Civics Courses Research Articles

Teaching civics for sustainability in post-authoritarian order: The challenges of developing progressive citizenship in new democracies – Lessons from Poland

Civics courses have a great significance – they are supposed to train new cohorts of citizens to engage in multiple public roles in (democratic) society. How it is done depends on a multitude of factors, and teachers’ performance and program contents are among the most important. In post-authoritarian order like Poland, civic contents of educational curricula acquire particular significance: they must lay foundation for new forms of citizenship necessary for the consolidation of democracy. In new democracies, defining development is a lot more than talking about economic or political formulas. Ideas of sustainable development belong in a package of ideas which may anchor people in progressive world order, yet they meet resistance from the traditions and mindsets inherited from the previous system (homo sovieticus). SDG Civics, that is, that part of the catalogue of Sustainable Development Goals which directly refers to political agency, becomes a set of patchwork ideas incorporated into democratic citizenship. Through the study of academic curricula, textbooks, and government policies, this paper addresses the complexity of the problem of civics education in new democracies. It sees sustainable development as a concept wrestling with pressures coming from different ideologies, institutions, actors, and visions of the future. This article should be seen as a contribution to the discussions about the political nature of sustainability.

Fostering Spiritual Intelligence in the Young Generation Through the PKN Course

Fostering Spiritual Intelligence in the Young Generation through Civics Courses The future of a nation today is in the hands of the younger generation, where the successors of the nation who are intelligent and have good morals and personality, can be realized through civic education. Considering that youth are agents of change who are always favored because they have high enthusiasm, creativity, competitiveness, and idealism. The younger generation must focus on aspects of instilling attitudes and personalities, in order to become good citizens, in addition to having intellectual intelligence, the younger generation must also have spiritual intelligence, because spiritual intelligence is an important thing for students. With spiritual intelligence will create a young generation who are moral and can change the world for the better. The population of this study is the entire young generation who are students from several universities and the younger generation who have worked and are domiciled in the Pangkalpinang City area with Purposive sampling involving 118 respondents who have characteristics aged 18-35 years who are domiciled in Pangkalpinang. The analysis method to be used to analyze the data is SPSS 26.0.

Research and Design of Auxiliary Teaching System for College Students’ Civics and Political Science Courses in the Context of Deep Learning

At present, the auxiliary teaching system for Civics and Politics courses has problems such as low accuracy of knowledge state prediction and insignificant effect of personalized learning, which affects the actual learning effect. In this paper, we analyze the demand for the teaching of college students’ Civics and Politics based on the background of deep learning, and discuss the overall design of the system. Based on the open-source online teaching system CAT-SOOP, a set of augmented learning algorithm-based Civics course assisted teaching system is designed and implemented, which is based on the student practice data, training student knowledge tracking model and augmented learning recommendation engine for assisting the personalized recommendation of student’s Civics exercises. The results show that compared with the random recommendation method, the relevance of the recommended exercises of this system is improved from 0.03 to 0.238, the reward value is more stable, and the maximum value is improved by 0.2. The Civics course assisted teaching system designed in this paper for college students achieves the expected goals and meets the diversified needs of the audience of intelligent Civics education.

Exploration of the Curriculum Reform of Psychological Health Education for College Students from the Perspective of Ideological and Political Education

This article discusses the teaching reform and exploration of the course 'Civics and Politics of College Students' Mental Health Education'. It analyses the synergetic cultivation of ideological and political education and college students' mental health education as an important initiative for colleges and universities to carry out the fundamental task of cultivating morality and educating people. The article analyses the current teaching status of the course 'Mental Health Education for College Students', including the current situation and problems in the nature of the course, teaching content, teaching form, and teaching evaluation. The text puts forward the role of the civics course and the obstacles it faces. It proposes measures for improvement, including constructing civics teaching system, cultivating civics teaching team, updating the concept of the civics course, enriching the form of civics teaching, and establishing an evaluation mechanism for civic and political integration. This paper presents a systematic analysis and solution for the reform of Civics and Politics teaching in college students' mental education courses.

