计算机科学
在线学习
杠杆(统计)
心态
社会学习
同步学习
辍学(神经网络)
效率低下
合作学习
多媒体
人工智能
心理学
机器学习
知识管理
数学教育
教学方法
经济
微观经济学
作者
Ni Huang,Lingli Wang,Yili Hong,Lihui Lin,Xunhua Guo,Guoqing Chen
标识
DOI:10.1287/isre.2023.1234
摘要
Online learners often experience a lack of sustained motivation given the self-paced nature of online learning, resulting in inefficiency and a high dropout rate. It is important to explore options that help users optimize their learning behavior and improve their learning performance. Using a multimethod approach, we show that (a) starting learning sessions at on-the-hour time points activates users’ implemental mindset, which supports them in building greater learning persistence and achieving better learning performance, and (b) social presence significantly attenuates the effects of on-the-hour time points in online learning. Based on our findings, we suggest that both learners and instructors on online learning platforms can leverage common temporal cues, such as on-the-hour time points, to schedule learning activities in order to motivate online learners, enhance their learning persistence, and improve their learning performance. Additionally, online learning platforms can also adopt designs that facilitate virtual connections among geographically separated users to enhance their learning productivity.
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