目的 研究护理本科生在线微课程中的学习投入特征对其深度学习的影响,为护理在线教学建设提供帮助。方法 采用方便抽样法将内蒙古医科大学已开展在线微课程教学的80名护理本科生纳入研究,采用学习投入特征量表、网络深度学习量表等研究工具进行调查,分析在线微课程学习期间护生的学习投入、网络深度学习等指标的相关性。结果 本次研究中,本科护生在线微课程学习期间学习投入量表总分为(46.70±6.98)分,网络深度学习量表总分为(49.20±5.39)分,Pearson相关分析显示,本科护生在线微课程学习期间学习投入对其网络深度学习有正向预测作用(r=0.267,P<0.01)。结论 护理本科生在线微课程中的学习投入特征对其深度学习的影响具有显著价值,在当前网络时代背景在线学习开展的趋势下,医学院校护理管理者和教育者应重视对本科护生的学习投入引导,从而有益于其网络深度学习能力及绩效的改善。

Objective To study the influence of the characteristics of learning input in online micro-courses of nursing undergraduates on their deep learning, and to provide help for the construction of nursing online teaching. Methods Convenience sampling method was used to enroll 80 nursing undergraduates who have carried out online micro-course teaching in Inner Mongolia Medical University into the study. Research tools such as the learning input feature scale and network deep learning scale were used to investigate and analyze the nursing students during the online micro-course learning. The relevance of indicators such as investment in learning and network deep learning. Results In this study, undergraduate nursing students’ total score of learning engagement during online micro-course learning was (46.70±6.98) points, and the total score of network deep learning scale was (49.20±5.39) points. Pearson correlation analysis showed that undergraduate nursing students The learning input during the online micro-course learning of students has a positive predictive effect on their network deep learning (r=0.267, P<0.01). Conclusion The characteristics of learning input in the online micro-courses of nursing undergraduates have significant value on their deep learning. Under the current trend of online learning in the background of the Internet age, nursing managers and educators in medical schools should pay attention to the impact of undergraduate nursing students. Learning input guidance, which is beneficial to the improvement of its network deep learning ability and performance.