A biological scientific research training system and equipment based on virtual laboratory

Abstract

The present application relates to the technical field of teaching systems, and specifically to a biological scientific research training system and equipment based on a virtual laboratory. It includes a mind map design module: used to receive the user's biological experiment plan design operation instructions and execute to obtain the experimental process plan; a virtual experiment construction module: used to receive the user's experimental element selection instructions and experimental construction instructions and execute them in the construction interface to obtain the virtual experimental process; a field experiment data collection module: used to receive the experimental data in the field experiment uploaded by the user; a training result evaluation module: used to evaluate the user's experimental process plan in the thinking design module or the virtual experimental process of the virtual experiment module or the experimental data of the actual experimental data module to obtain the training results. It solves many difficulties and drawbacks in traditional biological experimental teaching, such as making up for the shortcomings of insufficient pre-class preparation for offline experimental courses, insufficient training in experimental design thinking, and lack of process evaluation indicators, and has great application value.

Description

Technical Field

[0001] The present application relates to the technical field of teaching systems, and in particular to a biological scientific research training system and equipment based on a virtual laboratory. Background Art

[0002] Biology is an experimental subject, and experimental teaching covers the entire process of talent training and scientific research. There is a close and mutually reinforcing relationship between undergraduate scientific research training and experimental teaching in life sciences. As an important part of teaching activities, experimental teaching is a key link for students to intuitively understand and actually operate classroom theoretical knowledge. Scientific research training focuses more on cultivating students' scientific research literacy, innovative thinking and practical ability, so that they can participate in scientific research projects and solve practical problems. Many domestic universities have tried to strengthen scientific research thinking training in experimental teaching.

[0003] Traditional biology experimental teaching is mainly teacher-centered. The teaching process includes classroom lectures + experimental operations. The course is often limited by the experimental space and student class hours. Students do not prepare for the experiment before class. At the same time, in order to let students see obvious experimental effects in class, the experimental design is often based on verification experiments. Students often just complete the experimental operation steps in a "task completion mode" and "follow the prescription". The experimental design is basically handed over to teachers and teaching assistants. As for the scientific research thinking training process, it is limited by the class hours and is completely passively infiltrated by the main teacher. If the experimental class hours are compressed, the first two parts to be cut are also the experimental design and scientific research thinking training. In traditional experimental teaching, the evaluation criteria for student learning effects often only focus on experimental results, lacking process evaluation indicators. Summary of the invention

[0004] In view of the above problems, the present invention proposes a biological research training system based on a virtual laboratory, which specifically includes:

[0005] Mind map design module: used to receive the user's biological experiment plan design operation instructions and execute them to obtain the experimental process plan;

[0006] Virtual experiment building module: The virtual experiment building module includes an experimental element library and an experimental platform process building interface, which is used to receive the user's experimental element selection instructions and experimental building instructions and execute them on the building interface to obtain the virtual experiment process;

[0007] Field experiment data collection module: used to receive experimental data from field experiments uploaded by users;

[0008] Training evaluation: used to evaluate the user's experimental process plan in the mind map design module, the virtual experiment process in the virtual experiment construction module, or the experimental data in the field experiment data collection module to obtain training results.

[0009] Furthermore, the training evaluation includes a program design evaluation module, a virtual experiment evaluation module, and a field experiment evaluation module;

[0010] Optionally, the scheme design evaluation module is used to evaluate the experimental process scheme;

[0011] Optionally, the experimental process scheme is evaluated by determining whether the composition of the process includes a necessary functional description;

[0012] Optionally, the virtual experiment evaluation module includes a process evaluation module, and the process evaluation module performs evaluation by comparing the similarities between the experimental process scheme and the preset process scheme;

[0013] Optionally, the preset process plan includes necessary experimental steps or necessary experimental equipment or necessary experimental materials or experimental parameter records;

[0014] Optionally, the virtual experiment evaluation module further includes an experiment parameter evaluation module, and the experiment parameter evaluation module performs evaluation by comparing the difference between the experiment parameters and the preset parameters;

[0015] Optionally, the experimental parameters include one or more of the following: working parameters of experimental equipment, configuration of experimental reagents, time of the intermediate process of the experiment, experimental temperature, experimental humidity, experimental light intensity, processing method of experimental materials, quantity or weight of experimental materials, and conditions for the occurrence of the experiment;

[0016] Optionally, the preset parameters include one or more of the following: a ratio of experimental reagents, a range of experimental equipment working parameters, a range of experimental intermediate process time, a range of experimental temperature, a range of experimental humidity, and a range of experimental light intensity;

[0017] Optionally, the field experiment evaluation module determines whether to record necessary experiment node data and / or obtain final experiment results based on the uploaded experiment data;

[0018] Optionally, the virtual experiment evaluation module and the field experiment evaluation module also include evaluations of the experiment completion and the experiment correctness.

[0019] The experimental elements in the experimental element library are displayed on the building interface through selection instructions, and the virtual experimental process is obtained by combining the experimental elements through building instructions;

[0020] Optionally, the experimental elements include one or more of the following: laboratory equipment, low-value consumables, experimental materials, and database-type components;

[0021] Optionally, the experimental materials include one or more of the following: commonly used reagents, bacterial strains, cell lines, mutants, gene signatures;

[0022] Optionally, the experimental element includes an element attribute module, which is used to receive an attribute selection instruction to select an attribute of the experimental element;

[0023] Optionally, the steps of completing the experiment by the virtual experiment building module through the experiment process are:

[0024] Step 1: Receive the user's virtual experiment construction instructions and execute to display the experimental element library interface and construction interface;

[0025] Step 2: The experimental elements in the experimental element library interface are displayed in the building interface after receiving a selection instruction or a drag instruction;

[0026] Step 3: After the experimental element in the construction interface receives the attribute selection instruction, the element attribute is displayed and the element attribute is determined by the determination instruction to obtain the experimental element with the confirmed element attribute;

[0027] Step 4: the experimental element that confirms the element attribute receives the connection instruction and connects the experimental element to obtain a virtual experimental process;

[0028] Optionally, the execution order of element attribute confirmation and element connection of the experimental process construction includes any one or more of the following: loop execution, sequential execution, and random execution;

