<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Aesthetic education is the right thing to do in higher education institutions to establish moral education. To accurately grasp the basic concept of educating people with beauty, effectively integrate the academic and practical teaching resources of aesthetic education, and create a system of aesthetic education in higher vocational institutions with the cultivation of aesthetic and humanistic qualities as the core and the cultivation of innovative abilities as the focus, is not only necessary new ideas teaching way aesthetic learning approach deepen the reform of aesthetic education classroom, but also necessary increase mechanism of educating people in school optimize the pattern of talent cultivation. This paper discusses the mathematical model of innovative teaching to determine the current scientific and technological period with different regions as the benchmark. Under the teaching program evaluation model, the selection of variables for the evaluation model, the single-stage and multi-stage innovative teaching approach, mutual assistance final validation research of the model. The results show that the mean values of both pre and post-class performance changed, with the experimental class performance improving at a value of 21.68 and the control class performance improving at a value of 1.52, with inconsistency between the two contrasting carriers’ performance (<italic>t</italic>=2.266, <italic>df</italic>=68, <italic>p</italic>=0.032&lt;0.05) and the experimental class performance on the post-test being better control team. The obvious way to learn the effect of an innovative, better learning path is the most authentic. The big data teaching model constructed in this paper can provide a more complex and accurate analysis of the teaching process and realize a wider range of applications, such as learning early warning, learning intervention, learning diagnosis, learning recommendation, comprehensive literacy evaluation, and student growth monitoring, to provide students with accurate and personalized education services.</p>
</abstract>

Aesthetic education is the right thing to do in higher education institutions to establish moral education. To accurately grasp the basic concept of educating people with beauty, effectively integrate the academic and practical teaching resources of aesthetic education, and create a system of aesthetic education in higher vocational institutions with the cultivation of aesthetic and humanistic qualities as the core and the cultivation of innovative abilities as the focus, is not only necessary new ideas teaching way aesthetic learning approach deepen the reform of aesthetic education classroom, but also necessary increase mechanism of educating people in school optimize the pattern of talent cultivation. This paper discusses the mathematical model of innovative teaching to determine the current scientific and technological period with different regions as the benchmark. Under the teaching program evaluation model, the selection of variables for the evaluation model, the single-stage and multi-stage innovative teaching approach, mutual assistance final validation research of the model. The results show that the mean values of both pre and post-class performance changed, with the experimental class performance improving at a value of 21.68 and the control class performance improving at a value of 1.52, with inconsistency between the two contrasting carriers’ performance (t=2.266, df=68, p=0.032<0.05) and the experimental class performance on the post-test being better control team. The obvious way to learn the effect of an innovative, better learning path is the most authentic. The big data teaching model constructed in this paper can provide a more complex and accurate analysis of the teaching process and realize a wider range of applications, such as learning early warning, learning intervention, learning diagnosis, learning recommendation, comprehensive literacy evaluation, and student growth monitoring, to provide students with accurate and personalized education services.

Innovative Teaching Strategies for Aesthetic Arts in Higher Education Institutions Based on Big Data Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Aesthetic education is the right thing to do in higher education institutions to establish moral education. To accurately grasp the basic concept of educating...

Innovative Teaching Strategies for Aesthetic Arts in Higher Education Institutions Based on Big Data Technology

Data publikacji: 11 sie 2023

Zakres stron: -

Otrzymano: 03 wrz 2022

Przyjęty: 20 lut 2023

DOI: https://doi.org/10.2478/amns.2023.2.00170

Słowa kluczowe
Big data, Higher education institutions, Mathematical model, Post-test, Linear regression

© 2023 Zhiyuan Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovative Teaching Strategies for Aesthetic Arts in Higher Education Institutions Based on Big Data Technology

Data publikacji: 11 sie 2023

Zakres stron: -

Otrzymano: 03 wrz 2022

Przyjęty: 20 lut 2023

DOI: https://doi.org/10.2478/amns.2023.2.00170

Słowa kluczoweBig data, Higher education institutions, Mathematical model, Post-test, Linear regression

© 2023 Zhiyuan Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Big data, Higher education institutions, Mathematical model, Post-test, Linear regression