Evaluation Method of Classroom Teaching Effect Under Intelligent Teaching Mode

Abstract

In order to improve the accuracy and performance of classroom teaching effect evaluation, an intelligent teaching mode classroom teaching effect evaluation method is proposed. Based on the characteristics of intelligent teaching mode, an intelligent teaching effect evaluation index system including five indexes of basic quality, teaching attitude, teaching method, teaching ability and teaching effect is constructed. After obtaining the scores of each index by expert scoring, it is input into the cuckoo search algorithm extreme learning machine evaluation model and solved by objective function, obtain the final score of teaching effect evaluation. The experimental results show that the proposed method can effectively improve the evaluation accuracy of classroom teaching effect of intelligent teaching mode, and provide a new method for classroom teaching effect evaluation.

Research on Digital Virtual Humans in the Metaverse for Smart Teaching

“…Smart teaching aims to enhance teachers' teaching wisdom, promote teachers' professional development, and cultivate innovative talents. It can effectively improve the mechanical, inefficient, and insufficiently participative phenomena existing in traditional classroom teaching, possessing characteristics such as efficiency, openness, diversity, interactivity, and deep interaction [3]. Xu Mei and Zhang Yinghui proposed that smart teaching refers to enabling teachers to apply efficient teaching methods and providing learners with personalized learning services and better experiences through the construction of technology-integrated learning environments [4].…”

“…Smart teaching, as a new teaching model, has attracted increasing attention due to its characteristics of personalization, interactivity, and innovation [3]. Smart teaching emphasizes that education should focus on students, emphasizing personalized learning and fully leveraging the teaching abilities of teachers and the learning capabilities of students [4].…”

Research Status, Hotspots, and Evolutionary Trends of Intelligent Education from the Perspective of Knowledge Graph

“…One of the reasons for the shift in the direction of smart education research is the maturation of smart manufacturing technologies, especially in 2022. Education should be adept at using the human-machine integration mindset to enable both large-scale coverage and personalized development of education that matches individual capabilities [70][71][72][73][74][75][76][77][78][79][80][81][82]. Human-computer integrated education is mainly reflected in intelligent educational environments, intelligent teacher assistants, intelligent educational management and services, and intelligent educational evaluation [73][74][75][76].…”

Evaluation of Teaching Quality of English Courses in Comprehensive Universities under Multiple Indicators

“…e teaching effect is the direct expression of the quality of college English teaching class, which is the effect reflected by the mutual cooperation between teachers and students in the teaching process. It is mainly expressed in the achievement of teaching objectives, students' participation and attention [18]. erefore, the evaluation index system of teaching effectiveness includes the achievement of teaching objectives A 51 , classroom atmosphereA 52 ,andstudents'enthusiasmforparticipationA 53 .…”