Online accounting course quality evaluation method and device and storage medium

Abstract

The invention relates to the technical field of course quality evaluation, in particular to an online financial and accounting course quality evaluation method and device and a storage medium, and the method comprises the steps: collecting target financial and accounting course information and user feedback information of a target financial and accounting course, setting a user subjective score according to the user feedback information of the target financial and accounting course, an accounting criterion text is collected in real time, a target course synchronization rate is extracted according to the accounting criterion text and a course accounting criterion text, then a course aging score is set based on the target course synchronization rate, and practical operation features of a target accounting course are extracted based on a practical operation item result of a user. And according to practical operation characteristics of the target financial and accounting course, course weak chapters are judged, course practical operation scores are set, quality scores of the target financial and accounting course are constructed, and an evaluation result of the target financial and accounting course is obtained. According to the invention, the evaluation efficiency of the online accounting course is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of course quality assessment technology, and in particular to an online accounting course quality assessment method, apparatus, and storage medium. Background Technology

[0002] Existing online course quality assessment methods mostly rely on subjective user feedback or comparisons with similar courses, which have the following problems: dependence on benchmark courses of the same type, single data dimensions, and static evaluation models, making them difficult to adapt to the quality assessment of accounting courses in the current environment.

[0003] Therefore, there is an urgent need for a teaching quality assessment scheme suitable for real-time dynamic evaluation of accounting courses, which can combine industry-specific data with learning behavior analysis to improve the objectivity and practicality of the assessment. Summary of the Invention

[0004] The purpose of this invention is to provide an online accounting course quality assessment method, apparatus, and storage medium to solve at least one of the problems existing in the prior art.

[0005] To achieve the above objectives, according to one aspect of this application, the present invention provides a method for evaluating the quality of online accounting courses, comprising:

[0006] Set up subjective user ratings based on user feedback information from the target accounting courses;

[0007] Real-time collection of accounting standards texts, and extraction of target course synchronization rate based on accounting standards texts and course accounting standards texts, and then setting course timeliness scores based on target course synchronization rate;

[0008] Based on the results of users' practical projects, the practical characteristics of the target accounting course are extracted, and the weak chapters of the course are identified based on the practical characteristics of the target accounting course, and then the course practical scores are set.

[0009] A quality score for the target accounting course is constructed by weighting the course practical assessment, course timeliness assessment, and user subjective assessment. The evaluation result of the target accounting course is obtained by comparing the quality score results with a threshold.

[0010] Optionally, learning metrics are set to filter two types of target users. The filtering process is as follows: when the user's effective viewing time is less than the duration metric, the user is classified as a second type of target user; when the user's average attention shift time is greater than the shift metric, the user is classified as a second type of target user; otherwise, the user is classified as a first type of target user.

[0011] Based on the screening results, the learning quality score for each type of target user is set as α(i);

[0012] Collect the average ratings of users for the target accounting course and record them as ds;

[0013] The mean learning quality score of a group of users is calculated and denoted as pα.

[0014] Set the user's subjective rating as α.

[0015] Optionally, the text of accounting standards can be collected in real time, and the target course synchronization rate can be extracted based on the text of accounting standards and the course accounting standards. Then, the course timeliness score can be set based on the target course synchronization rate.

[0016] Optionally, the accounting standards text and the course accounting standards text are matched, and the difference rate and missing rate of the target accounting course information are calculated. The difference rate is denoted as μ1 and the missing rate is denoted as μ2.

[0017] Set a target course synchronization rate v, and use the target course synchronization rate as the object to set a synchronization rate threshold to determine whether the course timeliness is qualified. Then, when the course timeliness is qualified, the course timeliness score is set to β, and β = {[v - synchronization rate threshold] / v × 10}.

[0018] Optionally, the error rate of each sub-item in the practical project can be calculated, and an error rate judgment threshold can be set to identify abnormal sub-items by numerical comparison.

[0019] The abnormal sub-projects are taken as the practical characteristics of the target accounting course, and the target video chapters corresponding to the practical characteristics of the target accounting course are taken as the weak chapters of the course.

