Research On The Influence Of Learning Picture Visual Features On Learning Picture Emotions And Optimization Strategie

Under the influence of the epidemic,online learning as an effective supplement to large-scale classroom teaching has become the new normal of students learning.However,in the online learning environment,teachers focus on the cultivation of students’ cognitive skills,ignore the ontological value of students’ emotions,lack of necessary emotional interaction and resolution of peer effect,which makes it difficult for online learners to get an effective response to their emotions.This causes learners to fall into awkward situations such as separation of knowledge and absence of emotional experience,which leads to the increasingly prominent problem of online learners’ lack of emotion.Education is the emotional communication between teachers and students in the learning community.Learners’ emotions have an important impact on the cognitive process.Learners’ emotional state and cognitive state influence each other and can be inferred from each other.In the process of online learning,learners study mainly through intelligent device screen images(namely learning interface)that present rich and colorful learning content.Learning interface can be regarded as a collection of various visual features to some extent,mostly composed of color,text,illustration,background and other major elements.It is an important carrier of visual communication and carry the image effect and humanistic characteristics of visual design.Human beings will make certain emotional responses to the visual stimuli received.The explicit visual characteristics of the learning interface create visual impact to convey the implicit interface emotion,so as to stimulate the emotional resonance of students.Intuitive visual features and implicit artistic features enable learning interface to convey a variety of emotional value characteristics,so that people can accept and be affected intentionally or unintentionally,and then evolve into the driving force of explicit behavior.Limited by the lack of emotional interaction means between teachers and students in the learning community in the online learning environment,educators can adjust the emotion of learning interface with the help of visual features of learning interface,so as to achieve emotional interaction with learners.This study takes the explicit visual features of learning interface as the starting point to explore the internal logic and rule of their influence on the emotion of learning interface,hoping to guide the emotional state of learners by taking the learning interface bearing emotional value as the medium.The study of the existing learning interface focuses on the establishment of hypotheses on the basis of theoretical speculation,and verifies whether the hypotheses are valid through the demonstration and analysis of small sample data.It is a process from hypothesis to verification,which ignores the complexity of learning activities and lacks data support from all-round and multi-perspective.The research results are prone to deviation.Based on the data-driven research concept,this study focuses on the full sample data of learning interface,explores new horizons and new methods for the study of learning interface,analyzes the learning interface under massive real teaching situations,and then reveals the deep logic of the influence of visual features of learning interface on the emotion of learning interface.It overcomes the shortcomings and limitations of small sample research.Thus,the circular demonstration of "hypothesis-verification" has been transformed into the deep exploration of the unknown relationship by big data,which breaks the shackles of low-dimensional data and pursues the mining and analysis of high-information information of multi-dimensional data.This makes the research results both universal and practical value.First of all,this study formulated the classification system and coding rules of the learning interface by combing the existing studies,built the big data sample database of the learning interface by itself,and completed the manual annotation of the visual features of the learning interface by taking the website of visual features annotation of the learning interface built by itself as the platform.Secondly,with the help of nearly full samples and massive data in real teaching practice scenes,big data analysis is carried out on the current situation of visual features of learning interface,and the composition characteristics of visual features of learning interface of different learning segments,various disciplines and various resource types in the field of education are clarified.Then,artificial intelligence technology and data mining technology are used to analyze and mine the data systematically.this study focuses on the internal influence and rule of the visual features of the learning interface on the emotion of the learning interface.It determines the weight of each visual element by Chi-square analysis and hierarchical analysis methods,selects 12 visual elements with high influence and deeply analyzes and interprets the influence of visual features of learning images on the emotion of learning images with the help of multiple correspondence analysis method.Finally,through the interpretation of the data mining results,combined with the multimedia picture,learning resources development and design and other related research,from the overall tone of the picture,picture color selection,picture graphic ratio,picture background type,picture layout design of the five aspects of the optimization strategy is proposed in order to be able to study the visual characteristics of the design of a certain reference.