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

<p>With the development of information technology and the advancement of education informatization, the use of mathematical modeling and extensive data analysis technology makes the realization of precision education possible. In this paper, we study the problem of precise teaching intervention from the perspective of multi-stage decision-making, introduce a reinforcement learning algorithm, portray the process attributes and temporal characteristics of teaching, use a Q-learning algorithm to construct a general framework for precise teaching intervention, and through the empirical study of Ideologicalcs teaching in colleges and universities, we show the specific application of this framework in teaching practice and analyze the digital transformation path of the Ideologicalcs education in colleges and universities. The results show that under precise teaching intervention, the students’ pre-post test scores of each Ideologicalcs behavioral characteristic index are significantly different at the 0.05 level. This study helps improve students’ learning effectiveness and provides support for teachers to conduct precise ideological teaching.</p>
</abstract>

With the development of information technology and the advancement of education informatization, the use of mathematical modeling and extensive data analysis technology makes the realization of precision education possible. In this paper, we study the problem of precise teaching intervention from the perspective of multi-stage decision-making, introduce a reinforcement learning algorithm, portray the process attributes and temporal characteristics of teaching, use a Q-learning algorithm to construct a general framework for precise teaching intervention, and through the empirical study of Ideologicalcs teaching in colleges and universities, we show the specific application of this framework in teaching practice and analyze the digital transformation path of the Ideologicalcs education in colleges and universities. The results show that under precise teaching intervention, the students’ pre-post test scores of each Ideologicalcs behavioral characteristic index are significantly different at the 0.05 level. This study helps improve students’ learning effectiveness and provides support for teachers to conduct precise ideological teaching.

Exploration of Digital Transformation Path of Ideological education in Colleges and Universities with the Help of Digital Technology

Criminal Investigatione Police University of China

Applied Mathematics and Nonlinear Sciences

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

With the development of information technology and the advancement of education informatization, the use of mathematical modeling and extensive data analysis...

Exploration of Digital Transformation Path of Ideological education in Colleges and Universities with the Help of Digital Technology

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 21. Apr. 2024

Akzeptiert: 27. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0888

Schlüsselwörter
Multi-stage decision-making, Teaching intervention, Reinforcement learning algorithm, Q-learning

© 2024 Yutong Liu et al., published by Sciendo

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

Exploration of Digital Transformation Path of Ideological education in Colleges and Universities with the Help of Digital Technology

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 21. Apr. 2024

Akzeptiert: 27. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0888

SchlüsselwörterMulti-stage decision-making, Teaching intervention, Reinforcement learning algorithm, Q-learning

© 2024 Yutong Liu et al., published by Sciendo

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

Schlüsselwörter
Multi-stage decision-making, Teaching intervention, Reinforcement learning algorithm, Q-learning