Author(s)

Cheng Huang ¹, Rulin Chen ¹, Ling Lin ¹

Affiliation(s)

¹ Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Cheng Huang

ABSTRACT

Aiming at the problems of "lost" and "wasted" of English teaching resources, in order to further increase the utilization value of different English teaching resources, a resource management system based on improved collaborative recommendation algorithm is proposed. In order to realize the system, first, the use cases of the system are analyzed. On the basis of the use cases analysis, the functions and overall architecture of the system are designed respectively, and the collaborative recommendation module is mainly designed. In order to improve the accuracy of recommendation, combining the professional attributes and other attributes of the old users, a hybrid recommendation algorithm is used to recommend the learning resources, and finally, a partially implemented interface is given. People can use collaborative filtering, interpersonal association algorithm and other technologies to classify the recommended content of the system according to the grade factors such as topic and difficulty of the topic. Systematically recommend personalized learning content according to students' learning background, English awareness, interest, etc., so as to be tailored to each individual and teach students in accordance with their aptitude. In addition, the design of the system takes into account the needs of students' autonomous learning, interactive learning, group activities, etc., and realizes the interactive learning function, so that teachers, students and students can communicate instantly.

KEYWORDS

Collaborative filtering technology, English teaching, Resource recommendation algorithm

CITE THIS PAPER

Cheng Huang, Rulin Chen, Ling Lin, English Teaching Resource Recommendation Algorithm Based on Collaborative Filtering Technology. Adult and Higher Education (2022) Vol. 4: 34-40. DOI: http://dx.doi.org/10.23977/aduhe.2022.040606.

REFERENCES

[1] Hu Ting. Design of English teaching resource management system based on collaborative recommendation. Automation Technology and Application, vol.38, no.9, pp.4, 2020.
[2] Li Chuanrui. Research on strategies and methods of developing English teaching resources for kindergarten teachers. Think Tank Times, vol.50, no. 3, pp.7, 2017.
[3] Lv Caiyun. On the application of film and television resources in junior high school English teaching. Love, Marriage and Family, vol.29, no.8, pp.3, 2020.
[4] Qu Xiufen, Chen Li. Online resource development strategy to promote English teaching and teacher development. Digital Teaching in Primary and Secondary Schools, vol.30, no.2, pp.3, 2018.
[5] Li Guiying. Primary English classroom teaching to generate resources. Qinghai Education, vol.20, no.1, pp.2, 2021.
[6] Pattiman Tursun, Ren Yan. Text abstract extraction algorithm in English teaching. Information Technology, vol.44, no.12, pp.3, 2020.
[7] Wang Liusha. Design of English teaching post competency evaluation system based on K- means clustering algorithm. Microcomputer Application, vol.29, no.3, pp.2, 2020.
[8] Liu Yuting, Wu Minhua, Luo Liming. Personalized resource recommendation of primary school English based on weighted Bayes. Modern Primary and Secondary Education, vol.14, no.5, pp.14, 2019.
[9] Lu Yu. Analyze how to make rational use of network resources in English teaching. Shan Hai Jing: Frontier of Education, vol.25, no.10, pp.12, 2021.
[10] Qu Xiufen, Chen Li. Online resource development strategy to promote English teaching and teacher development. Research on Foreign Language Teaching in Basic Education, vol.20, no.6, pp.3, 2020.

Sponsors, Associates, and Links

---

• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education