Extraction and Use of Structured and Unstructured Features for the Recommendation of Urban Resources

Santana, Brenda Salenave; Wives, Leandro Krug

doi:10.1007/978-3-030-41505-1_20

Cited by 1 publication

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References 9 publications

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“…[1][2]. Each student's basic English knowledge and learning ability are different, and it is difficult to accurately find out the content suitable for their own learning conditions from the massive English learning resources [3]. A mature English online learning platform should be able to meet students' demand for learning resources, improve their access efficiency to each learning project, and optimize their learning experience.…”

Section: Introductionmentioning

confidence: 99%

A Resource Recommendation Algorithm for Online English Learning Systems Based on Learning Ability Evaluation

Zhou

2021

Int. J. Emerg. Technol. Learn.

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Mature online English learning platforms should provide students with necessary learning resources, ensure efficient access to learning projects, and offer the optimal learning experience. However, the traditional recommendation methods for English learning resources cannot satisfy the in-depth learning demand of students. To solve the problem, this paper designs a resource recommendation algorithm for online English learning systems based on learning ability evaluation. Firstly, the workflow of the designed algorithm was introduced, and a four-layer test system was developed for students’ English learning ability evaluation. Next, an English learning ability evaluation method was proposed based on the maximum expectation algorithm, as well as the estimation methods for parameters like learning ability, degree of discrimination, difficulty, and guess coefficient. Experimental results demonstrated the good effect of the proposed resource recommendation algorithm. The research findings provide a reference for resource recommendation of other online learning systems.

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Section: Introductionmentioning

confidence: 99%

A Resource Recommendation Algorithm for Online English Learning Systems Based on Learning Ability Evaluation

Zhou

2021

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

Extraction and Use of Structured and Unstructured Features for the Recommendation of Urban Resources

Cited by 1 publication

References 9 publications

A Resource Recommendation Algorithm for Online English Learning Systems Based on Learning Ability Evaluation

A Resource Recommendation Algorithm for Online English Learning Systems Based on Learning Ability Evaluation

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