When it comes to the analysis on the research status and hot spots of science and education integration in colleges and universities, it is the requirement for the further development of science and education integration in colleges and universities. Through the use of CiteSpace 5.7.R5W, it carries out the analysis on the dynamic visual graph of 255 Chinese core documents retrieved from CNKI in the past 20 years, which mainly covers the annual distribution data of literature, the authors of literature, high-frequency keywords and so on. According to the research results, it embodies the research hot spots of science and education integration in colleges and universities, such as "integrated development", "innovative talents", "teaching and academic ability", "talent training mode" "integration of industry and education", "first-class undergraduate education" and so on. Based on this, it puts forward the suggestions for the future research, such as the necessity to promote the real and effective integration of science and education and realize the cultivation of first-class talents through the methods of the double integration of science and education, production and education, the establishment of teaching and research teams among different subjects, majors and fields, the establishment of a collaborative innovation platform for science and education integration and so on.
{"title":"CiteSpace-based Visual Analysis of Research Hotspots in Science and Education Integration of Colleges and Universities","authors":"Manying Huang","doi":"10.1145/3535735.3537768","DOIUrl":"https://doi.org/10.1145/3535735.3537768","url":null,"abstract":"When it comes to the analysis on the research status and hot spots of science and education integration in colleges and universities, it is the requirement for the further development of science and education integration in colleges and universities. Through the use of CiteSpace 5.7.R5W, it carries out the analysis on the dynamic visual graph of 255 Chinese core documents retrieved from CNKI in the past 20 years, which mainly covers the annual distribution data of literature, the authors of literature, high-frequency keywords and so on. According to the research results, it embodies the research hot spots of science and education integration in colleges and universities, such as \"integrated development\", \"innovative talents\", \"teaching and academic ability\", \"talent training mode\" \"integration of industry and education\", \"first-class undergraduate education\" and so on. Based on this, it puts forward the suggestions for the future research, such as the necessity to promote the real and effective integration of science and education and realize the cultivation of first-class talents through the methods of the double integration of science and education, production and education, the establishment of teaching and research teams among different subjects, majors and fields, the establishment of a collaborative innovation platform for science and education integration and so on.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121532633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mahmud, Shiau Foong Wong, Shiau San Wong, Othman Ismail, C. R. Ramachandiran
The global networked infrastructure, also known as the Internet of Things (IoT), has been embedded into various hardware and software to enable communication capabilities and serves as one of the significant influences that shape the education sector. IoT advances fundamental data visualization technologies as a game-changer for the coveted skills required for 21st century graduates. Despite the discernible pre-requisites to possess the skills, there is a knowledge and pedagogic gap where a large portion of the existing curriculum does not integrate the expected skills to successfully bridge students with the real-world and practical application. A non-experimental research design was employed in this study to examine the significance of data visualization literacy (DVL) for the students’ learning process. The overarching findings underscore the importance of visual learning as a preferred learning approach.
{"title":"Data Visualization Literacy: Multimodal skills in the Age of Internet of Things (IoT)","authors":"M. Mahmud, Shiau Foong Wong, Shiau San Wong, Othman Ismail, C. R. Ramachandiran","doi":"10.1145/3535735.3535743","DOIUrl":"https://doi.org/10.1145/3535735.3535743","url":null,"abstract":"The global networked infrastructure, also known as the Internet of Things (IoT), has been embedded into various hardware and software to enable communication capabilities and serves as one of the significant influences that shape the education sector. IoT advances fundamental data visualization technologies as a game-changer for the coveted skills required for 21st century graduates. Despite the discernible pre-requisites to possess the skills, there is a knowledge and pedagogic gap where a large portion of the existing curriculum does not integrate the expected skills to successfully bridge students with the real-world and practical application. A non-experimental research design was employed in this study to examine the significance of data visualization literacy (DVL) for the students’ learning process. The overarching findings underscore the importance of visual learning as a preferred learning approach.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133276018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-quality course teaching is the goal pursued by modern universities. The traditional course evaluation system has the characteristics of multiple indexes and fuzzy boundaries between indexes, which has defects such as redundancy and even invalid indexes. In order to improve the evaluation efficiency and enhance the user experience of the evaluation subject, this paper proposed a course evaluation index selection method based on decision tree. The course evaluation data of a university was selected as the research data, including10 indexes and 632 courses with a total of 138,635 records. After the preprocessing operations of summarizing and averaging on the research data, the discrete data was obtained by K-means clustering algorithm, and the corresponding classification label was obtained for each course. Then, a classification model was constructed based on decision tree algorithm C4.5. Two of the 10 indexes are filtered by the decision tree. The experimental results showed that the accuracy of our model reached 90.5%. Therefore, the method proposed could effectively improve the reliability of the course evaluation system.
