College production and education fusion school-enterprise cooperation third-party evaluation method and system

Abstract

The invention relates to the field of school-enterprise cooperation evaluation, in particular to a school-enterprise cooperation third-party evaluation method and system for university production and education fusion, and the system comprises a school-enterprise cooperation information collection module, an index calculation module, a dynamic cooperation network analysis module, and a comprehensive score calculation module. The method not only ensures the openness of cooperation information and prevents information asymmetry, but also improves the efficiency and quality of the communication process and enhances the interaction and cooperation cohesion of both parties. In addition, through analysis of the dynamic cooperation network, weak points and breaking points are identified, a clear improvement direction is provided for the school and enterprise parties, and the school and enterprise parties are guided to optimize a communication mechanism and resource sharing. Through introduction of the cooperation comprehensive score, a visual quantification result is provided for a manager, and comparison in different time periods or transverse comparison with other cooperation networks is facilitated. The scoring mechanism provides a clear target for cooperative optimization, resources are concentrated, weak links are improved, and cooperative advantages are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of school-enterprise cooperation evaluation, and specifically to a third-party evaluation method and system for the integration of production and education between universities and enterprises. Background Art

[0002] The third-party evaluation of school-enterprise cooperation mainly involves the evaluation and analysis of the cooperation relationship between universities and enterprises, aiming to improve the quality and effectiveness of cooperation through objective and fair evaluation methods. The core concerns in this field include the effectiveness of cooperation content, the utilization efficiency of resources, the adaptability of talent cultivation, and the satisfaction of both parties during the cooperation process. During the evaluation process, third-party institutions usually use various tools such as data analysis, questionnaires, and interviews to comprehensively evaluate the achievements and problems of cooperation and put forward targeted improvement suggestions. In this way, not only can the information transparency and communication efficiency between schools and enterprises be enhanced, but it also helps to promote the deep integration of education and industry and achieve a win-win situation. The development of this field is of great significance for promoting the cultivation of high-quality talents and enhancing the innovation ability of enterprises.

[0003] In the existing evaluation methods, information asymmetry is a common phenomenon in school-enterprise cooperation, which makes it difficult for both parties to obtain comprehensive and accurate information during the cooperation process, affecting the scientific nature of decision-making. At the same time, low communication efficiency leads to poor information transmission, which in turn causes slow progress in cooperation. In addition, traditional evaluation methods often rely on subjective judgments and lack systematic quantitative indicators, unable to fully reflect the actual situation of cooperation, and thus the cooperation relationship lacks transparency. Such situations often lead to doubts about the sustainability of the cooperation relationship between the two parties. On the other hand, traditional methods fail to consider the dynamic changes in the cooperation relationship during evaluation, resulting in insufficient timely identification of weak links and breakpoints and unable to adjust strategies in a timely manner. Finally, the existing technologies often lack targeted improvement suggestions after evaluation, unable to effectively guide schools and enterprises to optimize the cooperation relationship, thereby affecting the long-term development of cooperation. Summary of the Invention

[0004] The present invention provides a rail transit scheduling method and system based on big data for the technical problems existing in the prior art.

[0005] The technical solution for the present invention to solve the above technical problems is as follows: A third-party evaluation method for the integration of production and education between universities and enterprises, the method comprising: Collect and integrate the basic information of school-enterprise cooperation, including school-enterprise information and project information, and obtain the data information of each school-enterprise communication; Calculate the transparency index of the cooperation results and use it as the input for communication efficiency analysis to generate the communication effectiveness index. At the same time, combine the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by comprehensively considering the transparency index, communication effectiveness index, and relationship quality index. Based on the transparency index of cooperation achievements, the communication effectiveness index, and the relationship quality index, analyze and process the dynamic cooperation network diagram, calculate the density of the dynamic cooperation network, and mark the weak points and break points in the dynamic cooperation network; Calculate the comprehensive score of each node, analyze the overall quality of the dynamic cooperation network, calculate the proportions of weak points and break points, evaluate the overall score of the dynamic cooperation network, and combine the average value of the node comprehensive scores and the overall score of the dynamic cooperation network to output the comprehensive cooperation score.