Establishing Citizen Democratic Networks to Promote Political Participation in Schools under the Provincial Administrative Organization in Mahasarakham

This research focused on the mechanism of establishing citizen democratic networks to promote political participation in schools under the provincial administrative organization in Mahasarakham. This research aimed to 1) analyze the model of creating a civil-democratic network between universities and schools, and 2) study the process of promoting students’ political participation in schools under the provincial administrative organization in Mahasarakham. The qualitative research methods were conducted by document study and then in-depth interviews with the participant observation method. Research instruments were 1) the related documents and research in a reliable database, and 2) four interview questions for each group and the participant observations form. Collected data were analyzed and categorized into critical issues and themes based on the literature. The participants comprised sixty-two interviewees and were divided into four groups: 1) Two representatives of the Office of Education, Religion and Culture of the provincial administrative organization; 2) Twenty school administrators under the provincial administrative organization; 3) Twenty teachers responsible for the civics course, and 4) Twenty high school students. The findings revealed: 1) The model for creating a civic network between universities and schools. There must be a central person in the management position with the authority to command leadership and technical communication between the school and the university. The creation of a network of citizens of democracy will be successful. 2) The process of creating the political participation of students in schools arose from the process of building democratic citizenship through school education and extra-curricular activities. Students can then apply that knowledge in daily life.

Exploration of Blended Teaching Methods for Civics Courses in Colleges and Universities under the Background of Melting Media

Exploration of Blended Teaching Methods for Civics Courses in Colleges and Universities under the Background of Melting Media

IMPLEMENTASI NILAI ANTI KORUPSI DENGAN PROJECT CITIZEN PADA MATA KULIAH PENDIDIKAN KEWARGANEGARAAN

The aim of this research is to implement anti-corruption values to students using the project citizen model.The research method used is descriptive qualitative. Data collection techniques in thisresearch, researchers used data collection techniques in the form of observation, interviews, documentation, triangulation and literature study. The analysis techniques used are data reduction, data presentation, and drawing conclusions/verification.The results of the research show that the implementation of anti-corruption education at IKIP PGRI Pontianak is a mandatory subject for the Civics Study Program and is integrated with Civics courses in other study programs, apart from that it is also implemented through student activities, extracurricular activities, and study program association activities and student unit activities. . The steps in the project citizen model are identifying problems, selecting problems, collecting information related to the problem, developing a class portfolio, presenting the class portfolio and reflecting on learning experiences. The anti-corruption values implemented through the project citizen learning model consist of honesty, discipline, hard work, caring, courage, responsibility, simplicity, independence and justice.

Development of Civics Course for College Students Based on Integrated Transfer Learning Strategy

Abstract This paper explores how to effectively predict and analyze students’ Civics course grades and their correlation with students’ behaviors based on the integrated transfer learning strategy to improve the teaching quality of Civics courses for college students through the integrated transfer learning strategy. The feature engineering method is used to extract the achievement features, and the achievement analysis and prediction model is established by Stacking integrated learning method combined with various algorithms such as KNN, linear regression and decision tree. By predicting and analyzing the Civics grades of college A students, the results show that the average error between the expected grades and the measured grades of computer science majors is 4.00 points. In contrast, biological science majors underestimate it by 5.41%. In addition, the cluster analysis of students’ behaviors using the k-mediods algorithm revealed significant differences between students with excellent academic performance and those with poorer performance in behaviors such as frequency of consumption and number of books borrowed. The integrated transfer learning strategy has a better application effect in the prediction and analysis of the performance of the Civics course, which can provide a powerful support to improve the quality of teaching.