[0029] Optionally, the virtual experiment building module performs a virtual experiment by selecting experimental elements, attributes of experimental elements and relationships between experimental elements in the experimental process through semantic building;

[0030] Optionally, the semantic construction displays an input interface after receiving a user's semantic construction instruction, the input interface includes an experimental element input module, an element attribute input module, and an experimental element relationship input module, and obtains a semantic virtual experiment process by confirming the instruction output;

[0031] Optionally, the virtual experiment building module includes an error prompt module, and the error prompt module is used for prompting element attribute selection errors or experimental element connection errors during the experiment flow building or semantic building process;

[0032] Optionally, the virtual experiment building module also includes an information recording module for recording data of the virtual experiment process;

[0033] Optionally, the data includes one or more of the following: experimental element selection data, element attribute selection data, experimental error prompt data;

[0034] Optionally, the virtual experiment building module also includes a data export module for exporting one or more of the following data: virtual experiment process data, data of the information recording module.

[0035] The biological research training system based on the virtual laboratory also includes a scheme adjustment module. When the virtual experiment building module receives an experimental step refinement instruction or an experimental step modification instruction during the experiment building, the scheme adjustment module saves the node of the current virtual experiment, jumps to the mind map design module for adjustment to obtain an adjusted experimental process scheme, and returns to the node of the virtual experiment to build the virtual experiment after receiving the adjustment completion instruction;

[0036] Optionally, the mind map design module includes a solution export module, which is used to export the experimental process solution after receiving a solution export instruction.

[0037] The field experiment data collection module includes a data storage module, which receives and saves the experimental data uploaded by the user;

[0038] Optionally, the experimental data may be in the form of one or more of the following: text, table, picture;

[0039] Optionally, the data storage module includes a structure storage module for storing experimental data in a structured manner;

[0040] Optionally, the structuring includes any one of the following: a sequence structure, a process structure, and a tree structure;

[0041] Optionally, the process structure generates process nodes by receiving a framework of the experimental process, and stores the received experimental data in the selected nodes;

[0042] Optionally, the field experiment module further includes a multi-person collaborative sharing module for reviewing the experiment process or experiment data and commenting on the experiment content;

[0043] Optionally, the field experiment module further includes a comment reminder module for reminding the occurrence of comment information.

[0044] The biological research training system based on the virtual laboratory also includes a data sorting module, which is used to sort the data of the virtual experiment building module and / or the field experiment module to obtain an experiment report;

[0045] Optionally, the data sorting module includes a template module, the template module includes N report templates, N is a natural number greater than 1, and a template experiment report is obtained by receiving a template selected by a template selection instruction;

[0046] Optionally, the data sorting module further includes a customization module for customizing the experimental report, by receiving a custom selection instruction to select the experimental steps and experimental results and then combining them to obtain an experimental operation document, and then receiving an editing instruction to edit and adjust the experimental operation document to obtain a customized experimental report;

[0047] Optionally, the data sorting module further includes a sorted data exporting module for exporting a template experimental report or a customized experimental report;

[0048] Optionally, the data sorting module also includes a one-click export module for exporting experimental data, comments, attachments and experimental reports through the one-click export instruction.

[0049] The biological research training system based on the virtual laboratory also includes an excellent case review module, which receives data case sorting instructions to store the output data of the mind map design module, the virtual experiment construction module, and the field experiment data collection module as experimental case data to obtain an experimental database, and screens out experimental cases that meet the conditions based on the experimental database to obtain an excellent case library, which is used as material for experimental design review or experimental preview;

[0050] Optionally, the cases in the excellent case review module include the entire experimental process and data;

[0051] Optionally, the excellent case review module further includes a secondary design module for performing comprehensive experimental design, and performing experimental modification based on the experiments in the excellent case library to obtain a comprehensive experimental design scheme;

[0052] Optionally, the excellent case review module further includes a case export module for exporting the entire process and data of the case;

[0053] Optionally, the excellent case review module also includes an inspection module, which generates test questions of the experimental processing process based on the excellent cases for experimental theory testing.

[0054] The excellent case review module also includes a platform recognition analysis module, which performs big data analysis based on the data in the experimental database to obtain the user's recognition tendency for the platform;

[0055] Optionally, the recognition tendency is obtained by performing data analysis on the completion degree and function utilization rate of the experiment by users, and the platform function is optimized based on the analysis results.

[0056] The system also includes an experimental teaching evaluation module, which obtains experimental teaching evaluation results by evaluating the teaching effect of the experimental process plan, virtual experimental process, and experimental data;

[0057] Optionally, the teaching effect evaluation includes a completeness evaluation or a correctness evaluation of the experimental process plan, the virtual experimental process, and the field experimental process;

[0058] Optionally, the correctness evaluation includes one or more of the following: a thinking design scheme similarity score, a virtual experiment process similarity score, and an experiment report score;

[0059] Optionally, the completeness evaluation includes one or more of the following: experimental scheme matching degree and recommendation number, real-time feedback and discussion amount;

[0060] The biological scientific research training system based on the virtual laboratory also includes a problem feedback module, and the problem feedback module includes a platform problem feedback module, which is used to upload problems of the training platform through the platform problem feedback module;

[0061] Optionally, the problem feedback module further includes an experimental problem feedback module, which is used to upload the experimental problem through the experimental problem feedback module;

[0062] Optionally, the question feedback module includes a reply module for replying to uploaded questions.

[0063] The object of the present invention is to provide a biological scientific research training device, comprising:

[0064] A memory or a processor, wherein the processor processes a computer program stored in the memory, wherein the computer program executes and implements a biological subject research training method, wherein the steps of the biological subject research training method include:

[0065] Obtain the user's biological experiment plan design operation instructions and execute them to obtain the experimental process plan;

[0066] Receive the user's experimental element selection instructions and experimental construction instructions and execute them to build a virtual experiment to obtain a virtual experiment process;

[0067] Receive experimental data from field experiments uploaded by users;

[0068] The user's training results are obtained through evaluation based on the experimental process plan, virtual experimental process, and experimental data.

