Abstract
According to the analysis of big data, With the rise of online education and teaching in domestic universities, students’ learning behavior data has grown exponentially. How to deal with the massive data, explore the deficiencies in the teaching environment, help the teachers optimize the teaching content and teaching process, and gradually become the focus of education researchers. Based on the analysis of the data characteristics of the teaching platform, this paper proposes a series of visual big data methods for teaching scenarios. Through the programming realization of visual big data method, teachers can intuitively present knowledge for students, timely understand the students’ learning status, and carry out targeted classroom teaching and teaching evaluation. Students can form knowledge framework and interconnection system to promote knowledge expression and Internalization, and complete self-assessment and discover their own learning problems; teaching managers can master the teaching effect of teachers and students’ learning, and adjust the goals of teaching management and decision-making. This paper combines the self-developed online education and teaching - Shidayun classroom, to apply the visual big data method to the actual teaching, which has produced good practical effects and effectively promoted the development of wisdom education.
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