探索学习和学习策略之间的预测关系,以及学生在混合物理治疗教育中的成功
Jessica Feda1, Kyle Adams, Laura Wenger
1Dep. of Physical Therapy, Baylor University, One Bear Place #97193, Waco, TX 76798-7193, USA. Tel 254-710-8024. jessica_feda@baylor.ed.
Journal of allied health
|June 10, 2025
概括
自我测试和测试策略是混合物理治疗博士 (DPT) 课程的学生学术成功的关键预测因素. 这些可修改的学习策略可以提高累积平均成绩 (cGPA) 和国家物理治疗考试 (NPTE) 的表现.
科学领域:
- 物理治疗教育教育 物理治疗教育
- 在线学习在线学习
- 学生的成功 学生的成功
背景情况:
- 物理治疗 (DPT) 方案的混合医生正在增加,需要识别预测学生成功的因素.
- 了解学生的特点对于优化混合学习环境至关重要.
研究的目的:
- 识别学习和学习策略,预测累积平均成绩 (cGPA) 和国家物理治疗考试 (NPTE) 在混合DPT程序中的表现.
- 在这种教育格式中探索自我调节学习对学术成果的预测价值.
主要方法:
- 混合DPT课程的107名学生完成了学习和学习策略清单 (LASSI).
- 收集的数据包括LASSI分数,人口统计,cGPA和NPTE结果.
- 用回归分析来预测cGPA和NPTE分数.
主要成果:
- 测试策略,选择主要想法和焦虑的 LASSI 尺度解释了 9.8% 的 cGPA 差异.
- 自我测试,选择主要想法,焦虑,注意力和测试策略的LASSSI尺度解释了18.3%的NPTE分数差异.
- 自我测试和测试策略成为学术成功的主要预测因素.
结论:
- 这项研究是第一个将自我调节的学习策略与NPTE结果和cGPA在混合DPT教育中的联系.
- 自主调节的学习策略是可修改的,可以针对干预措施.
- 专注于自我测试和测试策略的干预措施可能会提高NPTE的表现和学术成功.
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