%0 Journal Article
%T 人工智能融入高校思想政治教育的现实挑战及应对策略<br>The Practical Challenges and Countermeasures of Integrating Artificial Intelligence into Ideological and Political Education in Colleges and Universities
%A 张书源
%A 刘婵
%J Advances in Social Sciences
%P 5885-5889
%@ 2169-2564
%D 2023
%I Hans Publishing
%R 10.12677/ASS.2023.1210807
%X 随着科学技术的蓬勃发展，人工智能在教育领域的应用愈加广泛，给高校思想政治教育的改革也带来了新的契机。主要表现为拓展了思想政治教育者的发展空间、思想政治教育针对性更强、思想政治教育教学场景智能化等优势。但是也面临思想政治教育者主体性地位降低、受教育者数据隐私存在暴露风险、人工智能造成思政教育价值性消解等诸多挑战。因此，在应对策略上，要提高思政教师的智能化素养，规范人工智能技术的教育应用场景，坚持工具理性与价值理性相结合，以此更好地促进人工智能技术融入高校思想政治教育。<br />
With the vigorous development of science and technology, the application of artificial intelligence in the field of education has become more and more extensive, which has brought new opportunities for the reform of ideological and political education in colleges and universities. It is mainly manifested in the advantages of expanding the development space of ideological and political educators, making ideological and political education more targeted, and intelligentizing ideological and political education teaching scenarios. However, it also faces many challenges such as the decline of the subjectivity status of ideological and political educators, the risk of exposure to the data privacy of the educated, and the dissolution of the value of ideological and political education caused by artificial intelligence. Therefore, in terms of countermeasures, it is necessary to improve the intelligent literacy of ideological and political teachers, standardize the educational application scenarios of artificial intelligence technology, and adhere to the combination of instrumental rationality and value rationality, so as to better promote the integration of artificial intelligence technology into ideological and political education in colleges and universities.
%K 人工智能，高校，思想政治教育，现实挑战，应对策略<br>Artificial Intelligence
%K Colleges and Universities
%K Ideological and Political Education
%K Practical Challenges
%K Countermeasures
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=73992