学生退学作为在线远程教育的永恒绿色现象
1Distance Education Department, Open Education Faculty, Anadolu University, Eskisehir 26470, Turkey.
概括
学生学研究缺乏一个明确的定义. 这项研究分析了164个出版物,揭示了需要精确的定义和以人为中心的方法来减少远程教育中断率的必要性.
科学领域:
- 教育教育教育教育教育教育.
- 数据科学数据科学数据科学
- 教育技术的教育技术
背景情况:
- 学生学是远程教育的一个重要问题.
- 现有关于学生学现象的研究缺乏关于定义和范围的共识.
- 模糊和不确定性是学生学现象的特征.
研究的目的:
- 在远程教育文献中评估学生学研究趋势.
- 采用数据挖掘和分析方法来识别学研究中的模式.
- 为减少在开放和远程学习环境中的学率提供见解.
主要方法:
- 文本挖掘和社交网络分析应用于164个出版物.
- 数据挖掘技术被用来检查研究趋势.
- 用分析方法来理解这一现象.
主要成果:
- "退学"一词在不同的教育环境中经常被误解.
- 仅靠非人类分析就不足以解释学生学的复杂性.
- 确定了减轻远程学习中学的有希望的影响.
结论:
- 在远程学习中,准确定义"学"至关重要.
- 需要开发用于算法预测学生退学的伦理框架.
- 以人为中心的方法对于提高学习者的动力和减少学率至关重要.
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