Virtual Practice Teaching of Civics Classes in Colleges and Universities in the Context of Big Data Technology

Abstract In this study, we successfully realized the interaction design of virtual Civics teaching scene through multiresolution hierarchical detail (LOD) model, and constructed an immersive teaching environment using texture mapping technology. Combined with the gesture recognition and training of Adaboost classifier, this paper proposes an innovative interaction model for virtual Civics and Politics teaching. Through in-depth Analysis of the virtual interactive teaching elements of Civics courses in colleges and universities, this study conducted a covariance analysis of the aspects of creativity, critical thinking, metacognition, self-efficacy, and scientific ideological reasoning. Then it explored the effects of different places of origin and types of schools on the acceptance of virtual Civics courses by the students. It was found that among the science and engineering and teacher training students, the science and engineering students paid more attention to the virtual Civics teaching (3.36 and 3.05, respectively). In addition, compared with traditional Civics teaching, virtual practice teaching significantly increased students’ motivation (3.79), proving that Civics courses incorporating virtual interaction design have significant advantages in improving learning attractiveness.

Transformation Research on the Teaching Mode of Ideological and Political Courses in Colleges and Universities under Big Data Environment

Abstract The application of big data technology in the teaching of ideology and politics courses in colleges and universities can provide strong support for the precise reform and innovation of ideology and politics work. In this paper, we first sort out the status quo and dilemma of the teaching of ideology and politics courses in colleges and universities and analyze the advantages and feasibility of big data technology in the learning of ideology and politics. Then, based on the big data streaming computing Spark framework, a personalized learning service platform for teaching Civics and Politics courses in colleges and universities was established. Aiming at the online learning behavior of students on the platform, the K-mean algorithm is used to select their behavioral characteristics. The personalized recommendation of learning resources for Civics and Political Science courses is implemented based on the learning behavior. Data was utilized to analyze the effectiveness of the personalized learning platform in transforming the teaching of Civics and Political Science courses in colleges and universities using S University as the research object. The study found that the number of focused learners in category 1 of the online learning behavior reached 303, and the teaching of the Civic and Political Science course based on the personalized learning platform helped the students’ will cultivation score increase by 2.49 points and more than 95% of the students recognized the platform. The customized service learning platform for teaching Civics courses established based on big data can realize the innovative transformation of Civics courses in colleges and universities and improve the teaching quality and level of Civics courses in colleges and universities.

Integration of Red Cultural Resources into the Teaching of Civics in College Curriculum Based on VR Modeling

Abstract The broadening of the teaching field and the innovation of the teaching form of the Civics course in colleges and universities are important links in the teaching reform of the Civics course. This paper relies on the reality support of red cultural resources integrated into the teaching of civic politics class of VR technology, selects the influencing factors to build a structural equation model, carries out correlation analysis and the measurement of model path coefficients, and mines the factors affecting the integration of red cultural resources into the teaching, of course, civic politics. On this basis, we explore the practical path of integrating red resources into the teaching of Civics courses in colleges and universities based on the VR model and combine the descriptive statistical analysis and multiple regression analysis to explore the effectiveness of integrating red cultural resources into the teaching of Civics based on the VR model in four dimensions. Learning motivation, self-efficacy, difficulty expectation, classroom environment, group influence, curriculum design, facilitation, and teaching ability all significantly affected the integration of red resources into Civics and Political Science teaching (P < 0.05). Based on the VR model, the red cultural resources have a better effect of integrating into the teaching of ideology and politics, and the scores of all dimensions are more than 4, among which the score of emotional identity is the highest, 4.566. The use of VR technology is an inevitable trend of education modernization, and colleges and universities should apply it to enrich and expand the content of “curriculum ideology and politics” and to promote the construction of information technology and teaching reform of the ideology and politics in colleges and universities. The modernization of education is inevitable due to the use of VR technology.

