收稿日期: 2021-05-06
网络出版日期: 2022-02-18
基金资助
2020年全国医药学研究生在线课程建设与教学研究课题(B-YXC20200205-01)
A survey of online deep learning of nursing master students
目的 探讨护理硕士研究生在线深度学习现状及其影响因素。方法 采用便利抽样方法,选取东北三省5所高校287名全日制在校护理硕士研究生,使用一般资料问卷、大学生深度学习量表、网络学习空间量表、在线学习投入量表、在线学业情绪量表对其进行调查。结果 护理硕士研究生在线深度学习条目均分为（3.47±0.49）分,家庭收入水平、竞赛奖励、在线学习投入、网络学习空间、消极低唤醒情绪共解释护理硕士研究生在线深度学习总变异的66.0%。结-论 护理硕士研究生在线深度学习居于中等偏上水平,竞赛奖励、家庭收入水平、网络学习空间、在线学习投入、消极低唤醒情绪是护理硕士研究生在线深度学习的主要影响因素。
丁连地 , 李明今 . 护理硕士研究生在线深度学习现状及其影响因素研究[J]. 中华护理教育, 2022 , 19(2) : 141 -146 . DOI: 10.3761/j.issn.1672-9234.2022.02.008
Objective To investigate the current status and influencing factors of online deep learning of nursing master students. Methods A convenience sampling was used to recruit 287 nursing master students from five colleges and universities in Northeast China. A package of questionnaires was used including the General information questionnaire,the Scale of Students Making Deep Learning,the Network Learning Space Scale,the Online Learning Engagement Scale and the Online Academic Emotion Scale. Results The score of online deep learning of the nursing master students was（3.47±0.49）. Per capita monthly income of the family,competition awards,network learning space,online learning engagement,and negative low arousal emotion could account for 66.0% of the total variance. Conclusion The online deep learning of nursing master students is at the upper middle level. Per capita monthly income of the family,competition awards,network learning space,online learning engagement,and negative low arousal emotion are the main influences factors for nursing master students.
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