{"title":"Research on Course Evaluation Index Selection Based on Decision Tree Algorithm","authors":"Jianxiang Wei, Ziteng Wang, Jimin Dai, Ziren Wang","doi":"10.1145/3535735.3535739","DOIUrl":"https://doi.org/10.1145/3535735.3535739","url":null,"abstract":"High-quality course teaching is the goal pursued by modern universities. The traditional course evaluation system has the characteristics of multiple indexes and fuzzy boundaries between indexes, which has defects such as redundancy and even invalid indexes. In order to improve the evaluation efficiency and enhance the user experience of the evaluation subject, this paper proposed a course evaluation index selection method based on decision tree. The course evaluation data of a university was selected as the research data, including10 indexes and 632 courses with a total of 138,635 records. After the preprocessing operations of summarizing and averaging on the research data, the discrete data was obtained by K-means clustering algorithm, and the corresponding classification label was obtained for each course. Then, a classification model was constructed based on decision tree algorithm C4.5. Two of the 10 indexes are filtered by the decision tree. The experimental results showed that the accuracy of our model reached 90.5%. Therefore, the method proposed could effectively improve the reliability of the course evaluation system.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128345199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. M. M. Prado, Sandy Liliana Quishpillo Pilco, Wellington Saud Espin Parrales
Mentoring and student support are a fundamental part of any university. It is even mandatory for every institution to have a department dedicated to creating and maintaining active communication with students to understand their needs and problems. Several studies have shown how mentoring positively affects students' lives ranging from emotional and psychological to academic performance. According to previous work, mentoring can help detect mental problems early, such as anxiety and stress, that can trigger more severe problems. This paper seeks to analyze these aspects and the effects of the pandemic on students based on a review of previous research. Additionally, a general survey was applied to 40 students of Economics at ESPOL. The data showed that students say they feel vulnerable to psychological problems. During the covid-19 pandemic, they have increased levels of stress and anxiety due to confinement and health problems, all of which have led to low levels of academic performance and even student performance dropout. This work will help provide an overview of how mentoring can contribute to the socio-emotional development of university students.
{"title":"The effects of mentoring and university accompaniment during the covid-19.","authors":"S. M. M. Prado, Sandy Liliana Quishpillo Pilco, Wellington Saud Espin Parrales","doi":"10.1145/3535735.3535747","DOIUrl":"https://doi.org/10.1145/3535735.3535747","url":null,"abstract":"Mentoring and student support are a fundamental part of any university. It is even mandatory for every institution to have a department dedicated to creating and maintaining active communication with students to understand their needs and problems. Several studies have shown how mentoring positively affects students' lives ranging from emotional and psychological to academic performance. According to previous work, mentoring can help detect mental problems early, such as anxiety and stress, that can trigger more severe problems. This paper seeks to analyze these aspects and the effects of the pandemic on students based on a review of previous research. Additionally, a general survey was applied to 40 students of Economics at ESPOL. The data showed that students say they feel vulnerable to psychological problems. During the covid-19 pandemic, they have increased levels of stress and anxiety due to confinement and health problems, all of which have led to low levels of academic performance and even student performance dropout. This work will help provide an overview of how mentoring can contribute to the socio-emotional development of university students.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122316288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At present, all kinds of innovative applications of artificial intelligence, big data and other technologies in various industries and fields make the demands for the cultivation of innovative ability of IT talents more urgent. Aiming at the problem of insufficient cultivation of students' innovative ability in the existing blended teaching mode, this paper puts forward a theoretical teaching method based on four-stage and problem-oriented in the offline class, and a practical teaching method based on "entrepreneurial thinking". In the former teaching method, by dividing the explanation of a concrete theoretical knowledge into four stages: "concept", "problem", "application" and "innovation", and at the same time, designing some progressive problems in each stage to guide students to deepen their knowledge understanding and inspire their innovative thinking around the application and innovation of knowledge, and an example has been given to well illustrate the method. Meanwhile, in the latter teaching method, this paper also presents a practical teaching method based on "entrepreneurial thinking" to optimize the practical teaching links of the courses in IT major, in which the project-based teaching method and entrepreneurial thinking are adopted , and the practical process is divided into several stages as "demand analysis and topic selection", "scheme design", "scheme implementation" and "application and promotion", At each stage, some concrete guiding measures and examination and evaluation methods have been designed to effectively stimulate students' innovative thinking and innovative ability specific. Through the application of the above methods to the teaching practices in the "computer network" course, it is proved that this method plays a promoting role in the development of students' innovation and practical abilities.