Research on the Path of Improving the Parenting Ability of Teachers of Marxist Civics Classes in Colleges and Universities Based on Bidirectional Recurrent Neural Networks

Abstract Drawing on the insights from the expert consultation form and the current state of parenting ability among teachers of Marxist Civics courses in higher education institutions, this paper initiates the selection of evaluation indicators for these teachers’ pedagogical skills. These indicators undergo reliability and validity testing before finalizing the evaluation system. Subsequently, the indices are quantified, and principal component analysis is employed to reduce the dimensions of these indices, resulting in an index feature matrix. The scores of these evaluation indices serve as inputs to a Bidirectional Recurrent Neural Network (BiRNN), with the comprehensive ability scores of Civics teachers as the outputs. This forms the basis for constructing a BiRNN-based evaluation model for assessing the educational capabilities of Marxist Civics course instructors in colleges and universities. The study then proceeds with an empirical analysis using this model. The results show that BiRNN (RMSE=0.0084, R=0.9948) can effectively improve the evaluation accuracy of the parenting ability of college Civics teachers, and B1 to B10 all show a significant correlation with the parenting ability (Y) of Civics teachers (Sig<0.05). The Person correlation coefficients are 0.607, 0.691, 0.472, 0.785, 0.499, 0.758, 0.437, 0.539 and 0.519 respectively. This study reveals in depth the factors influencing the parenting ability of Marxist Civics teachers, which is of great significance in promoting the enhancement of the parenting ability of Marxist Civics teachers in colleges and universities.

Multimedia Delivery and Teaching Innovation of Civic Value in Art Education in the Digital Media Era

Abstract The rapid development of information technology and multimedia education in today’s world has led to important changes in the delivery of ideological values in the process of art education. In this paper, according to the form of multimedia presentation of knowledge, a multimedia learning cognitive model is used to study the process of multimedia transmission of Civic and political values. A diverse and efficient recommendation algorithm is proposed, and a recommendation system for Civics and Politics courses is constructed based on the algorithm. The method mines the set of high-efficiency items related to the relationship between courses and categories through a conceptual hierarchical tree and introduces a diversity upper bound function to optimize the mining process. Thus, rules are efficiently generated in the efficiently used generalized itemsets. A collaborative filtering algorithm between users and course types is used to find the neighbors that best match the target users. The results show that the four indicators of this paper’s recommender system are better than other recommender methods. The F-measure of this paper’s system is 0.45, which indicates that this paper’s method can produce the best recommendation effect of the Civics courses. The students in the process of art education can get the Civics course recommendation that is more suitable for them, which improves the efficiency of the Civics value transmission among students.

Digital Resource Development and Teaching Mode Innovation of Chinese Excellent Traditional Culture Calligraphy Art in Civic and Political Science Courses of Colleges and Universities

Abstract The excellent culture embedded in the art of calligraphy provides new teaching content for the design and realization of the educational objectives of the Civic and Political Science Program in colleges and universities and facilitates the formation of a new teaching mode. This paper combines the network calligraphy art resources, highlights the calligraphy interaction of the Civics course with the help of projection interaction settings, and proposes a new teaching mode of calligraphy art + Civics course in colleges and universities. It also proposes a full convolutional network algorithm based on an attention gate to deal with the task of binning calligraphic document images and extracting calligraphic resources. Combined with the design principles of interactive digital displays, the teaching concept and teaching design of the calligraphy art college Civics and Politics course are analyzed. Based on the results of convolutional neural network processing of calligraphy text image binarization and the recognition of calligraphy handwriting by convolutional neural network algorithm based on the Attention mechanism coding and decoding model, realize the practice of the new teaching mode of interactive calligraphy art + Civics and Politics course, and compare it with the traditional fusion method, and get the mean and standard deviation of the course grades of the traditional group and the interactive group as 36.12± respectively 6.35 points, 45.68 ± 4.73 points. The samples of different groups show significance (p<0.05) for all of participation, ability, challenge, and interest, which means that the mean value of the interactive group is higher than that of the traditional group in the four dimensions of participation, ability, challenge and interest in learning, which proves the feasibility of the teaching mode of the projected interactive calligraphy art resources + Civic and Political Science course proposed in this paper.