[0069] Advantages of the present invention:

[0070] 1. A complete biological research experiment training method is formed through a biological research training system based on a virtual laboratory. The system progressively trains users' thinking ability, biological experiment knowledge point learning ability, and execution ability from three modules: thinking design, virtual experiment construction, and field experiment, thus enhancing users' biological research ability;

[0071] 2. Evaluate the user's scientific research training through training evaluation, which includes the scheme design evaluation in thinking design, the experiment construction evaluation of virtual experiments, and the practical evaluation of field experiments. The user's training results can be obtained by evaluating with a clear training route. It can clarify the problems that the user has in the training process, as well as the specific parts of the problems involved, and then enhance them in a targeted manner, which can improve the user's scientific research ability and has practical teaching significance. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the 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 work.

[0073] Figure 1 A schematic diagram of a biological research training system based on a virtual laboratory provided by an embodiment of the present invention;

[0074] Figure 2 A schematic diagram of a biological research training device provided by an embodiment of the present invention;

[0075] Figure 3 A schematic diagram of a mind map case provided by an embodiment of the present invention;

[0076] Figure 4 A schematic diagram of the construction process of a virtual laboratory experiment provided by an embodiment of the present invention;

[0077] Figure 5 A schematic diagram of uploading field experiment data provided by an embodiment of the present invention;

[0078] Figure 6 A schematic diagram of the process of exporting an experimental report provided by an embodiment of the present invention;

[0079] Figure 7 A schematic diagram of reviewing and studying excellent cases provided for embodiments of the present invention. DETAILED DESCRIPTION

[0080] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0081] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The sequence numbers of the operations, such as S101, S102, etc., are only used to distinguish between different operations, and the sequence numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0082] Figure 1 A schematic diagram of a biological research training system based on a virtual laboratory provided by an embodiment of the present invention specifically includes:

[0083] Mind map design module M1: used to receive the user's biological experiment plan design operation instructions and execute them to obtain the experimental process plan;

[0084] In one embodiment, the mind map design module includes a solution export module, which is used to export the experimental process solution after receiving a solution export instruction.

[0085] In a specific embodiment, a mind map is a graphic tool that can transform complex and abstract information into intuitive graphic images, helping people to better observe, remember, analyze, make decisions, design, innovate and other thinking activities. The formation of a mind map is a process of "from thinking to mapping, from mapping to thinking", and the process of drawing a mind map is the process of reintegrating new and old knowledge. Although mind maps have been widely used in junior high schools and theoretical education and teaching, they are less reported in biology experimental teaching in colleges and universities. The biological research and exploration experiment itself is a complex experimental design process. The present invention attempts to apply the mind mapping tool to the biological experiment design stage to make the experimental context clearer, the experimental core more prominent, and the experimental logical sequence clearer, so as to achieve the graphic representation of the experimental content and the visualization of the thinking process, so as to achieve the purpose of training students' scientific research thinking. Taking the comprehensive experiment "Plant Deficiency Cultivation and Phenotypic and Functional Identification" opened by the center as an example, an example scientific research mind map was built. Figure 3 shown.

[0086] Virtual experiment building module M2: The virtual experiment building module includes an experiment element library and an experiment platform process building interface, which is used to receive the user's experiment element selection instructions and experiment building instructions and execute them on the building interface to obtain the virtual experiment process;

[0087] In one embodiment, the experimental elements in the experimental element library are displayed on the building interface through selection instructions, and the virtual experimental process is obtained by combining the experimental elements through building instructions;

[0088] Optionally, the experimental elements include one or more of the following: laboratory equipment, low-value consumables, experimental materials, and database-type components;

[0089] Optionally, the experimental materials include one or more of the following: commonly used reagents, bacterial strains, cell lines, mutants, gene signatures;

[0090] Optionally, the experimental element includes an element attribute module, which is used to receive an attribute selection instruction to select an attribute of the experimental element;

[0091] In one embodiment, the steps of completing the experiment by the virtual experiment building module through the experiment process are:

[0092] Step 1: Receive the user's virtual experiment construction instructions and execute to display the experimental element library interface and construction interface;

[0093] Step 2: The experimental elements in the experimental element library interface are displayed in the building interface after receiving a selection instruction or a drag instruction;

[0094] Step 3: After the experimental element in the construction interface receives the attribute selection instruction, the element attribute is displayed and the element attribute is determined by the determination instruction to obtain the experimental element with the confirmed element attribute;

[0095] Step 4: the experimental element that confirms the element attribute receives the connection instruction and connects the experimental element to obtain a virtual experimental process;

[0096] Optionally, the execution order of element attribute confirmation and element connection of the experimental process construction includes any one or more of the following: loop execution, sequential execution, and random execution;

[0097] In one embodiment, the virtual experiment building module performs a virtual experiment by semantically building and selecting experimental elements, attributes of experimental elements, and relationships between experimental elements during the experiment;

[0098] Optionally, the semantic construction displays an input interface after receiving a user's semantic construction instruction, the input interface includes an experimental element input module, an element attribute input module, and an experimental element relationship input module, and obtains a semantic virtual experiment process by confirming the instruction output;

[0099] In one embodiment, the virtual experiment building module includes an error prompt module, and the error prompt module is used for prompting element attribute selection errors or experimental element connection errors during the experiment flow building or semantic building process;

[0100] In one embodiment, the virtual experiment building module also includes an information recording module for recording data of the virtual experiment process;

[0101] Optionally, the data includes one or more of the following: experimental element selection data, element attribute selection data, experimental error prompt data;

[0102] In one embodiment, the virtual experiment construction module further includes a data export module for exporting one or more of the following data: virtual experiment process data, and data of the information recording module.

[0103] In one embodiment, when executing the virtual experiment building module, the virtual experiment is built by receiving user instructions. When an experimental element selection error, an element attribute selection error, or an experimental element connection error occurs during the building process, an error prompt is displayed through the error prompt module, and the full process data of the virtual experiment is recorded through the information recording module; when the user's export instruction is received, the data of the virtual experiment building module is exported through the data export module.

[0104] In one embodiment, the biological research training system based on a virtual laboratory also includes a scheme adjustment module. When the virtual experiment building module receives an experimental step refinement instruction or an experimental step modification instruction during experiment building, the scheme adjustment module saves the node of the current virtual experiment, jumps to the mind map design module to make adjustments to obtain an adjusted experimental process scheme, and returns to the node of the virtual experiment to build the virtual experiment after receiving the adjustment completion instruction.

