Indoor and outdoor collaborative learning and exploration type teaching system

Abstract

The invention relates to the technical field of teaching systems, in particular to an indoor and outdoor collaborative learning and exploration type teaching system, which comprises a pre-class preparation module, an outdoor activity module, a classroom teaching module, a writing training module, a result display module and a learning module, the system comprises a writing training module in communication connection with the writing training module, a safety management module in communication connection with an outdoor activity module, an evaluation feedback module in communication connection with a classroom teaching module and the writing training module, a home-school interaction module in communication connection with the safety management module and the evaluation feedback module, and a data analysis module in communication connection with all the modules. Summarizing and analyzing data of each module; generating a teaching improvement suggestion report; the system management module is in communication connection with all the modules and is used for managing user permission; and the operation of each module is coordinated, so that students can better combine outdoor experience with classroom knowledge to form deep understanding.

Description

Technical Field

[0001] The invention relates to the technical field of teaching systems, in particular to an indoor and outdoor collaborative learning and inquiry-based teaching system. Background Art

[0002] With the continuous innovation of educational concepts, inquiry-based learning and experiential education are gaining more and more attention. The traditional classroom teaching model can no longer meet the needs of cultivating all-round talents. In recent years, many educational institutions have begun to try to combine outdoor practical activities with classroom teaching in order to improve students' learning interest and comprehensive ability. However, this attempt still faces many challenges in the implementation process.

[0003] Existing indoor and outdoor collaborative learning methods often have the following problems: First, there is a lack of organic connection between outdoor activities and classroom teaching, which makes it difficult to sustain learning effects. The experience and insights gained by students outdoors often cannot be effectively transformed into knowledge and abilities. Secondly, it is difficult for teachers to grasp the learning status of students in outdoor activities in real time and provide timely guidance and adjustments. Furthermore, safety management issues have always been a major problem in outdoor teaching. Existing management methods are often too mechanical, which not only affects the learning experience but also makes it difficult to deal with emergencies. In addition, parents lack understanding and participation in their children's outdoor learning process, making it difficult to form a good home-school collaborative education mechanism.

[0004] Finally, the existing teaching evaluation system is too simplistic and it is difficult to fully reflect students’ performance and progress in inquiry-based learning. These problems seriously restrict the effectiveness and promotion of indoor and outdoor collaborative learning. Summary of the invention

[0005] The present invention aims to solve the above technical problems and provide a collaborative learning and inquiry-based teaching system that can organically integrate indoor and outdoor teaching resources and realize intelligent management of the entire process. Through the collaborative work of multiple functional modules, the system realizes all-round support from pre-class preparation to post-class evaluation, significantly improving the teaching effect and learning experience.

[0006] The present invention proposes an indoor and outdoor collaborative learning and inquiry-based teaching system, comprising:

[0007] Pre-course preparation modules for:

[0008] Generate pre-production video content;

[0009] Send a warm-up video to students;

[0010] The outdoor activity module is connected to the pre-class preparation module for:

[0011] Collect data on students’ outdoor learning;

[0012] generating a real-time activity report based on the learning data;

[0013] The classroom teaching module is connected to the outdoor activity module for:

[0014] receiving the real-time activity report;

[0015] Dynamically adjust teaching content based on the real-time activity report;

[0016] The writing training module is connected to the classroom teaching module for:

[0017] Obtain students’ writing content;

[0018] Analyze the writing content and generate personalized writing guidance suggestions;

[0019] The achievement display module is connected to the writing training module for:

[0020] Organize students’ writing;

[0021] Organize online or offline work display activities;

[0022] A safety management module is connected to the outdoor activity module for:

[0023] Real-time monitoring of students’ location information;

[0024] When an abnormal situation is detected, a safety warning is triggered;

[0025] The evaluation feedback module is connected to the classroom teaching module and the writing training module for:

[0026] Collect data on students’ learning performance;

[0027] Generate multi-dimensional learning evaluation reports;

[0028] The school interaction module is connected to the security management module and the evaluation feedback module for:

[0029] Push student safety status information to parents;

[0030] Send learning evaluation reports to parents;

[0031] The data analysis module is connected to all the above modules and is used to:

[0032] Summarize and analyze the data of each module;

[0033] Generate teaching improvement suggestion reports;

[0034] The system management module is connected to all the above modules and is used to:

[0035] Manage user permissions;

[0036] Coordinate the operation of each module.