{"title":"Offline Teaching Method in Blended Teaching mode of Improving the Innovation Ability of Students in IT Majors","authors":"Min Huang, Hua Yuan, Bo Sun","doi":"10.1145/3535735.3535740","DOIUrl":"https://doi.org/10.1145/3535735.3535740","url":null,"abstract":"At present, all kinds of innovative applications of artificial intelligence, big data and other technologies in various industries and fields make the demands for the cultivation of innovative ability of IT talents more urgent. Aiming at the problem of insufficient cultivation of students' innovative ability in the existing blended teaching mode, this paper puts forward a theoretical teaching method based on four-stage and problem-oriented in the offline class, and a practical teaching method based on \"entrepreneurial thinking\". In the former teaching method, by dividing the explanation of a concrete theoretical knowledge into four stages: \"concept\", \"problem\", \"application\" and \"innovation\", and at the same time, designing some progressive problems in each stage to guide students to deepen their knowledge understanding and inspire their innovative thinking around the application and innovation of knowledge, and an example has been given to well illustrate the method. Meanwhile, in the latter teaching method, this paper also presents a practical teaching method based on \"entrepreneurial thinking\" to optimize the practical teaching links of the courses in IT major, in which the project-based teaching method and entrepreneurial thinking are adopted , and the practical process is divided into several stages as \"demand analysis and topic selection\", \"scheme design\", \"scheme implementation\" and \"application and promotion\", At each stage, some concrete guiding measures and examination and evaluation methods have been designed to effectively stimulate students' innovative thinking and innovative ability specific. Through the application of the above methods to the teaching practices in the \"computer network\" course, it is proved that this method plays a promoting role in the development of students' innovation and practical abilities.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132475257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juliana Arevalo Herrera, Jorge Eliécer Camargo Mendoza, J. I. M. Torre
Security is a concern for traditional networks and those based on new technology such as Software Defined Networks (SDN) and Internet of Things (IoT). Machine learning techniques are typical to automatically identify and classify attacks in the form of intrusion detection systems. This paper presents machine learning algorithms for attack classification over the CES CIC IDS2018 dataset. The analysis includes an evaluation of the performance of traditional Machine Learning (ML) techniques such as Decision Trees (DT), Random Forest (RF), and a Neural Network architecture in two different samples of the dataset: one with the all the features and another with selected features for SDN. The details of the dataset, as well as the used methodology and evaluation results, are presented in this paper. After a comparison between the different ML algorithms, the conclusion is that DT and RF are both highly accurate for classification (97% for all the features and 87% for the SDN features) and also require less processing.
