全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

教育数字化转型背景下高职学生混合式学习参与度提升策略研究
Study on Strategies to Enhance Student Engagement in Blended Learning in the Context of Digital Transformation in Vocational Education

DOI: 10.12677/ve.2025.141066, PP. 448-458

Keywords: 混合式学习,参与度,多元线性回归模型
Blended Learning
, Engagement, Multiple Linear Regression Model

Full-Text   Cite this paper   Add to My Lib

Abstract:

在教育数字化转型的背景下,本研究识别混合式学习作为提高高职学生学习参与度的策略。通过理论分析,本研究确立了面授学习、实践学习、线上学习及合作学习四个关键维度。为量化这些维度的影响,设计并实施了包含相关问题的问卷,随后进行信度与效度的系统评估。研究采用探索性因子分析确定问题权重,以及多元线性回归模型来评估各维度对学习参与度的具体贡献。模型的准确性和稳定性通过残差分析、交叉验证以及多重共线性检验来验证。研究结果揭示,所有学习维度均显著正向影响学习参与度,其中合作学习的贡献最为突出。基于以上发现,提出针对性策略以优化混合式学习环境,从而提升学习参与度,并促进教育质量的提升及数字化转型的实施。
In the context of the digital transformation of education, this study identifies blended learning as a strategy to enhance student engagement in vocational education. Through theoretical analysis, the study establishes four key dimensions: face-to-face learning, practical learning, online learning, and collaborative learning. To quantify the impact of these dimensions, a questionnaire containing relevant questions was designed and administered, followed by a systematic evaluation of reliability and validity. The study employs exploratory factor analysis to determine the weighting of questions and multiple linear regression models to assess the specific contributions of each dimension to learning engagement. The accuracy and stability of the models were verified through residual analysis, cross-validation, and multicollinearity tests. The results reveal that all learning dimensions significantly and positively influence learning engagement, with collaborative learning making the most substantial contribution. Based on these findings, targeted strategies are proposed to optimize the blended learning environment, thereby enhancing learning engagement and promoting the improvement of education quality and the implementation of digital transformation.

References

[1]  王文轩. 混合教学模式下高职学生自主学习能力培养的实证研究[J]. 中国职业技术教育, 2018(35): 10-15.
[2]  Vygotsky, L.S. (1978) Mind in Society: Development of Higher Psychological Processes. Harvard University Press.
[3]  Sweller, J. (1988) Cognitive Load During Problem Solving: Effects on Learning. Cognitive Science, 12, 257-285.
https://doi.org/10.1207/s15516709cog1202_4
[4]  Deci, E.L. and Ryan, R.M. (2013) Intrinsic Motivation and Self-Determination in Human Behavior. Springer Science & Business Media.
[5]  Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340.
https://doi.org/10.2307/249008
[6]  Kolb, D.A. (2014) Experiential Learning: Experience as the Source of Learning and Development. FT Press.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133