Block chain-based production and teaching fusion practical teaching interaction method and system

Abstract

The invention discloses a production and teaching integration practical teaching interaction method and system based on a block chain, and belongs to the technical field of production and teaching integration. The method comprises the following steps: obtaining current data of production and teaching integrated practical teaching, and obtaining a school teaching effect index, an enterprise participation index and a student learning achievement index of current teaching interaction; the practice task completion degree, the knowledge and skill improvement rate and the occupational quality development degree of the current teaching interaction are obtained; and obtaining a teaching quality evaluation index based on the practice task completion degree, the knowledge and skill improvement rate and the occupational quality development degree, and constructing a teaching effect attenuation prediction model. Through real-time monitoring and analysis of multi-dimensional teaching interaction data, the technical effect of comprehensively evaluating the teaching effect of production and teaching integration practice is achieved, and the problems that in the prior art, teaching quality evaluation is single, and real-time feedback is lacked are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of integration of industry and education, and particularly to an interactive method and system for practice teaching of integration of industry and education based on blockchain. Background Art

[0002] With the rapid development of information technology and the continuous update of educational concepts, the integration of industry and education has become an important trend in the development of vocational education. It aims to closely combine the industrial and educational circles, seamlessly connect school teaching with the actual needs of enterprises, and cultivate high-quality applied talents who have both solid theoretical knowledge and rich practical skills to better meet the needs of social and economic development.

[0003] The existing interactive systems for practice teaching of integration of industry and education are mainly implemented through traditional centralized databases and information management systems. Schools and enterprises sign cooperation agreements to share resources and carry out teaching cooperation to a certain extent.

[0004] For example, the online teaching interactive method, system, device and storage medium disclosed in the invention patent with the publication number of CN114862635A includes: in response to a first operation instruction of a first user account, recording a first pronunciation video, where the first pronunciation video includes the mouth picture and pronunciation content of the first user; in response to a second operation instruction of a second user account, synchronously playing the first pronunciation video and a second pronunciation video recorded in real time on the course interface of the second user account, where the second pronunciation video includes the mouth picture and pronunciation content of the second user; and generating pronunciation calibration information according to the first pronunciation video and the second pronunciation video and pushing it to the course interface of the second user account.

[0005] For example, the interactive teaching system and interactive method based on mobile Internet disclosed in the invention patent with the publication number of CN110163775A includes: an interactive teaching system based on mobile Internet, including a teacher client, a parent client, a student client and a service provider background, where the service provider background includes an information storage module and a central processor; the teacher client, the parent client and the student client are connected to the central processor through the Internet, and the information storage module is connected to the central processor. The homework template module is used for the homework counselor to generate an editable state for the answer area of the homework uploaded by the teacher, and the homework counselor edits the answer in the answer area to generate a homework template. The interactive method of the present invention adopts the foregoing interactive system.

[0006] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0007] In the prior art, it often relies on manual collection and analysis of limited data, and the evaluation indicators are not comprehensive enough and lack dynamics, making it difficult to accurately reflect the true effect of teaching interaction. There are problems such as being unable to optimize and adjust the teaching process in a timely and effective manner, and it is difficult to continuously improve the teaching quality. Summary of the Invention

[0008] By providing a blockchain-based industry-education integration practice teaching interaction method and system in an embodiment of the present application, the problem that the evaluation indicators in the prior art are not comprehensive enough and lack dynamics, and it is difficult to accurately reflect the true effect of teaching interaction is solved. A comprehensive and dynamic evaluation indicator is realized, and problems in teaching quality can be discovered in a timely manner.

[0009] An embodiment of the present application provides a blockchain-based industry-education integration practice teaching interaction method, including the following steps: obtaining the current data of industry-education integration practice teaching and performing preprocessing to obtain the preprocessed current data of industry-education integration; based on the preprocessed current data of industry-education integration, obtaining the school teaching effect indicator, enterprise participation indicator, and student learning achievement indicator of the current teaching interaction; based on the preprocessed current data of industry-education integration, obtaining the completion degree of practical tasks, knowledge and skill improvement rate, and professional quality cultivation degree of the current teaching interaction; obtaining a teaching quality evaluation index based on the completion degree of practical tasks, knowledge and skill improvement rate, and professional quality cultivation degree, and the teaching quality evaluation index is used to evaluate the quality of the current industry-education integration practice teaching; constructing a teaching effect attenuation prediction model based on the school teaching effect indicator, enterprise participation indicator, student learning achievement indicator, and teaching quality evaluation index corresponding to the historical industry-education integration practice teaching.

[0010] Further, the steps for obtaining the school teaching effect indicator of the current teaching interaction include: obtaining school teaching data from the preprocessed current data of industry-education integration and performing preprocessing, and storing the preprocessed school teaching data on the blockchain; calculating the teaching environment impact coefficient at the school level according to the set teaching environment impact coefficient formula.

[0011] Further, the teaching environment impact coefficient formula is:

[0012]

[0013] In the formula, E S is the teaching environment impact coefficient, R cu is the current teaching resource input, R av is the average teaching resource input, M cu is the number of types of current teaching methods applied, M max is the maximum number of types of teaching methods applied, T cu is the current teacher training duration, T maxLet \(T\) be the maximum teacher training duration and \(e\) be the natural constant. Based on the preprocessed school teaching data, calculate the school teaching effect index according to the set school teaching effect index formula. The school teaching effect index is used to measure the overall teaching effect of the school, and store the calculation result on the blockchain. The school teaching effect index formula is:

[0014]

[0015] In the formula, \(Z\) S is the school teaching effect index, \(A\) inS is the school's preset teaching goal achievement rate, \(A\) outS is the actual school teaching goal achievement rate, \(\alpha\) 1 is the weight factor of \((A\) outS - \(A\) inS ) on \(Z\) S , \(\alpha\) 2 is the weight factor of \(E\) S on \(Z\) S , \(F\) A is the school teaching health index, \(V\) diffMean is the mean difference of students' grades, \(T\) range is the range of students' grades, \(\alpha\) 3 is the weight factor of \(F\) A on \(Z\) S , \(G\) M is the school teaching interference index, \(\alpha\) 4 is the weight factor of \(G\) M on \(Z\) S , \(SSI\) current is the feedback intensity of current students on teaching interference factors, \(SSI\) mid is the intermediate tolerance intensity of students to teaching interference factors, \(f\) satisfaction is the score of students' satisfaction, \(f\) max is the highest students' satisfaction score.

