Since the reform and opening up,erroneous ideas of the West come to China,which have given us a great challenge.To some degree,our ideological and political education has been neutralized.Ideological and political education is of outstanding ideological,political and moral value orientation.Faced with economic globalization,political democracy and cultural diversity,our ideological and political education should focus on the education of Marxist Theory.With the socialistic core value system,we should arm Communist Party of China,teach our people and promote ideology education.

Ideological and Political Education in Ideology

Abstract Smart mobile learning (SML), an online learning system built on artificial intelligence technology, signifies a key development trajectory for mobile learning. However, the current literature reveals a research deficit in introducing specific constructs that represent the categorical level of gratification towards SML, and a new gratification for the intelligent dimension of SML has yet to be identified. Utilising the uses and gratifications (U&amp;G) framework, this study identifies five categories of user gratification. These are derived from five theoretical perspectives, including the incentive theory of motivation, learning theory, diffusion of innovation theory, self-determination theory, and flow theory. Hence, this research integrates aspects of technology, content, social, utilitarian, and hedonic gratification to examine their influence on users’ continuance intention towards SML. This study focuses on Liulishuo, an SML app, as a typical research object and incorporates data from 495 valid samples. The analysis via partial least-squares structural equation modelling (PLS-SEM) indicates the hierarchical significance of various gratifications influencing continuance intention. The empirical findings suggest that in the realm of SML, users’ expectations surpass basic intrinsic needs in importance. For the first time, this study introduces the intelligence construct to investigate users’ technology gratification concerning SML, thereby empirically establishing the validity of this construct. This study reveals that technology gratification, embodied in the notion of intelligence, is the most critical determinant of continuance intention towards SML, a relationship that has previously remained unexplored. 

A uses and gratifications approach to examining users’ continuance intention towards smart mobile learning

The effectiveness plays a key role in ideological and political education and how to be improved has already been an important and urgent researching subject. The causes leading to the insufficient effectiveness include the external environment impact for the educated,the fuzzy value concept of educators,the ineffective combination between right theory and practice,etc. To improve the effectiveness of the ideological and political work,we should educate students according to their aptitude,implement layer teaching,innovate the educational form,strengthen the educational team,give full play to educators,initiative,optimize the educational environment,and so on.

On the Effectiveness of Ideological and Political Education

The analysis of students’ attitudes and perceptions represents a basis for enhancing different types of activities, including teaching, learning, assessment, etc. Emphasis might be placed on the implementation of modern procedures and technologies, which play an important role in the process of digital transformation. Among them is artificial intelligence—a technology that has already been found to be applicable in various sectors. When it comes to education, several AI-based tools and platforms can be used by students and teachers. Besides offering customized learning experiences, AI may play a significant part in establishing the concept of sustainability, especially when concerning the achievement of sustainable development goal 4. This paper investigates students’ intention to use artificial intelligence in education, taking three predictors from the UTAUT model and AI awareness as the moderator. The analysis included students from the Autonomous Province of Vojvodina, Republic of Serbia. For the purpose of the research, the partial least squares structural equation modeling (PLS-SEM) method was applied. Hereby, two models (without and with a moderator) were tested to examine the main and moderating effects, respectively. Regarding the results, while interaction terms were non-significant, the impacts of performance expectancy, effort expectancy, and social influence on behavioral intention were significant and positive.

Students’ Intention toward Artificial Intelligence in the Context of Digital Transformation

In this paper, we conduct research on the necessity and the way of introducing legal theory into college ideological and political education under legal environment. Education courses in colleges and universities should grasp of Marxism is the unity of scientific theories and scientific faith that causes the student to accept and agree with Marxism, to establish faith in Marxism. All faith in essence is the awakening of man "class consciousness", is the feeling of value and meaning of life, to leave this, any belief is not established, the establishment of Marxism belief is also inseparable from it. Therefore under the new media environment, the ideological and political teachers should actively change the teaching idea, set up the general modern education teaching idea, further strengthen the application of all kinds of new media in ideological and political education, only in this way can in maximum extent, improve the college ideological education level and education quality, and promote the healthy development of college students. Under this basis, this paper proposes the novel and new idea on the issues that will be innovative and helpful.

https://dpi-proceedings.com/index.php/dtssehs/article/download/4412/4051

Analysis on the Necessity and the Way of Introducing Legal Theory into College Ideological and Political Education under Legal Environment

In this paper, we analyze the unique paradigm of ideological and political education, ideological and political education of traditional paradigms no longer meet the growth of university students, by ideological and political education paradigm from "monologue" to "dialogue" conversion, combined with the actual college students, give full play to college students the role of ideological and political education paradigm. The arrival of the era of big data, not only brings opportunities to the ideological and political education of college students, but also posed a serious challenge. Virtual social identity shaken the existing system, a profound impact on the ideological and political education environment, threats Students privacy and how to interpret scientific data become big new issues. Promote ideological and political education work based on large data Mechanism Innovation students, educators to enhance their level of information, to take a scientific means to enhance the effectiveness of large data acquisition, based on innovation paradigm of big data, improve the relevant rules and regulations, Big Data Application processing procedures, accurately grasp the ideological trend of dynamic students, sharing complex associated data. From effectiveness departure ideological and political education, noting that the era of ideological and political education needs paradigm shift, put forward the ideological and political education paradigm shift orientation: Students diversification purposes of ideological and political education, humanity; target specific ideological and political education technology, equalization; ideological and political education of life, flexible technology; ideological and political education means of penetration, interactive. Four aspects of ideological and political education of the people Paradigm conducted a preliminary inquiry, hoping to take this direction to ensure the ideological and political education Paradigm successfully converted.

http://www.dpi-proceedings.com/index.php/dtssehs/article/download/9320/8886

A Study on College Students' Ideological and Political Education from the Perspective of System Harmony and Traditional Culture

Research on the Effectiveness of Integrating Ideological and Political Education into Higher Mathematics Teaching

A better understanding of how advancement in science and technology affect students’ learning behavior in academic setting can help all educators in higher education. With the advancement of science and technology, the new-generation information technology represented by "Cloud Computing, Big Data, Internet of Things, Mobile Network and Artificial Intelligence" has been profoundly changing the form of education, accelerating the transformation from Teaching 1.0 to Learning 2.0. To investigate the factors influencing university students using new generation of information technology in intelligent foreign language learning, this study proposed a research model based on Technology Acceptance Model (TAM). The sample data were collected from a survey of 237 students at a university. The analysis of structural equation modeling indicated that perceived usefulness, perceived ease of use, construction of foreign language intelligence classroom, and computer self-efficacy all have a positive impact on learners’ behavioral intention. These findings suggest that more emphasis should be laid on students’ learning characteristics, advantages of new generation of technology, as well as teachers’ intelligent literacy, so as to further promote the deep integration of the new-generation information technology and intelligent foreign language learning, improving the learning effectiveness ultimately and effectively.

A Research on University Students' Behavioral Intention to use New-generation Information Technology in Intelligent Foreign Language Learning

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A Study on College Students' Ideological and Political Education from the Perspective of System Harmony and Traditional Culture

Research on the Effectiveness of Integrating Ideological and Political Education into Higher Mathematics Teaching

A Research on University Students' Behavioral Intention to use New-generation Information Technology in Intelligent Foreign Language Learning