[0020] Based on the practical error rate of the target accounting course, a practical assessment γ is set for the practical course.

[0021] In the formula, z(k) represents the practical error rate of the kth sub-item in the practical project, and z(j) represents the practical error rate of the jth abnormal sub-item in the practical project.

[0022] Optionally, set the quality rating of the target accounting course as a Score;

[0023] The quality scores of the target accounting courses are graded and evaluated, and the evaluation results of the target accounting courses are divided into: Level 1 quality courses, Level 2 quality courses, Level 3 quality courses, and unqualified courses.

[0024] Optionally, the case matching degree is extracted from the case text of the practical project, and the preset practical weight b3 is updated according to the case matching degree. The preset practical weight is updated to b3', and b3' = b3 × exp{case matching degree / 10} is set.

[0025] Then, based on the updated preset practical weight b3', the preset subjective weight and preset timeliness weight are updated, and the updated preset subjective weight and preset timeliness weight are set to b1' and b2' respectively.

[0026] Optionally, no adjustment is made when the user's CPA pass rate is equal to the average pass rate; when the user's CPA pass rate is lower or higher than the average pass rate, the updated preset subjective weight is adjusted to Tb1, and Tb1 = b1' × exp(h - ph); where h is the user's CPA pass rate and ph is the average pass rate.

[0027] Then the preset timeliness weight is adjusted to Tb2.

[0028] According to another aspect of this application, a machine learning-based internal combustion engine generator set control device is provided, comprising:

[0029] The data acquisition unit is used to: collect information about the target accounting courses and user feedback information about the target accounting courses;

[0030] The subjective rating unit is used to: set subjective user ratings based on user feedback information for the target accounting course;

[0031] The timeliness scoring unit is used to: collect accounting standards texts in real time, extract the target course synchronization rate based on the accounting standards texts and the course accounting standards texts, and then set the course timeliness score based on the target course synchronization rate;

[0032] The practical assessment unit is used to: extract the practical characteristics of the target accounting course based on the user's practical project results, and determine the weak chapters of the course based on the practical characteristics of the target accounting course, and then set the practical assessment score for the course.

[0033] The quality assessment unit is used to: construct a quality score for the target accounting course based on the course practical assessment score, the course timeliness assessment score, and the user subjective assessment score in a weighted manner, and obtain the assessment result of the target accounting course based on the quality score results by threshold comparison.

[0034] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, wherein the computer program is used to control the electronic device on which the computer-readable storage medium is located to perform the online accounting course quality assessment method during runtime.

[0035] Compared with existing technologies, the beneficial effects of this invention are: integrating multi-dimensional data collection, dynamic update mechanisms and scientific scoring models, significantly improving the efficiency and accuracy of online accounting course evaluation, and helping to continuously optimize course quality and enhance competitiveness. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating the online accounting course quality assessment method in this embodiment.

[0038] Figure 2 This is a flowchart illustrating the user subjective rating construction method in this embodiment.

[0039] Figure 3 This is a flowchart illustrating the method for constructing course timeliness scores in this embodiment.

[0040] Figure 4 This is a flowchart illustrating the method for evaluating the target accounting course in this embodiment.

[0041] Figure 5 This is a schematic diagram of the online accounting course quality assessment device provided in this embodiment. Detailed Implementation

[0042] To more clearly illustrate the present invention, the following description, in conjunction with preferred embodiments and accompanying drawings, further explains the invention. Similar components in the drawings are indicated by the same reference numerals. Those skilled in the art should understand that the specific description below is illustrative rather than restrictive and should not be construed as limiting the scope of protection of the present invention.

[0043] It should be noted that although the terms first, second, third, etc., may be used in the embodiments of this application for description, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of this application, first can also be referred to as second, and similarly, second can also be referred to as first.

