驯化与异化:地方高校大学生在线学习行为解读
Domestication and Alienation:An Interpretation of Online Learning Behavior of Local College Students
许洁1
作者信息
- 1. 巢湖学院文学与传媒学院,安徽合肥 238024;马来西亚北方大学多媒体技术与传播学院,亚罗士打06010
- 折叠
摘要
随着现代信息技术的不断发展,大学生在线学习行为呈井喷式增长,相比传统线下课堂教学,在线学习者处于全新的虚拟空间和环境之中,其学习行为呈现新的规律和特点.一方面,学习者发挥自身效能,主动调整学习状态,利用在线教育平台,制定"个性化"的学习空间,形成一种自适应性学习模式,从而适应"驯化"平台.另一方面,新的环境和技术的运用,对在线学习者的学习带来诸多挑战,从而使学习者产生学习倦怠、思维逻辑碎片化等"异化"表现.在线学习行为的常态化使"驯化"和"异化"行为普遍存在于学习者的在线学习过程中,且这种"驯化"和"异化"行为处于动态螺旋式的博弈过程之中.本文基于技术与人的关系的视角,结合媒介情境理论,从"驯化"和"异化"两个方面对大学生的在线学习行为进行深入解读,并为大学生在线学习效果的提升提供参考.
Abstract
With the continuous development of modern information technology,the online learning be-havior of college students is growing rapidly.Compared with traditional offline classroom teaching,on-line learners are in a brand new virtual space and environment,and their learning behavior presents new laws and characteristics.On the one hand,learners exert their own effectiveness,actively adjust their learning status,utilize online education platforms,develop personalized learning spaces,form an adaptive learning mode,and thus"domesticate"the platform.On the other hand,the application of new environments and technologies brings many challenges to the learning of online learners,leading to alienation such as learning fatigue and fragmented thinking logic.The normalization of online learn-ing behavior makes"domestication"and"alienation"behaviors commonly present in the online learn-ing process of learners,and this"domestication"and"alienation"behavior is in a dynamic spiral game process.This paper is based on the perspective of the relationship between technology and peo-ple,combined with the theory of media context,to deeply interpret the online learning behavior of col-lege students from the perspectives of"domestication"and"alienation",and provide reference for im-proving the effectiveness of online learning for college students.
关键词
在线学习行为/异化与驯化/大学生/媒介情境Key words
online learning behavior/alienation and domestication/college students/media context引用本文复制引用
出版年
2024
NETL
NSTL
万方数据