Network Based Paperless System For High Schools Function Design And Optimization

This thesis is to guide the design idea in "dominant—principal" teaching mode, and closely combined with using present situation of teaching and paperless system, through the analysis of multi-angle, multi-level needs of users and effects, and give full play to the advantage of network intelligence, the paperless operation system optimization scheme for high school teaching.According to the functional design of paperless system and optimization of the main line, through the analysis of current situation of paperless system and the advantages and disadvantages of it, to carry out investigation and follow-up survey several times, fully tap the learners, teachers, parents and other multiple roles demand, and in-depth analysis of application environment, learning behavior of learners, product application concerns, multi-angle all-round product design requirements. At the same time, the introduction of AHP analytic hierarchy process to assist in product positioning, combined with the Kano model based on the requirements of qualitative and quantitative analysis of screening to determine demand weight, provides the reference for the product function design and implementation. Then based on the demand analysis conclusion, characteristics of the fusion of network environment, give full play to the network edge. It will meet the learning habits of students to implement the product design, design in line with the characteristics of the law of education and teaching and the teaching market education information products, effectively alleviate the contradiction of teaching and learning is not timely feedback in the traditional teaching process, training students initiative study consciousness, and take the experimental school field test feedback mode, makes an empirical study on the experimental conclusion.The experimental results show concluding which comes from the demand analysis of early role and closely combined with the AHP analytic hierarchy process and the personalized demand based on Kano model selection to assist in product positioning and identifying needs weight can effectively reduce the paperless system design process due to errors caused by subjective judgment of designers, improve product design and market satisfaction.