In recent years, the development of e-commerce has become more diversified, especially the development of cross-border e-commerce and rural e-commerce is particularly prominent. However, the talent training of e-commerce has not kept pace with the development of e-commerce. Therefore, it is necessary to sort out the development, research hotspots and development frontiers in e-commence talent training in China as a whole, so as to provide reference for policy makers to formulate policies and programs for e-commence talent training. By using the method of scientific knowledge mapping and CiteSpace software, this paper makes a visual analysis of 498 research articles on "e-commerce" and "talent training" in CNKI database. The results show that the number of research articles is growing rapidly and continuously, the published journals were concentrated in vocational education and economic journals, and the main research forces included Suzhou Institute of Trade & Commerce and other vocational schools. From the research focus, the keywords are e -commerce talent training, vocational education, cross-border e-commerce, rural e-commerce, Internet + and so on. In terms of research evolution, 1999-2004 is the preliminary development stage, 2005-2014 is the rising development stage, and 2015 to now is the vigorous development stage. In terms of research trend, due to the development of e-commerce and policy guidance, rural e-commerce and cross-border e-commerce have been fully developed, which has great research potential and value in recent years.
{"title":"Visual Analysis of Chinese E-commerce Talent Training Research Based on CiteSpace","authors":"Lirong Dong, Jiandong Zhao, Peng Huang, Xiongna Deng, Tingting Lv","doi":"10.1145/3498765.3498809","DOIUrl":"https://doi.org/10.1145/3498765.3498809","url":null,"abstract":"In recent years, the development of e-commerce has become more diversified, especially the development of cross-border e-commerce and rural e-commerce is particularly prominent. However, the talent training of e-commerce has not kept pace with the development of e-commerce. Therefore, it is necessary to sort out the development, research hotspots and development frontiers in e-commence talent training in China as a whole, so as to provide reference for policy makers to formulate policies and programs for e-commence talent training. By using the method of scientific knowledge mapping and CiteSpace software, this paper makes a visual analysis of 498 research articles on \"e-commerce\" and \"talent training\" in CNKI database. The results show that the number of research articles is growing rapidly and continuously, the published journals were concentrated in vocational education and economic journals, and the main research forces included Suzhou Institute of Trade & Commerce and other vocational schools. From the research focus, the keywords are e -commerce talent training, vocational education, cross-border e-commerce, rural e-commerce, Internet + and so on. In terms of research evolution, 1999-2004 is the preliminary development stage, 2005-2014 is the rising development stage, and 2015 to now is the vigorous development stage. In terms of research trend, due to the development of e-commerce and policy guidance, rural e-commerce and cross-border e-commerce have been fully developed, which has great research potential and value in recent years.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121921020","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}
Addressing the needs of advancing cultural education in China, this study presents a framework to integrate positive psychology education into C-STEAM education. We call the model P-CAR to emphasize a positive cognition-action-reflection procedure to cultivate subjective well-being during cultural learning. We conducted a pilot study and then a formal study to test the feasibility of the framework with technology-enhanced instruction and cultural creation activities. We found significant improvement for students’ subjective well-being, conceptual understanding, in-class performance, and program attitude. Hence, positive psychology seems to help promote more effective moral, virtue and cultural education. This paper paves the way for future “fusion” research and helps provide more data and discussion on positive psychology education, especially regarding its application in China. But more study would be needed to establish greater reliability, validity, and generalizability for this research direction.
{"title":"Designing a C-STEAM Course for Enhancing Children's Positive Psychological Characters and Learning Performance: A Two-Stage Experiment: This study examines the effects of positive psychology education in cultural learning","authors":"Xiaokang Guan, Zehui Zhan","doi":"10.1145/3498765.3498812","DOIUrl":"https://doi.org/10.1145/3498765.3498812","url":null,"abstract":"Addressing the needs of advancing cultural education in China, this study presents a framework to integrate positive psychology education into C-STEAM education. We call the model P-CAR to emphasize a positive cognition-action-reflection procedure to cultivate subjective well-being during cultural learning. We conducted a pilot study and then a formal study to test the feasibility of the framework with technology-enhanced instruction and cultural creation activities. We found significant improvement for students’ subjective well-being, conceptual understanding, in-class performance, and program attitude. Hence, positive psychology seems to help promote more effective moral, virtue and cultural education. This paper paves the way for future “fusion” research and helps provide more data and discussion on positive psychology education, especially regarding its application in China. But more study would be needed to establish greater reliability, validity, and generalizability for this research direction.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128180273","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}
Jefferson A. Costales, Janice A. Abellana, J. S. Gracia, M. Devaraj
In this era of openness, educational achievement is a top priority for students at all levels; however, what worked in the past to promote accountability in face-to-face settings does not necessarily work in online environments. The need to define and incorporate best evaluation practices in online learning environments is growing as a result of the proliferation of online learning environments and the resulting continued demand for answerability. Assessment is a structured method of documenting learning by concrete data. It is used to improve all facets of student learning by assessing comprehension, skills, dispositions, and beliefs learned from instructional sequences.
