He Xiaoqing, Chen Peiyao, Wu Jieting, Dong Zhen
School of Marxism, Chengdu Normal University, Chengdu, China.
China Aerospace Science & Industry Corp., Beijing, China.
Front Psychol. 2021 Oct 22;12:731166. doi: 10.3389/fpsyg.2021.731166. eCollection 2021.
At present, low teaching efficiency has been the common problem of ideological and political education in colleges and universities in China. It is essential to improve the teaching efficiency and realize the intelligent information transformation of the ideological and political courses in colleges and universities. First, the relationship between ideological and political courses and the educational psychology of college students was analyzed based on the theoretical characteristics of educational psychology and college ideological and political courses. Additionally, the teaching efficiency of ideological and political courses based on deep learning (DL) was analyzed through a literature survey. Combined with online teaching modes such as the flipped classroom and Massive Open Online Courses, a comprehensive online teaching mode of college ideological and political courses was proposed educational psychology and the Single Shot MutiBox Detector networks of DL. Then, a total of 100 research subjects were selected randomly from the freshmen and sophomores of the Southwest University of Science and Technology, and their acceptability to the online ideological and political courses was analyzed by a questionnaire survey. The results show that the adopted questionnaire had high reliability and validity, and the proportion of respondents of different genders, grades, and majors was essentially balanced. More than half of the students had a good understanding of the comprehensive ideological and political courses and made progress in their values, ideology, morals, and knowledge reserves. More than half of the students had a positive attitude to the course, and they thought that the class atmosphere of the course was active, which was conducive to a satisfactory learning effect. This indicates that the teaching strategy of ideological and political courses in colleges and universities that integrates educational psychology, DL, and online information can attract students. The contribution of this study is that the research outcome can be applied to the concrete formulation of the teaching strategies of ideological and political courses for college students.
目前,教学效率低下一直是我国高校思想政治教育的普遍问题。提高教学效率,实现高校思想政治课程的智能信息化转型至关重要。首先,基于教育心理学和高校思想政治课程的理论特点,分析了思想政治课程与大学生教育心理学之间的关系。此外,通过文献调研分析了基于深度学习(DL)的思想政治课程教学效率。结合翻转课堂和大规模在线开放课程等在线教学模式,提出了一种融合教育心理学和深度学习单阶段多框检测器网络的高校思想政治课程综合在线教学模式。然后,从西南科技大学大一、大二学生中随机选取100名研究对象,通过问卷调查分析他们对在线思想政治课程的接受程度。结果表明,所采用的问卷具有较高的信效度,不同性别、年级和专业的受访者比例基本均衡。超过半数的学生对综合思想政治课程有较好的理解,在价值观、思想、道德和知识储备方面取得了进步。超过半数的学生对该课程持积极态度,他们认为该课程的课堂氛围活跃,有利于取得满意的学习效果。这表明,融合教育心理学、深度学习和在线信息的高校思想政治课程教学策略能够吸引学生。本研究的贡献在于,研究成果可应用于大学生思想政治课程教学策略的具体制定。