[0016] Furthermore, obtaining the enterprise participation index includes the following steps: Obtain enterprise participation data from the preprocessed current data of industry-education integration and perform preprocessing, and store the preprocessed enterprise participation data on the blockchain; Calculate the enterprise cooperation tightness coefficient at the enterprise level according to the set enterprise cooperation tightness coefficient formula. The enterprise cooperation tightness coefficient is used to represent the cooperation tightness between the enterprise, the school and the students. The enterprise cooperation tightness coefficient formula is:

[0017]

[0018] In the formula, is the \(i\)-th enterprise cooperation tightness coefficient, \(I\) cu is the total current enterprise investment amount, \(I\) totalIt is the total amount of funds planned to be invested by the enterprise, T guide It is the current mentoring duration of the enterprise mentor, T total It is the planned mentoring duration of the enterprise mentor, P num It is the number of projects provided by the current enterprise, P max It is the number of projects planned to be provided by the enterprise, C times It is the number of communications between the current enterprise and the school, C max It is the number of communications planned between the enterprise and the school; Based on the preprocessed enterprise participation data, the enterprise participation index is calculated according to the set enterprise participation index formula. The enterprise participation index is used to evaluate the participation degree of the enterprise in the practice teaching of the integration of production and education, and the calculation result is stored on the blockchain; The enterprise participation index formula is:

[0019]

[0020] In the formula, is the i-th enterprise participation index, is the achievement rate of the i-th enterprise's preset practice teaching goal, is the actual achievement rate of the i-th enterprise's practice teaching goal, β 1 is for weight factor of, β 2 is for weight factor of, is the i-th enterprise participation health index, is the average value of the score differences of students in the i-th enterprise practice project, is the range of scores of students in the i-th enterprise practice project, β 3 is for weight factor of, is the i-th enterprise participation interference index, β 4 is for weight factor of, is the external interference intensity currently faced by the i-th enterprise, is the intermediate tolerance value of the i-th enterprise to the external interference intensity, is the attention frequency of the i-th enterprise to the current practice teaching, is the maximum attention frequency of the i-th enterprise to the practice teaching, is the resource allocation interference intensity in the cooperation between the i-th enterprise and the school, is the maximum tolerance value of the i-th enterprise to the resource allocation interference intensity, is the influence degree of the i-th enterprise practice project on the improvement of students' professional abilities, is the maximum degree of influence that the i-th enterprise expects on the improvement of students' professional capabilities.

[0021] Furthermore, obtaining the student learning outcome indicators includes the following steps: obtaining student learning data from the current data of industry-education integration after preprocessing, and performing preprocessing, storing the preprocessed student learning data on the blockchain; calculating the student learning status coefficient at the student level according to the set student learning status coefficient formula, where the student learning status coefficient is used to evaluate the current learning status of students in the practice teaching of industry-education integration; the student learning status coefficient formula is:

[0022]

[0023] In the formula, is the learning status coefficient of the j-th course of the p-th student, K score is the current time consumed by the student to master knowledge, K max is the theoretical maximum time to master knowledge, P score is the time consumed by the student for practical operation, P max is the theoretical maximum time for practical operation, A score is the number of times the student participates in learning activities, A max is the theoretical maximum number of times to participate in learning activities; based on the preprocessed student learning data, calculate the student learning outcome indicators according to the set student learning outcome indicator formula, where the student learning outcome indicators are used to evaluate the learning outcomes of students in the practice teaching of industry-education integration, and store the calculation results on the blockchain; the student learning outcome indicator formula is:

[0024]

[0025] In the formula, is the learning outcome indicator of the j-th course of the p-th student, is the completion time of the theoretical exam for the j-th course of the p-th student, is the number of times the practical results of the j-th course of the p-th student are completed, γ 1 is for the weight factor of, γ 2 is the weight factor of for.

[0026] Further, the acquisition methods for the completion rate of current teaching interaction practice tasks, the improvement rate of knowledge and skills, and the cultivation degree of professional qualities are as follows: Obtain practice task data, students' knowledge and skills level data, and students' professional quality level data from the current data of the integration of production and education after preprocessing, and perform preprocessing to obtain the preprocessed practice task data, students' knowledge and skills level data, and students' professional quality level data; Based on the preprocessed practice task data, students' knowledge and skills level data, and students' professional quality level data, obtain the practice task completion rate index, knowledge and skills improvement rate index, and professional quality cultivation degree index through the practice task completion rate index formula, knowledge and skills improvement rate index formula, and professional quality cultivation degree index formula respectively; The practice task completion rate index formula is:

[0027]

[0028] In the formula, V PT is the practice task completion rate index, PT m is the completion duration of the practice task after the m-th teaching interaction, m = 1, 2, ……, n, and n is the total number of teaching interaction times, is the average number of completed practice tasks corresponding to historical teaching interactions; The knowledge and skills improvement rate index formula is:

[0029]

[0030] In the formula, R KS is the knowledge and skills improvement rate index, KS 0 is the number of knowledge and skills mastered by students before teaching interaction, KS t is the number of knowledge and skills mastered by the current students after teaching interaction, KS max is the maximum number of knowledge and skills that can be mastered theoretically, and e is the natural constant; The professional quality cultivation degree index formula is:

[0031]

[0032] In the formula, P PD is the professional quality cultivation degree index, PD 0 is the types of professional qualities mastered by students before teaching interaction, PD t is the types of professional qualities mastered by the current students after teaching interaction, PD max is the maximum types of professional qualities that can be mastered theoretically.

[0033] Further, a teaching quality evaluation index is analyzed based on the completion degree of practical tasks, the improvement rate of knowledge and skills, and the cultivation degree of professional qualities, including the following steps: preprocessing based on the obtained completion degree of practical tasks, the improvement rate of knowledge and skills, and the cultivation degree of professional qualities; calculating the teaching quality evaluation index according to the set teaching quality evaluation index formula based on the preprocessed completion degree of practical tasks, the improvement rate of knowledge and skills, and the cultivation degree of professional qualities. The teaching quality evaluation index is used to evaluate the quality degree of teaching, and the calculation process and results are stored in the blockchain.