{"title":"A Learning Assessment Applying Pomodoro Technique as A Productivity Tool for Online Learning","authors":"Jefferson A. Costales, Janice A. Abellana, J. S. Gracia, M. Devaraj","doi":"10.1145/3498765.3498844","DOIUrl":"https://doi.org/10.1145/3498765.3498844","url":null,"abstract":"In this era of openness, educational achievement is a top priority for students at all levels; however, what worked in the past to promote accountability in face-to-face settings does not necessarily work in online environments. The need to define and incorporate best evaluation practices in online learning environments is growing as a result of the proliferation of online learning environments and the resulting continued demand for answerability. Assessment is a structured method of documenting learning by concrete data. It is used to improve all facets of student learning by assessing comprehension, skills, dispositions, and beliefs learned from instructional sequences.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860661","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}
Analyzing and diagnosing the classroom teaching structure is the fundamental way to improve the quality of education and teaching. However, traditional analysis methods have limitations such as over-reliance on experts, low analysis efficiency, and difficulty in scale. The purpose of this study is to use artificial intelligence technology to improve the efficiency of classroom teaching diagnosis. Based on the TESTII (Teaching Events, SPS, Time coding, Interpretation, Improvement) framework, using such as speech recognition, natural language understanding, combined with artificial labeling and proofreading, identifying teaching events, dividing teaching stages, and exploring whole-class teaching methods The order of the structure. The study found that text extraction can greatly improve the analysis efficiency of the teaching event coding method, and the analysis results can directly serve as a reference for ST coding and ITIAS coding; the Sequencing of Pedagogical Structure matches the role tags of teachers and students, which is a necessary supplement to SPS and aso forms a classroom The premise of the results of teaching analysis; This study conducted a small sample analysis of 12 course examples, and the results were very similar to the award distribution results evaluated by human experts.
对课堂教学结构进行分析与诊断是提高教育教学质量的根本途径。然而，传统的分析方法存在着过分依赖专家、分析效率低、难以规模化等局限性。本研究的目的是利用人工智能技术提高课堂教学诊断的效率。基于TESTII (Teaching Events, SPS, Time coding, Interpretation, Improvement)框架，运用语音识别、自然语言理解等方法，结合人工标注和校对，识别教学事件，划分教学阶段，探索课堂教学方法的顺序结构。研究发现，文本提取可以大大提高教学事件编码方法的分析效率，分析结果可以直接作为ST编码和ITIAS编码的参考;教学结构的排序匹配了教师和学生的角色标签，是对SPS的必要补充，也构成了课堂教学分析结果的前提;本研究对12个课程实例进行了小样本分析，结果与人类专家评估的奖项分配结果非常相似。
{"title":"Intelligent Diagnosis of Classroom Teaching Structure under TESTII Framework","authors":"Feiyun Xu, Zhong Sun","doi":"10.1145/3498765.3498772","DOIUrl":"https://doi.org/10.1145/3498765.3498772","url":null,"abstract":"Analyzing and diagnosing the classroom teaching structure is the fundamental way to improve the quality of education and teaching. However, traditional analysis methods have limitations such as over-reliance on experts, low analysis efficiency, and difficulty in scale. The purpose of this study is to use artificial intelligence technology to improve the efficiency of classroom teaching diagnosis. Based on the TESTII (Teaching Events, SPS, Time coding, Interpretation, Improvement) framework, using such as speech recognition, natural language understanding, combined with artificial labeling and proofreading, identifying teaching events, dividing teaching stages, and exploring whole-class teaching methods The order of the structure. The study found that text extraction can greatly improve the analysis efficiency of the teaching event coding method, and the analysis results can directly serve as a reference for ST coding and ITIAS coding; the Sequencing of Pedagogical Structure matches the role tags of teachers and students, which is a necessary supplement to SPS and aso forms a classroom The premise of the results of teaching analysis; This study conducted a small sample analysis of 12 course examples, and the results were very similar to the award distribution results evaluated by human experts.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124803253","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 advancement of education informatization in China, online education has begun to take shape, and the research on online education is increasing year by year. Instructional design is an important part of teaching in online education. In order to adapt to the new form of online education, researchers began to study instructional design of online education. Therefore, Citespace software is used to review the literature related to online education teaching design in WoS database and CNKI. The research popularity in this field can be shown through the publication time distribution of literature, and the domestic research situation and the influence of various countries can be shown through the country and institution distribution of literature. Keywords co-occurrence analysis can show the hot research content in this field. After comparing the analysis of Chinese and foreign literature, this paper discusses the development of online education instructional design, and discusses the hot spots and frontiers in this field in the future.
