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基于 IP 环境下人工智能模型的信仰和实践评估。

Beliefs and Practice Evaluation Based on Artificial Intelligence Models under the IP Environment.

机构信息

School of Marxism, Zhengzhou College of Finance and Economics, Zhengzhou 450000, China.

出版信息

J Environ Public Health. 2022 Sep 27;2022:1415142. doi: 10.1155/2022/1415142. eCollection 2022.


DOI:10.1155/2022/1415142
PMID:36203503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9532110/
Abstract

The digitization of thought theory is not yet sufficient to meet the needs of the students. It is very necessary to strengthen the construction of ideological and political (IP) courses, strengthen the education of mainstream ideology, and occupy the initiative of discourse. There are effective ways and means to study the deep integration of information technologies into the new age of philosophy and philosophy education of students, which can greatly improve the quality of teaching and the effectiveness of humanities courses. The intuitive development of intellectual and political education through artificial intelligence is both a real prerequisite for modern development and technological innovation and for new ideas confronting the specific problems of thought-politics education, and it is a necessary prerequisite to ensure the quality and efficiency to improve the teaching of thought politics. AI in ways that embed technology provides a powerful impetus for contradictory movements in thought-politics discourse that lead the effective coordination of its internal elements to high-quality developments. In a practical way, we should take full advantage of the technical advantages of artificial intelligence, through intelligent mehrfachanalyse corresponding algorithms, artificial intelligenzbilder, and artificial roboterbilder photos and profiles that are used to write and accurately provide more precise, leading, stacking, and accurate estimates to maximize and to improve the accuracy of thought and policy education. Philosophy and political theory are the keys to guiding people to accomplish basic human tasks. With the passage of time and with continuous innovation, ideology and philosophical principles are both prerequisites for the self-development of the emotions of the age and necessary for improving the outcomes and effectiveness of scientific education. Advances in the field of artificial intelligence have fundamentally changed human life and have also impacted traditional school and university education systems. This brings new opportunities and challenges to students. This includes the use of smart technology to improve the learning process. Ideological teachers and policymakers must keep up with the all-round trend of the times, make full use of the benefits brought by intelligent new technologies and platforms, effectively improve the effect of ideological education, and further increase the attractiveness, attraction, persuasion, and contagion of ideological education.

摘要

思维理论的数字化还不足以满足学生的需求。非常有必要加强思想政治(IP)课程的建设,加强主流意识形态的教育,占据话语的主动权。研究信息技术与新时代学生哲学和哲学教育深度融合的有效途径和方法,可以极大地提高教学质量和人文课程的效果。通过人工智能实现思想政治教育的直观发展,既是现代发展和技术创新的现实前提,也是新思想面对思想政治教育具体问题的前提,是保证提高思想政治教学质量和效率的必要前提。人工智能以嵌入技术的方式为思想政治话语的矛盾运动提供了强大的动力,引领其内部要素的有效协调向高质量发展。在实践中,我们要充分利用人工智能的技术优势,通过智能 mehrfachanalyse 对应算法、人工intelligenzbilder 和人工roboterbilder 照片和个人资料的写作和准确提供更精确、领先、堆叠和准确的估计,最大限度地提高和改善思想和政策教育的准确性。哲学和政治理论是指导人们完成基本人类任务的关键。随着时间的推移和不断的创新,思想和哲学原则既是时代情感自我发展的前提,也是提高科学教育成果和效果的必要条件。人工智能领域的进步从根本上改变了人类生活,也对传统的学校和大学教育系统产生了影响。这给学生带来了新的机遇和挑战。这包括使用智能技术来改善学习过程。思想教师和政策制定者必须跟上时代的全面潮流,充分利用智能新技术和平台带来的好处,有效提高思想教育的效果,进一步提高思想教育的吸引力、吸引力、说服力和感染力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/6047dfdfc93a/JEPH2022-1415142.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/b599a0299b54/JEPH2022-1415142.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/376ae2cf4f7e/JEPH2022-1415142.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/a7df6d79a971/JEPH2022-1415142.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/35da1902de35/JEPH2022-1415142.004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/08bc9b224e1f/JEPH2022-1415142.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/8353330d168f/JEPH2022-1415142.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/6047dfdfc93a/JEPH2022-1415142.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/b599a0299b54/JEPH2022-1415142.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/376ae2cf4f7e/JEPH2022-1415142.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/a7df6d79a971/JEPH2022-1415142.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/35da1902de35/JEPH2022-1415142.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/49eed8db4175/JEPH2022-1415142.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/08bc9b224e1f/JEPH2022-1415142.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/8353330d168f/JEPH2022-1415142.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d593/9532110/6047dfdfc93a/JEPH2022-1415142.008.jpg

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引用本文的文献

[1]
Unmasking the challenges in ideological and political education in China: A thematic review.

Heliyon. 2024-4-10

[2]
Retracted: Beliefs and Practice Evaluation Based on Artificial Intelligence Models under the IP Environment.

J Environ Public Health. 2023-8-30

本文引用的文献

[1]
The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs.

Adv Health Sci Educ Theory Pract. 2020-12

[2]
An Observation of a Resident-as-Teacher Combined with Tutor Guided Hysteroscopy Teaching Program for Standardized Residency Training (SRT) in Obstetrics and Gynecology.

J Healthc Eng. 2020

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