Diagnosing Students’ Disengagement In Online Learning And Corresponding Heuristics

Recentyears,with the continuous practice of flipped class and air class inprimary and secondary schools across the whole country, online education has maderapid progress in primary and secondary school education.Under the strong support ofcomputer network technology, the primary and secondary students’learning style hashad so great changes that independent learning online has held an important positionin their study and life.Experts and scholars at home and abroad begin to attachimportance to analysis and study on learning behavior in the procedure of independentlearning online.However,most of these studies,just focusing on the surface of onlinelearning,have not dug into the nature of online learning and paid much more attentionto the inescapability of deviation in study online.This article attempts to set up aconcrete and meticulousbehavior-model related to deviation through a qualitative andquantitative analysis of learning behavior in the procedure of online learning,providea recognition base for deviations in independent learning online,put forward measuresof improving deviations in learning,and then prove the effectiveness of measures byexperiments.This article will develop in the following order:Chapter1,it mainly introduce the background and importance of the study ondeviation in independent learning online in primary and secondary school,summarizeand analyze the relevant researches held by experts and scholars at home andabroad.In the end,it tells methods,objectives and main contents of this study.Chapte2, it mainly introduces the related concept definitions of thisstudy,expounds the definition of learning deviation and introduces the concept ofmeta cognition through the introduction of the theory of learning behavior.Chapter3, in this chapter,as one of the focuses of the article, it builds thehierarchical network learning behavior model of learning tasks on the basis of detailedanalysis and research,and then find the relationship of the network autonomouslearning behavior and the learning deviation, which assists to build the recognitionmodel of learning deviation and provides the basis of learning deviation recognition.Chapter4,This chapter is another focus of this paper, it analyses therelationship between the meta-cognitive guiding ideology and the learners’ learning state on the basis of the above of learning behavior model analysis, and provideslearners the strategy of the improvement of meta-cognitive deviation,and also helpthe network autonomous leaners design and make it impleted for the learning serviceof the guidance of meta-cognition.Chapter5,it verifies the effectiveness of the strategy according to the experimentto evaluate the designed service study.Chapter6, it summarizes the main work of this article,and points out theshortcoming of this study, based on this, the paper also points out the next step work.Based on the analysis and study of the network learning behavior in the processof learning, this paper sets up the network learning behavior model on the basis oflearning tasks. And offers the strategy to improve the learning deviation of themeta-cognition through the link to realize the network learning deviate recognition,through the use of eye movement instrument for data collection and the use of verbalprotocol for the qualitative and quantitative analysis of learning behavior, and usingSPSS statistical tools to analyze behavior data to evaluate the strategy research, hopethis research can be a part of the adaptative learning personalized contribute strengthfor the development of network education.