China ’ s MOOC Research Hotspot Based on the Visual Co-Word Network Map : 1994-2018

In this paper, based on CSSCI and SCI databases’ published papers during 1994-2018 from the data source, we use co-word analysis and social network analysis to build the China’s MOOC research visualization network map to describe the dynamic of the field, and suggest forecast for the future MOOC research. We found out that China’s MOOC research focusing on MOOC development countermeasure research, MOOC educational information, classroom teaching and MOOC hybrid teaching, MOOC and open education resources, MOOC application research of the library in colleges. The future research focuses on the study of the humanistic value of MOOC education and the research on the hybrid teaching mode of classroom teaching and online teaching.


Introduction
In 2014, China's Ministry Of Education positively developed the online education strategy, design the future top-level development system of online education, China University MOOC officially opened, online education like MOOC platform is expected to become the technical carrier to realized overtaking around the corner.Over the past 4 years, the study of MOOC in China has undergone a major transformation, we urgently need to know the current hot topic in the study of Chinese's MOOC and future trends, based on this, use co-word analysis, social network analysis to build the China's MOOC research visualization network map appear to be particularly important.So, we hope to provide data basis for researchers to grasp the latest research trends of MOOC.

Q. Li
network analysis software Ucinet6 proceed to a series of analysis include centrality analysis, clustering analysis and subgroup analysis, finally we draw the visualization network knowledge mapping by Net draw software, details of design are shown in Figure 1.As shown in Figure 2, from 2014 to 2015, the research on MOOC began to proliferate.In 2015, a total of 191 articles accounted for 31% in the total number, which reaching a historical peak.Since 2016, it has entered the deepening stage of research on MOOC.Scholars have been thinking about MOOC from hot to cold.From the perspective of the publication trend, it can be seen that in 2018, the quality of MOOC is estimated to be around 200, indicating that academic groups in this field are still promoting the production and growth of relevant knowledge in MOOC.

2) Group Distribution of Researchers
Publication is the important carrier for academic and professional community to integrate theory and complete scientific academic accumulation work, moreover published scientific articles is also the important carrier for academic community to dialogue and knowledge coding, the metering scholars Alfred Lotka points out that the number of published scientific articles is one of the important measure of the knowledge production in scientific productivity, according to the author's study that the relationship between the number of papers and the authors is inverse square, formula is as follows: F(n) represents the percentage of scholars who published in n numbers articles account for its overall in a specific field, and C represents the percentage of scholars who published in 1 numbers articles account for its overall.Lotka law reflects the distribution status and maturity of the academic community in a particular field (Alfred J. Lotka, 1926) [4].This paper conducts field extraction and frequency statistics on China's MOOC research scholars group (the first author) by the literature title analysis software SATI3.2(see Table 1).Statistics show that 56 scholars have published more than 2 articles, up to 16 (Xiao Junhong), followed by 9 (Wang Qiong) and 7 (Stephen; Liu Hehai), 5 (Fang Xu), 4 (Gao Di; Pan Yantao; Li liang), published 3 articles of 22 scholars (Liu Qiyuan and Ye Ying, 2012) [5].
The statistics of published papers is not a simple stack statistics, its significance lies in reflect Chinese MOOC research scholars' intensification degree and the maturity levels of discipline research, calculated Lotka law values is 91%, which far higher than the Lotka classic formulas 60%, which show that the academic community of MOOC research has not been formed in China, a few academic elite (or academic high yield) is the main producer to promote sustained growth on MOOC research, but the whole study lack of core knowledge production team and collectivization trend of academic groups are too weak.
3) The distribution of research fund China's MOOC research fund is mainly distributed in national scientific research projects.In the 627 articles published papers, the MOOC study funded by the national and provincial scientific research funds accounted for 16.6%, 44 articles published papers belongs to the national social science fund projects which accounted for 7%, then the MOOC study supported by the national education scientific planning project and national natural fund research accounted for separately as 4% and 2%, it is worth noting that in the study of MOOC, the national fund project accounts for 83% of the total fund projects, which is almost five times than Provincial fund project.Theses all reflects an important feature of current China's MOOC research is extensive involvement of state and government agencies, the intervention of state research funding and the top-level

Hot Topics Distribution of China's MOOC Research
Due to different factors such as the subject of training, the professional community tend to have different understanding and cognizance of the same construct, but the Cognition of same field scientific community are generally" family resemblance", namely the scientific community based on the similar cognition of subject basic concept and the inherent paradigm to construct the episteme system.As Cohen said: "based on a common paradigm for research, are committed to the same rules and standards to be engaged in practice", co-word analysis method is also based on the inherent rules and considers the research paradigm in specific areas to explore knowledge structure (Thomas Kuhn, 2012) [6].