[0105] In a specific embodiment, the virtual experiment process is constructed: Based on the experimental design mind map, the present invention further concretizes each mind map concept into a virtual experiment table, such as Figure 4 As shown in (a), by dragging basic experimental components (hereinafter referred to as "experimental elements") on the experimental table, and adding the properties of each component, detailed experimental parameters for each step are added to finally complete the construction of the experimental process. The specific implementation method is: virtualize the conventional laboratory instruments and equipment, reagents, drugs, experimental materials and other elements, completely atomize the experimental process, and give each basic experimental element custom attributes (hereinafter referred to as "experimental parameters", for example Figure 4 (b) shown). To complete an experiment, students must start with the most basic experimental preparation, select reagents and experimental materials, select appropriate experimental instruments, and set relevant experimental parameters. This data and information can be recorded in the virtual process building of the present invention. The experimental process can be specific to, for example, the configuration of a certain reagent, such as Figure 4(c) shown. At present, the platform has completed the modeling of more than 600 experimental elements of various types, including laboratory equipment, common reagents, low-value consumables, experimental materials and strains. At the same time, the present invention also adds database-type components to meet the experimental scenarios of combining dry and wet experiments. The above basic experimental element models can basically meet the needs of conventional biological scientific research training and experimental process construction. This is a truly complete experimental process, which includes experimental design thinking, experimental elements and experimental parameters. Through such operations, students have strengthened their training in experimental design and scientific research thinking, and have made sufficient preparations for the next step of field experiments.

[0106] Field experiment data collection module M3: used to receive experimental data from field experiments uploaded by users;

[0107] In one embodiment, the field experiment data collection module includes a data storage module, which receives and saves the experiment data uploaded by the user;

[0108] Optionally, the experimental data may be in the form of one or more of the following: text, table, picture;

[0109] Optionally, the data storage module includes a structure storage module for storing experimental data in a structured manner;

[0110] Optionally, the structuring includes any one of the following: a sequence structure, a process structure, and a tree structure;

[0111] Optionally, the process structure generates process nodes by receiving a framework of the experimental process, and stores the received experimental data in the selected nodes.

[0112] In one embodiment, the framework of the experimental process is obtained through a virtual process of a virtual experiment building module.

[0113] In one embodiment, the framework of the experimental process is obtained based on biological experiment knowledge or based on big data analysis of necessary functions in biological experiment types.

[0114] In one embodiment, the field experiment module also includes a multi-person collaborative sharing module for reviewing the experiment process or experiment data and commenting on the experiment content.

[0115] In one embodiment, the field experiment module further includes a comment reminder module for reminding the occurrence of comment information.

[0116] In one embodiment, the user uploads the experimental data and stores the data through the selected process structure storage. The user can view the progress of the current experiment in real time, including the uploaded node data and the unuploaded node data and data results. The user can also view other users' experimental processes or experimental data or conduct experimental comments through the multi-person collaborative sharing module. After the user comments on the experiment, the commented user will be reminded through the evaluation reminder module.

[0117] In one embodiment, the biological research training system based on the virtual laboratory further includes a data sorting module for sorting the data of the virtual experiment building module and / or the field experiment data collection module to obtain an experiment report;

[0118] Optionally, the data sorting module includes a template module, the template module includes N types of report templates, N is a natural number greater than 1, and a template experiment report is obtained by receiving a template selected by a template selection instruction.

[0119] In one embodiment, the data sorting module also includes a customization module for customizing the experimental report, by receiving a custom selection instruction to select the experimental steps and experimental results and then combining them to obtain an experimental operation document, and then after receiving an editing instruction, the experimental operation document is edited and adjusted to obtain a customized experimental report.

[0120] In one embodiment, the data sorting module further includes a sorted data exporting module for exporting a template experiment report or a customized experiment report.

[0121] In one embodiment, the data sorting module further includes a one-click export module for exporting experimental data, comments, attachments and experimental reports through the one-click export instruction.

[0122] In one embodiment, the user obtains a data report through a template module or a custom module in the data sorting module, and then obtains an experimental report through an export module.

[0123] In one embodiment, the user obtains the data of the entire experiment process through a one-click export module.

[0124] In a specific embodiment, field experiment data collection: In addition to providing students with experimental design and experimental process construction, the present invention also extends to auxiliary applications in physical laboratories. When students complete the experimental process construction and enter the laboratory, the platform provides task division and collaboration functions, such as Figure 5As shown, each experimental process node can be linked to various types of experimental data, and can provide results upload records in the form of text, tables, and pictures. Key experimental steps and phased experimental results support mutual comments between members. Every time a user starts an experiment and logs into the system, it will automatically remind the user of the completion of the experimental task and whether other users have new comments on the experimental results that need to be reviewed, etc. Humanized functions.

[0125] This module is equivalent to providing an electronic experimental record book. Its advantage is that all scattered experimental data are mounted on specific experimental step nodes based on the project management model, providing a clear framework for collating experimental reports and analyzing experimental results in the future. At the same time, the present invention adds comment and teacher review functions to the experimental results. Members of the experimental group can express their opinions and views on the experimental data in real time. It is an experimental data collection system that can realize multi-person collaborative sharing.

[0126] In a specific embodiment, the experimental report is a summary and improvement of the experimental process, which can reflect the students' mastery of the entire experimental operation and the understanding of theoretical knowledge and experimental phenomena. It is a summary and reproduction of the experimental process, an original record of the experimental process, and an important basis for evaluating the learning effect of students in the experimental course. It is also an indispensable link for training students to write scientific research papers in the future. Therefore, traditional experimental teaching often requires students to submit an experimental report as an evaluation basis for the experimental learning effect. However, according to the preliminary investigation of the present invention, students often write experimental reports in actual teaching, which is perfunctory, formalistic and has serious copy redundancy. The main reason is the learning attitude of individual students on the one hand, and there must be some objective reasons at the same time, such as the limited experimental class time, students mainly complete the experimental operation in class, and the experimental reports are completed in a retrospective manner after class. Moreover, the students' performance is not timely feedback, which will also lead to frustration of enthusiasm. In particular, teaching experiments are stereotyped, and even the results are the same, so it is difficult for students to arouse interest in writing high-quality experimental reports.

