A big data and neural networks driven approach to design students management system

Fan, Jingjing

doi:10.1007/s00500-023-09524-8

Cited by 3 publications

(1 citation statement)

References 42 publications

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“…The FNN model directly addresses this requirement by facilitating the identification, organization, and distribution of relevant, up-to-date, and engaging digital English materials that support contemporary pedagogical goals. The "internet+" era promotes personalized teaching methods and open education (Fan, 2024), thus emphasizing seamless connections between learners, teachers, platforms, and resources. The FNN-based model, with its capacity for adaptive learning and collaborative filtering, supports these trends by tailoring resource recommendations to individual learners and fostering a collaborative ecosystem where resources are easily accessible and shared across temporal and spatial boundaries.…”

Section: Related Workmentioning

confidence: 99%

A Model Based on Fuzzy Neural Networks for Sharing Digital Educational Resources in English

Yang,

Wang

2024

International Journal of E-Collaboration

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The ineffective digitization of core English course resources, due to limited autonomy, fragmentation, and inadequate management, has prompted the development of digital teacher libraries using multimedia and Internet technologies. Fuzzy neural networks (FNNs), combining fuzzy and neural network controls, have emerged as a promising approach for mathematical modeling. This paper presents an FNN-based model for sharing digital English educational resources and proposes an effective guidance mechanism for sharing digital science education resources. Experimental results show that the FNN outperforms the Apriori algorithm in training sample error by 0.02069 and reduces running time by 0.0034 seconds on average. This indicates the FNN's superior approximation capabilities with appropriate initial fuzzy rules. Consequently, the FNN-based model enhances the value and quality of educational resources, expands the capacity of information resource libraries, and effectively mitigates the creation of low-quality resources.

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Section: Related Workmentioning

confidence: 99%

A Model Based on Fuzzy Neural Networks for Sharing Digital Educational Resources in English

Yang,

Wang

2024

International Journal of E-Collaboration

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Increasing the Accuracy of Neutron Detection by Thgem Detector in Sqs Mode Using Neural Networks

Rezaie,

tayebi,

Negarestani

et al. 2024

Preprint

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Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy

Jin

2024

International Journal of Interdisciplinary Telecommunications and Networking

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The traditional evaluation mechanism of ideological education in universities faces many challenges. How to improve the quality of knowledge service work in the university and enhance instructors' skill level and effectiveness is the main problem facing the sustainable development of higher education in the new century. This article studies the innovation and expansion of the evaluation and management mechanism for university teachers based on the neural system in order to achieve effective scientific and systematic teaching methods. The experimental results show that the improvement rate of higher education academic performance under neural system learning is 75.12%, which is 17.34% higher than traditional Blended Open Learning(BOP) learning methods. Therefore, the improvement rate using the neural system learning is higher. This article targets different groups responsible for university-level teaching, thereby greatly improving the learning of college students.

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A big data and neural networks driven approach to design students management system

Cited by 3 publications

References 42 publications

A Model Based on Fuzzy Neural Networks for Sharing Digital Educational Resources in English

A Model Based on Fuzzy Neural Networks for Sharing Digital Educational Resources in English

Increasing the Accuracy of Neutron Detection by Thgem Detector in Sqs Mode Using Neural Networks

Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy

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