[0006] As a further solution of the present invention, calculate the transparency index of cooperation achievements, use it as the input for communication efficiency analysis to generate the communication effectiveness index, and at the same time, combine the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by comprehensively considering the transparency index, the communication effectiveness index, and the relationship quality index, specifically including: Extract the transparency-related data of cooperation achievements from the basic school-enterprise cooperation information, and summarize them into three dimensions: publicity, dissemination, and sharing. At the same time, map the data of the three dimensions to the interval; Integrate the data of the three dimensions and calculate the transparency index of cooperation achievements : Extract the communication frequency, communication time, communication participation degree, and communication quality data from the communication data information, comprehensively evaluate the communication effectiveness through the harmonic mean formula, and calculate the communication effectiveness index : Extract the cooperation historical stability and achievement fulfillment rate from the basic school-enterprise cooperation information, calculate the geometric mean of the trust degree, and obtain the relationship quality index : Based on the transparency index, the communication effectiveness index, and the relationship quality index, calculate the edge weights between the nodes in the dynamic cooperation network diagram, and construct the dynamic cooperation network diagram, where each node represents a school-enterprise cooperation project, and the edge represents the relationship between each node.

[0007] As a further solution of the present invention, when calculating the transparency index of cooperation achievements, if the score of any dimension is zero, the transparency index is directly zero, reflecting the lowest constraint of the achievement transparency.

[0008] As a further solution of the present invention, the calculation of the transparency index of cooperation achievements is specifically: ; Among them, represents the th school-enterprise cooperation project, is the transparency index, is the publicity score, is the dissemination score, is the sharing score; The calculation of the communication effectiveness index , specifically: ; ; Among them, is any one of the indicators of communication frequency, communication time, communication participation degree and communication quality of the index value, is the index of the maximum value, The index after normalization, represents the communication effectiveness index; The calculation of the relationship quality index , specifically: Construct a cooperation intensity matrix for the resource input and cooperation duration data in the project information , where: ; Among them, represents the resource input matrix, represents the cooperation duration matrix; Normalize the matrix to obtain the cooperation intensity score ; Extract the cooperation history stability and achievement fulfillment rate from the basic information of school-enterprise cooperation, calculate the geometric mean of the trust degree, and calculate the relationship quality index : ; ; Among them, represents the geometric mean of the trust degree, represents the cooperation history stability, represents the achievement fulfillment rate, represents the relationship quality index.

[0009] As a further solution of the present invention, the analysis and processing of the dynamic cooperation network diagram, the calculation of the dynamic cooperation network density, and the marking of the weak points and break points in the dynamic cooperation network are specifically as follows: Based on the transparency index of the cooperation results, embed it as an attribute dimension in the node attributes, extract the resource contribution degree, output quality and transparency index of each node from the project information, and integrate them into the multi-dimensional attribute vector of the node; Take the communication effectiveness index as the attribute dimension of the edge, collect the communication data for each time period, calculate the time series of the edge weights, and calculate the edge weight values based on the communication effectiveness index : Analyze the change trend of the edge weight values based on the communication effectiveness index, and record the node pair with the highest change rate as the weak communication node pair; For each edge, calculate the optimized edge weight based on the relationship quality in combination with the relationship quality index , and integrate it into the final edge weight : Calculate the network density representing the tightness of the actual connection between nodes , and set the edge weight threshold: ; Among them, represents the number of edges in the dynamic cooperation network, represents the number of nodes in the dynamic cooperation network; For the edge of the edge weight If it is lower than the edge weight threshold, it is marked as a low-weight edge, and the nodes connected to the low-weight edge are marked as weak points; For the break point, the node with a degree of 0 is marked as the break point.

[0010] As a further solution of the present invention, the calculation of the edge weight value based on the communication effectiveness index , specifically: ; Among them, represents the edge weight value calculated at time , represents the total number of time points in the time series; The calculation of the optimized edge weight based on the relationship quality , and integrate it into the final edge weight Specifically: ; .

[0011] As a further solution of the present invention, calculating the comprehensive score of each node, analyzing the overall quality of the dynamic cooperation network, calculating the proportion of weak points and break points, evaluating the overall score of the dynamic cooperation network, and combining the average value of the node comprehensive scores and the overall score of the dynamic cooperation network to output the cooperation comprehensive score, specifically including: Normalize the transparency index, relationship quality index, and communication effectiveness index of each node to obtain the normalized value of the transparency index of the corresponding node , the normalized value of the relationship quality index and the normalized value of the communication effectiveness index ; Calculate the geometric mean of each node as the comprehensive score of each node , and calculate the mean value of the comprehensive scores of all nodes : ; ; Calculate the proportion of weak points and the proportion of break points : ; ; Combine the proportion of weak points and the proportion of break points as a penalty factor to evaluate the overall score of the dynamic cooperation network , combine the mean value of the node comprehensive scores and the overall score of the dynamic cooperation network, and output the comprehensive cooperation score .