[0044] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0045] Specifically, the online accounting course quality assessment method described in this application is applied to the quality assessment of online accounting courses. The assessment method for online accounting courses described in this application specifically includes: user attention dimension assessment, user performance dimension assessment, and accounting course timeliness assessment.

[0046] Optionally, the online accounting courses described in this application specifically include video lectures and practical projects. When evaluating the quality of the online accounting courses, they need to be evaluated by type, and finally a comprehensive evaluation should be conducted using a weighted approach.

[0047] Based on the above application scenarios, this application provides Figure 1 The method for assessing the quality of online accounting courses, as shown, includes:

[0048] Step S101: Collect target accounting course information and user feedback information for the target accounting course; the target accounting course information includes target video chapter courses, practical projects, and course accounting principles text; the target accounting course user feedback information includes user feedback course ratings and user practical project scores; the course accounting principles text is a collection of accounting principles and tax regulations texts taught in the target course information; the practical projects include multiple sub-projects.

[0049] For example, the collection of the target accounting course information and user feedback information of the target accounting course in this application is carried out through the server of the online course platform; the user mentioned in this application is a student who studies the target accounting course.

[0050] Please continue reading. Figure 1 As shown, the online accounting course quality assessment method also includes:

[0051] Step S102: Set subjective user ratings based on user feedback information for the target accounting course; setting subjective ratings based on user feedback directly reflects students' satisfaction with the course content, helps identify the course's strengths and weaknesses, and optimizes instructional design and user experience.

[0052] Please see Figure 2 As shown, in order to achieve the accurate construction of user subjective ratings as described above, this application provides a method for constructing user subjective ratings, including:

[0053] Step S201: Collect the viewing records of each user; the user's viewing records include the user's effective viewing time and the user's attention shift time; the user's effective viewing time is the time the user watches the video without dragging the video progress and at a video playback speed of 1x; the user's attention shift time is calculated by inserting a user passive operation requirement interface into the target video chapter course, calculating the difference between the appearance time of the user passive operation requirement interface and the user's operation time, and using the difference result as the user's attention shift time;

[0054] Step S202: Set a learning quality score based on each user's viewing history;

[0055] Specifically, the process of setting the learning quality score for each user in step S202 of this application is as follows:

[0056] Learning metrics were set to filter out two types of target users. The filtering process was as follows: when the user's effective viewing time was less than the duration metric, the user was classified as a second-type target user; when the user's average attention shift time was greater than the shift metric, the user was classified as a second-type target user; otherwise, the user was classified as a first-type target user.

[0057] The average user attention offset duration is the average of the user attention offset duration of each target video chapter in the target accounting course information;

[0058] Based on the screening results, the learning quality score of each type of target user is set as α(i), and α(i) = r(i) / p(i);

[0059] In the formula, r(i) represents the effective viewing time of the i-th user, and p(i) is the average attention shift time of the i-th user.

[0060] It is understood that the learning metrics include duration metrics and offset metrics; by selecting valid user data to set learning quality scores, invalid and interfering information is eliminated, enhancing the credibility and relevance of the scores, and ensuring that the evaluation results are true and valid.

[0061] For example, the duration indicator mentioned in this application is 10% of the total duration of the target video chapter course. In this application, the term "second-class target users" refers to students who are not currently taking the accounting course. If the effective viewing time is less than the duration indicator, then the user cannot learn the content of the current accounting course and the low viewing time is not due to the quality of the course. Therefore, the data of such users is considered invalid data.

[0062] Step S203: Based on each user's learning quality score and user feedback information for the target accounting course, construct a user subjective score using a weighted allocation method.

[0063] Specifically, in step S203, the process of constructing user subjective ratings is as follows:

[0064] Collect the average ratings of users for the target accounting course and record them as ds;

[0065] The mean learning quality score of a group of users is calculated and denoted as pα.

[0066] Let the user's subjective rating be α, and set α = c1 × ds + c2 × pα;

[0067] In the formula, c1 is the subjective weight, c2 is the objective weight, and c1+c2=1.

