Analysis And Research On The Middle School Science Course Based On Classroom Observation

With the rapid development of Internet, Internet of things, people and the network is more and more inseparable. It makes human behavior data in the Internet a spurt of progress. We have entered an era of big data. The applications of big data in the field of business have created tremendous value products and services.If the application of big data to our class, then what kind of situation there will be? Based on this, four questions of this dissertation are presented.1. The application of big data in the field of business and society is quite abundant, what will happen if the method and technology of big data application to classroom observation? 2.What is the significance that the big data apply in the classroom observation? 3.The big data is collected through the massive data to analyze, in the existing conditions, how to collect the massive data in the classroom? 4.How to ensure that the data analysis is scientific?Research on education of domestic and foreign data were analyzed, the related research on classroom observation are analyzed too, including Berth (R.F.Bales) put forward "interaction process analysis" theory, S-T analysis, Flanders Interaction Analysis System, referred to as FIAS and the related domestic classroom observation research. Finally puts forward based on the data of the classroom observation. According classroom video, collected teachers and students data in the classroom,from these data, digging out the effect of teachers’ teaching behavior, student achievement, so as to provide the basis for the improvement of teaching.Large object data acquisition in this study is from junior grade two students "scientific inquiry" teaching behavior data in beijing. One class is a tradition of "scientific inquiry" teaching; Another one is network science inquiry "teaching". Two classes of the course content and curriculum design is consistent, which is flip pot inquiry.The data collection process:according to the classes video, teachers and students data are collected. Finally, using the Excel and SPSS software for data analysis, including:1.Analysis correlation of students’ behavior of large data; 2.Students classroom behavior data mean comparison; 3. Analysis teacher’s behavior of large data in traditional and network classroom.4 Analysis students’behavior of large data in traditional and network classroom.Finally draws four conclusions:1.Big data can try to apply to the classroom observation; 2.The big data in classroom observation application has its unique significance; 3.The classroom observation, only as far as possible to collect more data; 4.The acquisition of data analysis is scientific, remains to be further experimental proof.