[0012] As a further solution of the present invention, the evaluation of the overall score of the dynamic cooperation network , specifically: ; wherein, represents the weighted average of the node comprehensive scores; The output of the comprehensive cooperation score , specifically: ; wherein, is a proportionality coefficient.

[0013] As a further solution of the present invention, the output of the comprehensive cooperation score further includes: Normalize the comprehensive cooperation score to the interval: ; wherein, is the theoretical maximum value of the comprehensive cooperation score.

[0014] Another object of the present invention is to provide a third-party evaluation system for school-enterprise cooperation in the integration of production, education and research in colleges and universities. The system includes: A school-enterprise cooperation information collection module for collecting and integrating basic school-enterprise cooperation information, including school-enterprise information and project information, and obtaining each school-enterprise communication data information; An index calculation module, which is used to calculate the transparency index of the cooperation results, and serve as the input for communication efficiency analysis to generate a communication effectiveness index. At the same time, combined with the school-enterprise communication data information, it calculates the cooperation intensity and trust degree, obtains the relationship quality index, and constructs a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index and relationship quality index; A dynamic cooperation network analysis module, which is used to analyze and process the dynamic cooperation network diagram based on the transparency index of the cooperation results, communication effectiveness indicators and relationship quality index, calculate the dynamic cooperation network density, and mark the weak points and break points in the dynamic cooperation network; A comprehensive score calculation module, which is used to calculate the comprehensive score of each node, analyze the overall quality of the dynamic cooperation network, calculate the proportion of weak points and break points, evaluate the overall score of the dynamic cooperation network, and output the comprehensive cooperation score by combining the average value of the node comprehensive scores and the overall score of the dynamic cooperation network.

[0015] The beneficial effects of the present invention are: Through multi-dimensional comprehensive analysis, this method significantly improves the transparency, communication effectiveness and relationship quality of school-enterprise cooperation, thereby providing a comprehensive understanding of the cooperation situation for both schools and enterprises.

[0016] This method not only ensures the openness of cooperation information, prevents information asymmetry, but also improves the efficiency and quality of the communication process, enhances the interaction and cooperation cohesion between the two parties. In addition, through the analysis of the dynamic cooperation network, weak points and break points are identified, providing clear improvement directions for both schools and enterprises, guiding them to optimize the communication mechanism and resource sharing, or re-examine the project positioning to enhance their roles in the network.

[0017] By introducing the comprehensive cooperation score, it provides intuitive quantitative results for managers, facilitating comparison at different time periods or horizontal comparison with other cooperation networks. This scoring mechanism provides a clear goal for cooperation optimization, focuses resources on improving weak links, and at the same time strengthens cooperation advantages.

[0018] This evaluation method not only improves the overall quality of school-enterprise cooperation through scientific data analysis and intuitive scoring results, but also provides strong data support for management decisions, ensuring the scientificity and feasibility of the adjustment direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flowchart of a third-party evaluation method for school-enterprise cooperation in the integration of production and education in colleges and universities provided by an embodiment of the present invention; Figure 2 It is a flowchart of calculating the transparency index, communication effectiveness index and relationship quality index of cooperation results provided by an embodiment of the present invention; Figure 3A flowchart for calculating the dynamic cooperation network density and marking weak points and break points in the dynamic cooperation network provided by an embodiment of the present invention; Figure 4 A flowchart for outputting a comprehensive cooperation score by combining the average value of the comprehensive scores of nodes and the overall score of the dynamic cooperation network provided by an embodiment of the present invention; Figure 5 A structural block diagram of a third-party evaluation system for school-enterprise cooperation in the integration of industry and education in colleges and universities provided by an embodiment of the present invention. Specific implementation manners

[0020] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0021] In the description of the present application, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present application, "a plurality" means two or more, unless otherwise specifically defined.

[0022] In the description of the present application, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in the present application is not necessarily construed as being more preferred or having more advantages than other embodiments. In order for any person skilled in the art to implement and use the present invention, the following description is given. In the following description, details are set forth for purposes of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid unnecessary details from obscuring the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope that conforms to the principles and features disclosed in the present application.

