探索学生在线学习在大学的行为参与:因素,学术表现及其关系
Yonghong Wang1, Mingzhang Zuo1, Xiangchun He2
1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.
Behavioral sciences (Basel, Switzerland)
|January 24, 2025
概括
大学生的在线学习参与是学业成功的关键. 经常访问在线资源强烈预测更好的学业成绩和长期学习成果.
科学领域:
- 教育技术的教育技术
- 高等教育研究 高等教育研究
- 学习分析学习分析
背景情况:
- 在线学习平台对大学生来说越来越重要.
- 评估在线学习参与度对于提高教育质量至关重要.
- 了解影响学生参与的因素对于有效的在线教学至关重要.
研究的目的:
- 确定影响大学生在线学习行为参与的关键因素.
- 开发和验证在线学习参与的评估框架.
- 探索在线学习行为与学术成绩之间的关系.
主要方法:
- 文献审查和德尔菲专家咨询,以制定评估框架.
- 分析层次流程 (AHP) 用于确定因子权重.
- 在"Ketangpai"平台上对63名学生的数据分析,以探索相关性和预测关系.
主要成果:
- 建立了一个五维评估框架 (参与,集中,互动,挑战,自我监测) 包含16个指标.
- 在线学习资源的使用频率与长期学业成绩之间发现了强烈的相关性.
- 基于在线学习行为的学术成绩预测模型被开发出来.
结论:
- 开发的框架为设计和评估在线学习提供了理论和方法的见解.
- 调查结果支持改善大学生在线学习过程和成果的干预措施.
- 了解参与因素可以实现个性化的教学策略,以提高在线教育的有效性和学生的体验.
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