Study On The Influencing Factors Of Learners’ Continuous Learning Behavior On Online Learning Platform

Online learning is gaining popularity because it is highly adaptable to learners’ individual needs.However,online learning represented by MOOCs is still Mired in the mire of high dropout rate and low completion rate,and the problem of learners’ continuous learning behavior still needs to be further studied.It is of great value for the development of online learning theory and practice to explore the influencing factors of learners’ continuous online learning behavior and to keep learners’ willingness to continue using.At present,relevant studies on learners’ continuous learning behavior usually separate the relationship between courses,learners and online learning platform,and the complex and numerous influencing factors and unclear relationship direction are not conducive to the solution of universal problems.Course builders of online learning platforms need a more unified voice to explain the ongoing behavior of online learners so that they can get more accurate guidance from more representative models based on their own reality.Therefore,from the perspective of online learning environment and personal perception,this study combined technology acceptance model(TAM),Information System-based Expectation Confirmation model(ECM-ISC)and D&M Information system success model(D&M ISSM)to construct a hypothesis model of influencing factors of learners’ continuous learning behavior on online learning platform.The hypothesis model is empirically analyzed by using the statistical method of structural equation model.The research adopts the basic process of meta-analysis,retrieves and screens relevant literatures,and carries out feature coding for these literatures.Finally,65 valid literatures and 69 groups of valid data were included in the study,involving a total sample size N=238691.In order to ensure the representativeness of research samples,CMA3.0 software was used to conduct publication bias test,heterogeneity test and confidence interval test.Then,structural equation model is used to verify the reliability of the hypothesis model and the matching of the hypothesis model with the research sample data.The results show that all the hypotheses of the hypothesis model are valid,and all the hypotheses show a moderate to strong correlation degree,and the fitting degree is good,and the model can be accepted.So far,the total effect of the influencing factors of learners’ continuous learning behavior on online learning platform from strong to weak is perceived ease of use(0.458),satisfaction(0.402),perceived usefulness(0.382),system quality(0.306),content quality(0.233),recognition degree(0.208),and service quality(0.022).According to the s-O-R framework,the research model is divided into the stimulus input,learner experience and learner response of online learning environment,and the following conclusions are drawn: system quality,content quality and service quality are the most direct stimulus input sources;Repeated and sequential stimulation of online learning environment can promote learners to realize multi-level value of online learning experience.The change process of learners’ psychological perception of online learning experience is also the process of their positive evaluation of experience value.This study abstracts the psychological decision-making process of online learners’ continuous learning behavior,forming a more representative reference model for the reference of online course teacher teams and online learning platform developers,and providing more practical guidance for organizing learners’ online learning practice: Pay attention to the changes of learners’ perceived ease of use,take advantage of perceived usefulness,and take satisfaction as the foothold to promote the development of independent learning;Timely input of post-drive stimulus can help learners build dynamic dependence between cognitive process and interactive process and develop their higher-order thinking ability.Optimize online learning methods and environments,assist learners to achieve positive evaluation of experience value,and promote effective learning.