Quality Assessment Method of Information Model Reform of Higher Mathematics Education Based on Big Data

Abstract

The quality of higher mathematics teaching in colleges and universities is related to a variety of influencing factors, and the changing laws are very complex, which makes the current model unable to accurately evaluate the quality of higher mathematics teaching in colleges and universities. In order to solve the deficiencies in the current teaching quality evaluation process in colleges and universities and improve the correct rate of college teaching quality evaluation, a quality evaluation method based on big data is proposed, which reforms the information model of college teaching quality evaluation. The literature related to mathematics teaching quality evaluation is researched and analyzed, and the influencing factors of higher mathematics teaching quality evaluation in colleges and universities are established. Then, collect the data of the influencing factors of higher mathematics teaching quality in colleges and universities, and establish a learning sample of college teaching quality evaluation through the star rating of the teaching quality of colleges and universities by experts. Finally, the neural network and decision tree of big data technology are introduced to train the learning samples to form an evaluation model of higher mathematics teaching quality in colleges and universities. The results show that our method can achieve high accuracy.

Optimising Curriculum Quality Assessment in Application‐Oriented Universities: A Student‐Centric Approach Using Entropy and Cloud Model

“…The predominant focus in curriculum quality assessment research centres on formulating comprehensive evaluation index systems (Zhang, Yang, and Yang 2021). Key evaluation metrics include critical aspects such as 'teaching organizational structure', 'teaching content', 'teaching proficiency' and 'student attendance' (Wei 2022;Xun 2022;Li, Xue, and Fu 2022). Scholars have made noteworthy contributions by expanding their evaluation systems to include diverse dimensions, such as 'students' sense of acquisition', 'teaching demeanour', 'teacher-student interaction' and 'curriculum organisation' (Zhang and Gao 2022;Chen 2022;Voss et al 2022).…”

Optimising Curriculum Quality Assessment in Application‐Oriented Universities: A Student‐Centric Approach Using Entropy and Cloud Model

“…The predominant focus in curriculum quality assessment research centres on formulating comprehensive evaluation index systems (Zhang, Yang, and Yang 2021). Key evaluation metrics include critical aspects such as 'teaching organizational structure', 'teaching content', 'teaching proficiency' and 'student attendance' (Wei 2022;Xun 2022;Li, Xue, and Fu 2022). Scholars have made noteworthy contributions by expanding their evaluation systems to include diverse dimensions, such as 'students' sense of acquisition', 'teaching demeanour', 'teacher-student interaction' and 'curriculum organisation' (Zhang and Gao 2022;Chen 2022;Voss et al 2022).…”

Research on Elevator Safety Detection Management based on Big Data

“…This level design belongs to the middle price of platform architecture, which can provide efficient data transmission mechanism for the whole distributed platform, and has unique functions such as asynchronous transmission and traffic peak elimination. [10][11][12][13] Third, the data processing layer. In a distributed working environment, analysis tasks will be assigned to all nodes in the cluster to achieve the expected goals through system operations, and each node will be assigned to different processing tasks according to its own performance.…”

Retracted: Quality Assessment Method of Information Model Reform of Higher Mathematics Education Based on Big Data

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

Optimising Curriculum Quality Assessment in Application‐Oriented Universities: A Student‐Centric Approach Using Entropy and Cloud Model

“…The predominant focus in curriculum quality assessment research centres on formulating comprehensive evaluation index systems (Zhang, Yang, and Yang 2021). Key evaluation metrics include critical aspects such as 'teaching organizational structure', 'teaching content', 'teaching proficiency' and 'student attendance' (Wei 2022;Xun 2022;Li, Xue, and Fu 2022). Scholars have made noteworthy contributions by expanding their evaluation systems to include diverse dimensions, such as 'students' sense of acquisition', 'teaching demeanour', 'teacher-student interaction' and 'curriculum organisation' (Zhang and Gao 2022;Chen 2022;Voss et al 2022).…”

Research on Elevator Safety Detection Management based on Big Data

“…This level design belongs to the middle price of platform architecture, which can provide efficient data transmission mechanism for the whole distributed platform, and has unique functions such as asynchronous transmission and traffic peak elimination. [10][11][12][13] Third, the data processing layer. In a distributed working environment, analysis tasks will be assigned to all nodes in the cluster to achieve the expected goals through system operations, and each node will be assigned to different processing tasks according to its own performance.…”

Retracted: Quality Assessment Method of Information Model Reform of Higher Mathematics Education Based on Big Data

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

Optimising Curriculum Quality Assessment in Application‐Oriented Universities: A Student‐Centric Approach Using Entropy and Cloud Model

“…The predominant focus in curriculum quality assessment research centres on formulating comprehensive evaluation index systems (Zhang, Yang, and Yang 2021). Key evaluation metrics include critical aspects such as 'teaching organizational structure', 'teaching content', 'teaching proficiency' and 'student attendance' (Wei 2022;Xun 2022;Li, Xue, and Fu 2022). Scholars have made noteworthy contributions by expanding their evaluation systems to include diverse dimensions, such as 'students' sense of acquisition', 'teaching demeanour', 'teacher-student interaction' and 'curriculum organisation' (Zhang and Gao 2022;Chen 2022;Voss et al 2022).…”

Research on Elevator Safety Detection Management based on Big Data

“…This level design belongs to the middle price of platform architecture, which can provide efficient data transmission mechanism for the whole distributed platform, and has unique functions such as asynchronous transmission and traffic peak elimination. [10][11][12][13] Third, the data processing layer. In a distributed working environment, analysis tasks will be assigned to all nodes in the cluster to achieve the expected goals through system operations, and each node will be assigned to different processing tasks according to its own performance.…”

Retracted: Quality Assessment Method of Information Model Reform of Higher Mathematics Education Based on Big Data

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”