{"title":"Network anomaly detection with machine learning techniques for SDN networks","authors":"Juliana Arevalo Herrera, Jorge Eliécer Camargo Mendoza, J. I. M. Torre","doi":"10.1145/3535735.3535750","DOIUrl":"https://doi.org/10.1145/3535735.3535750","url":null,"abstract":"Security is a concern for traditional networks and those based on new technology such as Software Defined Networks (SDN) and Internet of Things (IoT). Machine learning techniques are typical to automatically identify and classify attacks in the form of intrusion detection systems. This paper presents machine learning algorithms for attack classification over the CES CIC IDS2018 dataset. The analysis includes an evaluation of the performance of traditional Machine Learning (ML) techniques such as Decision Trees (DT), Random Forest (RF), and a Neural Network architecture in two different samples of the dataset: one with the all the features and another with selected features for SDN. The details of the dataset, as well as the used methodology and evaluation results, are presented in this paper. After a comparison between the different ML algorithms, the conclusion is that DT and RF are both highly accurate for classification (97% for all the features and 87% for the SDN features) and also require less processing.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133374155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development and implementation of Internet of Things (IoT) based technologies, we recognize significant improvements in many aspects of life, and education is no exception. To come up with a social distancing strategy in teaching and learning and to enrich the students’ learning experience while meeting the challenge of the pandemic, this study aims to examine the effectiveness of virtual station rotation model deployed in Blackboard in learning double integral (one of the topics in Calculus). The findings indicate that the students were able to achieve equally well results through virtual station rotation model deployed with breakout groups feature in Blackboard as compared to students who learned the same context in an asynchronous class with noninteractive recorded video lectures. It is evident that virtual station rotation model benefits both teacher and students in their learning process.
{"title":"Blackboard and Virtual Station Rotation Model: Effectiveness of Learning Calculus","authors":"Shiau Foong Wong, M. Mahmud, Shiau San Wong","doi":"10.1145/3535735.3535741","DOIUrl":"https://doi.org/10.1145/3535735.3535741","url":null,"abstract":"With the rapid development and implementation of Internet of Things (IoT) based technologies, we recognize significant improvements in many aspects of life, and education is no exception. To come up with a social distancing strategy in teaching and learning and to enrich the students’ learning experience while meeting the challenge of the pandemic, this study aims to examine the effectiveness of virtual station rotation model deployed in Blackboard in learning double integral (one of the topics in Calculus). The findings indicate that the students were able to achieve equally well results through virtual station rotation model deployed with breakout groups feature in Blackboard as compared to students who learned the same context in an asynchronous class with noninteractive recorded video lectures. It is evident that virtual station rotation model benefits both teacher and students in their learning process.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the advent of the information age, the rapid development of new-generation information technologies such as cloud computing and cloud storage has also led to changes in the education field, especially the massive open online courses (MOOC). At the same time, the society ‘s demand for talents with computer technology is increasing. The undergraduate education in the field of computer science has gradually become the focus of undergraduate education in the information age. However, even if MOOC is used as a supplement to offline education, the learning effect varies from person to person due to the differences in students ‘ learning methods and abilities. An improved MOOC model based on sequential recommendation algorithm and big data proposed in this study can provide an optimization idea for such problems. In the model testing session, this study randomly selected some undergraduates in 2020 grade majoring in computer science at the University of Electronic Science and Technology of China for comparative experiments, proving that the MOOC improvement program based on sequential recommendation algorithms and big data can effectively improve students ‘ academic performance and contribute to the promotion of educational equity.
{"title":"Research on Improvement Scheme of MOOC Based on Sequential Recommendation Algorithm and Big Data","authors":"Z. Le, Weixin Ren, Zhang Yue","doi":"10.1145/3535735.3535737","DOIUrl":"https://doi.org/10.1145/3535735.3535737","url":null,"abstract":"With the advent of the information age, the rapid development of new-generation information technologies such as cloud computing and cloud storage has also led to changes in the education field, especially the massive open online courses (MOOC). At the same time, the society ‘s demand for talents with computer technology is increasing. The undergraduate education in the field of computer science has gradually become the focus of undergraduate education in the information age. However, even if MOOC is used as a supplement to offline education, the learning effect varies from person to person due to the differences in students ‘ learning methods and abilities. An improved MOOC model based on sequential recommendation algorithm and big data proposed in this study can provide an optimization idea for such problems. In the model testing session, this study randomly selected some undergraduates in 2020 grade majoring in computer science at the University of Electronic Science and Technology of China for comparative experiments, proving that the MOOC improvement program based on sequential recommendation algorithms and big data can effectively improve students ‘ academic performance and contribute to the promotion of educational equity.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130316562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. I. Alcivar, Anthony Jair Pincay Lino, Gema Nicole Toapanta Cedeno, Elizabeth Stefania Elizalde Rios, Diego Alejandro Carrera Gallego
In 2020 COVID-19 imposed forced academic virtuality. This phenomenon offered Education 4.0 an application opportunity for its existing technological tools and their main trends of innovation and change, increasing continuity in vital teaching-learning processes. This matter introduced the need to establish a model to evaluate the usability of supporting technological tools with active learning strategies, including children's educational digital games (EDG). The article presents a methodological model in a case study evaluating EDG's academic experiences in virtual teaching. It also justifies a pilot plan supporting Education 4.0 with gamification and how it strengthens early childhood education in public schools targeting marginal sectors in a densely populated Ecuadorian city. This context evaluates the Utility and Usability factors of a selected EDG series (MIDI-AM) as complementary tools used in the teaching-learning processes of children ages 4 to 7. A mixed qualitative-quantitative method was applied, including exhaustive literature reviews, data collection strategies, and analysis through focus groups and online surveys. The resulting evaluation identified possible improvements in gamification and the production of additional EDG. The study initiated six hypotheses and validated the proposed research model as a tool for evaluating EDG in future academic periods as reinforcement of curricular content fostering more dynamic and active learning.