[0034] Further, the teaching quality evaluation index formula is:

[0035] QI = μ 1 *V PT + μ 2 *R KS + μ 3 *P PD ;

[0036] In the formula, QI is the teaching quality evaluation index, V PT is the completion degree index of practical tasks, R KS is the improvement rate index of knowledge and skills, P PD is the cultivation degree index of professional qualities, μ 1 is the weight factor of V PT for QI, μ 2 is the weight factor of R KS for QI, μ 3 is the weight factor of P PD for QI.

[0037] Further, constructing a teaching effect attenuation prediction model includes the following steps: obtaining the school teaching effect index, enterprise participation index, student learning outcome index, teaching quality evaluation index, and teaching effect attenuation result corresponding to historical industry-education integration practice teaching, and performing preprocessing; dividing the preprocessed school teaching effect index, enterprise participation index, student learning outcome index, teaching quality evaluation index, and teaching effect attenuation result into training sets and test sets respectively, and the training sets and test sets are stored on different nodes of the blockchain respectively; using the preprocessed school teaching effect index, enterprise participation index, student learning outcome index, and teaching quality evaluation index as input data, and using the teaching effect attenuation result as output data, constructing a preliminary teaching effect attenuation prediction model through a support vector machine; testing the preliminary teaching effect attenuation prediction model based on the test set to obtain the teaching effect attenuation prediction model.

[0038] The embodiment of the present application provides an interactive system for practice teaching of industry-education integration based on blockchain, which is used to implement the interactive method for practice teaching of industry-education integration based on blockchain, including: a data acquisition module, an index calculation module, a teaching quality evaluation module, and a model construction module. Among them, the data acquisition module is used to acquire the current data of practice teaching of industry-education integration and perform preprocessing to obtain the preprocessed current data of industry-education integration; the index calculation module is used to obtain the school teaching effect index, enterprise participation index, and student learning achievement index of the current teaching interaction based on the preprocessed current data of industry-education integration; the teaching quality evaluation module is used to obtain the completion degree of practice tasks, knowledge and skill improvement rate, and professional quality cultivation degree of the current teaching interaction based on the preprocessed current data of industry-education integration; obtain a teaching quality evaluation index based on the completion degree of practice tasks, knowledge and skill improvement rate, and professional quality cultivation degree, and the teaching quality evaluation index is used to evaluate the quality of the current practice teaching of industry-education integration; the model construction module is used to construct a teaching effect attenuation prediction model based on the school teaching effect index, enterprise participation index, student learning achievement index, and teaching quality evaluation index corresponding to historical practice teaching of industry-education integration.

[0039] One or more technical solutions provided in the embodiment of the present application have at least the following technical effects or advantages:

[0040] 1. Through the transparent data recording and storage based on blockchain technology, it is ensured that all data related to the practice teaching of industry-education integration is recorded and shared safely and transparently, thereby achieving the technical effects of data immutability and real-time traceability, and effectively solving the problems of poor data security and inability to trace data tampering in the prior art.

[0041] 2. By obtaining and processing key index data of industry-education integration in real time, it is possible to dynamically generate a teaching quality evaluation index based on the data, thereby achieving the technical effects of real-time evaluation and dynamic adjustment of teaching quality, and effectively solving the problems of inability to monitor and evaluate the teaching effect of industry-education integration in real time and lack of accurate feedback in the prior art.

[0042] 3. By constructing a teaching effect attenuation prediction model based on historical data, it is possible to predict the decline trend of teaching quality in advance, thereby achieving the technical effects of early warning and optimized adjustment of teaching quality, and effectively solving the problems of lack of forward-looking warning mechanism and inability to adjust teaching strategies in time in the prior art. Brief Description of the Drawings

[0043] Figure 1 It is a flowchart of an interactive method for practice teaching of industry-education integration based on blockchain provided by the embodiment of the present application.

[0044] Figure 2Schematic structural diagram of an interactive system for production-education integration practice teaching based on blockchain provided by an embodiment of the present application. Detailed implementation manners

[0045] By providing an interactive method and system for production-education integration practice teaching based on blockchain in an embodiment of the present application, the problems in the prior art that the evaluation indicators are not comprehensive enough and lack dynamics, and it is difficult to accurately reflect the true effect of teaching interaction are solved. The overall effect of production-education integration practice teaching is reflected by indicators from multiple dimensions, and a prediction model for teaching effect attenuation is constructed, so that the evaluation indicators are more comprehensive and accurate, and problems in teaching quality can be found in time, realizing continuous improvement of teaching quality.

[0046] In order to better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0047] As Figure 1 shown, it is a flowchart of an interactive method for production-education integration practice teaching based on blockchain provided by an embodiment of the present application. The method includes the following steps: obtaining the current data of production-education integration practice teaching and performing preprocessing to obtain the preprocessed current data of production-education integration; based on the preprocessed current data of production-education integration, obtaining the school teaching effect index, enterprise participation index, and student learning achievement index of the current teaching interaction; based on the preprocessed current data of production-education integration, obtaining the completion degree of practical tasks, knowledge and skill improvement rate, and professional quality cultivation degree of the current teaching interaction; obtaining a teaching quality evaluation index based on the completion degree of practical tasks, knowledge and skill improvement rate, and professional quality cultivation degree, and the teaching quality evaluation index is used to evaluate the quality of the current production-education integration practice teaching; constructing a teaching effect attenuation prediction model based on the school teaching effect index, enterprise participation index, student learning achievement index, and teaching quality evaluation index corresponding to historical production-education integration practice teaching.

[0048] In this embodiment, during the preprocessing process, data integrity and accuracy are checked through data cleaning, for example, removing duplicate records and correcting incorrect data (such as incorrect score entry). Through data conversion, data in different formats are unified, such as converting text-formatted evaluations into numerical forms for calculation. Data integration integrates data from different data sources into a dataset to ensure data relevance and consistency.

[0049] Further, obtaining the school teaching effect indicators of the current teaching interaction includes the following steps: obtaining school teaching data from the current data of the integration of production and education after preprocessing, and performing preprocessing, and storing the preprocessed school teaching data on the blockchain; calculating the teaching environment impact coefficient at the school level according to the set formula for the teaching environment impact coefficient, and the teaching environment impact coefficient is used to consider the comprehensive impact of the resources, methods, and teacher development provided by the school for teaching on the teaching effect.

[0050] In this embodiment, focusing on the core elements of practice teaching directly reflects the growth of students in terms of practical ability, knowledge mastery, and professional quality. For example, a high degree of completion of practical tasks indicates that students can apply theoretical knowledge to actual operations, the knowledge and skill improvement rate reflects the effect of teaching on students' ability improvement, and the degree of professional quality cultivation is related to the sustainability of students' future career development.

