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Self-Explanation and Self-Questioning Prompts in Online Medical Health Learning

机译:在线医疗健康学习中的自我解释和自我提问提示

摘要

Online instruction in medical education is beneficial due to moves toward competency-based curricula, continuing education, serving professionals in remote locations, and knowledge updates as research advances. Those who study content online may require support to use effective methods that transform passive, less-engaged learning into active comprehension and purposeful application. This study compared two learning tactics: self-questioning and self-explanation that have not been compared in prior research. Health professionals and students across Canada studied a chapter in the Canadian Fundamentals of Fetal Health Surveillance (FHS) Self-Learning Online Manual, presented on an online learning management system. Participants used nStudy learning software to open note templates and type in either self-explanations or choose one among several question stems then fill in blank space(s) to create a question. Participants who created self-explanations performed better on the achievement posttest than those who generated self-questions. Further analyses disaggregated posttest items into intentional learning (relating to information in the text about which participants were prompted to generate an annotation) and incidental learning (relating to information in the text not directly prompted for annotation). Within the self-explanation condition, there was no statistically detectable difference in recall on intentional (prompted) content compared to incidental (non-prompted) content. In the self-questioning condition, incidental content was recalled similarly to the self-explanation group. However, there was a marked and statistically detectable decrease in recall of content about which participants were prompted to generate self-questions. Possible reasons for this effect based on past research and participant comments are discussed along with limitations of the study and opportunities for further research.
机译:由于转向基于能力的课程,继续教育,为偏远地区的专业人员提供服务以及随着研究的进展知识更新,医学教育中的在线指导是有益的。那些在线学习内容的人可能需要支持才能使用有效的方法,这些方法可以将被动的,较少参与的学习转变为主动理解和有目的的应用。这项研究比较了两种学习策略:自我质疑和自我解释,这是先前研究中没有比较的。全加拿大的卫生专业人员和学生研究了《加拿大胎儿健康监护基础知识》(FHS)在线自学手册中的一章,该手册在在线学习管理系统上进行了介绍。参与者使用nStudy学习软件打开笔记模板,然后输入自己的解释或在几个问题词干中选择一个,然后填写空白以创建问题。创造自我解释的参与者在成就后测中的表现要好于产生自我问题的参与者。进一步的分析将测试后的项目分解为有意学习(与文本中提示参与者生成注释的信息有关)和附带学习(与文本中未直接提示注释的信息有关)。在自我解释条件下,与偶然(非提示)内容相比,有意(提示)内容的召回率在统计学上没有可检测的差异。在自我询问条件下,与自我解释小组相似,回忆了偶然的内容。但是,回想起参与者被问到产生自我问题的内容的回忆,在统计上可检测到明显下降。根据过去的研究和参与者的评论,可能会导致这种影响的原因,以及研究的局限性和进一步研究的机会都在讨论中。

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    Samadi Donya;

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