[0023] Figure 1 A flowchart of a third-party evaluation method for school-enterprise cooperation in the integration of industry and education in colleges and universities provided by an embodiment of the present invention, as Figure 1 shown, the method includes: S100, collecting and integrating the basic information of school-enterprise cooperation, including school-enterprise information and project information, and obtaining the information of each school-enterprise communication data; S200, calculate the transparency index of the cooperation results, which serves as the input for communication efficiency analysis to generate the communication effectiveness index. Meanwhile, combined with the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index, and relationship quality index. In this step, by extracting the data related to the transparency of the cooperation results, it is classified into three dimensions: publicity, dissemination, and sharing, and these data are mapped into specific intervals, thereby obtaining the transparency index of the cooperation results. This index can intuitively reflect the transparency level of school-enterprise cooperation, helping to identify whether the information flow in the cooperation is smooth and whether information sharing is sufficient.

[0024] Then, the calculation of the communication effectiveness index is based on the comprehensive evaluation of communication frequency, communication time, communication participation, and communication quality, and is comprehensively evaluated through the harmonic mean formula, ensuring that the calculation results can fully reflect the actual situation of communication. At the same time, the calculation of the relationship quality index comprehensively considers the stability of the cooperation history and the achievement fulfillment rate, and is obtained by means of the geometric mean. This can ensure the stability and reliability of the evaluation results.

[0025] This step can comprehensively understand the overall situation of school-enterprise cooperation through multi-dimensional comprehensive analysis of transparency, communication effectiveness, and relationship quality. The transparency index can ensure the publicity of cooperation information and prevent information asymmetry; the communication effectiveness index guarantees the efficiency and quality of the communication process, enhancing the interaction and cooperation cohesion between schools and enterprises; the relationship quality index ensures the durability and trustworthiness of the cooperation relationship by considering historical stability and fulfillment rate.

[0026] The comprehensive use of these indicators constructs a dynamic cooperation network diagram, enabling each project node and their relationships in school-enterprise cooperation to be clearly presented and analyzed.

[0027] As Figure 2 shown, the calculation of the transparency index of the cooperation results, which serves as the input for communication efficiency analysis to generate the communication effectiveness index. Meanwhile, combined with the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index, and relationship quality index specifically includes: S210, extract the data related to the transparency of the cooperation results from the basic school-enterprise cooperation information and classify them into three dimensions: publicity, dissemination, and sharing. At the same time, map the data of the three dimensions into the interval; S220, integrate the data of the three dimensions and calculate the transparency index of the cooperation results : S230. Extract the communication frequency, communication time, communication participation, and communication quality data from the communication data information, and comprehensively evaluate the communication effectiveness through the harmonic mean formula to calculate the communication effectiveness index. : S240. Extract the cooperation historical stability and achievement fulfillment rate from the basic school-enterprise cooperation information, calculate the geometric mean of the trust level, and obtain the relationship quality index. : S250. Based on the transparency index, communication effectiveness index, and relationship quality index, calculate the edge weights between nodes in the dynamic cooperation network graph, and construct the dynamic cooperation network graph, where each node represents a school-enterprise cooperation project and the edge represents the relationship between each node.

[0028] In this step, when calculating the transparency index of the cooperation achievement, if the score of any dimension is zero, the transparency index is directly zero, reflecting the lowest constraint of the achievement transparency.

[0029] In this step, the calculation of the transparency index of the cooperation achievement is specifically as follows: ; where represents the th school-enterprise cooperation project, is the transparency index, is the openness score, is the dissemination score, is the sharing score; The calculation of the communication effectiveness index is specifically as follows: ; ; where is any index among the communication frequency, communication time, communication participation, and communication quality 's index value, is the index 's maximum value, the index 's value after normalization, represents the communication effectiveness index; The obtaining of the relationship quality index is specifically as follows: Construct a cooperation intensity matrix for the resource input and cooperation duration data in the project information, where: ; where represents the resource input matrix, Represents the cooperation duration matrix; For the matrix Perform normalization to obtain the cooperation intensity score ; Extract the cooperation historical stability and achievement fulfillment rate from the basic information of school-enterprise cooperation, calculate the geometric mean of the trust degree, and calculate the relationship quality index : ; ; Among them, Represents the geometric mean of the trust degree, Represents the cooperation historical stability, Represents the achievement fulfillment rate, Represents the relationship quality index.