[0068] Specifically, in step S203, subjective user ratings and objective learning data are integrated to balance the impact of subjective and objective factors on course evaluation, forming a more comprehensive subjective user rating system.

[0069] Please continue reading. Figure 1 As shown, the online accounting course quality assessment method also includes:

[0070] Step S103: Collect accounting standards texts in real time, and extract the target course synchronization rate based on the accounting standards texts and the course accounting standards texts, and then set the course timeliness score based on the target course synchronization rate; the accounting standards texts are a collection of accounting standards and tax regulations texts issued by the Ministry of Finance collected in real time; collect accounting standards texts in real time and compare them with course content, dynamically update the course timeliness score, and ensure that the course content keeps up with industry policies and standards to avoid knowledge lag or deviation.

[0071] Please see Figure 3 As shown, this is a flowchart illustrating a method for constructing a course timeliness score to achieve the aforementioned course timeliness score setting, comprising:

[0072] Step S301: Collect accounting standards text in real time.

[0073] For example, the accounting standards texts in this application can be obtained from the official website of the State Council; the accounting standards texts issued by the Ministry of Finance can be obtained in real time, and policy updates can be dynamically tracked to ensure the compliance and timeliness of the course content and meet industry needs.

[0074] Please continue reading. Figure 3 As shown, the method for constructing course effectiveness scores also includes:

[0075] Step S302: Extract the target course synchronization rate based on the accounting standards text and the course accounting standards text, and then set the course timeliness score based on the target course synchronization rate.

[0076] Specifically, the text of accounting standards and the text of accounting standards for the course are matched, and the difference rate and missing rate of the target accounting course information are calculated. The difference rate is denoted as μ1 and the missing rate is denoted as μ2.

[0077] Then, set the target course synchronization rate v, and set v = a1×μ1 + a2×μ2;

[0078] In the formula, a1 is the difference weight, a2 is the missing weight, a1+a2=1, and a1>a2;

[0079] Using the target course synchronization rate as the object, a synchronization rate threshold is set to determine whether the course timeliness is qualified. When the course timeliness is qualified, the course timeliness score is set to β, and β = {[v - synchronization rate threshold] / v × 10}.

[0080] It is understood that the matching process in this application, which involves "matching the accounting standards text with the course accounting standards text and calculating the difference rate and missing rate of the target accounting course information," can be implemented using Natural Language Processing (NLP) technology. Specifically, this process utilizes existing publicly available technical means, matching each accounting standard in the accounting standards text with the course accounting standards text using NLP technology until the accounting standards text is fully analyzed. This completes the process of "calculating the difference rate and missing rate of the target accounting course information." It is worth noting that the difference rate mentioned in this application refers to the proportion of standards in the course accounting standards text that differ from those in the accounting standards text; the missing rate refers to the proportion of standards in the course accounting standards text that are actually present in the accounting standards text.

[0081] For example, this application does not specifically limit the value of the synchronization rate threshold. Those skilled in the art can set it freely, as long as the value requirement of the synchronization rate threshold is met. In this application, the optimal value of the synchronization rate threshold is set to 90%. At the same time, the process of "judging whether the timeliness of the course is qualified" is as follows: when the synchronization rate of the target course is less than or equal to the synchronization rate threshold, it is determined to be unqualified. At this time, a signal that the target accounting course is outdated is sent to the user. The course synchronization rate is calculated by the difference rate and the missing rate to quantify the degree of matching between the course and the latest standards, and to support the rapid adjustment of teaching content to meet the standards.

[0082] Please continue reading. Figure 1 As shown, the online accounting course quality assessment method also includes:

[0083] Step S104: Extract the practical features of the target accounting course based on the results of the user's practical projects, and determine the weak chapters of the course based on the practical features of the target accounting course, and then set the course practical score; the practical features are the result features of the user's practical projects in the target accounting course.

[0084] Specifically, the process of extracting users' practical characteristics is as follows:

[0085] The error rate of each sub-item in the practical project is statistically analyzed, and an error rate judgment threshold is set to identify abnormal sub-items by numerical comparison.

