适应性学习系统中的选择与激励性的教学代理人
Man Su1, Belle Dang2, Andy Nguyen2
1Saarland University, Saarland Informatics Campus, Department of Computer Science, Saarbrücken, Germany.
NPJ science of learning
|November 18, 2025
概括
适应性学习系统中的激励性教学代理 (PA) 影响学生的战略选择. 低知识的学生从反思性学习中获益最多,而高知识的学生需要支持,以避免容易出错的直观策略.
科学领域:
- 教育技术的教育技术
- 认知心理学 认知心理学
- 学习科学 学习科学
背景情况:
- 适应性学习系统利用教学代理 (PA) 来促进学生的参与和成果.
- 对于激励性PA如何影响概念理解和战略决策的理解有限.
研究的目的:
- 调查动机PA与教学提示对学生学习和战略选择在适应式代数环境中的影响.
- 分析先前知识如何调节PA对学习收益和战略使用的影响.
主要方法:
- 49名9年级和10年级学生使用自适应代数学习环境进行了比较研究.
- 干预小组:激励性PA与非PA的教学提示.
- 分析技术:过程挖掘和滞后顺序分析,以检查决策轨迹和自我调节.
主要成果:
- 所有学生都表现出学习收益,先前的知识作为一个重要的主持人.
- 较低知识的学生通过反思性参与基础任务获得了最大的收益.
- 高知识的学生倾向于使用直观的,但往往不正确的策略.
结论:
- 动机性PA会随着时间的推移影响自我调节和决策模式.
- 选择可以作为一个可衡量的自我调节的学习结构来运行.
- 适应性系统应该支持内容掌握和战略决策,将脱节重新定义为适应性行为.
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