Abstract

The development of information technology has facilitated the use of the intelligent classroom model supported by information technology to improve the college students’ comprehensive quality and ability. However, the existing models are too sophisticated to be applied to the actual teaching process, and ignore the individualized teaching characteristics of students. Therefore, an intelligent classroom model with adaptive learning resource recommendation was proposed. First, the entire teaching process was divided into three stages which were used to combine teachers’ teaching and students’ learning. Then the key problems of the learning resources recommendation system was studied and a learning resource recommendation based on TR-LDA (Teaching Resources-Latent Dirichlet Allocation) was proposed and how to be achieved. Finally, the proposed intelligent classroom model was verified in practical teaching. Results show that the intelligent classroom model with adaptive learning resources recommendation can help to improve students’ learning efficiency. The relevant conclusions can be used as a reference for exploring the use of information technology to improve the quality of undergraduate professional course teaching.

Highlights

  • With the expansion of the higher education admissions, the education division and some scholars believed that the quality of the undergraduate education has to be improved

  • A practical teaching intelligent classroom model that integrates teaching and learning need to be studied and built, and an adaptive learning recommendation algorithm need to be designed for the model to realize the personalized needs of learners

  • !" user reading category a is selected from the Dirichlet prior distribution of l, and !!" μa is a v-dimensional vector (V is the total number of learning resources). !"

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Summary

Introduction

With the expansion of the higher education admissions, the education division and some scholars believed that the quality of the undergraduate education has to be improved. The development of information technology based on network information technology has facilitated the wide use of intelligent information technology such as artificial intelligence [2] big data, Internet of things [3], cloud computing and mobile Internet in classroom teaching. This utilization brings profound transformation to college teaching. Developing a new approach that integrates individualized and adaptive teaching strategies; introducing it in the intelligent classroom model; and applying the model to learn, promote individualized learning initiative, and improve the teaching quality of the undergraduate course are interesting tasks

State of the Art
Practical model design of intelligent classroom
Learning resource recommendation algorithm
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Analysis and Discussion
Findings
Conclusion
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