Purpose:(1)Study the current state and needs of learning management,focusing on work skills through Saori weaving for special needs children;(2)Develop a learning management model focusing on work skills;(3)Develop a ...Purpose:(1)Study the current state and needs of learning management,focusing on work skills through Saori weaving for special needs children;(2)Develop a learning management model focusing on work skills;(3)Develop a teacher-centered learning management approach through the use of Saori weaving for special needs children;(4)Study the effectiveness of the learning management model that focuses on working with special children.Research&Development Research Results:(1)The current state and needs of learning management focused on work skills through Saori weaving for special children;(2)The learning management model emphasizing for special children is four steps:a.prepare the actual context;b.set goals;c.plan and execute;d.monitoring;and Evaluatio Saori Weaving Class has five details:(1)Inspire:I(Explain:Inspired to work for success);(2)Choose:C(Explain:Choose what you like before you can see the future do it);(3)Aim&Act:A(Explain:Work with a happy goal that has set);(4)Reflect on learning:R(Explain:Reflect on learning);(5)Experiential-Based Learning Measure by concluding:ICARE Model.The results of teacher development on learning management focused on working skills:(1)Teachers with average scores after training,35.09%was 77.98%;(2)22 trainers were able to develop a skill management plan in the 21st century at the best evaluated in 73.33%and eight persons respectively in good or 26.67%.(3)The results of the study on the effectiveness of the model showed that the extra children had a higher grade of Saori weaving.After class,75.49%were higher than the standard set of 70%and the students were satisfied with Saori weaving as the most levels.展开更多
With the development of modern society and the improvement of living standards,care for special needs children has been increasingly highlighted,and numerous corresponding measures such as welfare homes,special educat...With the development of modern society and the improvement of living standards,care for special needs children has been increasingly highlighted,and numerous corresponding measures such as welfare homes,special education schools,and youth care centers have emerged.Due to the lack of systematic emotional companionship,the mental health of special needs children are bound to be affected.Nowadays,emotional education,analysis,and evaluation are mostly done by psychologists and emotional analysts,and these measures are unpopular.Therefore,many researchers at home and abroad have focused on the solution of psychological issues and the psychological assessment and emotional analysis of such children in their daily lives.In this paper,a special children’s psychological emotional analysis based on neural network is proposed,where the system sends the voice information to a cloud platform through intelligent wearable devices.To ensure that the data collected are valid,a series of pretreatments such as Chinese word segmentation,de-emphasis,and so on are put into the neural network model.The model is based on the further research of transfer learning and Bi-GRU model,which can meet the needs of Chinese text sentiment analysis.The completion rate of the final model test has reached 97%,which means that it is ready for use.Finally,a web page is designed,which can evaluate and detect abnormal psychological state,and at the same time,a personal emotion database can also be established.展开更多
文摘Purpose:(1)Study the current state and needs of learning management,focusing on work skills through Saori weaving for special needs children;(2)Develop a learning management model focusing on work skills;(3)Develop a teacher-centered learning management approach through the use of Saori weaving for special needs children;(4)Study the effectiveness of the learning management model that focuses on working with special children.Research&Development Research Results:(1)The current state and needs of learning management focused on work skills through Saori weaving for special children;(2)The learning management model emphasizing for special children is four steps:a.prepare the actual context;b.set goals;c.plan and execute;d.monitoring;and Evaluatio Saori Weaving Class has five details:(1)Inspire:I(Explain:Inspired to work for success);(2)Choose:C(Explain:Choose what you like before you can see the future do it);(3)Aim&Act:A(Explain:Work with a happy goal that has set);(4)Reflect on learning:R(Explain:Reflect on learning);(5)Experiential-Based Learning Measure by concluding:ICARE Model.The results of teacher development on learning management focused on working skills:(1)Teachers with average scores after training,35.09%was 77.98%;(2)22 trainers were able to develop a skill management plan in the 21st century at the best evaluated in 73.33%and eight persons respectively in good or 26.67%.(3)The results of the study on the effectiveness of the model showed that the extra children had a higher grade of Saori weaving.After class,75.49%were higher than the standard set of 70%and the students were satisfied with Saori weaving as the most levels.
文摘With the development of modern society and the improvement of living standards,care for special needs children has been increasingly highlighted,and numerous corresponding measures such as welfare homes,special education schools,and youth care centers have emerged.Due to the lack of systematic emotional companionship,the mental health of special needs children are bound to be affected.Nowadays,emotional education,analysis,and evaluation are mostly done by psychologists and emotional analysts,and these measures are unpopular.Therefore,many researchers at home and abroad have focused on the solution of psychological issues and the psychological assessment and emotional analysis of such children in their daily lives.In this paper,a special children’s psychological emotional analysis based on neural network is proposed,where the system sends the voice information to a cloud platform through intelligent wearable devices.To ensure that the data collected are valid,a series of pretreatments such as Chinese word segmentation,de-emphasis,and so on are put into the neural network model.The model is based on the further research of transfer learning and Bi-GRU model,which can meet the needs of Chinese text sentiment analysis.The completion rate of the final model test has reached 97%,which means that it is ready for use.Finally,a web page is designed,which can evaluate and detect abnormal psychological state,and at the same time,a personal emotion database can also be established.