[0086] The abnormal sub-projects are taken as the practical characteristics of the target accounting course, and the target video chapters corresponding to the practical characteristics of the target accounting course are taken as the weak chapters of the course.

[0087] Based on the practical error rate of the target accounting course, a practical assessment γ is set for the practical course.

[0088] In the formula, z(k) represents the error rate of the kth sub-item in the practical project, z(j) represents the error rate of the jth abnormal sub-item in the practical project, and K is the number of sub-items in the practical project.

[0089] For example, this application does not specifically limit the value of the error rate judgment threshold. Those skilled in the art can set it freely, as long as the value requirement of the error rate judgment threshold is met. In this application, the optimal value of the error rate judgment threshold is set to 30%. At the same time, the process of "determining abnormal sub-items by numerical comparison" is as follows: sub-items below the error rate judgment threshold are set as normal sub-items, and sub-items above or equal to the error rate judgment threshold are set as abnormal sub-items. By analyzing the error rate of practical projects, weak chapters of the course are extracted, teaching difficulties are accurately located, the course design is optimized in a targeted manner, and students' practical ability and learning effect are improved.

[0090] Please continue reading. Figure 1 As shown, the online accounting course quality assessment method also includes:

[0091] Step S105: Construct a quality score for the target accounting course based on the course practical assessment, course timeliness assessment, and user subjective assessment using a weighted approach. Obtain the evaluation result of the target accounting course by comparing the quality score results with a threshold. By combining subjective and objective assessments using a weighted approach, a multi-dimensional quality assessment model is constructed to scientifically quantify the course quality level and provide a clear basis for decision-making.

[0092] Please see Figure 4 As shown, it is a flowchart illustrating the assessment method for the target accounting course described in this application, including:

[0093] Step S501: Construct a quality score for the target accounting course based on the course practical assessment score, course timeliness score, and user subjective assessment score in a weighted manner, and obtain the evaluation result of the target accounting course based on the quality score results by threshold comparison.

[0094] Specifically, the process of constructing a quality assessment for the target accounting course is as follows:

[0095] Set the quality rating of the target accounting course as Score, and set Score = b1×α + b2×β + b3×γ;

[0096] In the formula, b1 is the preset subjective weight, b2 is the preset timeliness weight, b3 is the preset practical weight, and b1+b2+b3=1;

[0097] The quality scores of the target accounting course are graded to obtain the evaluation results: if the score is in the first score range, the target accounting course is evaluated as a first-level quality course; if the score is in the second score range, the target accounting course is evaluated as a second-level quality course; if the score is in the third score range, the target accounting course is evaluated as a third-level quality course; otherwise, the target accounting course is evaluated as a failing course.

[0098] The first-level rating range is [8.5, 10], the second-level rating range is [6, 8.5], and the third-level rating range is [5, 6].

[0099] For example, the preset subjective weight b1, preset timeliness weight b2, and preset practical weight b3 mentioned in this application are all initial weights, the values ​​of which are set by the user. The values ​​provided in this application are b1 = 40%, b2 = 40%, and b3 = 20%, respectively. The course is graded based on the quality score, and the course levels are intuitively divided (such as level one to level three), which makes it easier for users to quickly identify high-quality courses and improve selection efficiency.

[0100] Please continue reading. Figure 4 As shown, the method for evaluating the target accounting course also includes:

[0101] Step S502: Update the weight allocation process based on the case text of the practical project and the user's learning completion rate.

[0102] Specifically, the case matching degree is extracted from the case text of the practical project, and the preset practical weight b3 is updated according to the case matching degree. The preset practical weight is updated to b3', and b3' = b3 × exp{case matching degree / 10} is set.

[0103] Then, based on the updated preset practical weight b3', the preset subjective weight and preset timeliness weight are updated, and the updated preset subjective weight and preset timeliness weight are set to b1' and b2' respectively, with b1' = b1 × (1-b3') / (b1 + b2) and b2' = b2 × (1-b3') / (b1 + b2).