{"title":"Educational Digital Games Evaluation as a Teaching Support Tool in Academic Virtuality","authors":"N. I. Alcivar, Anthony Jair Pincay Lino, Gema Nicole Toapanta Cedeno, Elizabeth Stefania Elizalde Rios, Diego Alejandro Carrera Gallego","doi":"10.1145/3535735.3535736","DOIUrl":"https://doi.org/10.1145/3535735.3535736","url":null,"abstract":"In 2020 COVID-19 imposed forced academic virtuality. This phenomenon offered Education 4.0 an application opportunity for its existing technological tools and their main trends of innovation and change, increasing continuity in vital teaching-learning processes. This matter introduced the need to establish a model to evaluate the usability of supporting technological tools with active learning strategies, including children's educational digital games (EDG). The article presents a methodological model in a case study evaluating EDG's academic experiences in virtual teaching. It also justifies a pilot plan supporting Education 4.0 with gamification and how it strengthens early childhood education in public schools targeting marginal sectors in a densely populated Ecuadorian city. This context evaluates the Utility and Usability factors of a selected EDG series (MIDI-AM) as complementary tools used in the teaching-learning processes of children ages 4 to 7. A mixed qualitative-quantitative method was applied, including exhaustive literature reviews, data collection strategies, and analysis through focus groups and online surveys. The resulting evaluation identified possible improvements in gamification and the production of additional EDG. The study initiated six hypotheses and validated the proposed research model as a tool for evaluating EDG in future academic periods as reinforcement of curricular content fostering more dynamic and active learning.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130853901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jun Leng, Lingjie Li, Xia Luo, Siman Wang, Qianli Zheng
There are many researches on the employment of college students in China, but there are few reports on the research of visual atlas. In this paper, CiteSpace software is used to study 952 CSSCI literatures on the employment of college students in the past 23 years. The results show that the number of articles published in this research field shows an overall high running but gradually weakening trend in recent years. The number of high-producing authors is small, the mutual cooperation is not tight enough, and the central authorship needs to be further enhanced. The research hotspots are focused on employability, employment quality, higher education, employment guidance and social capital. The keyword mutation has gone through three stages of change, including external environment, influencing traits and internal factors.
{"title":"Visual Analysis Application of CiteSpace-based Study of Employment of College Students in the Past Twenty-three Years","authors":"Jun Leng, Lingjie Li, Xia Luo, Siman Wang, Qianli Zheng","doi":"10.1145/3535735.3537769","DOIUrl":"https://doi.org/10.1145/3535735.3537769","url":null,"abstract":"There are many researches on the employment of college students in China, but there are few reports on the research of visual atlas. In this paper, CiteSpace software is used to study 952 CSSCI literatures on the employment of college students in the past 23 years. The results show that the number of articles published in this research field shows an overall high running but gradually weakening trend in recent years. The number of high-producing authors is small, the mutual cooperation is not tight enough, and the central authorship needs to be further enhanced. The research hotspots are focused on employability, employment quality, higher education, employment guidance and social capital. The keyword mutation has gone through three stages of change, including external environment, influencing traits and internal factors.","PeriodicalId":435343,"journal":{"name":"Proceedings of the 7th International Conference on Information and Education Innovations","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131511812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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