[0030] S300, based on the transparency index of cooperation achievements, communication effectiveness index, and relationship quality index, analyze and process the dynamic cooperation network diagram, calculate the dynamic cooperation network density, and mark the weak points and break points in the dynamic cooperation network; In this step, by using the transparency index, communication effectiveness index, and relationship quality index as basic data, the dynamic cooperation network diagram is further enriched, so that each node (cooperation project) has multi-dimensional attributes, and the edge weights between nodes comprehensively consider the frequency and quality of communication and the intensity of the cooperation historical relationship. This data processing method not only enables the network diagram to have a more realistic reflection ability, but also lays an important foundation for subsequent density calculation and weak point marking.

[0031] Subsequently, calculate the density of the dynamic cooperation network diagram. The density reflects the ratio of the actual connection quantity between all nodes to the maximum possible connection quantity. This indicator can reveal the tightness of school-enterprise cooperation. For example, a higher network density means that the projects in the cooperation network are closely connected, and resource sharing and information flow are relatively smooth; while a lower density may indicate a loose cooperation structure, with communication barriers or information islands. By dynamically monitoring the density, the change trend of the network health status can be evaluated, providing a reference basis for the continuous optimization of school-enterprise cooperation.

[0032] When marking weak points and break points, by combining the attributes of each node and the edge weights in the network diagram, the weak links in the current cooperation network can be further identified. If the edge weight between nodes is relatively low, it indicates that the communication quality between the corresponding two projects is insufficient or the cooperation relationship is weak, and these node pairs are marked as "weak points". If a certain node is completely disconnected from other nodes, that is, the edge weight is zero, it can be marked as a "break point", indicating the isolated state of the project in the cooperation network. Through this analysis, potential problem areas in the cooperation network can be quickly located, such as which projects need to strengthen communication, in which aspects the resource allocation efficiency or trust building needs to be improved.

[0033] By comprehensively analyzing the specific distribution of weak points and break points, it can provide clear improvement directions for both schools and enterprises. For example, for weak points, schools and enterprises can optimize the communication mechanism between projects and improve the efficiency of resource sharing; for break points, they can re-examine the positioning of the project and consider whether to improve its role in the network by introducing new resources or enhancing team collaboration. Through these specific intervention measures, the dynamic cooperation network diagram has changed from a simple evaluation tool to a guide for optimizing cooperation relationships.

[0034] As Figure 3 shown, the analysis and processing of the dynamic cooperation network diagram, calculating the dynamic cooperation network density, and marking weak points and break points in the dynamic cooperation network are specifically as follows: S310, based on the transparency index of cooperation results, embed it as an attribute dimension in the node attributes, extract the resource contribution degree, output quality, and transparency index of each node from the project information, and integrate them into the multi-dimensional attribute vector of the node; S320, take the communication effectiveness index as the attribute dimension of the edge, collect the communication data for each time period, calculate the time series of the edge weights, and calculate the edge weights based on the communication effectiveness index : S330, analyze the change trend of the edge weights based on the communication effectiveness index, and record the node pairs with the highest change rate as communication weak node pairs; S340, for each edge, calculate the optimized edge weights based on the relationship quality by combining the relationship quality index , and integrate them into the final edge weights : S350, calculate the network density representing the actual connection tightness between nodes , and set the edge weight threshold: ; Among them, represents the number of edges in the dynamic cooperation network, represents the number of nodes in the dynamic cooperation network; For edge Edge weight If it is lower than the edge weight threshold, it is marked as a low-weight edge, and the nodes connected to the low-weight edge are marked as weak points; For break points, the nodes with degree 0 are marked as break points.

[0035] In this step, the edge weight value based on the communication effectiveness index is calculated , specifically: ; Among them, represents the edge weight value calculated at time , represents the total number of time points in the time series; The edge weight value based on the relationship quality is calculated and optimized , and integrated into the final edge weight Specifically: ; .

[0036] S400, calculate the comprehensive score of each node, analyze the overall quality of the dynamic cooperation network, calculate the proportions of weak points and break points, evaluate the overall score of the dynamic cooperation network, and combine the average value of the node comprehensive scores with the overall score of the dynamic cooperation network to output the comprehensive cooperation score.