{"title":"Bibliometric Analysis of Instructional Design in Online Education Based on Citespace","authors":"Zijie Li, Jun Wang, Shuang Shi","doi":"10.1145/3498765.3498808","DOIUrl":"https://doi.org/10.1145/3498765.3498808","url":null,"abstract":"With the advancement of education informatization in China, online education has begun to take shape, and the research on online education is increasing year by year. Instructional design is an important part of teaching in online education. In order to adapt to the new form of online education, researchers began to study instructional design of online education. Therefore, Citespace software is used to review the literature related to online education teaching design in WoS database and CNKI. The research popularity in this field can be shown through the publication time distribution of literature, and the domestic research situation and the influence of various countries can be shown through the country and institution distribution of literature. Keywords co-occurrence analysis can show the hot research content in this field. After comparing the analysis of Chinese and foreign literature, this paper discusses the development of online education instructional design, and discusses the hot spots and frontiers in this field in the future.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"167 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975885","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}
This study investigated the impact of using the Desimone framework features as TPD core features to analyse Peer Instruction (PI) and Think Pair Share (TPS) Students Centered teaching strategies training on the MOOC platform for teachers. Data were collected quantitatively and qualitatively from 163 teachers enrolled on training in MOOC for TPD. The features used for analytics were extracted from pre-survey data, discussion forum responses, MOOC report analytics, and face to face class work snapshots. The study results revealed that based on TPD core features from Desimone, the MOOC platform for TPD training encouraged teachers to collaborate and communicate with one another on different strategies and challenges encountered in their face to face classroom. There were also advances in teachers’ face-to-face interaction with students on using Students Centered teaching strategies in their classroom from the analysis of classwork snapshots on the MOOC platform. Despite the challenges of using MOOCs for TPD for some of the teachers, it is observed that implementing TPD based on core features from Desimone increases teachers’ knowledge and skills and improves their students’ learning.
{"title":"MOOC Analytics on Teachers’ Students Centered Teaching Strategies Training: A Study Based on TPD Core Features","authors":"Carina Titus Swai, Qingtang Liu, Linjing Wu","doi":"10.1145/3498765.3498792","DOIUrl":"https://doi.org/10.1145/3498765.3498792","url":null,"abstract":"This study investigated the impact of using the Desimone framework features as TPD core features to analyse Peer Instruction (PI) and Think Pair Share (TPS) Students Centered teaching strategies training on the MOOC platform for teachers. Data were collected quantitatively and qualitatively from 163 teachers enrolled on training in MOOC for TPD. The features used for analytics were extracted from pre-survey data, discussion forum responses, MOOC report analytics, and face to face class work snapshots. The study results revealed that based on TPD core features from Desimone, the MOOC platform for TPD training encouraged teachers to collaborate and communicate with one another on different strategies and challenges encountered in their face to face classroom. There were also advances in teachers’ face-to-face interaction with students on using Students Centered teaching strategies in their classroom from the analysis of classwork snapshots on the MOOC platform. Despite the challenges of using MOOCs for TPD for some of the teachers, it is observed that implementing TPD based on core features from Desimone increases teachers’ knowledge and skills and improves their students’ learning.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121669473","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}
G. Jiao, Lang Li, H. Deng, Guangyong Zheng, Yi Zou, Junxia Zhao
In order to solve the problems in the training of big data talents in colleges and universities, such as unclear training objectives, not close combination of practical teaching and industrial enterprises, and low training quality, this paper proposes a training mode of innovative computer talents oriented to the application of big data. The mode to train applied talents as the goal, USES the OBE's education idea, through the revision of the talent training scheme, optimizing curriculum system, reforming teaching methods, practical teaching system construction, improve teachers' skills, reform the assessment content and ways to improve the quality of talent training, meet the social demand for big data and technical personnel.