[0051] Further, the formula for the teaching environment impact coefficient is:

[0052]

[0053] In the formula, E S is the teaching environment impact coefficient, R cu is the current teaching resource input, R av is the average teaching resource input, M cu is the number of current teaching methods applied, M max is the maximum number of teaching methods applied, T cu is the current teacher training duration, T max is the maximum teacher training duration, e is the natural constant; based on the preprocessed school teaching data, calculate the school teaching effect indicators according to the set school teaching effect indicator formula, and the school teaching effect indicators are used to measure the overall teaching effect of the school, and store the calculation results on the blockchain; the school teaching effect indicator formula is:

[0054]

[0055] In the formula, Z S is the school teaching effect indicator, A inS is the achievement rate of the school's preset teaching goals, A outS is the actual achievement rate of the school's teaching goals, α 1 is the weight factor of (A outS -A inS ) on Z S , α 2 is the weight factor of E S on Z S , F A is the school teaching health index, V diffMean is the mean difference of students' grades, Trange is the range of student grades, α 3 is F A for Z S weight factor of, G M is the school teaching interference index, α 4 is G M for Z S weight factor of, SSI current is the feedback intensity of the current students on teaching interference factors, SSI mid is the intermediate tolerance intensity of students to teaching interference factors, f satisfaction is the score of student satisfaction, f max is the highest student satisfaction score.

[0056] In this embodiment, the data collection channels include the daily performance records of students in the learning and practice processes, such as classroom attendance and discipline compliance, which reflect the time management and rule awareness of students; the collaborative performance in group projects reflects the teamwork spirit; the feedback from internship units on the professional ethics (such as honesty and trustworthiness, confidentiality of business secrets) and professional attitudes (such as work enthusiasm, sense of responsibility) of students, etc. At the same time, the school can also obtain more information about students' professional qualities through questionnaires, self-evaluations and peer evaluations of students. Professional quality cultivation degree: It is an index to evaluate the effect of cultivating students' professional qualities in the practice teaching of the integration of production and education. It covers multiple aspects such as professional ethics, professional attitudes and professional behavior habits, and is obtained through comprehensive evaluation of students' performance in the learning and practice processes, reflecting the growth and development degree of students in terms of professional qualities and being an important part of measuring students' comprehensive qualities. The feedback intensity of the current students on teaching interference factors can be obtained by designing questionnaires. The questionnaires can include evaluation questions on the satisfaction and interference degree of aspects such as teaching environment, teaching methods, and course content. Through the results of the questionnaires, the feedback intensity of students on teaching interference factors is quantified. The intermediate tolerance intensity of students to teaching interference factors can be measured by classroom evaluation scales. The scales can contain multiple evaluation indicators, such as the clarity of teaching objectives, the scientificity of teaching content, and the appropriateness of teaching methods, and the tolerance degree of students to interference is evaluated through these indicators.

[0057] Furthermore, the steps to obtain the enterprise participation index include: obtaining enterprise participation data from the current data of the integration of production and education after preprocessing, and performing preprocessing, and storing the preprocessed enterprise participation data on the blockchain; calculating the enterprise cooperation tightness coefficient at the enterprise level according to the set enterprise cooperation tightness coefficient formula, and the enterprise cooperation tightness coefficient is used to represent the cooperation tightness degree between the enterprise, the school and the students; the enterprise cooperation tightness coefficient formula is:

[0058]

[0059] wherein is the tight - cooperation coefficient of the \(i\) - th enterprise, \(I\) cu is the total amount of funds invested by the current enterprise, \(I\) total is the total planned investment of the enterprise, \(T\) guide is the mentoring duration of the current enterprise's tutor, \(T\) total is the planned mentoring duration of the enterprise's tutor, \(P\) num is the number of projects provided by the current enterprise, \(P\) max is the planned number of projects to be provided by the enterprise, \(C\) times is the number of communications between the current enterprise and the school, \(C\) max is the planned number of communications between the enterprise and the school; Based on the pre - processed enterprise participation data, the enterprise participation index is calculated according to the set enterprise participation index formula. The enterprise participation index is used to evaluate the participation degree of the enterprise in the practice teaching of industry - education integration, and the calculation result is stored on the blockchain; The enterprise participation index formula is:

[0060]

[0061] wherein is the participation index of the \(i\) - th enterprise, is the achievement rate of the preset practice teaching goal of the \(i\) - th enterprise, is the actual achievement rate of the practice teaching goal of the \(i\) - th enterprise, \(\beta\) 1 is the weight factor for with respect to \(\beta\) 2 is the weight factor for with respect to is the participation health index of the \(i\) - th enterprise, is the average value of the performance differences of students in the practice projects of the \(i\) - th enterprise, is the range of students' scores in the practice projects of the \(i\) - th enterprise, \(\beta\) 3 is the weight factor for with respect to is the participation interference index of the \(i\) - th enterprise, \(\beta\) 4 is the weight factor for with respect to is the intensity of external interference faced by the \(i\) - th enterprise currently, is the intermediate tolerance value of the \(i\) - th enterprise to the intensity of external interference, is the attention frequency of the \(i\) - th enterprise to the current practice teaching, is the maximum attention frequency of the \(i\) - th enterprise to the practice teaching, is the intensity of resource allocation interference in the cooperation between the \(i\) - th enterprise and the school, is the maximum tolerance value of the i-th enterprise for the interference intensity of resource allocation. is the influence degree of the i-th enterprise's practical project on the improvement of students' professional abilities. is the maximum influence degree that the i-th enterprise expects on the improvement of students' professional abilities.

[0062] In this embodiment, enterprise participation data refers to various types of data related to the enterprise's participation in teaching activities during the integration of production and education, including the enterprise's capital investment, human input (such as tutor guidance), project resource provision, and communication and interaction with schools and students, etc., which are used to reflect the actual participation degree and contribution of the enterprise in the integration of production and education.