[0104] For example, the specific process of "extracting case matching degree from case text of practical projects" in this application is as follows: input the case text of practical projects and the case text of actual business scenarios into a natural language processing model (NLP), perform word segmentation, keyword extraction, and word vector assignment respectively, and then calculate the cosine similarity between the case text of practical projects and the case text of actual business scenarios after the above operations, and use the cosine similarity as the case matching degree; dynamically update the weight parameters according to the case matching degree of practical projects to enhance the flexibility and adaptability of the evaluation model and ensure that the scoring system is iteratively optimized with actual needs.

[0105] Please continue reading. Figure 4 As shown, the method for evaluating the target accounting course also includes:

[0106] Step S503: Adjust the weight allocation process based on the user's CPA pass rate; the user's CPA pass rate refers to the proportion of users who pass the CAP exam.

[0107] Specifically, no adjustment is made when the user's CPA pass rate is equal to the average pass rate; when the user's CPA pass rate is lower or higher than the average pass rate, the updated preset subjective weight is adjusted to Tb1, and Tb1 = b1' × exp(h - ph); where h is the user's CPA pass rate and ph is the average pass rate.

[0108] Then the preset timeliness weight is adjusted to Tb2, and Tb2 = 1 - Tb1 - b3' is set.

[0109] It is understood that the average pass rate mentioned in this application is the current national average pass rate for CPA, which can be obtained from the website of the National Bureau of Statistics; by adjusting the weight allocation in conjunction with the CPA pass rate of students, the effectiveness of the course and the results of professional certification are correlated, thereby improving the practicality of the assessment and its guiding value for actual career development.

[0110] To enable the online accounting course quality assessment method to function in a computer, this application also provides a computer-readable storage medium, which is a tangible physical storage medium that can store the aforementioned computer program and various types of data used in the program; the physical storage medium includes, but is not limited to, existing physical storage media or combinations thereof, such as random access memory, read-only memory, optical disc, and hard disk.

[0111] Please see Figure 5 As shown, this application also provides an online accounting course quality assessment device, comprising:

[0112] The data acquisition unit 601 is used to: collect target accounting course information and user feedback information of the target accounting course;

[0113] Subjective rating unit 602 is used to: set user subjective ratings based on user feedback information of the target accounting course;

[0114] The timeliness scoring unit 603 is used to: collect accounting standards texts in real time, extract the target course synchronization rate based on the accounting standards texts and the course accounting standards texts, and then set the course timeliness score based on the target course synchronization rate;

[0115] The practical assessment unit 604 is used to: extract the practical characteristics of the target accounting course based on the user's practical project results, and determine the weak chapters of the course based on the practical characteristics of the target accounting course, and then set the practical assessment score for the course.

[0116] The quality assessment unit 605 is used to: construct a quality score for the target accounting course based on the course practical assessment score, the course timeliness assessment score, and the user subjective assessment score in a weighted manner, and obtain the assessment result of the target accounting course based on the quality score result by threshold comparison.

[0117] The online accounting course quality assessment device provided in this application embodiment can execute the online accounting course quality assessment method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects of the method execution.

[0118] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for evaluating the quality of online accounting courses, characterized in that, include: Set up subjective user ratings based on user feedback information from the target accounting courses; Real-time collection of accounting standards texts, and extraction of target course synchronization rate based on accounting standards texts and course accounting standards texts, and then setting course timeliness scores based on target course synchronization rate; Based on the results of users' practical projects, the practical characteristics of the target accounting course are extracted, and the weak chapters of the course are identified based on the practical characteristics of the target accounting course, and then the course practical scores are set. A quality score for the target accounting course is constructed by weighting the course practical assessment, course timeliness assessment, and user subjective assessment. The evaluation result of the target accounting course is obtained by comparing the quality score results with a threshold.

