Requirement Analysis And Optimization Strategy Of Educational Content For Early Education Robots

In recent years,countries have increased their investment in artificial intelligence research,and my country's national policies have strongly promoted the integration of artificial intelligence technology and education,and reshaped a new form of education and teaching.With the application of artificial intelligence technology in education,intelligent educational robots are gradually moving towards people's lives.As an important branch of intelligent educational robots,early education robots are also rapidly increasing their demand.Compared with traditional electronic education products,early education robots have the characteristics of strong interaction,rich educational content,and excellent self-learning ability.However,as a new generation of educational robot products,early education robots also have homogenization of educational content,lack of bright spots,and cannot meet the needs of parents;lack of scientific and unified theoretical guiding ideology,and chaotic design of educational content.This research uses the literature research method to sort out the concepts of artificial intelligence,educational robots and early education robots,and summarizes the development history and current situation of the field of multiple intelligences and the research trends and research hotspots of educational robots and early education robots.At the same time,the survey research method was used to select the parents of the first and second grade primary school and kindergarten students in some Sichuan provinces.And the actual demand for the content of early education robots.The content analysis method is used to compare the educational content of typical domestic early education robot products.The shortcomings between different products are analyzed,as well as the advantages and disadvantages of early education robots compared with smart speakers in educational content.The content of early education robot education is summarized in the design.The main issues presented.Finally,based on the problems and deficiencies found in previous studies,an optimization model for early education robot education content design was proposed based on multiple intelligence theory,cognitive development stage theory and multimedia learning theory,and promotion strategies were proposed from four levels,and finally through coordination and unity The principle integrates the content in the four levels.The conclusions drawn from the research are as follows:(1)At present,parents have a positive attitude towards purchasing early education robots,but their understanding of early education robots is not comprehensive.The educational contents that parents are most concerned about are child safety education and the development of behavior habits,as well as stimulating children's inquiry ability through gamification.There is a strong desire for early education robots to push personalized content based on intelligent evaluation results,formulate educational activities and implement family-assisted education according to educational laws.(2)On the whole,the universal functions of early education robots are seriously homogenized,and the education content is not condensed enough.The content design and development are still in the initial stage,and more educational applicability intelligence needs to be developed.The educational content of some early education robots has no advantage compared with smart speakers.In the future,it is necessary to form specifications in terms of educational content and technology,and to find new integration and innovation points.Early education of the robot industry as a whole also needs to move forward in difficult situations.(3)The educational content design of teaching robots should conform to the objective laws of children's cognitive development,clarify the educational goals,subdivide the task goals,enrich and improve the existing educational content,and provide children with educational evaluation and feedback in a timely manner.At the same time,it is necessary to organically integrate the three major application forms of artificial intelligence in solving and applying educational problems into early education robots and select appropriate technical support based on the characteristics of early education robots to improve more natural human-computer interaction capabilities.