[0127] The present invention improves the experimental teaching method by allowing students to complete the experimental preview (experimental design + virtual process construction) online, and then students enter the laboratory with questions and start operating in an exploratory mode. At the same time, the present invention uploads experimental data while operating, and can also comment and share experimental results in real time. Such experiments will definitely stimulate students' interest. Through this online and offline hybrid method, the final experimental report is a natural result. Students only need to select the best experimental steps + experimental results to export an experimental process operation document, and then edit it slightly to easily complete an experimental report. The completion of the entire experimental report is actually a new form of experimental teaching led by students, assisted by teachers, and tracked throughout the experiment.

[0128] In another specific embodiment, the present invention provides students with a one-click export function, and the exported content includes complete experimental data, comments, attachments and experimental report documents, such as Figure 6 As shown, in another embodiment, a function of completing a research report online based on experimental report data is also provided, and a variety of scientific research paper report templates are provided to assist students in writing experimental report documents conveniently, quickly and accurately.

[0129] In one embodiment, the biological research training system based on the virtual laboratory also includes an excellent case review module, which receives data case arrangement instructions to store the output data of the mind map design module, the virtual experiment construction module, and the field experiment data collection module as experimental case data to obtain an experimental database, and screens out experimental cases that meet the conditions based on the experimental database to obtain an excellent case library, which is used as material for experimental design review or experimental preview;

[0130] Optionally, the cases in the excellent case review module include the entire experimental process and data.

[0131] In one embodiment, the excellent case review module also includes a secondary design module for performing comprehensive experimental design, and performing experimental modifications based on the experiments in the excellent case library to obtain a comprehensive experimental design solution.

[0132] In one embodiment, the excellent case review module also includes a case export module for exporting the entire process and data of the case.

[0133] In one embodiment, the excellent case review module further includes an inspection module, which generates test questions of the experimental processing process based on the excellent cases for experimental theory testing.

[0134] In a specific embodiment, as more and more structured experimental project data accumulate, students can actually refer to and learn from existing experimental projects during the experimental design stage, including the experimental design mind map of the existing project, the construction of the virtual laboratory bench, the experimental data, the discussion and comment information at the time, and the final experimental report. By learning from existing projects, a form of pre-experimental class preparation is also provided. The experimental teacher selects suitable reference projects from the project library and shares them with the students. The students first learn the existing projects and then design and build new experimental processes to enhance the students' learning interest. After the experiment is completed, the teacher can select excellent experimental project cases from all experiments and enter the excellent project case library. This is a feature of the present invention, which can realize the collection and archiving of biological experimental projects and serve as an important resource for pre-class preparation. On the one hand, it can facilitate experimental teachers to include some excellent experimental cases when preparing lessons, and publish them to students in advance from the platform for them to preview; on the other hand, for some comprehensive experimental projects, students can also modify and improve the experimental plan based on excellent experiments, add their own new experimental design plan, and quickly complete the design tasks of the experimental project, such as Figure 7 shown.

[0135] This part of the function can also be used as the main material for experimental teachers to prepare for the early stage of the lesson. It should be noted that all experimental projects of this method can be exported to the local computer in the form of experimental scripts at any time, and the discussion and design of the experimental plan can be started by directly importing the script on any offline computer.

[0136] The experiment review learning module of the present invention can currently realize the whole process data browsing of the experiment project and redesign the new project based on the existing project as a template.

[0137] In one embodiment, the excellent case review module further includes a platform recognition analysis module, which performs big data analysis based on the data in the experimental database to obtain the user's recognition tendency for the platform;

[0138] Optionally, the recognition tendency is obtained by performing data analysis on the completion degree and function utilization rate of the experiment by users, and the platform function is optimized based on the analysis results.

[0139] In one embodiment, the system further includes an experimental teaching evaluation module, which obtains an experimental teaching evaluation result by evaluating the teaching effect of the experimental process scheme, the virtual experimental process, and the experimental data;

[0140] Optionally, the teaching effect evaluation includes a completeness evaluation or a correctness evaluation of the experimental process plan, the virtual experimental process, and the field experimental process;

[0141] Optionally, the correctness evaluation includes one or more of the following: a thinking design scheme similarity score, a virtual experiment process similarity score, and an experiment report score;

[0142] Optionally, the completeness evaluation includes one or more of the following: experimental scheme matching degree and recommendation number, real-time feedback and discussion amount.

[0143] In one embodiment, the experimental teaching effect evaluation module: based on the students' experimental mind map, the completeness and accuracy of the experimental process construction, the evaluation of the students' experimental teaching effect is carried out. The evaluation methods include online sorting of experimental report scores, research report evaluation, scientific research thinking similarity judgment, experimental plan matching analysis and recommendation, experimental teaching instant feedback and discussion, etc.

[0144] In one embodiment, the biological research training system based on the virtual laboratory further includes a problem feedback module, and the problem feedback module includes a platform problem feedback module, which is used to upload problems of the training platform through the platform problem feedback module;

[0145] Optionally, the problem feedback module further includes an experimental problem feedback module, which is used to upload the experimental problem through the experimental problem feedback module;

[0146] Optionally, the question feedback module includes a reply module for replying to uploaded questions.

[0147] In one embodiment, the user uploads the question through the platform question feedback module or the experimental question feedback module, and the user replies to the question through the reply module; the user who uploads the question and the user who replies to the question are different users.

[0148] Training evaluation M4: It is used to evaluate the user's experimental process plan in the mind map design module, the virtual experiment process in the virtual experiment construction module, or the experimental data in the field experiment data collection module to obtain training results.

[0149] In one embodiment, the training evaluation includes a program design evaluation module, a virtual experiment evaluation module, and a field experiment evaluation module.

[0150] In one embodiment, the scheme design evaluation module is used to evaluate the experimental process scheme;

[0151] Optionally, the experimental process scheme is evaluated by determining whether the composition of the process includes necessary functional descriptions.

