Abstract
The traditional teaching model cannot adapt to the teaching needs of the era of smart teaching. Based on this, this paper combines data mining technology to carry out teaching reforms, constructs a computer‐aided system based on data mining, and constructs teaching system functions based on actual conditions. The constructed system can carry out multisubject teaching. Moreover, this paper uses a data mining system to mine teaching resources and uses spectral clustering methods to integrate multiple teaching resources to improve the practicability of data mining algorithms. In addition, this paper combines digital technology to deal with teaching resources. Finally, after building the system, this paper designs experiments to verify the performance of the system. From the research results, it can be seen that the system constructed in this paper has certain teaching and practical effects, and it can be applied to a larger teaching scope in subsequent research.
Highlights
With the continuous development and popularization of information technology, comprehensive informatization has become the inevitable development direction of this era
From the recording and broadcasting online school in the late 1990s to the higher education resource sharing platform, “Love Course,” which provides complete video resources, to the “China University MOOC” online open course class that integrates teaching, Q&A, testing, and homework teaching, to the “NetEase Cloud Classroom” that can realize real-time interactive online live teaching [2], modern education is closely related to the information age, and building a teaching platform based on information technology is the direction of reform of teaching informatization in major colleges and universities [3]
This research is based on the smart teaching platform environment and attaches importance to the value of the data captured by the platform in the process of monitoring student behavior and status
Summary
With the continuous development and popularization of information technology, comprehensive informatization has become the inevitable development direction of this era. This is especially true in the field of education, and digital education makes teaching content more reliable and has a uniform standard [1]. The smart teaching platform provides data on the status of the learner but is currently only an evaluation method for students. In the environment of education big data, how to help teachers give full play to the teaching process and how to use the data in the smart teaching platform to optimize the teaching decisions are the core issues of the research in education. This paper applies data mining technology to computerassisted teaching to build a data mining-based smart teaching system and improves the traditional teaching mode to improve the teaching effect
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