{"title":"Thinking on the Cultivation of Innovative Talents in Computer Majors Facing Big Data Applications","authors":"G. Jiao, Lang Li, H. Deng, Guangyong Zheng, Yi Zou, Junxia Zhao","doi":"10.1145/3498765.3498810","DOIUrl":"https://doi.org/10.1145/3498765.3498810","url":null,"abstract":"In order to solve the problems in the training of big data talents in colleges and universities, such as unclear training objectives, not close combination of practical teaching and industrial enterprises, and low training quality, this paper proposes a training mode of innovative computer talents oriented to the application of big data. The mode to train applied talents as the goal, USES the OBE's education idea, through the revision of the talent training scheme, optimizing curriculum system, reforming teaching methods, practical teaching system construction, improve teachers' skills, reform the assessment content and ways to improve the quality of talent training, meet the social demand for big data and technical personnel.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127608023","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}
Brock Floyd, Jared Jackson, E. Probst, Hong Liu, Nischal Mishra, Chen Zhong
Cybersecurity competitions have been recognized as an effective approach to engaging students with real-world challenges. This work aims to explore the cybersecurity competition contestants’ interests and opinions by collecting and analyzing Reddit data. Reddit is a leading hub for students and professionals to exchange information and share experience. We identified a list of keywords of interest and gathered over three thousand relevant public posts. Both qualitative and quantitative data analysis methods are employed to gain insight into learners’ interests and opinions from the data. Our results of analyzing Reddit posts provide a complementary understanding of learners’ interests and opinions compared with the existing survey studies of cybersecurity competitions. The frequency analysis results show that the popular topics include training tools, career advice, penetration testing, CTF, and certifications. Although survey studies are more targeted, our analysis of Reddit posts provides a more complete picture of how learners’ sentiment is impacted by competitions. In the end, our analysis results enable us to discuss several practical implications of the findings and directions of future work.
{"title":"Understanding Learners’ Interests in Cybersecurity Competitions on Reddit","authors":"Brock Floyd, Jared Jackson, E. Probst, Hong Liu, Nischal Mishra, Chen Zhong","doi":"10.1145/3498765.3498835","DOIUrl":"https://doi.org/10.1145/3498765.3498835","url":null,"abstract":"Cybersecurity competitions have been recognized as an effective approach to engaging students with real-world challenges. This work aims to explore the cybersecurity competition contestants’ interests and opinions by collecting and analyzing Reddit data. Reddit is a leading hub for students and professionals to exchange information and share experience. We identified a list of keywords of interest and gathered over three thousand relevant public posts. Both qualitative and quantitative data analysis methods are employed to gain insight into learners’ interests and opinions from the data. Our results of analyzing Reddit posts provide a complementary understanding of learners’ interests and opinions compared with the existing survey studies of cybersecurity competitions. The frequency analysis results show that the popular topics include training tools, career advice, penetration testing, CTF, and certifications. Although survey studies are more targeted, our analysis of Reddit posts provides a more complete picture of how learners’ sentiment is impacted by competitions. In the end, our analysis results enable us to discuss several practical implications of the findings and directions of future work.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128604486","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}
Jiamin Huang, Zhao Zhang, Jian-jua Qiu, Li Peng, Dongmei Liu, Peng Han, Kaiqing Luo
Asking questions is usually used by teachers to guide students to think and to interact with students. Bloom's Taxonomy has been used widely in the educational field to assess students’ intellectual abilities and skills. However, most questions lack a scientific basis and design; too many low-level questions constrain students’ thought. Some works classify these questions manually, which is inefficient. To improve the efficiency and provide implications for teachers to design curriculums, this study utilized machine learning to automatically classify teachers’ questions by building up keywords and extracting TF-IDF (Term frequency inverse document frequency) features. The result showed that keywords are significant in classifying questions, and we obtained an accuracy of 86.0%.
提问通常是教师引导学生思考和与学生互动的方式。布鲁姆分类法被广泛应用于教育领域，用来评估学生的智力和技能。然而，大多数问题缺乏科学依据和设计;太多的低级问题束缚了学生的思维。有些作品手动对这些问题进行分类，效率很低。为了提高效率并为教师的课程设计提供参考，本研究利用机器学习技术，通过建立关键词和提取TF-IDF (Term frequency inverse document frequency)特征，对教师的问题进行自动分类。结果表明，关键词在问题分类中有显著的作用，我们获得了86.0%的准确率。
{"title":"Automatic Classroom Question Classification Based on Bloom's Taxonomy","authors":"Jiamin Huang, Zhao Zhang, Jian-jua Qiu, Li Peng, Dongmei Liu, Peng Han, Kaiqing Luo","doi":"10.1145/3498765.3498771","DOIUrl":"https://doi.org/10.1145/3498765.3498771","url":null,"abstract":"Asking questions is usually used by teachers to guide students to think and to interact with students. Bloom's Taxonomy has been used widely in the educational field to assess students’ intellectual abilities and skills. However, most questions lack a scientific basis and design; too many low-level questions constrain students’ thought. Some works classify these questions manually, which is inefficient. To improve the efficiency and provide implications for teachers to design curriculums, this study utilized machine learning to automatically classify teachers’ questions by building up keywords and extracting TF-IDF (Term frequency inverse document frequency) features. The result showed that keywords are significant in classifying questions, and we obtained an accuracy of 86.0%.","PeriodicalId":273698,"journal":{"name":"Proceedings of the 13th International Conference on Education Technology and Computers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114744432","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：