[0037] This step calculates the comprehensive score of each node, and obtains the performance of each project or link in the school-enterprise cooperation. This process does not merely stay at the analysis of a single indicator, but through the integration of three key indicators: transparency, communication effectiveness, and relationship quality, realizes the multi-dimensional evaluation of data. The calculation of the node comprehensive score not only reflects the role of a single project in the overall cooperation network, but also reveals the synergy and potential differences between nodes, providing a reference for further optimizing the cooperation network.

[0038] At the same time, the proportion analysis of weak points and break points further deepens the understanding of the overall health status of the cooperation network. Weak points often correspond to areas with low cooperation efficiency, poor communication, or insufficient resource sharing, while break points indicate that some projects have completely deviated from the cooperation framework and no longer have an effective impact on the overall network. By identifying and marking these problem nodes, both schools and enterprises can quickly focus on the key areas that need intervention, avoiding the spread or loss of control of problems in cooperation. The proportions of weak points and break points not only play an evaluation role, but also provide specific directions for cooperation optimization, such as strengthening resource investment in some nodes, or redesigning the cooperation mechanism to enhance network connectivity.

[0039] The calculation of the overall network score is based on the comprehensive performance of nodes, and combines the distribution of weak points and break points to conduct a global evaluation of the internal structure of the cooperation network. This evaluation method takes into account both the overall synergy of the network and the performance characteristics of local nodes, and can comprehensively reflect the true state of the current school-enterprise cooperation quality. In addition, through the normalized output of the comprehensive cooperation score, both schools and enterprises can not only clearly understand the current cooperation level, but also use the score results for historical comparison or peer benchmarking to discover their own advantages and disadvantages, so as to provide a scientific basis for future improvement.

[0040] This step not only considers the performance of individual nodes, but also forms a hierarchical and data-rich evaluation system through the analysis of weak points and break points, combined with the synergy of the overall network structure. This multi-dimensional integrated evaluation can avoid the deviation caused by a single indicator, and thus more truly reflect the overall quality of school-enterprise cooperation.

[0041] The introduction of the comprehensive cooperation score not only provides managers with an intuitive quantitative result, but also facilitates comparison between schools and enterprises at different time periods or horizontal comparison with other cooperation networks through standardized score output. This clear scoring mechanism provides a clear goal for cooperation optimization. For example, the improvement of the comprehensive score can be used as the annual cooperation goal, concentrating resources to improve weak links while strengthening cooperation advantages. In addition, the score results can provide data-based support for strategic decision-making to ensure the scientificity and feasibility of the adjustment direction.

[0042] As Figure 4 shown, calculating the comprehensive score of each node, analyzing the overall quality of the dynamic cooperation network, calculating the proportions of weak points and break points, evaluating the overall score of the dynamic cooperation network, and combining the average value of the node comprehensive scores and the overall score of the dynamic cooperation network to output the comprehensive cooperation score specifically includes: S410, normalize the transparency index, relationship quality index, and communication effectiveness index of each node to obtain the normalized value of the transparency index of the corresponding node , the normalized value of the relationship quality index and the normalized value of the communication effectiveness index ; S420, calculate the geometric mean of each node as the comprehensive score of each node , and calculate the average value of the comprehensive scores of all nodes : ; ; S430, calculate the proportion of weak points and the proportion of break points : ; ; S440, combines the weak point ratio and the break point ratio as penalty factors to evaluate the overall score of the dynamic cooperation network , combines the average value of the comprehensive scores of nodes and the overall score of the dynamic cooperation network, and outputs the comprehensive cooperation score .

[0043] In this step, the evaluation of the overall score of the dynamic cooperation network , specifically: ; Among them, represents the weighted average value of the comprehensive scores of nodes; The output of the comprehensive cooperation score , specifically: ; Among them, is the proportionality coefficient.

[0044] The output of the comprehensive cooperation score also includes: Normalize the comprehensive cooperation score to within the interval: ; Among them, is the theoretical maximum value of the comprehensive cooperation score.