[0063] By classifying the external interference factors that may affect the enterprise's participation in the integration of production and education, such as policy and regulation changes, market competition, economic environment fluctuations, etc., and assigning corresponding weights according to their potential impact on the enterprise's participation degree. For example, the weight of policy and regulation changes is 0.4, market competition is 0.3, and economic environment fluctuations is 0.3. For specific interference events under each category, relevant departments and personnel within the enterprise are organized to conduct evaluations, using a 1-5 rating scale, where 1 indicates minimal impact and 5 indicates maximum impact. The comprehensive interference intensity is calculated based on the determined weights and the evaluated impact degree. The calculation formula is: External interference intensity = (Impact degree of policy and regulation changes × Weight) + (Impact degree of market competition × Weight) + (Impact degree of economic environment fluctuations × Weight). Substituting the above data, the external interference intensity = (4 × 0.4) + (3 × 0.3) + (3 × 0.3) = 3.4, and thus the external interference intensity currently faced by the enterprise can be obtained.

[0064] By having the enterprise review various external interference events experienced in the past several years (such as 5 - 10 years), and analyzing the extreme situations where the enterprise maintains a normal participation degree in the integration of production and education under these events. If the enterprise's current financial condition is good and its market position is stable, it will appropriately increase the tolerance value for certain interference factors; otherwise, it will decrease. Assuming that after comprehensive consideration, the enterprise determines that a 25% fluctuation in raw material prices, a 15% decline in market share, and a policy adjustment involving certain core businesses but can be addressed through internal adjustments are the current intermediate tolerance values, corresponding to interference intensity values of 3 (raw material price fluctuation), 2.5 (market share decline), and 3 (policy adjustment) respectively, and assigning weights according to the importance of these factors in practice (such as 0.4, 0.3, 0.3), the calculated comprehensive intermediate tolerance value = (3 × 0.4) + (2.5 × 0.3) + (3 × 0.3) = 2.85, and thus the intermediate tolerance value of the enterprise for the external interference intensity can be obtained.

[0065] By calculating specific indicators such as the difference ratio of the planned and actual input resource quantities, and the number of days of delay in resource input time. For example, if the planned capital investment is 1 million yuan and the actual investment is 800,000 yuan, the capital difference ratio is (1000000 - 800000) / 1000000 = 0.2; if 10 internship positions are planned to be provided and 6 are actually provided, the position difference ratio is (10 - 6) / 10 = 0.4; if the planned mentoring duration by the tutor is 1000 hours and the actual is 600 hours, the duration difference ratio is (1000 - 600) / 1000 = 0.4; the arrival time of the enterprise tutor is delayed by 30 days. Different weights are assigned according to the importance of the resources (such as capital, human resources, time, etc.) for the cooperation. For example, the capital weight is 0.3, the internship position weight is 0.3, the tutor mentoring duration weight is 0.2, and the tutor arrival time weight is 0.2.

[0066] The calculation formula is: Resource allocation interference intensity = (capital difference ratio × weight) + (position difference ratio × weight) + (duration difference ratio × weight) + (converted value of days of time delay × weight). Assuming that the days of time delay are converted into values comparable to other indicators (for example, a 30-day delay corresponds to an interference intensity of 0.5), then the resource allocation interference intensity = (0.2 × 0.3) + (0.4 × 0.3) + (0.4 × 0.2) + (0.5 × 0.2) = 0.34. Thus, the resource allocation interference intensity in the cooperation between the enterprise and the school can be obtained.

[0067] By designing a comprehensive set of vocational ability assessment indicators, including aspects such as professional skills, practical operation ability, teamwork ability, problem-solving ability, and professional qualities. Each indicator is divided into different levels corresponding to different scores. For example, professional skills are divided from beginner to advanced as 1 - 5 points; practical operation ability is rated from 1 - 5 points according to the complexity and quality of the completed tasks; teamwork ability corresponds to 1 - 5 points from poor to excellent, etc. Assessments are carried out before and after the students participate in the enterprise practice project respectively, calculate the score improvement of each indicator, and assign weights according to the importance of the indicators. Assuming the professional skills weight is 0.3, the practical operation ability weight is 0.3, the teamwork ability weight is 0.2, the problem-solving ability weight is 0.1, and the professional quality weight is 0.1.

[0068] For example, before a certain student's practice, their professional skills score was 2 points, and after the practice, it increased to 4 points, an increase of 2 points; their practical operation ability increased from 2 points to 4 points, an increase of 2 points; their teamwork ability increased from 3 points to 4 points, an increase of 1 point; their problem-solving ability increased from 2 points to 3 points, an increase of 1 point; and their professional quality increased from 3 points to 4 points, an increase of 1 point. Then, the impact degree of the enterprise practice project on the improvement of the student's professional ability = ((4 - 2) × 0.3) + ((4 - 2) × 0.3) + ((4 - 3) × 0.2) + ((3 - 2) × 0.1) + ((4 - 3) × 0.1) = 1.4. From this, the impact degree of the enterprise practice project on the improvement of the student's professional ability can be obtained.

[0069] Enterprises can analyze their own advantages and disadvantages in aspects such as capital investment, tutor guidance, project provision, and communication based on their own cooperation tightness coefficient, and then adjust their cooperation strategies. For example, if the coefficient is relatively low, the enterprise can consider increasing capital investment or strengthening tutor guidance to improve the cooperation effect. Schools can also adjust their cooperation methods with enterprises according to the coefficient to promote closer and more effective cooperation between the two parties.

[0070] Furthermore, obtaining the student learning outcome indicators includes the following steps: obtaining the student learning data from the current data of the integration of production and education after preprocessing, and performing preprocessing, then storing the preprocessed student learning data on the blockchain; calculating the student learning status coefficient at the student level according to the set student learning status coefficient formula, and the student learning status coefficient is used to evaluate the current learning status of the student in the integration of production and education practice teaching; the student learning status coefficient formula is:

[0071]

[0072] In the formula, is the learning status coefficient of the j-th course of the p-th student, K score is the current time-consuming for the student to master knowledge, K max is the theoretical longest time-consuming to master knowledge, P score is the time-consuming for the student's practical operation, P max is the theoretical longest time-consuming for practical operation, A score is the number of times the student participates in learning activities, A max is the theoretical maximum number of times to participate in learning activities; based on the preprocessed student learning data, calculate the student learning outcome indicators according to the set student learning outcome indicator formula, and the student learning outcome indicators are used to evaluate the learning outcomes of the student in the integration of production and education practice teaching, and store the calculation results on the blockchain; the student learning outcome indicator formula is:

[0073]

[0074] In the formula, is the learning achievement index of the j-th course for the p-th student, is the completion duration of the theoretical exam for the j-th course of the p-th student, is the number of times the practical achievement of the j-th course of the p-th student is completed, γ 1 is for the weight factor of, γ 2 is the weight factor for.