[0152] Among them, the evaluation of the experimental process plan includes: the completeness of the experimental process, the scientific nature of the experimental process, the feasibility of the experimental process, and the simplicity and efficiency of the experimental process.

[0153] In one embodiment, the virtual experiment evaluation module includes a process evaluation module, and the process evaluation module performs evaluation by comparing the similarities between the experimental process plan and the preset process plan.

[0154] Optionally, the preset process plan includes necessary experimental steps or necessary experimental equipment or necessary experimental materials or experimental parameter records;

[0155] Optionally, the virtual experiment evaluation module further includes an experiment parameter evaluation module, and the experiment parameter evaluation module performs evaluation by comparing the difference between the experiment parameters and the preset parameters;

[0156] Optionally, the experimental parameters include one or more of the following: working parameters of experimental equipment, configuration of experimental reagents, time of the intermediate process of the experiment, experimental temperature, experimental humidity, experimental light intensity, processing method of experimental materials, quantity or weight of experimental materials, and conditions for the occurrence of the experiment;

[0157] Optionally, the preset parameters include one or more of the following: a ratio of experimental reagents, a range of experimental equipment working parameters, a range of experimental intermediate process time, a range of experimental temperature, a range of experimental humidity, and a range of experimental light intensity;

[0158] In one embodiment, the field experiment evaluation module determines whether to record necessary experiment node data and / or whether to obtain the final experiment result based on the uploaded experiment data.

[0159] In one embodiment, the virtual experiment evaluation module and the field experiment evaluation module also include evaluations of the experiment completion and the experiment correctness.

[0160] In one embodiment, the training assessment uses the scheme design assessment block to evaluate whether there is a necessary functional description in the experimental process scheme to evaluate the user's understanding of biological experiments; the virtual experiment assessment module evaluates the virtual experiment process built by the user to obtain the user's understanding of the necessary experimental steps, necessary experimental equipment, and necessary experimental materials of the biological experiment; the field experiment assessment module evaluates the data of the experimental process nodes to obtain the user's content in the actual operation process and conducts a field experiment ability assessment. The above three modules evaluate the user's thinking design ability, experimental process construction ability, and practical ability in biological subject experiments.

[0161] Among them, in the scheme design evaluation, the level is divided according to the number of necessary function descriptions. When the user lacks the necessary function description, the design default level is converted to the next level; the necessary function description is a preset description;

[0162] Optionally, the preset description, preset scheme, and preset parameters are obtained based on biological experiment knowledge or based on big data analysis of necessary functions in biological experiment types;

[0163] Optionally, the default level is the highest level, including all necessary components;

[0164] In the virtual experiment evaluation, the experimental process plan is evaluated and graded by comparing the similarities between the experimental process plan and the preset process plan. When the necessary components are missing, the virtual process default level is converted to the next level; the preset process plan includes necessary experimental steps or necessary experimental equipment or necessary experimental materials;

[0165] The virtual experiment evaluation also includes the experiment parameter evaluation. When the necessary component evaluation is completed, the experiment parameter evaluation is performed by comparing the difference between the experiment parameter and the preset parameter. When the experiment parameter is different from the preset parameter or exceeds the range of the preset parameter, the virtual parameter default level is converted to the next level.

[0166] In the field experiment evaluation, it is determined whether the necessary experimental node data is recorded and / or whether the final experimental results are obtained; when the necessary experimental node data or the final experimental results are missing, the default level of the field experiment is converted to the next level;

[0167] Optionally, the experimental node is a virtual experimental process obtained after the virtual experiment is built, and the experimental node is determined based on the virtual experimental process;

[0168] Optionally, the experimental nodes are obtained through biological experiment knowledge or based on big data analysis of biological experiment types;

[0169] Virtual evaluation and on-site experiment evaluation include evaluation of experiment completion or experiment correctness. When the experiment is not completed or the experiment result exceeds the normal experiment result range, the default level of the experiment is converted to the next level.

[0170] The normal experimental result range refers to the result obtained after performing the experiment at the boundary values ​​of various parameters involved in the experimental steps during the biological experiment.

[0171] In a specific embodiment, the PC version of the biological research training platform has been used in real scenarios by 35 people in two parallel classes of biochemistry experiments in the fall semester of 2022 / 2023. A total of 35 experimental project reports have been completed, and more than 30 student feedback opinions have been collected. 80% of the students reported a good user experience, which is very helpful for improving the efficiency of experimental class learning. At the same time, as a support platform for undergraduate scientific research innovation projects in 2024, this platform is open to all project teams, supporting a total of 45 projects, divided into 45 project teams, involving 120 undergraduates and 45 instructors.

[0172] In a specific embodiment, the biology research training platform is an attempt to reform experimental teaching in the context of the "Double First-Class" construction in the new era. Reforms have been carried out in many aspects, including the virtualization of biology laboratories, efficient support for team collaboration in experimental projects, visualization of experimental design and the entire process, and sedimentation and tracking of data from the entire process of experimental teaching.

[0173] After the promotion and application of this invention in experimental teaching courses, its precipitated data will lay the foundation for the evaluation of learners' effectiveness in experimental teaching in the future. The biological research training platform strives to solve many difficulties and drawbacks in traditional biological experimental teaching, such as making up for the shortcomings of insufficient pre-class preparation and insufficient design thinking training in offline experimental courses; breaking through the time and space limitations of multiple people co-designing experimental plans and recording trajectories; meeting the needs of building exclusive experimental teaching course archives for each student; establishing an experimental teaching case library, etc. The original intention is to improve the efficiency of "teaching" and "learning" in experimental courses.

[0174] Figure 2 A schematic diagram of a biological research training device provided by an embodiment of the present invention specifically includes:

[0175] A memory and a processor; the memory is used to store program instructions; the processor is used to call the program instructions, when the program instructions are executed, the biological subject research training method, the steps of the biological subject research training method include:

[0176] Obtain the user's biological experiment plan design operation instructions and execute them to obtain the experimental process plan;

[0177] Receive the user's experimental element selection instructions and experimental construction instructions and execute them to build a virtual experiment to obtain a virtual experiment process;

[0178] Receive experimental data from field experiments uploaded by users;

[0179] The user's training results are obtained through evaluation based on the experimental process plan, virtual experimental process, and experimental data.