2. The online accounting course quality assessment method according to claim 1, characterized in that, Learning metrics were set to filter out two types of target users. The filtering process was as follows: when the user's effective viewing time was less than the duration metric, the user was classified as a second-type target user; when the user's average attention shift time was greater than the shift metric, the user was classified as a second-type target user; otherwise, the user was classified as a first-type target user. Based on the screening results, the learning quality score for each type of target user is set as α(i); Collect the average ratings of users for the target accounting course and record them as ds; The mean learning quality score of a group of users is calculated and denoted as pα. Set the user's subjective rating as α.

3. The online accounting course quality assessment method according to claim 1, characterized in that, Real-time collection of accounting standards texts; extraction of target course synchronization rate based on accounting standards texts and course accounting standards texts; and setting course timeliness scores based on target course synchronization rate.

4. The online accounting course quality assessment method according to claim 3, characterized in that, The text of accounting standards and the text of accounting standards in the course are matched, and the difference rate and missing rate of the target accounting course information are calculated. The difference rate is denoted as μ1 and the missing rate is denoted as μ2. Set a target course synchronization rate v, and use the target course synchronization rate as the object to set a synchronization rate threshold to determine whether the course timeliness is qualified. Then, when the course timeliness is qualified, the course timeliness score is set to β, and β = {[v - synchronization rate threshold] / v × 10}.

5. The online accounting course quality assessment method according to claim 4, characterized in that, The error rate of each sub-item in the practical project is statistically analyzed, and an error rate judgment threshold is set to identify abnormal sub-items by numerical comparison. The abnormal sub-projects are taken as the practical characteristics of the target accounting course, and the target video chapters corresponding to the practical characteristics of the target accounting course are taken as the weak chapters of the course. Based on the practical error rate of the target accounting course, a practical assessment γ is set for the practical course. In the formula, z(k) represents the practical error rate of the kth sub-item in the practical project, and z(j) represents the practical error rate of the jth abnormal sub-item in the practical project.

6. The online accounting course quality assessment method according to claim 1, characterized in that, Set the quality rating of the target accounting course as a Score; The quality scores of the target accounting courses are graded and evaluated, and the evaluation results of the target accounting courses are divided into: Level 1 quality courses, Level 2 quality courses, Level 3 quality courses, and unqualified courses.

7. The online accounting course quality assessment method according to claim 6, characterized in that, Extract case matching degree from case text of practical project, update the preset practical weight b3 according to case matching degree, update the preset practical weight to b3', and set b3' = b3 × exp{case matching degree / 10}; Then, based on the updated preset practical weight b3', the preset subjective weight and preset timeliness weight are updated, and the updated preset subjective weight and preset timeliness weight are set to b1' and b2' respectively.

8. The online accounting course quality assessment method according to claim 7, characterized in that, No adjustment is made when the user's CPA pass rate is equal to the average pass rate; when the user's CPA pass rate is lower or higher than the average pass rate, the updated preset subjective weight is adjusted to Tb1, and Tb1 = b1' × exp(h - ph); where h is the user's CPA pass rate and ph is the average pass rate. Then the preset timeliness weight is adjusted to Tb2.

9. An online accounting course quality assessment device, characterized in that, include: The data acquisition unit is used to: collect information about the target accounting courses and user feedback information about the target accounting courses; The subjective rating unit is used to: set subjective user ratings based on user feedback information for the target accounting course; The timeliness scoring unit is used to: collect accounting standards texts in real time, extract the target course synchronization rate based on the accounting standards texts and the course accounting standards texts, and then set the course timeliness score based on the target course synchronization rate; The practical assessment unit is used to: extract the practical characteristics of the target accounting course based on the user's practical project results, and determine the weak chapters of the course based on the practical characteristics of the target accounting course, and then set the practical assessment score for the course. The quality assessment unit is used to: construct a quality score for the target accounting course based on the course practical assessment score, the course timeliness assessment score, and the user subjective assessment score in a weighted manner, and obtain the assessment result of the target accounting course based on the quality score results by threshold comparison.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program is used to control the electronic device on which the computer-readable storage medium is located to perform the online accounting course quality assessment method according to any one of claims 1-8 during runtime.

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