[0075] In this embodiment, the student learning achievement index combines the student's theoretical learning and practical achievements, and can more comprehensively and objectively evaluate the student's learning achievements in the practice teaching of the integration of production and education. Compared with a single exam score or practical evaluation, this index can more accurately reflect the student's comprehensive quality and ability improvement.

[0076] Furthermore, the acquisition methods of the completion degree of the current practical tasks, the improvement rate of knowledge and skills, and the cultivation degree of professional qualities in the current teaching interaction are as follows: obtain the practical task data, the student knowledge and skills level data, and the student professional quality level data from the current data of the integration of production and education after preprocessing, and perform preprocessing to obtain the preprocessed practical task data, the student knowledge and skills level data, and the student professional quality level data; based on the preprocessed practical task data, the student knowledge and skills level data, and the student professional quality level data, obtain the practical task completion degree index, the knowledge and skills improvement rate index, and the professional quality cultivation degree index respectively through the practical task completion degree index formula, the knowledge and skills improvement rate index formula, and the professional quality cultivation degree index formula; the practical task completion degree index formula is:

[0077]

[0078] In the formula, V PT is the practical task completion degree index, PT m is the completion duration of the practical task after the m-th teaching interaction, m = 1, 2, ……, n, and n is the total number of teaching interaction times, is the average number of times the practical task is completed corresponding to the historical teaching interaction; the knowledge and skills improvement rate index formula is:

[0079]

[0080] In the formula, R KS is the knowledge and skills improvement rate index, KS 0 is the number of knowledge and skills mastered by the student before the teaching interaction, KS t is the number of knowledge and skills mastered by the current student after the teaching interaction, KS max is the maximum number of knowledge and skills that can be mastered theoretically; the professional quality cultivation degree index formula is:

[0081]

[0082] Wherein, P PD is the professional quality cultivation degree index, PD 0 is the type of students' professional quality mastered before teaching interaction, PD t is the current type of students' professional quality mastered after teaching interaction, PD max is the maximum type of professional quality that can be mastered theoretically.

[0083] In this embodiment, the completion degree index of practical tasks reflects the students' ability to apply theoretical knowledge to actual operations, the knowledge and skill improvement rate index reflects the promotion effect of teaching activities on the growth of students' knowledge and skills, and the professional quality cultivation degree index focuses on the cultivation of students' professional ethics, attitudes and behavior habits. This multi-dimensional evaluation provides a comprehensive perspective for schools, enterprises and students themselves to understand the development status of students, helps to discover the advantages and disadvantages of students in different aspects, and thus provides strong support for personalized education and career planning. For example, for a student majoring in engineering, a high completion degree of practical tasks indicates that he has good engineering practice ability and can independently complete engineering project tasks; a high knowledge and skill improvement rate shows that he has made significant progress in professional knowledge and skills and can keep up with the needs of industry development; good professional quality cultivation means that he performs well in teamwork, professional ethics and other aspects and is more in line with the expectations of enterprises for high-quality engineering talents.

[0084] Furthermore, based on the completion degree of practical tasks, the knowledge and skill improvement rate, and the professional quality cultivation degree, the teaching quality evaluation index is analyzed, including the following steps: preprocessing based on the obtained completion degree of practical tasks, the knowledge and skill improvement rate, and the professional quality cultivation degree; calculating the teaching quality evaluation index according to the set teaching quality evaluation index formula based on the preprocessed completion degree of practical tasks, the knowledge and skill improvement rate, and the professional quality cultivation degree. The teaching quality evaluation index is used to evaluate the quality degree of teaching, and the calculation process and results are stored in the blockchain.

[0085] In this embodiment, the information of these calculation processes is encrypted together with the final calculation results and then stored on the blockchain. The distributed ledger structure of the blockchain ensures the immutability and traceability of data. Any modification to the calculation process and results will leave a trace in the blockchain network, thus ensuring the fairness and transparency of teaching quality evaluation.

[0086] Furthermore, the teaching quality evaluation index formula is:

[0087] QI = μ 1 *V PT + μ 2 *R KS + μ3 *P PD ;

[0088] In the formula, QI is the teaching quality evaluation index, V PT is the completion index of practical tasks, R KS is the knowledge and skill improvement rate index, P PD is the professional quality cultivation index, μ 1 is the weight factor of V PT for QI, μ 2 is the weight factor of R KS for QI, μ 3 is the weight factor of P PD for QI.

[0089] Furthermore, constructing a teaching effect attenuation prediction model includes the following steps: obtaining the school teaching effect indicators, enterprise participation indicators, student learning outcome indicators, teaching quality evaluation index, and teaching effect attenuation results corresponding to historical industry-education integration practice teaching, and performing preprocessing; dividing the preprocessed school teaching effect indicators, enterprise participation indicators, student learning outcome indicators, teaching quality evaluation index, and teaching effect attenuation results into training sets and test sets respectively, and storing the training sets and test sets on different nodes of the blockchain; using the preprocessed school teaching effect indicators, enterprise participation indicators, student learning outcome indicators, and teaching quality evaluation index as input data, and using the teaching effect attenuation results as output data, and constructing a preliminary teaching effect attenuation prediction model through a support vector machine; testing the preliminary teaching effect attenuation prediction model based on the test set to obtain the teaching effect attenuation prediction model.

[0090] In this embodiment, historical data is collected from the school teaching management system, enterprise cooperation records, student learning files, and previous evaluation records of teaching quality and effects. For example, collecting relevant data of different majors and grades in the past few years, including data on the school's investment in teaching resources, application of teaching methods, etc. to calculate the school teaching effect indicators; data on enterprise investment, provision of projects and tutor guidance, etc. for enterprise participation indicators; data on students' theoretical exam scores, practical operation results, etc. to determine the student learning outcome indicators; and the previously calculated teaching quality evaluation index and the teaching effect attenuation results obtained through follow-up surveys or subsequent evaluations (such as the decline in skill application ability shown in the career development questionnaire after students graduate, the degree of knowledge forgetting, etc.).

[0091] The divided training set and test set are stored on different nodes of the blockchain respectively. The distributed storage feature of the blockchain ensures the security and immutability of data. At the same time, storing data on different nodes can prevent data leakage and single-point failures. The data stored on each node includes the data itself, the source information of the data, the preprocessing records, and metadata such as the type of the dataset (training set or test set), so as to accurately trace and use the data during the subsequent model training and testing processes.

