The Construction of an Evaluation Index System for Assessing Practical Teaching Quality in Higher Vocational Education

Tang, C.L.; Zhou, Yue-xiao

doi:10.12783/dtssehs/emass2016/6759

Cited by 2 publications

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“…With the development and promotion of artificial intelligence algorithms-neural networks, a large number of academics have investigated on how neural networks might improve the evaluation of teaching quality, achieving better results than old techniques [3]. However, it is difficult to construct the structure of a neural network algorithm, and it is possible to fall into a local optimum; algorithm results are unstable when tiny samples are employed, and its theoretical base is not flawless.…”

Section: Introductionmentioning

confidence: 99%

Research on Education Teaching Quality Analysis Based on the Neural Network Model

Zhu

2022

Security and Communication Networks

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Universities emphasize quality review and monitoring. To effectively evaluate classroom teaching effectiveness, a trustworthy model of teaching quality evaluation is required. Due to the fact that teaching is a dynamic process, numerous elements influence teaching quality, and the link between assessment index and teaching effect is complex and nonlinear. There are numerous methods for measuring the quality of classroom instruction, but the vast majority of it relies on a single machine learning algorithm, making it difficult to construct an accurate and reliable mathematical model. In this paper, we employ the AdaBoost’s multicore neural network learning algorithm to learn several weak classifiers and combine them into a single strong classifier. We also transfer the classification probabilities into teaching quality outcomes to obtain the final teaching quality results. Our model offers a new, effective way for evaluating the quality of classroom instruction, and it can serve as a solid theoretical resource for reforming classroom instruction.

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Section: Introductionmentioning

confidence: 99%

Research on Education Teaching Quality Analysis Based on the Neural Network Model

Zhu

2022

Security and Communication Networks

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“…Compared with the time and energy spent on evaluating students' learning results, it is more difficult to evaluate and describe students' learning process. Based on this, it is not enough to rely only on the perseverance and perseverance of teachers, but also must be guaranteed by a scientific overall design (Tang, 2021).…”

Section: Resultsmentioning

confidence: 99%

Organizational culture, teacher self-efficacy, and quality in Chinese higher vocational colleges

2024

IJRSM

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The purpose of this study is to determine the relationship among organizational culture, teacher self-efficacy and quality in Chinese higher vocational colleges. The study adopts descriptive research method and questionnaire as the main data collection tool. A total of 305 respondents from three higher vocational colleges in China participated in the study. The results showed that: teachers in higher vocational colleges generally have a high degree of recognition of organizational culture, among which management style is the highest recognition, teachers' selfefficacy performance is good, especially in teaching, showing high self-confidence, teachers' evaluation of teaching quality is good, especially in teaching disciplines and teaching guidance.When demographic variables are grouped according to educational attainment, there are significant differences in commitment in organizational culture, motivational effectiveness in teacher self-efficacy, and assessment in teaching quality. There is a significant correlation between organizational culture, teachers' self-efficacy and teaching quality, indicating that the better organizational culture, the better teachers' self-efficacy and teaching quality. Based on the research conclusions, the training development plan is proposed, and it is suggested that higher vocational colleges should clarify development goals, strengthen team cooperation, provide professional development opportunities, establish teaching evaluation feedback mechanism, and suggest teachers to establish a multi-dimensional evaluation system. This provides substantive suggestions and guidance for the comprehensive development of higher vocational colleges.

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The Construction of an Evaluation Index System for Assessing Practical Teaching Quality in Higher Vocational Education

Cited by 2 publications

References 0 publications

Research on Education Teaching Quality Analysis Based on the Neural Network Model

Research on Education Teaching Quality Analysis Based on the Neural Network Model

Organizational culture, teacher self-efficacy, and quality in Chinese higher vocational colleges

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