[0045] Figure 5 This is the structural block diagram of a third-party evaluation system for school-enterprise cooperation in the integration of industry and education in universities provided by an embodiment of the present invention. As Figure 5 shown, the system includes: The school-enterprise cooperation information collection module 100 is used to collect and integrate the basic information of school-enterprise cooperation, including school-enterprise information and project information, and obtain the data information of each school-enterprise communication; The index calculation module 200 is used to calculate the transparency index of the cooperation results, and use it as the input for the analysis of communication efficiency to generate the communication effectiveness index. At the same time, in combination with the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index and relationship quality index; The dynamic cooperation network analysis module 300 is used to analyze and process the dynamic cooperation network diagram based on the transparency index of the cooperation results, communication effectiveness indicators and relationship quality index, calculate the density of the dynamic cooperation network, and mark the weak points and break points in the dynamic cooperation network; The comprehensive score calculation module 400 is used to calculate the comprehensive scores of each node, analyze the overall quality of the dynamic cooperation network, calculate the proportions of weak points and break points, evaluate the overall score of the dynamic cooperation network, and combine the average value of the node comprehensive scores and the overall score of the dynamic cooperation network to output the comprehensive cooperation score.

[0046] It should be noted that in the above embodiments, the descriptions of the various embodiments have their own focuses. For the parts not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0047] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0048] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram can be realized by computer program instructions, and the combination of the flows and / or blocks in the flowchart and / or block diagram can also be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0049] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including an instruction device, and the instruction device realizes the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide for realizing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1Steps of the functions specified in one or more boxes.

[0051] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0052] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A third-party evaluation method for the integration of production and education and school-enterprise cooperation in colleges and universities, characterized in that, The method includes: Collect and integrate the basic information of school-enterprise cooperation, including school-enterprise information and project information, and obtain the data information of each school-enterprise communication; Calculate the transparency index of cooperation results, and use it as the input for communication efficiency analysis to generate a communication effectiveness index. At the same time, combine the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index and relationship quality index; Based on the transparency index of cooperation results, communication effectiveness index and relationship quality index, analyze and process the dynamic cooperation network diagram, calculate the dynamic cooperation network density, and mark the weak points and break points in the dynamic cooperation network; Calculate the comprehensive score of each node, analyze the overall quality of the dynamic cooperation network, calculate the proportion of weak points and break points, evaluate the overall score of the dynamic cooperation network, and combine the average value of the node comprehensive score and the overall score of the dynamic cooperation network to output the comprehensive cooperation score.

2. The method according to claim 1, wherein The calculation of the transparency index of cooperation results, and use it as the input for communication efficiency analysis to generate a communication effectiveness index. At the same time, combine the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index and relationship quality index specifically includes: Extract the transparency-related data of cooperation achievements from the basic information of school-enterprise cooperation, and summarize them into three dimensions: openness, dissemination, and sharing. At the same time, map the data of the three dimensions to the interval; Integrate data from three dimensions and calculate the transparency index of the cooperation results : Extract communication frequency, communication time, communication participation, and communication quality data from communication data information, and comprehensively evaluate communication effectiveness through the harmonic mean formula to calculate the communication effectiveness index : Extract the historical stability of cooperation and the achievement fulfillment rate from the basic information of school-enterprise cooperation, calculate the geometric mean of the trust level, and obtain the relationship quality index : Based on the transparency index, communication effectiveness index and relationship quality index, calculate the edge weights between nodes in the dynamic cooperation network diagram, and construct a dynamic cooperation network diagram, where each node represents a project of school-enterprise cooperation, and the edge represents the relationship between each node.

3. The method according to claim 2, wherein When calculating the transparency index of cooperation results, if the score of any dimension is zero, the transparency index is directly zero, reflecting the lowest constraint of the result transparency.

4. The method according to claim 2, wherein The transparency index for calculating the cooperation results , specifically: ； Among them, represents the th school-enterprise cooperation project, is the transparency index, is the openness score, is the dissemination score, is the sharing score; The calculated communication effectiveness index , specifically: ； ； Among them, is the index value of any one of communication frequency, communication time, communication participation degree, and communication quality ; is the maximum value of the index ; The normalized value of the index represents the communication effectiveness index; ​​ The obtained relationship quality index , specifically: Construct a cooperation intensity matrix for the resource input and cooperation duration data in the project information , where: ； Among them, represents the resource input matrix, represents the cooperation duration matrix; Normalize the matrix to obtain the cooperation intensity score ; Extract the cooperation historical stability and achievement fulfillment rate from the basic information of school-enterprise cooperation, calculate the geometric mean of the trust degree, and calculate the relationship quality index : ； ； Among them, represents the geometric mean of the trust level, represents the stability of the cooperation history, represents the achievement fulfillment rate, represents the relationship quality index.

