翻转教学对创业专业学生学习动机、自主学习和学习结果的影响

IF 2.4 Q1 EDUCATION & EDUCATIONAL RESEARCH
Hsin-Ming Hsieh, Alex Maritz
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引用次数: 0

摘要

翻转教学因其增强学生动机和自主学习的潜力而在高等教育中引起了极大的兴趣。这项准实验研究考察了翻转教学对台湾大学106名创业学生的动机和自主学习属性的影响。学生们完成了干预前后的调查,测量了内在动机、外在动机和自主学习的各个方面。贝叶斯配对样本t检验显示,翻转教学显著增加了内在动机和外在动机。翻转教学干预后,包括内部过程、行为方法和环境偏好在内的自主学习属性也得到了改善。此外,还开发了机器学习模型,根据干预前的动机、自主学习和学习期望来预测学生的期末考试成绩。线性回归模型解释了59.1%的考试成绩差异,学习前预期成为最强的积极预测因素。然而,有趣的是,干预前的内在动机与预测的考试成绩呈负相关。总体而言,本研究提供了初步证据,证明翻转教学可以提高学生的学习动机和自主学习能力。预测模型还表明,影响学业成绩的属性之间存在复杂的相互作用。建议对更大、更多样的样本进行进一步研究,以验证翻转教学对高等教育学生的动机和自我调节益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of flipped teaching on entrepreneurship professional student’ learning motivation, self-directed learning, and learning outcome
Flipped instruction has garnered significant interest in higher education for its potential to enhance student motivation and self-regulated learning. This quasi-experimental study examined the impact of flipped teaching on motivation and self-directed learning attributes among 106 entrepreneurship students at universities in Taiwan. Students completed pre- and post-intervention surveys measuring intrinsic motivation, extrinsic motivation, and facets of self-directed learning. Bayesian paired samples t-tests revealed that flipped instruction significantly increased both intrinsic and extrinsic motivation. Self-directed learning attributes including internal processes, behavioral approaches, and environmental preferences also improved following the flipped teaching intervention. Additionally, machine learning models were developed to predict students’ final exam scores based on pre-intervention motivation, self-directed learning, and learning expectations. A linear regression model accounted for 59.1% of variance in exam scores, with pre-learning expectations emerging as the strongest positive predictor. However, pre-intervention intrinsic motivation intriguingly showed a negative relationship with predicted exam performance. Overall, this study provides preliminary evidence that flipped instruction can increase student motivation and self-directed learning capabilities. The predictive modeling also suggests complex interactions between attributes in influencing academic achievement. Further research with larger, more diverse samples is recommended to validate the motivational and self-regulatory benefits of flipped teaching for higher education students.
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来源期刊
Contemporary Educational Technology
Contemporary Educational Technology Social Sciences-Education
CiteScore
6.20
自引率
0.00%
发文量
55
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