

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“…Figuring out students' willingness and resilience to learn in the interactive autonomous learning mode has profound implications for the field of education [6][7][8][9]. Firstly, understanding the intrinsic relationship between these two variables can help educators design courses and teaching activities more effectively, thereby enhancing students' learning experience and academic performance [10,11].…”

Section: Introductionmentioning

confidence: 99%

Using Autonomous Learning Mode to Improve Students’ Learning Willingness and Resilience

2023

Int. J. Emerg. Technol. Learn.

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In China, English teaching has become a key part of the education system at all levels. However, despite the significant resources invested in the education system, many students lack the necessary motivation and perseverance to learn. The interactive autonomous learning mode is a newly emerged educational approach that aims to enhance students’ motivation and resilience in learning through interaction and self-motivation. Existing works mostly focus on qualitative analysis and case studies; however, few have comprehensively considered the multiple factors or the future trend. To address this research gap, this paper proposes three novel research methods: predicting future learning willingness using a grey prediction model, evaluating the effectiveness of a learning resilience enhancement strategy using the TOPSIS analysis method, and analyzing the relationship between learning willingness and learning resilience enhancement using an improved grey relation projection method. These methods not only provide a comprehensive and accurate analytical framework, but they also contribute to educational reform and teaching practice.

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Section: Introductionmentioning

confidence: 99%

Using Autonomous Learning Mode to Improve Students’ Learning Willingness and Resilience

2023

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

Effects of Anxiety on Active Class Attitude in E-Learning

Cited by 1 publication

References 5 publications

Using Autonomous Learning Mode to Improve Students’ Learning Willingness and Resilience

Using Autonomous Learning Mode to Improve Students’ Learning Willingness and Resilience

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