1) Extraction of co-keywords
Co-keywords, as the most basic knowledge cells, represent the research hotspot of the papers, which is vital node to build a knowledge network.In this study, we obtained 1500 keywords as original data by using SATI3.2, a bibliographic analysis software, then we further normalize the keywords.After normalized operation, the compliance keywords whose word frequency greater than 5 totaled up to 71, cumulative frequency totaled up to 1735 accounted for more than 84% of its population, the keywords whose word frequency greater than 10 totaled up to 1597 accounted for 77%.Combining with the distribution of word frequency, it could be preliminarily deduced that Chinese MOOC research focuses on the following aspects: integration of MOOC and flipped classroom, reform of MOOC teaching model, blending learning, learner studies and educational information and so on (see Table 3).
2) Construct the co-occurrence matrix and convert the multivalued matrix to the 0 -1 matrix (binary matrix), shown in Table 5 represents the weak connection relation between matrix individuals, 1 represents the strong connection relation between matrix individuals, and it is obvious that binary matrix is crucial to present a significant visual map.
3) Clustering analysis of co-keywords Identifying the "Cohesive Subgroups" of the knowledge network is a continuous focus on social network analysis; cluster divides individuals into factions based on their similarity within the group and their distance from each other (John Scott, 2007) [7].High frequency word co-occurrence matrix is normalized to a similarity matrix by the software Ucinet6, and then we use hierarchical cluster analysis construct cluster tree, as shown in Figure 3.
Condensing subgroup has a hierarchical structure, architectural group contained in the boy group.Cluster tree of condensing subgroup is the key to clearly show the subgroup level rather than a simple classified according to the characteristics, from the clustering tree we can see that China MOOC researches are mainly divided into the third group: first knowledge group include flipped classroom, Internet+, Ideological and political education in colleges and universities, University libraries, higher education, course construction, online learning, large agglomeration subgroups include small groups; the second knowledge group include teaching mode, teaching reform, education informatization, learners, online education, countermeasures, innovation, online open courses, big data, remote education and open education resources; the third knowledge group include micro-course, MOOC, education and mixed teaching.Therefore, On the basis of aggregation sub-cluster analysis and combined with high frequency co-occurrence matrix, China's MOOC research can be divided into three major fields, namely, research on construction and application of MOOC in higher education, especially in universities, research on MOOC teaching mode and online education research, and hybrid teaching research combining traditional classroom teaching with MOOC.   1) Countermeasure research on the development of MOOC According to the visualization network map results which based on Gower partition, the two knowledge nodes of "MOOC" and "countermeasure" are located far from the network center in the edge area of the network, but a "knowledge sub-group" with MOOC and countermeasure as the core is formed.To this day have 5 years away from "the first year of development of China's MOOC" in 2013, China has united many famous academicians who from 220 top universities across the country, opened 490 course in the nine MOOC Platform, total quantity of MOOC already ranked first in the world.But along with the MOOC Platform widening and MOOC Courses development, the problems for localization of MOOC continuously emerging, hence the development status and countermeasure research of MOOC became one of the hot topics.Through qualitative study and quantitative analysis, we found that the research on this topic includes the localization construction of MOOC, the construction of MOOC platform, the construction of MOOC curriculum and development status and countermeasures of MOOC in higher education.

Visual Analysis and Focus on Hot Topics
2) The research of educational information for MOOC

3. 1 .
Descriptive Statistics of China's MOOC Research 1) Profile of publications on China's MOOC Research China's MOOC research began in 2013, by the beginning of 2018, CSSCI and CSI database have a total of 627 published articles about MOOC research, with an average annual number of 125 articles published.From the perspective of publications' number, China's research on MOOC has experienced three stages.

Figure 4 .
Figure 4.A visual network structure based on the Gower partition.

