Abstract
The existing teaching evaluation system partially reflects the teaching effect and other related conditions through statistical reports, but it is difficult to find the useful knowledge hidden in the database, and it cannot effectively assist the decision-making support. In order to improve the evaluation effect of college classroom teaching mode, this paper mainly uses decision tree algorithm and data mining technology of association rules to construct the effectiveness evaluation system of college classroom teaching mode based on decision tree analysis. Moreover, this paper analyzes the teaching information and evaluation data to extract the potentially useful knowledge contained in it, which can help decision-makers find the rules and explore various factors that affect the teaching effect of teachers, thereby improving teaching management and optimizing resource allocation. In addition, this paper uses experimental teaching methods to verify the performance of the system model constructed in this paper. The research results show that the system constructed in this paper has certain reliability and practicability.
Highlights
Since the reform and opening-up, teaching reform has always occupied the most important part of higher education reform
When the planned economic system is transformed to a market economic system and higher education has moved from an elite education stage to a mass education stage, changes in educational concepts, educational values, and society’s demand for talents have put forward new requirements for college education and teaching. is urges college education and teaching to continuously deepen reforms in concepts, content, methods, and other aspects and move forward to adapt to the new needs of economic and social changes
Since the implementation of the “Higher Education Quality and Teaching Reform Project,” the Ministry of Education has focused on improving teaching quality every year and will launch a larger “Teaching Quality Project.” e emphasis on improving the quality of teaching in higher education requires that the reform of teaching, especially the reform of teaching mode, should move towards improving the quality of talent training [1]
Summary
Since the reform and opening-up, teaching reform has always occupied the most important part of higher education reform. Traditional classrooms are mainly based on teachers, students passively accept knowledge in the classroom, and students revolve around examinations, unable to think independently, and cannot explore and acquire knowledge actively Such a model cannot mobilize learners’ initiative and enthusiasm. E way of knowledge transfer has changed from one way to interaction Emerging teaching models such as MOOC and flipped classrooms have come into people’s sight. Erefore, we must reform the traditional classroom teaching mode, creatively use modern educational technology to guide students to learn actively, give full play to the role of students as the main body of learning, promote interaction and communication between teachers and students, and achieve personalized teaching to cultivate creative talents. The decision tree algorithm is improved on the basis of the research of other documents, so that it can meet the knowledge discovery needs of efficient teaching mode. e model in this paper is used for effect evaluation
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