[0180] The verification results of this verification embodiment show that assigning inherent weights to indications can improve the performance of the method relative to the default setting. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units. A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the above-mentioned embodiments may be completed by instructing the relevant hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0181] A person skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be implemented by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned medium storage can be a read-only memory, a disk or an optical disk, etc.

[0182] The above is a detailed introduction to a computer device provided by the present invention. For a person skilled in the art, according to the concept of the embodiments of the present invention, there may be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A biological research training system based on a virtual laboratory, characterized in that: include: Mind map design module: used to receive the user's biological experiment plan design operation instructions and execute them to obtain the experimental process plan; Virtual experiment building module: The virtual experiment building module includes an experimental element library and an experimental platform process building interface, which is used to receive the user's experimental element selection instructions and experimental building instructions and execute them on the building interface to obtain the virtual experiment process; Field experiment data collection module: used to receive experimental data from field experiments uploaded by users; Training evaluation module: used to evaluate the user's experimental process scheme in the mind map design module, the virtual experiment process in the virtual experiment construction module, or the experimental data in the field experiment data collection module to obtain training results; The training evaluation includes a program design evaluation module, a virtual experiment evaluation module, and a field experiment evaluation module; The scheme design evaluation module is used to evaluate the experimental process scheme; The virtual experiment evaluation module includes a process evaluation module, and the process evaluation module evaluates by comparing the similarities between the experimental process scheme and the preset process scheme; The field experiment evaluation module determines whether to record necessary experimental node data and / or obtain the final experimental results based on the uploaded experimental data; The biological research training system based on the virtual laboratory also includes a scheme adjustment module. When the virtual experiment building module receives an experimental step refinement instruction or an experimental step modification instruction during experiment building, the scheme adjustment module saves the node of the current virtual experiment, jumps to the mind map design module to make adjustments to obtain an adjusted experimental process scheme, and returns to the node of the virtual experiment to build the virtual experiment after receiving the adjustment completion instruction.

2. The biological research training system based on virtual laboratory according to claim 1 is characterized in that: The experimental process plan is evaluated by determining whether the composition of the process includes the necessary functional description.

3. The biological research training system based on virtual laboratory according to claim 1 is characterized in that: The preset process plan includes necessary experimental steps or necessary experimental equipment or necessary experimental materials or experimental parameter records.

4. The biological research training system based on virtual laboratory according to claim 1 is characterized in that: The virtual experiment evaluation module also includes an experiment parameter evaluation module, and the experiment parameter evaluation module performs evaluation by comparing the difference between the experiment parameters and the preset parameters.

5. The biological research training system based on virtual laboratory according to claim 4 is characterized in that: The experimental parameters include one or more of the following: working parameters of the experimental equipment, configuration of the experimental reagents, time of the intermediate process of the experiment, experimental temperature, experimental humidity, experimental light intensity, processing method of experimental materials, quantity or weight of experimental materials, and conditions for the experiment.

6. The biological research training system based on virtual laboratory according to claim 4 is characterized in that: The preset parameters include one or more of the following: a ratio of experimental reagents, a range of experimental equipment working parameters, a range of experimental intermediate process time, a range of experimental temperature, a range of experimental humidity, and a range of experimental light intensity.

7. The biological research training system based on virtual laboratory according to claim 1 is characterized in that: The virtual experiment evaluation module and the field experiment evaluation module also include evaluations of the experiment completion and the experiment correctness.

8. The biological research training system based on virtual laboratory according to claim 1 is characterized in that: The experimental elements in the experimental element library are displayed on the building interface through selection instructions, and the virtual experimental process is obtained by combining the experimental elements through building instructions.

9. The biological research training system based on virtual laboratory according to claim 8, characterized in that: The experimental elements include one or more of the following: laboratory equipment, low-value consumables, experimental materials, and database-type components.

10. The biological research training system based on virtual laboratory according to claim 9, characterized in that: The experimental materials include one or more of the following: commonly used reagents, bacterial strains, cell lines, mutants, and gene signatures.

11. The biological research training system based on virtual laboratory according to claim 8, characterized in that: The experimental element comprises an element attribute module, which is used to receive an attribute selection instruction to select the attribute of the experimental element.

12. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The steps of completing the experiment by building the virtual experiment construction module through the experimental process are as follows: Step 1: Receive the user's virtual experiment construction instructions and execute to display the experimental element library interface and construction interface; Step 2: The experimental elements in the experimental element library interface are displayed in the building interface after receiving a selection instruction or a drag instruction; Step 3: After the experimental element in the construction interface receives the attribute selection instruction, the element attribute is displayed and the element attribute is determined by the determination instruction to obtain the experimental element with the confirmed element attribute; Step 4: After receiving the connection instruction, the experimental element that confirms the element attribute connects the experimental element to obtain the virtual experimental process.

13. The biological research training system based on virtual laboratory according to claim 12, characterized in that: The execution order of element attribute confirmation and element connection of the experimental process construction includes any one or more of the following: loop execution, sequential execution, and random execution.

14. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The virtual experiment building module conducts a virtual experiment by selecting experimental elements, attributes of experimental elements and the relationship between experimental elements in the experimental process through semantic building.

15. The biological research training system based on virtual laboratory according to claim 14, characterized in that: The semantic construction displays an input interface after receiving the user's semantic construction instruction. The input interface includes an experimental element input module, an element attribute input module, and an experimental element relationship input module. The semantic virtual experiment process is obtained by confirming the instruction output.

16. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The virtual experiment building module includes an error prompt module, and the error prompt module is used for prompting element attribute selection errors or experimental element connection errors during the experiment flow building or semantic building process.

17. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The virtual experiment building module also includes an information recording module for recording data of the virtual experiment process.

18. The biological research training system based on virtual laboratory according to claim 17, characterized in that: The data includes one or more of the following: experimental element selection data, element attribute selection data, and experimental error prompt data.

19. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The virtual experiment building module also includes a data export module, which is used to export one or more of the following data: virtual experiment process data, and data from the information recording module.

20. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The mind map design module includes a solution export module, which is used to export the experimental process solution after receiving a solution export instruction.

21. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The field experiment data collection module includes a data storage module, and the data storage module receives and saves the experiment data uploaded by the user.

22. The biological research training system based on virtual laboratory according to claim 21, characterized in that: The experimental data may be in the form of one or more of the following: text, table, or picture.

23. The biological research training system based on virtual laboratory according to claim 21, characterized in that: The data storage module includes a structure storage module for storing experimental data in a structured manner.

24. The biological research training system based on virtual laboratory according to claim 23, characterized in that: The structuring includes any one of the following: sequential structure, process structure, and tree structure.

25. The biological research training system based on virtual laboratory according to claim 24, characterized in that: The process structure generates process nodes by receiving the framework of the experimental process and stores the received experimental data in the selected nodes.

26. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The field experiment data collection module also includes a multi-person collaborative sharing module for reviewing the experiment process or experiment data and commenting on the experiment content.

27. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The field experiment data collection module also includes a comment reminder module, which is used to remind the appearance of comment information.

28. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The biological research training system based on the virtual laboratory also includes a data sorting module, which is used to sort the data of the virtual experiment building module and / or the field experiment data collection module to obtain an experiment report.

29. The biological research training system based on virtual laboratory according to claim 28, characterized in that: The data sorting module includes a template module, which includes N report templates, where N is a natural number greater than 1, and a template experiment report is obtained by receiving a template selected by a template selection instruction.

30. The biological research training system based on virtual laboratory according to claim 28, characterized in that: The data sorting module also includes a customization module for customizing the experimental report, which receives a custom selection instruction to select the experimental steps and experimental results and then combines them to obtain an experimental operation document, and then receives an editing instruction to edit and adjust the experimental operation document to obtain a customized experimental report.

31. The biological research training system based on virtual laboratory according to claim 28, characterized in that: The data sorting module also includes a sorted data export module for exporting a template experiment report or a custom experiment report.

32. The biological research training system based on virtual laboratory according to claim 28, characterized in that: The data sorting module also includes a one-click export module for exporting experimental data, comments, attachments and experimental reports through the one-click export instruction.

33. The biological research training system based on virtual laboratory according to claim 1 is characterized in that: The biological research training system based on the virtual laboratory also includes an excellent case review module, which receives data case organization instructions to store the output data of the mind map design module, the virtual experiment construction module, and the field experiment data collection module as experimental case data to obtain an experimental database, and screens out qualified experimental cases based on the experimental database to obtain an excellent case library, which is used as material for experimental design review or experimental preview.

34. The biological research training system based on virtual laboratory according to claim 33, characterized in that: The cases in the excellent case review module include the entire experimental process and data.

35. The biological research training system based on virtual laboratory according to claim 33, characterized in that: The excellent case review module also includes a secondary design module for performing comprehensive experimental design, and performing experimental modifications based on the experiments in the excellent case library to obtain a comprehensive experimental design plan.

36. The biological research training system based on virtual laboratory according to claim 33, characterized in that: The excellent case review module also includes a case export module for exporting the entire process and data of the case.

37. The biological research training system based on virtual laboratory according to claim 33, characterized in that: The excellent case review module also includes an inspection module, which generates test questions of the experimental processing process based on the excellent cases for experimental theory testing.

38. The biological research training system based on virtual laboratory according to claim 33, characterized in that: The excellent case review module also includes a platform recognition analysis module, which performs big data analysis based on the data in the experimental database to obtain the user's recognition tendency for the platform.

39. The biological research training system based on a virtual laboratory according to claim 38, characterized in that: The recognition tendency is obtained by performing data analysis on the completion degree and function utilization rate of the experiment by users, and the platform function is optimized based on the analysis results.

40. The biological research training system based on virtual laboratory according to claim 1, characterized in that: The system also includes an experimental teaching evaluation module, which obtains an experimental teaching evaluation result by evaluating the teaching effect of the experimental process plan, virtual experimental process, and experimental data.

41. The biological research training system based on a virtual laboratory according to claim 40, characterized in that: The teaching effect evaluation includes a completeness evaluation or a correctness evaluation of the experimental process plan, the virtual experimental process, and the field experimental process.

42. The biological research training system based on a virtual laboratory according to claim 41, characterized in that: The correctness evaluation includes one or more of the following: a thinking design scheme similarity score, a virtual experiment process similarity score, and an experiment report score.

43. The biological research training system based on a virtual laboratory according to claim 41, characterized in that: The completeness evaluation includes one or more of the following: experimental plan matching degree and recommendation number, real-time feedback and discussion amount.

44. The biological research training system based on a virtual laboratory according to claim 40, characterized in that: The system also includes a problem feedback module, which includes a platform problem feedback module for uploading problems of the training platform through the platform problem feedback module.

45. The biological research training system based on a virtual laboratory according to claim 44, characterized in that: The problem feedback module also includes an experimental problem feedback module, which is used to upload experimental problems through the experimental problem feedback module.

46. ​​The biological research training system based on a virtual laboratory according to claim 44, characterized in that: The question feedback module includes a reply module for replying to uploaded questions.

47. A biological scientific research training device, characterized in that: include: A memory or a processor, wherein the processor processes a computer program stored in the memory, wherein the computer program executes and implements a biological subject research training method, wherein the steps of the biological subject research training method include: Obtain the user's biological experiment plan design operation instructions and execute them to obtain the experimental process plan; Receive the user's experimental element selection instructions and experimental construction instructions and execute them to build a virtual experiment to obtain a virtual experiment process; Receive experimental data from field experiments uploaded by users; Evaluate the user's training results based on the experimental process plan, virtual experimental process, and experimental data; The evaluation is used to evaluate the experimental process plan; compare the similarities between the experimental process plan and the preset process plan; determine whether to record necessary experimental node data and / or obtain the final experimental results based on the uploaded experimental data; The method also includes scheme adjustment. When receiving an instruction to refine the experimental steps or an instruction to modify the experimental steps during the experiment setup, the node of the current virtual experiment is saved, and adjustments are made to obtain an adjusted experimental process scheme. When the adjustment completion instruction is received, the node of the virtual experiment is returned to build the virtual experiment.

Images