Strategies for Integrating Red Cultural Resources into Integrated Teaching of Civics and Political Science Courses in Universities and Primary Schools in the Context of Information Age

Abstract The in-depth integration of big data technology and red cultural resources promotes the integration of red cultural resources into the integrated construction of the Civic and Political Science curriculum. In this paper, we use information gained to extract the text features of red cultural resources, combine TF*IDF to calculate the weights of feature items, represent the text to the vector space model, put forward the automatic classification algorithm of decision tree red cultural resources text, and build the framework system of red cultural resources text classification. Teaching stage and political appearance are used as independent variables, respectively, to explore the differences in the teaching effect of Civics courses at different stages of universities, secondary schools, and elementary schools as well as among CPC members, members of the League, and the people, and focuses on analyzing the utilization rate of the red cultural resources of Civics course teaching as well as the students’ participation degree. The results show that only 0.0537 students think that the school functionaries are not working correctly, and there exist 0.4308 students who believe that the classroom teaching is not innovative enough. Combining red cultural resources and the integrated teaching of Civic and Political Science courses requires more excavation of red cultural resources and connotations and the formation of characteristic teaching.

The Construction and Application of the Effectiveness and Dynamic Teaching Evaluation Model of Big Civic and Political Science Courses

Abstract How to make the teaching quality of the Civics and Political Science class continuously improve, the teaching effectiveness is highlighted in the growth of students, and the comprehensive development of students is effectively promoted, which has become an important part of the educational evaluation reform of the Civics and Political Science class in colleges and universities. Based on the construction concept of the objectivity evaluation index system, this paper determines the evaluation index system of the effect and dynamic teaching of the big Civic and Political Science class. It adopts expert knowledge to pre-process the research data. According to the judgment affiliation degree and weight set, determine the single-factor evaluation matrix of evaluation indexes, calculate the weight value of evaluation indexes, and then complete the construction of a fuzzy comprehensive evaluation model oriented to the effect of big Civic and Political Science teaching and dynamic teaching and based on the data analysis software, carry out the comprehensive evaluation and analysis. The results show that the size of the weight value of the first-level indexes in order of magnitude, dynamic teaching process A2 (0.5478) > teaching preparation A1 (0.2353) > big Civics effect A3 (0.2169), indicating that the weight accounted for by the dynamic teaching and teaching preparation is relatively large and there is a not-so-small gap between the weight value of the big Civics effect A3, so the teaching of big Civics courses should focus on teaching preparation and dynamic teaching. This study can not only enrich the teacher’s Civics teaching method, but also improve the students’ Civics level, which has a promoting effect on promoting the development of the teaching of Big Civics courses in colleges and universities.

Research on the Integration of Civic and Political Elements and Student Engagement in University English Classes Driven by Artificial Intelligence Algorithms

Abstract The integration of civic and political elements into the English classroom is an innovative way to give full play to the role of college education in cultivating students’ worldview, outlook on life, and values, while student participation is an effective way to measure the quality of English civic and political courses. This paper incorporates artificial intelligence algorithms into the design of English Civics and Politics courses while examining student participation to foster the intelligent advancement of civics and politics reforms in college English classrooms. This paper combines artificial intelligence technology to construct a civics and politics teaching system for university English courses at various levels, catering to both teaching purposes and other learning objectives. It adopts critical technologies such as face detection, head posture detection, etc., and proposes a student participation evaluation model based on attention and fatigue state criteria. The civics and artificial intelligence elements were integrated into the “Comprehensive English” course to design the civics course of college English and carry out the teaching practice for one semester. The practice improved the student’s scores on the questionnaires in the areas of knowledge and skills, civic awareness, teamwork, and values by 84.64%, 104.74%, 58.92%, and 86.27%, respectively, compared to their pre-practice scores of 58.92% and 86.27%. The results of selecting students’ classroom videos and detecting their attention, fatigue state, and cognitive state show that students’ overall participation in the university English Civics classroom designed in this paper is high.

