Classroom Video Image Emotion Analysis Method for Online Teaching Quality Evaluation

Wang, Shunye; Cheng, Limin; Liu, Dayong; Qin, Junqiao; Hu, Guohua

doi:10.18280/ts.390535

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…The advent of the mobile Internet era and the activity of distance education platforms have made online learning that breaks through the boundaries of time and space a part of learners' daily lives, providing opportunities for the masses who have entered the society to upgrade their academic qualifications [1][2][3][4][5][6][7][8]. Compared with the traditional on-campus teaching mode, learners can get more learning resources, learning communication opportunities, and learning channels, for example, online communication with teachers, online comment information of other learners, etc.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Evolution of Distance Education Learners’ Feedback Attitudes by a Deep Learning Approach

Deng¹,

Wang²

2023

Int. J. Emerg. Technol. Learn.

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In recent years, the feedback attitude towards teachers has become one of the most important factors affecting learners' trust in teachers' teaching ability and changing learning plans, so the research on learners' feedback attitude has received extensive attention from experts and scholars at home and abroad. Most of the existing relevant research focuses on empirical research and behavioral research using questionnaires and scales from a theoretical point of view, which need to be further verified in terms of reliability and scientificity. Therefore, this paper conducts a research on the prediction and evolution of distance education learners’ feedback attitudes towards teachers based on deep learning. With the help of deep learning technology, it is easy to discover the advantages of distributed feature representation of data, and ARIMA model is combined with BP neural network model to construct a predictive model of distance education learners' feedback attitudes towards teachers. This paper makes the evolution analysis of distance education learners' feedback attitudes towards teachers, and introduces the assumptions and principles of the evolutionary analysis model in detail. The experimental results verify the effectiveness of the proposed model, and the analysis results of learner attitude evolution based on distance English learning as an example are given.

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Section: Introductionmentioning

confidence: 99%

Prediction and Evolution of Distance Education Learners’ Feedback Attitudes by a Deep Learning Approach

Deng¹,

Wang²

2023

Int. J. Emerg. Technol. Learn.

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Method for classroom teaching quality evaluation in college English based on the probabilistic uncertain linguistic multiple-attribute group decision-making

Xiao

2023

KES

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College English is an important basic course in higher education. Promoting the reform of college English teaching and constructing a scientific and standardized quality assurance system for college English teaching are important guarantees and powerful means to improve the quality of talent cultivation in higher education. In terms of ideology, it is necessary to attach great importance to strengthening the awareness of monitoring and ensuring the quality of college English teaching system construction; In terms of management, ensure the operation of a diversified governance and evaluation system for college English teaching; Practice in improving the quality monitoring and guarantee system of college English teaching in action; In terms of overall coordination, build a high-quality and efficient college English teaching resource sharing system. The classroom teaching quality evaluation in college English is classical multiple-attribute group decision-making (MAGDM) issues. Recently, the Exponential TODIM (ExpTODIM) method has been used to solve MAGDM issues. The probabilistic uncertain linguistic term sets (PULTSs) are used as a tool for characterizing uncertain information during the classroom teaching quality evaluation in college English. In this paper, the probabilistic uncertain linguistic ExpTODIM (PUL-ExpTODIM) method is defined to solve the MAGDM under PULTSs. In the end, a numerical case study for classroom teaching quality evaluation in college English is given to validate the proposed method.

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Enhanced decision-making through an intelligent algorithmic approach for multiple-attribute college English teaching quality evaluation with interval-valued intuitionistic fuzzy sets

Huo,

Zhang,

Chen

2024

KES

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To establish a student-centered teaching quality assurance system in English teaching in universities, it is necessary to establish an educational philosophy of survival based on quality, achieve student-centered learning, optimize the allocation of English teaching resources, and reform evaluation standards; To address the problems in English teaching, we need to raise awareness of the construction of a “student-centered” teaching quality assurance system, carry out “student-centered” teacher training activities, and improve teachers’ professional skills; At the same time, we will establish a student-centered English curriculum system, promote the reform and innovation of teaching models, establish a diversified English teaching evaluation system, and ensure the high efficiency and quality of English teaching in universities. The college English teaching quality evaluation is the MAGDM. Recently, the TODIM and MABAC technique has been employed to manage MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a useful tool for portraying uncertain information during the college English teaching quality evaluation. In this paper, the interval-valued intuitionistic fuzzy TODIM-MABAC (IVIF-TODIM-MABAC) technique is built to manage the MAGDM under IVIFSs. At last, the numerical example for college English teaching quality evaluation is employed to show the IVIF-TODIM-MABAC decision technique. The main contribution of this paper is outlined: (1) the TODIM technique based on MABAC has been extended to IVIFSs based on Entropy technique; (2) the Entropy technique is employed to manage weight based on score values under IVIFSs. (3) the IVIF-TODIM-MABAC technique is founded to manage the MAGDM under IVIFSs; (4) a numerical example for college English teaching quality evaluation and some comparative analysis is supplied to verify the proposed technique.

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Classroom Video Image Emotion Analysis Method for Online Teaching Quality Evaluation

Cited by 3 publications

References 22 publications

Prediction and Evolution of Distance Education Learners’ Feedback Attitudes by a Deep Learning Approach

Prediction and Evolution of Distance Education Learners’ Feedback Attitudes by a Deep Learning Approach

Method for classroom teaching quality evaluation in college English based on the probabilistic uncertain linguistic multiple-attribute group decision-making

Enhanced decision-making through an intelligent algorithmic approach for multiple-attribute college English teaching quality evaluation with interval-valued intuitionistic fuzzy sets

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