The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System

Zhang, Yanyan

doi:10.1155/2021/5545866

Cited by 4 publications

(2 citation statements)

References 23 publications

(26 reference statements)

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“…English self-study and practice in spare time is particularly important for college students. The rise of online education and learning has opened up a new way of self-study for college students [3]. Compared with traditional college English teaching, online teaching and learning methods have many choices and wide resources.…”

Section: Introductionmentioning

confidence: 99%

The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning

Wang

2022

Journal of Function Spaces

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Online learning is an important way for college students to learn English independently. The evaluation information provided by the previous online teaching platform is more summative evaluation, which cannot make students have a more intuitive and comprehensive understanding of their English learning status and lack of personalized guiding suggestions. Therefore, this paper combines data mining technology with machine learning to build an English diagnostic exercise model that can analyze students’ learning status, the correlation between knowledge points and question types, and predict English achievement, so as to provide students with more comprehensive analysis data information. The experimental results show that the evaluation model of college English diagnostic practice based on machine learning has the classification results of learning state with finer granularity, effectively analyzes the association rules of knowledge points and question types, and has high prediction performance. It can help students fully understand their English learning status, provide students with personalized analysis data and effective guiding suggestions, and enhance students’ English application ability, improving CET-4.

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Section: Introductionmentioning

confidence: 99%

The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning

Wang

2022

Journal of Function Spaces

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“…is is because multimedia have the advantage of being graphic, audio and visual, and large capacity, which can present teaching content in a timely manner, show materials for classroom language practice activities, link teaching sessions, and supplement the background corpus of relevant topics [12]. At the same time, teaching resources are the basic conditions for training innovative talents and conducting research activities in higher education [13].…”

Section: Introductionmentioning

confidence: 99%

Integration and Recommendation of Multimedia Network-Assisted English Instructional Resources Based on Association Rules Mining

Liu¹

2022

Mobile Information Systems

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The integration of multimedia teaching refers to a novel teaching mode that combines multimedia, information resources, and information methods with content and teaching process in the teaching process with the guidance of contemporary educational ideas and organically unifies them on a spatial and temporal platform, so as to better accomplish the teaching tasks. However, with the deepening of network teaching and school connotation construction, various resources such as media materials, courseware, network courses, and teaching cases generated by education and teaching, as well as academic works, papers, patents, project results, and lectures of experts and professors gathered by scientific research, are increasing. In this situation, how to integrate teaching resources and courses to provide students with an independent learning platform and an information-based learning environment has become an urgent issue. For this problem, data mining has shown a strong vitality, and data mining can find out the potential connection between datasets. Association rule mining is the most researched and widely used data mining method. In this paper, we propose a multimedia network-assisted English integration of educational resources method based on association rule algorithm to give full play to the role of “multimedia technology” and realize the integration of traditional English teaching and information network culture, so as to achieve the purpose of optimizing English teaching. The experimental results show that with the increase of data volume, the average testing time of Apriori is reduced by 56.49 s compared with MapReduce, so the advantage of Apriori algorithm is more obvious. Therefore, this research can effectively provide students with rich and colorful personalized resources, realize high-performance interactive learning, and help students cultivate their independent learning ability as well as their lifelong learning habits.

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Research and Application of Business English Practice System Oriented to Cloud Computing Platform

Li¹

2023

2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC)

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The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System

Cited by 4 publications

References 23 publications

The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning

The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning

Integration and Recommendation of Multimedia Network-Assisted English Instructional Resources Based on Association Rules Mining

Research and Application of Business English Practice System Oriented to Cloud Computing Platform

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