4 ) 5 ) 6 )
The information subject of MOOC education is composed of Internet+, remote education, online learning, flipped classroom and online education nodes: DOI: 10.4236/jss.2018.69010159 Open Journal of Social Sciences Q. Li a) research on the topic of Internet+ MOOC mainly focuses on the form research of MOOC education in the context of Internet+, the theoretical research on the value orientation of MOOC education, the research of new talent cultivation model, and the research on the concept of Internet+ education; b) The formation of long-distance education nodes mainly lies in the fact that the production of MOOC injects a large amount of fresh blood and high-quality education resources into long-distance education, some scholars believe that MOOC further refine the differential target positioning of distance education teaching, and it has become a strategic tool for remote education to break the bottleneck of low education resources and achieve a major breakthrough (Wang Haibo, Li Jinfeng, 2016), Therefore, the study on the fusion of MOOC and remote education has become a new research hotspot (Wang Haibo and Li Jinfeng, 2016) [8].c) As for online learning node, it focuses on the empirical research of online learning process and effect evaluation with MOOC as the core.Among them, online learning and online education are adjacent nodes, which are closely related; d) Flipped classroom is located in the important position of "bridging" in the network diagram and has large nodes.The comparative analysis of features and model fusion of new teaching modes, such as flipped classroom and MOOC, is becoming increasingly hot.In particular, the comparative study of MOOC and flipped classroom has become the focus of academic community research in this field; e) Online education is a "relatively isolated" node in the information subject of MOOC education, which is far away from other sub-topics.Online education research mainly focuses on the status quo of online education, comparative analysis of online education between China and the United States, and empirical research on the development motivation of online education.3) A hybrid teaching study of classroom teaching and MOOC online teaching The third knowledge map partition is constituted by several large nodes, classroom instruction, ideological and political theory course, MOOC, blended learning and so on.This topic focuses on the integration of online education teaching in MOOC and traditional classroom teaching modes.In specific course teaching, the fusion practice research of traditional classroom teaching for ideological and political theory versus teaching model of MOOC is the most comprehensive study, which we can see in the knowledge map is that the ideological and political theory course has become a new node outside the classroom teaching, and this node is located at the "bridging" position between MOOC and classroom teaching.This research focuses on the combination of MOOC and ideological and political courses in colleges and universities or in other specific traditional disciplines, mainly consist of curriculum design, evaluation system, Specific teaching activity organization, research of teaching efficiency and so on micro-teaching inquiry.The purpose of this study is to improve teaching quality and cultivate innovative talents based on the Internet era, most of all, the practical exploration of blended teaching mode and teaching courses has become one of the key topics in the research of MOOC, for example a practical study on the DOI: 10.4236/jss.2018.69010160 Open Journal of Social Sciences Q. Li mixed teaching courses of Peking University by the teacher development center of Peking University.Research on MOOC and innovation of higher education Higher education, curriculum construction, teaching mode, online course, online open course, innovation and teaching reform are grouped to form the knowledge sub-group of MOOC and higher education innovation and reform, among them teaching model, curriculum construction and innovation is the biggest node and at the center of the cluster.The distance between each node is close and the network density is large, This theme is mainly divided into the following sub-areas: a) The hot topics of research on MOOC curriculum construction focus on the research of the MOOC curriculum, course construction path, course utilization and practical research on application-oriented undergraduate curriculum construction; b) Comparative analysis and reference research on MOOC and online open courses, online courses and other online courses, for example the research on course credit recognition based on online open course, research on features comparison between MOOC and flipped classroom and so on; c) In the knowledge network map, teaching reform, as an important node, is loosely connected with other nodes, it is an important transition node between MOOC hybrid teaching research and higher education innovation research.Research on open education resources of MOOC The theme of MOOC open education resource include learners, micro-courses, MOOC, open education resources and big data, except big data as the transition topic, other nodes is closely between each other.The rise of MOOC is due to the Open education resources (OER) movement abroad, In 2001 MIT announced that it would put all its courses online, and further officially launch the open course program, this action triggers the global OER movement, so the open education resources is the core concept of MOOC research, research on open education resource movement and value orientation of MOOC.However, studies on the values of open education resource movement and MOOC, core concept of MOOC, the reflection and future prospect of MOOC, the humanistic value and learner study of education, the development of big data and MOOC, and the balanced development of MOOC and education resources have become new research hotspots.Research on the application of MOOC in university libraries Different from the intellectual production of academic institutions, MOOC's application research of the library in colleges and universities are mostly from institutions' MOOC practice under the push of technology research and development, the research of this field focused on the role of university library of MOOC environment change, the study of MOOC service in university library, research on the role positioning of library services, the research on the copyright services of library MOOC, research on the effect of opening education in university libraries, which have provided a vast field to be cultivated for multidisciplinary researchers.DOI: 10.4236/jss.2018.69010161 Open Journal of Social Sciences

Table 1 .
Distribution of major scholars in MOOC.
system design both continuously push the MOOC research formalization.As shown in Table2.

Table 2 .
Main fund distribution of China's MOOC research.thehigher of the actual value (lattice value) in the matrix, the stronger of the real researches' correlation.As shown in Table4, the actual value of micro lecture and MOOC matrix is 14 and co-occurrence is high, shows that 2-tuple matrix of high frequency words Word Co-occurrence Matrix is a multivalued matrix with an asymmetrical relationship, the rows and columns of the Co-occurrence Matrix respectively DOI: 10.4236/jss.2018.69010155 Open Journal of Social Sciences Q. Li represent Specific individuals, the actual value of the matrix represent the strength degree of individual relationships, 0 (or lower than the limit value) is the "hole" in the network that represents the lack of relationships among network nodes, together 3 times in total, which show the strong correlation between each other.Next, we imported the keyword co-occurrence matrix into Ucinet 6 for format conversion, and carry on binary processing for multivalued-matrix, namely DOI: 10.4236/jss.2018.69010156 Open Journal of Social Sciences Q. Li
"Network" is a dynamic collection which made of node and the connection DOI: 10.4236/jss.2018.69010157 Open Journal of Social Sciences Q. Li