Analyse the Influence of Big Data on Students’ Learning Behavior

Ai, Jumei; Gao, Jinlong; Du, Ping

doi:10.1088/1755-1315/234/1/012025

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…There are still many problems in conducting research on the repository and search platform for art painting resources in schools, which makes it difficult for them to bring out their unique advantages under the influence of the traditional model [ 26 ]. In traditional art class teaching, students' learning resources mainly consist of learning materials and textbooks prepared by teachers, which are slightly insufficient compared with learning resources on the Internet [ 27 ].…”

Section: The Repository and Search Platform Of Painting Teaching Reso...mentioning

confidence: 99%

Design of Repository and Search Platform for Art Painting Teaching Resources in Universities Based on Model of Decision Tree

Liu

2022

Computational Intelligence and Neuroscience

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At present, art education curriculum reform is in full swing. Art education in China started late but as an important element of quality education. Art education is particularly important today with rapid economic development and advanced technology. The art subject is the sum of the teaching content of the art subject and the execution of teaching activities expressed through the network, including two components: the teaching content organized according to specific teaching objectives and teaching strategies and the network teaching support environment. Unlike existing multimedia courseware, several features reflect the advantages of online education, unlike online courseware. Each school generates a large amount of student performance data every year, and existing systems only perform simple backups, queries, and statistics on these data, which do not reflect the weaknesses of education in a centralized and comprehensive manner. Data mining can extract valuable information hidden behind the data from a large amount of data and has been applied in more and more fields with good results, which helps people to make correct decisions. In this study, we propose a decision tree model-based repository and search platform for school art and painting education resources, briefly outline the decision tree model, and analyze the architecture and operation of the school art and painting education resources repository and search platform. The experimental results show that the Virginica accuracy of the decision tree model is 0.42 higher than that of C4.5, which greatly improves the accuracy of the preferred class and ensures the overall accuracy remains unchanged. Therefore, this system realizes the art education resource repository system and realizes the needs of college users to share art professional information and resources.

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Section: The Repository and Search Platform Of Painting Teaching Reso...mentioning

confidence: 99%

Design of Repository and Search Platform for Art Painting Teaching Resources in Universities Based on Model of Decision Tree

Liu

2022

Computational Intelligence and Neuroscience

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“…The learning motivations and learning behaviors of sports majors are critical factors affecting their learning, therefore it's necessary to further study and analyze them in detail [6][7][8]. As campus informatization is accelerating in Chinese schools, massive data recording the learning and living of students on campus has been generated [9][10][11][12]. If these data can be well processed using data mining technology, then we can get valuable information about the learning motivations and learning behaviors of students.…”

Section: Introductionmentioning

confidence: 99%

Learning Motivations and Learning Behaviors of Sports Majors Based on Big Data

Yang

2021

Int. J. Emerg. Technol. Learn.

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The subjective factors of sports majors play a critical role in the improvement of their cultural quality. Based on data mining, the valuable information about learning motivation and learning behavior can be obtained from the massive data. Therefore, this paper explores the learning motivations and learning behaviors of sports majors based on big data. Firstly, this paper analyzed the features of the learning behaviors of sports majors, and measured the complexity of their learning behaviors with information entropy, approximate entropy, and change-complexity function. Next, a dataset was established based on the students’ use of campus access network and online learning platforms. After that, a time domain convolutional capsule network model of multiple semantic features was established to recognize and classify the learning motivations of sports majors. The proposed model was proved effective through experiments.

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Analyse the Influence of Big Data on Students’ Learning Behavior

Cited by 2 publications

References 1 publication

Design of Repository and Search Platform for Art Painting Teaching Resources in Universities Based on Model of Decision Tree

Design of Repository and Search Platform for Art Painting Teaching Resources in Universities Based on Model of Decision Tree

Learning Motivations and Learning Behaviors of Sports Majors Based on Big Data

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