[0092] As Figure 2 shown, it is a schematic structural diagram of an industry-education integration practice teaching interaction system based on blockchain provided by an embodiment of the present application. An industry-education integration practice teaching interaction system based on blockchain provided by an embodiment of the present application is used to implement an industry-education integration practice teaching interaction method, including: a data acquisition module, an index calculation module, a teaching quality evaluation module, and a model construction module. Among them, the data acquisition module is used to acquire the current data of industry-education integration practice teaching and perform preprocessing to obtain the preprocessed current data of industry-education integration; the index calculation module is used to obtain the school teaching effect index, enterprise participation index, and student learning achievement index of the current teaching interaction based on the preprocessed current data of industry-education integration; the teaching quality evaluation module is used to obtain the completion degree of practical tasks, the knowledge and skill improvement rate, and the professional quality cultivation degree of the current teaching interaction based on the preprocessed current data of industry-education integration; obtain a teaching quality evaluation index based on the completion degree of practical tasks, the knowledge and skill improvement rate, and the professional quality cultivation degree, and the teaching quality evaluation index is used to evaluate the quality of the current industry-education integration practice teaching; the model construction module is used to construct a teaching effect attenuation prediction model based on the school teaching effect index, enterprise participation index, student learning achievement index, and teaching quality evaluation index corresponding to historical industry-education integration practice teaching.

[0093] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete 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 storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0094] The present invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart illustrations and / or block diagrams, and combinations of flows and / or blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in one flow or multiple flows and / or blocks Figure 1 or in one block or multiple blocks.

[0095] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in one flow or multiple flows and / or blocks Figure 1 or in one block or multiple blocks.

[0096] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in one flow or multiple flows and / or blocks Figure 1 or in one block or multiple blocks.

[0097] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of 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 that fall within the scope of the present invention.

[0098] It is apparent that 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 blockchain-based industry-education integration practical teaching interactive method, characterized in that: The following steps are involved: Acquire the current data of the practical teaching of industry-education integration, and perform preprocessing to obtain the preprocessed current data of industry-education integration; Based on the pre-processed current data of industry-education integration, the school teaching effect indicators, enterprise participation indicators, and student learning outcome indicators of current teaching interaction are obtained; Based on the pre-processed current data of industry-education integration, the completion rate of practical tasks, the rate of knowledge and skills improvement, and the degree of professional quality development of current teaching interaction are obtained; Based on the degree of completion of practical tasks, the rate of improvement of knowledge and skills, and the degree of professional quality development, a teaching quality evaluation index is obtained, which is used to evaluate the quality of current industry-education integration practical teaching; Based on the school teaching effectiveness indicators, enterprise participation indicators, student learning outcome indicators, and teaching quality evaluation index corresponding to the historical industry-education integration practical teaching, a teaching effectiveness attenuation prediction model is constructed.

2. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: The following steps are involved in obtaining the school teaching effectiveness indicators of the current teaching interaction: Obtain school teaching data from the preprocessed current data of industry-education integration, perform preprocessing, and store the preprocessed school teaching data on the blockchain; The teaching environment impact coefficient at the school level is calculated according to the set teaching environment impact coefficient formula.

3. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 2 is characterized by: The formula for the teaching environment impact coefficient is: In the formula, E S is the teaching environment influence coefficient, R cu is the current teaching resource input, R av is the average teaching resource input, M cu is the number of current teaching method applications, M max is the maximum number of teaching method applications, T cu is the current teacher training duration, T max is the maximum teacher training duration, e is a natural constant; Based on the pre-processed school teaching data, the school teaching effect index is calculated according to the set school teaching effect index formula. The school teaching effect index is used to measure the overall teaching effect of the school, and the calculation result is stored on the blockchain; The formula for the school teaching effect index is: In the formula, Z S A is the school teaching effect indicator. inS Set the teaching goal achievement rate for the school, A outS is the actual school teaching goal achievement rate, α1 is (A outS -A inS ) for Z S The weight factor of E S Z S The weight factor, F A is the school teaching health indicator, V diffMean is the mean difference of students’ scores, T range is the extreme poor performance of students, α3 is F A Z S The weight factor, G M is the school teaching interference index, α4 is G M Z S The weight factor, SSI current is the current student feedback intensity on teaching interference factors, SSI mid is the students’ intermediate tolerance to teaching interference factors, f satisfaction is the score of student satisfaction, f max Rated for highest student satisfaction.

4. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: Derivation of the enterprise engagement indicator involves the following steps: Based on the pre-processed current data of industry-education integration, the enterprise participation data is obtained and pre-processed, and the pre-processed enterprise participation data is stored on the blockchain; Calculate the enterprise cooperation closeness coefficient at the enterprise level according to the set enterprise cooperation closeness coefficient formula, and the enterprise cooperation closeness coefficient is used to indicate the degree of cooperation between the enterprise and the school and students; The formula for the closeness coefficient of enterprise cooperation is: In the formula, C Bi is the close cooperation coefficient of the i-th enterprise, I cu is the total amount of capital currently invested by the enterprise, I total is the total amount of funds that the enterprise plans to invest, T guide is the duration of guidance given by the current enterprise mentor, T total The duration of guidance for the enterprise mentor program, P num Provide the number of projects for the current enterprise, P max Provide the number of projects for the enterprise plan, C times is the current number of communications between the enterprise and the school, C max Plan the number of communications between the enterprise and the school; Based on the pre-processed enterprise participation data, the enterprise participation index is calculated according to the set enterprise participation index formula. The enterprise participation index is used to evaluate the degree of participation of enterprises in the practical teaching of industry-education integration, and the calculation results are stored on the blockchain; The enterprise participation index formula is: In the formula, is the i-th enterprise participation index, Preset the practical teaching target achievement rate for the i-th enterprise, is the actual achievement rate of the practical teaching goal of the i-th enterprise, β1 is right The weight factor of right The weight factor of is the i-th enterprise participation health indicator, is the mean difference of students’ scores in the i-th enterprise practice project, is the student's poor performance in the i-th enterprise practice project, β3 is right The weight factor of is the interference index of the ith enterprise, β4 is right The weight factor of is the intensity of external interference currently faced by the i-th enterprise, is the intermediate tolerance value of the ith enterprise to the external interference intensity, is the frequency of the i-th enterprise's attention to current practical teaching, is the maximum frequency of attention paid by the i-th enterprise to practical teaching, is the resource allocation interference intensity in the cooperation between the i-th enterprise and the school, is the maximum tolerance value of the ith enterprise to the intensity of resource allocation interference, is the impact of the i-th enterprise practice project on the improvement of students’ professional ability, is the maximum impact that the ith enterprise expects to have on improving students’ professional abilities, and e is a natural constant.

5. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: Obtaining student learning outcome indicators involves the following steps: Based on the pre-processed current data of industry-education integration, student learning data is obtained and pre-processed, and the pre-processed student learning data is stored on the blockchain; Calculate the student learning status coefficient at the student level according to the set student learning status coefficient formula, and the student learning status coefficient is used to evaluate the current learning status of students in the industry-education integration practical teaching; The student learning status coefficient formula is: In the formula, is the learning status coefficient of the jth course of the pth student, K score It takes time for current students to master knowledge, K max The longest time to master theoretical knowledge, P score It takes time for students to practice, max The longest practical operation time is A. score is the number of times students participate in learning activities, A max The maximum number of times to participate in learning activities for the theory; Based on the pre-processed student learning data, the student learning outcome index is calculated according to the set student learning outcome index formula. The student learning outcome index is used to evaluate the student's learning outcomes in the industry-education integration practical teaching, and the calculation results are stored on the blockchain; The student learning outcome indicator formula is: In the formula, is the learning outcome indicator of the jth course for the pth student, is the completion time of the theoretical examination of the jth course for the pth student, is the number of times the p-th student has completed the practical results of the j-th course, γ1 is right The weight factor of The weight factor for the pair.

6. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: The current way to obtain the degree of completion of practical tasks, the rate of improvement of knowledge and skills, and the degree of professional quality development of teaching interaction is as follows: Based on the preprocessed current data of industry-education integration, practical task data, student knowledge and skill level data, and student professional quality level data are obtained, and preprocessed to obtain the preprocessed practical task data, student knowledge and skill level data, and student professional quality level data; Based on the pre-processed practical task data, students' knowledge and skills level data, and students' professional quality level data, the practical task completion index, knowledge and skills improvement rate index, and professional quality development index are obtained through the practical task completion index formula, knowledge and skills improvement rate index formula, and professional quality development index formula respectively; The practical task completion index formula is: Where V PT is the practice task completion index, PT m is the duration of completing the practical task after the mth teaching interaction, m = 1, 2, ..., n, n is the total number of teaching interactions, is the average number of practical tasks completed corresponding to the history teaching interaction; The formula for the knowledge and skills improvement rate index is: In the formula, R KS is the knowledge and skills improvement rate index, KS0 is the number of students’ knowledge and skills mastered before teaching interaction, and KS t KS is the amount of knowledge and skills currently mastered by students after teaching interaction. max is the theoretical maximum number of knowledge and skills to be mastered, and e is a natural constant; The professional quality development index formula is: Where P PD is the professional literacy development index, PD0 is the type of professional literacy mastered by students before teaching interaction, PD t The types of professional literacy mastered by current students after teaching interaction, PD max It is the most theoretical professional quality master type.

7. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: The teaching quality evaluation index is analyzed based on the degree of completion of practical tasks, the rate of knowledge and skills improvement, and the degree of professional quality development, including the following steps: Pre-processing is performed based on the obtained completion of practical tasks, knowledge and skills improvement rate, and professional quality development degree; Based on the completion degree of pre-processed practical tasks, the rate of knowledge and skills improvement, and the degree of professional quality development, the teaching quality evaluation index is calculated according to the set teaching quality evaluation index formula. The teaching quality evaluation index is used to evaluate the quality of teaching, and the calculation process and results are stored in the blockchain.

8. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: The teaching quality evaluation index formula is: QI=μ1*V PT +μ2*R KS +μ3*P PD ; In the formula, QI is the teaching quality evaluation index, V PT is the practice task completion index, R KS is the knowledge and skills improvement rate index, P PD is the professional quality development index, μ1 is V PT The weighting factor for QI, μ2 is R KS The weight factor for QI, μ3 is P PD Weighting factor for QI.

9. The blockchain-based industry-education integration practical teaching interactive method as claimed in claim 1, characterized in that: The construction of the teaching effect attenuation prediction model includes the following steps: Obtain the school teaching effect indicators, enterprise participation indicators, student learning outcome indicators, teaching quality evaluation index, and teaching effect attenuation results corresponding to the historical industry-education integration practical teaching, and perform preprocessing; The pre-processed school teaching effect indicators, enterprise participation indicators, student learning outcome indicators, teaching quality evaluation index, and teaching effect attenuation results are divided into training sets and test sets, respectively, and the training sets and test sets are stored on different nodes of the blockchain; The preprocessed school teaching effect index, enterprise participation index, student learning outcome index, and teaching quality evaluation index are used as input data, and the teaching effect attenuation results are used as output data. A preliminary teaching effect attenuation prediction model is constructed through support vector machine. The preliminary teaching effect attenuation prediction model is tested based on the test set to obtain the teaching effect attenuation prediction model.

10. A blockchain-based industry-education integration practical teaching interactive system, used to implement a blockchain-based industry-education integration practical teaching interactive method as described in any one of claims 1-9, characterized in that: include: Data acquisition module, indicator calculation module, teaching quality assessment module, model building module: The data acquisition module is used to acquire the current data of the industry-education integration practical teaching and perform preprocessing to obtain the preprocessed current data of the industry-education integration; The indicator calculation module is used to obtain the school teaching effect indicator, enterprise participation indicator, and student learning achievement indicator of the current teaching interaction based on the pre-processed current data of industry-education integration; The teaching quality evaluation module is used to obtain the degree of completion of the practical tasks, the rate of improvement of knowledge and skills, and the degree of professional quality development of the current teaching interaction based on the pre-processed current data of industry-education integration; based on the degree of completion of the practical tasks, the rate of improvement of knowledge and skills, and the degree of professional quality development, the teaching quality evaluation index is obtained, and the teaching quality evaluation index is used to evaluate the quality of the current industry-education integration practical teaching; The model building module is used to build a teaching effect attenuation prediction model based on the school teaching effect indicators, enterprise participation indicators, student learning outcome indicators, and teaching quality evaluation index corresponding to the historical industry-education integration practical teaching.

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