5. The method according to claim 3, characterized in that, The analysis and processing of the dynamic cooperation network diagram, calculating the dynamic cooperation network density, and marking the weak points and break points in the dynamic cooperation network specifically is: Based on the transparency index of cooperation results, embed it as an attribute dimension in the node attributes, extract the resource contribution degree, output quality and transparency index of each node from the project information, and integrate them into the multi-dimensional attribute vector of the node; Take the communication effectiveness index as the attribute dimension of the edge, collect the communication data for each time period, calculate the time series of the edge weights, and calculate the edge weight values based on the communication effectiveness index : Analyze the change trend of the edge weights based on the communication effectiveness index, and record the node pair with the highest change rate as the communication weak node pair; For each edge, calculate the optimized relationship-quality based edge weight in combination with the relationship quality index and integrate it into the final edge weight : Calculate the network density representing the tightness of the actual connections between nodes , and set the edge weight threshold: ; Among them, represents the number of edges in the dynamic cooperation network, represents the number of nodes in the dynamic cooperation network; For an edge whose edge weight is lower than the edge weight threshold, it is marked as a low-weight edge, and the nodes connected to the low-weight edge are marked as weak points; For break points, mark the nodes with degree 0 as break points.

6. The method according to claim 5, wherein The calculation is based on the edge weights of the communication effectiveness index , specifically: ； Among them, represents the edge weight value calculated at time , and represents the total number of time points in the time series; The edge weight based on relationship quality with optimized calculation and integrated into the final edge weight Specifically: ； 。 7. The method according to claim 6, wherein The calculation of the comprehensive score of each node, analyzing the overall quality of the dynamic cooperation network, calculating the proportion of weak points and break points, evaluating the overall score of the dynamic cooperation network, and combining the average value of the node comprehensive score and the overall score of the dynamic cooperation network to output the comprehensive cooperation score specifically includes: Normalize the transparency index, relationship quality index, and communication effectiveness index for each node to obtain the normalized value of the transparency index for the corresponding node , the normalized value of the relationship quality index and the normalized value of the communication effectiveness index ; Calculate the geometric mean of each node as the comprehensive score of each node and calculate the mean of the comprehensive scores of all nodes : ； ； Calculate the proportion of weak points and the proportion of break points : ； ； Combine the weak point ratio and the break point ratio as penalty factors to evaluate the overall score of the dynamic cooperation network Output the comprehensive cooperation score by combining the average value of the comprehensive scores of nodes and the overall score of the dynamic cooperation network .

8. The method according to claim 7, wherein The overall score of the evaluated dynamic cooperation network , specifically: ； Among them, represents the weighted average of the comprehensive scores of the nodes; The output comprehensive cooperation score , specifically: ； Among them, is the proportionality coefficient.

9. The method according to claim 8, wherein The output comprehensive cooperation score further includes: Normalize the comprehensive cooperation score to within the range: ； Among them, is the theoretical maximum value of the comprehensive cooperation score.

10. A third-party evaluation system for the integration of production and education and school-enterprise cooperation in colleges and universities, characterized in that, The system includes: A school-enterprise cooperation information collection module for collecting and integrating the basic information of school-enterprise cooperation, including school-enterprise information and project information, and obtaining the data information of each school-enterprise communication; An index calculation module for calculating the transparency index of cooperation results, and using it as the input for communication efficiency analysis to generate a communication effectiveness index. At the same time, combine the school-enterprise communication data information, calculate the cooperation intensity and trust degree, obtain the relationship quality index, and construct a dynamic cooperation network diagram by integrating the transparency index, communication effectiveness index and relationship quality index; A dynamic cooperation network analysis module, which is used to analyze and process the dynamic cooperation network diagram based on the transparency index of cooperation achievements, the communication effectiveness index, and the relationship quality index, calculate the dynamic cooperation network density, and mark the weak points and break points in the dynamic cooperation network; A comprehensive score calculation module, which is used to calculate the comprehensive score of each node, analyze the overall quality of the dynamic cooperation network, calculate the proportions of weak points and break points, evaluate the overall score of the dynamic cooperation network, and output the comprehensive cooperation score by combining the average value of the node comprehensive scores and the overall score of the dynamic cooperation network.

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