At present, the migration of learners from offline classroom to online learning space faces the problem of high dropout rate. Previous research suggested that self-regulated learning practice is a key factor affecting the effectiveness of online learning, but the research on the driving causes of self-regulated learning is still in the exploration stage. In the study, the impact on self-regulated learning practice is investigated. Based on the practice theory of Bourdieu, a large number of interviews was conducted by the grounded theory methodology. The results indicated that the impact on learners' self-regulated learning practice was accomplished by four aspects, i.e., online field structured, capitals reproduced, new habitus generated and practice of self-regulated learning. The managerial implications from our study are discussed finally.
IntroductionThe development of the internet has prompted online courses to be popular and many people have migrated to online to learn. Online learning is conducted in an open virtual cyberspace, including teacher customized teaching, anonymous interaction between teachers and students, and online innovative course assessment and so on. Unlike traditional learning where students learn synchronously, students who study online have more opportunities and access to obtain additional resources (Artino&Jones,2012;Schrum,2000). As one of the representative products of technical practice in education, MOOC has accelerated the pace of individualized independent learning development with advanced digital means and diverse digital resources. However, the dropout rate in MOOC is very high. Statistics show that only about 8.56% of MOOC learners have completed the course study (Lin Jiang et al.,2013). Success in an online learning environment depends on a students' ability to engage in the learning process actively and autonomously (Wang,Shannon&Ross,2013). Wu proposed that the failure of the online class is that the accessibility of knowledge is higher than the learners' adaptability. With the evolution of Web2.0 and Web3.0 technologies, the learning behavior of a new generation of learners presents differently, and it is a need to summarize the characteristics of such learning activities and understand what factors driving learners to engage. Knowles(1975) defined self-regulated learning as a series of learning processes in which learners voluntarily clarify their own learning needs to develop learning objectives, find learning resources, practice learning strategies, and evaluate learning outcomes. Previous research has demonstrated that online selfregulated learning has a positive impact on learning outcomes (Bernacki et al.,2011).Hood et al.(2015reported that self-regulated learning plays in supporting role in online learning. The further research verified that knowledge context and current role can influence the formation of learners' self-regulated learning characteristics (Hood et al.,2015). Broadbent et al. (2015)have fond that time management, metacognition, effort regulation, ...