Exploring the Value, Risks and Its Path of Digital Transformation of Civics Teaching in Colleges and Universities

Abstract This paper uses deep learning algorithms to detect and extract student behavioral features in the Civics classroom. It first predicts and detects the target location and behavior of students in classroom images by FastR-CNN algorithm, extracts the detected student data features by MSResNet-50 algorithm, and then introduces the attention mechanism to screen the extracted behavioral features, and analyzes the accurate location information and channel information to get the student’s behavioral performance in the Civics classroom. The Civics element framework is used to construct a digital transformation path for Civics courses in this study. In order to reflect the value of the digital transformation of Civics teaching, the study conducted a teaching comparison practice. After a semester’s test, the Civics scores of the students in the five classes were above 80 (good or excellent). In contrast, the mean score of Civic Literacy in the post-test reached 3.863, which was significantly different from that before the practice (p=0.007<0.05). The value of “student-initiated speaking” behavior was higher than 45 in the practice class, and the student’s participation in the class was much higher than that in the control class. Analysis of the effect of teaching implementation found that the motivation score of students in class E increased from 3.511 to 4.957, with a significant difference (p=0.048<0.05). It was also found that the posttest score of “value concept” of students’ Civics literacy increased by 21.19%, and the score of “honesty and friendliness” also increased by 0.959 points. The massive amount of digital information generated by the implementation of the digital Civics teaching path in this paper may affect the student’s ability to think independently. However, the results achieved by the teaching path still provide reference ideas for the innovation of Civics teaching and reference data for the value and significance of the path’s implementation.

Exploring the Communication Path of Civic Education in Cyberspace Using Data Mining Technology

Abstract A recommendation algorithm is a specific application of data mining technology, which is an important means to expand the dissemination of Civics education in cyberspace. The elbow method is employed in this paper to determine the best number of clusters to cluster the Civics course evaluation dataset and finish preprocessing large-scale data. Aiming at the problem of different importance of rating bias between items, the traditional Slope One algorithm is optimized by comprehensively considering the relationship between the number of common ratings and the similarity between items and the prediction results. The optimized Slope One algorithm is used to perform one round of prediction and fill the scoring matrix to solve the data sparsity problem and improve prediction accuracy and stability. The optimized algorithm reduces by 8.56% compared to the user-based collaborative filtering algorithm, 5.83% compared to the item-based collaborative filtering algorithm, and 5.25% compared to the content-based recommendation algorithm, with a significant improvement in accuracy, recall, and F1 value. The four hypothesis validations indicate that the diversity, personalization, and accuracy of resource recommendations all have positive effects on the dissemination effect of civic education. The recommendation algorithm’s dissemination effect score in this paper is 3.781, which is significantly superior to the dissemination effect of Civic Education.

Information Flow and Optimization Model in Counselor-Student Interaction in Higher Education Civics

Abstract With the continuous development of the information society, the information flow model makes the counselor able to transfer some civic and political knowledge to the students more quickly, while the students can get the latest information more feverishly. This paper, recognizing the impact of information flow on civics education in colleges and universities, introduces an enhanced information flow model. It specifically builds an information flow and optimization model using network information technology and information analysis. The article employs an open Civics class at a university as an empirical research object, delving into the proposed information flow model to examine the real impact of Civics teaching on teacher-student interaction. The analysis of students’ learning of the six Civics objectives reveals an improvement in their overall literacy, as evidenced by the quantitative scores of the pre-test and post-test, which are 3.051 and 3.999, respectively, with a 0.948 difference in value pursuit. The analysis of classroom organizational differences reveals that the experimental group has a behavior management score of M = 5.62, while the control group has a score of M = 4.73. This indicates that the teachers of civics courses in the experimental group are capable of providing clear and forward-looking instruction in behavior management, ensuring that students’ behavior management is in place.