| Classroom is the principal position of instructional activities and the basis of teaching quality.Under the background of the deepening development of curriculum and teaching reform,how to make full use of big data and artificial intelligence analysis technology to observe classroom activities in a real-time and all-round way,analyze the behavior data of students in the classroom in a timely and effective manner,intelligently generate visual data of analysis results,so that teachers can effectively and timely manage,control and adjust classroom teaching process through real-time evaluation and feedback,and it is imperative to realize data-driven differentiated and personalized accurate teaching,scientifically guide teachers' instructional behavior,strengthen teachers' deep cognition of teaching practice activities,and promote teachers' professional development.This is current hot and difficult points of research at home and abroad,as well as the focus of this study.In the future classroom research and design,focusing on the environmental design and instructional design,this study uses scientific classroom observation data analysis to carry out teaching evaluation as a method,so as to realize the dynamic management and adjustment of the teaching process,and effectively organize and guide the teaching practice in the classroom.Based on the observation of teachers' instruction and students' learning behavior in the classroom,the evaluation of teaching and learning effect is carried out in all directions and multi dimensions,so as to ensure the scientific and refined classroom teaching.Through artificial intelligence technology to carry out behavior analysis of teachers and students,thus carry out intelligent classroom observation and data-driven classroom teaching evaluation.It is to support the teaching reform by means of information technology,and apply the new instructional technology to teaching and educational management decision-making.The study of this dissertation closely arounds the future classroom,classroom observation,behavior analysis,teaching evaluation,artificial intelligence,and data-driven,etc.,focusing on the following aspects:1.Combing the research status and existing problems in this field,defining the core concepts of this study,putting forward specific study objectives and contents,and determining research ideas,methods and technical routes.2.Analyzing and summarizing the major theoretical basis,the current situation of classroom research at home and abroad,the progress of classroom observation technology,and the applications of artificial intelligence in education.3.The teaching system of future classroom is designed and analyzed,including classroom teaching,learning,resources,management,evaluation and other functions,especially how to use artificial intelligence technology to classroom intelligent environment,intelligent management,intelligent recognition,intelligent movement and other aspects.4.From the perspective of behavior analysis of teachers and students,this study constructs a classroom observation model and evaluation system based on the support of intelligent technology,which lays an important foundation for the empirical study of classroom teaching observation and evaluation.5.Based on the observation model and evaluation system,this study carefully designs the classroom teaching practice cases,carries out the practice verification of the observation model and evaluation system,and verifies the validity and feasibility of this study from the aspects of the improvement of teaching quality,the professional development of teachers,the individual growth of students,and the decision-making support of educational information management.Finally,the dessertation also summarizes the main achievements and innovations of this study,analyzes the shortcomings of this study and the aspects that need to be further improved,and looks forward to the future research focus and direction as well as the trend of education in future. |
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