Research On Personalized Learning Strategy Of E-learning Space Based On Emotion Recognition

With the deep integration of information technology and education,the task of constructing three links and two platforms has been proposed to promote the rapid development of education informatization.With the popularization and application of online learning spaces,research on the subject of online learning spaces has gradually become a research hot spot in the field of online learning,but in actual applications,there is a problem of emotional lack of separation between teachers and students.The online learning space can realize a variety of teaching support,supporting teachers to carry out activities such as lesson preparation,home-school interaction,online training,study guidance,etc.At the same time,students can use the learning space to conduct previews,assignments,self-tests,extended reading,and online elective courses.Activities to support teachers and students to carry out various education and teaching activities.Experts and scholars have done a lot of research on e-learning spaces.Research hot spots include“education information”,“three links and two platforms”,“personalized learning”,but researchers pay less attention to the relationship between teachers and students in e-learning spaces.Lack of emotional communication,less awareness of the relationship between learner cognition and emotion during the learning process,neglecting the importance of emotional state in the learning process,it is difficult to teach students according to their aptitude.The study of online learning space has achieved excellent results,but there is still a problem of lack of emotion.The study is guided by related theories such as constructivism,humanistic learning,and autonomous learning,and is supported by emotional computing and personalized recommendation technology.,Proposed a personalized learning mode with emotional state recognition.This model paysattention to the emotional state of learners,sets up an emotion recognition module,detects and divides the emotional states of learners,and matches personalized learning strategies for learners based on personalized recommendation technology.At an important node in the learning process of the learner,the emotion monitoring of the learner is performed again,and the learning progress is appropriately adjusted and new resources are matched as needed.The model makes up for the lack of emotion in the online learning space and achieves the purpose of teaching students according to their aptitude.The research adopts a quasi-experimental research method to construct a personalized learning model based on emotion recognition,and the effectiveness of the model is verified through experiments.Pay attention to the emotional state of learners,and match personalized learning resources and learning partners based on learners ’learning emotions.Learners’ participation in online learning has increased,and academic performance has improved significantly,indicating that the personalized learning strategies of online learning spaces based on emotion recognition have been effectively improved.It addresses the problem of“emotional deficiency” of learners in the online learning space,increasing the learning interest of learners,and improving the learning quality of learners.