[0037] Preferably, the pre-class preparation module includes:

[0038] A video generation unit, used to generate warm-up video content based on preset teaching objectives;

[0039] A video sending unit, connected to the video generating unit, for pushing the preheating video content to the student terminal;

[0040] A learning guidance unit, used to generate a list of pre-study tasks matching the pre-study video content;

[0041] Among them, the warm-up video content includes a preview of outdoor activity scenes and an introduction to relevant knowledge points.

[0042] Preferably, the outdoor activity module comprises:

[0043] A data collection unit, used to collect students' location information, moving images and audio data through mobile devices;

[0044] A real-time analysis unit, connected to the data acquisition unit, for real-time processing and analysis of the acquired data;

[0045] The task management unit is used to dynamically generate and assign learning tasks according to preset teaching objectives;

[0046] The real-time activity report includes students' activity tracks, task completion and interaction status.

[0047] Preferably, the classroom teaching module includes:

[0048] A content adjustment unit, used to dynamically adjust teaching content and progress according to the real-time activity report;

[0049] Interactive management units for organizing class discussions and group collaboration activities;

[0050] Resource push unit, used to push personalized supplementary learning resources according to students' learning situation;

[0051] Among them, the dynamic adjustment includes adjusting the teaching focus, difficult points and case analysis content.

[0052] Preferably, the writing training module includes:

[0053] A writing guidance unit, which is used to generate writing topics and outline suggestions based on the content of outdoor activities;

[0054] Content analysis unit, which is used to analyze students' writing for grammar, structure and creativity;

[0055] A feedback generation unit, connected to the content analysis unit, for generating personalized writing revision suggestions;

[0056] Among them, the personalized writing guidance suggestions include improvement of expression skills and suggestions on material application.

[0057] Preferably, the achievement display module includes:

[0058] The work arrangement unit is used to classify and organize students' writing works;

[0059] Exhibition planning unit, used to design online or offline exhibition plans for works;

[0060] The mutual evaluation management unit is used to organize mutual evaluation activities among students;

[0061] Among them, the work display activities include virtual reality exhibition halls and physical work exhibitions.

[0062] Preferably, the security management module comprises:

[0063] Location monitoring unit to track students’ location in real time during outdoor activities;

[0064] an abnormality identification unit, connected to the position monitoring unit, for detecting abnormal behavior or position deviation of students;

[0065] An early warning triggering unit, connected to the abnormality identification unit, is used to issue a safety early warning when an abnormal situation is detected;

[0066] The safety warning includes sending alarm information to the teacher and parent terminals.

[0067] Preferably, the evaluation feedback module includes:

[0068] Data collection unit, used to collect data on students’ performance in outdoor activities, classroom learning and writing training;

[0069] A multidimensional evaluation unit, connected to the data collection unit, for evaluating student performance from dimensions such as knowledge mastery, skill application, and emotional attitude;

[0070] A report generating unit, connected to the multi-dimensional evaluation unit, for generating a learning evaluation report with both pictures and texts;

[0071] The learning evaluation report includes the student's progress trajectory and personalized learning suggestions.

[0072] Preferably, the home-school interaction module includes:

[0073] Information push unit, used to push students' safety status information and learning dynamics to parents in real time;

[0074] Online consultation unit to support real-time online communication between parents and teachers;

[0075] Family task unit, used to generate family collaborative learning tasks related to course content;

[0076] Among them, the family collaborative learning tasks are intended to extend and consolidate the outdoor classroom learning content.

[0077] Preferably, the data analysis module comprises:

[0078] Data aggregation unit, used to collect and integrate data from various functional modules;

[0079] A pattern recognition unit, connected to the data aggregation unit, for identifying teaching patterns and learning rules from massive data;

[0080] A report generating unit, connected to the pattern recognition unit, for generating a teaching improvement suggestion report including a data visualization chart;

[0081] Among them, the teaching improvement suggestion report includes course design optimization plans and personalized teaching strategy suggestions.

[0082] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0083] First, the present invention realizes the seamless connection between indoor and outdoor learning. Through the warm-up video of the pre-class preparation module and the real-time data collection of the outdoor activity module, students can better combine outdoor experience with classroom knowledge and form a deep understanding. This connection not only improves the coherence of learning, but also stimulates students' desire to explore, making the learning process more vivid and interesting.

[0084] Secondly, the real-time data analysis and feedback mechanism of the present invention enables teachers to grasp students' learning status in a timely manner and provide targeted guidance. This real-time intervention greatly improves the flexibility and effectiveness of teaching, so that each student can get learning support that suits them. At the same time, the system's adaptive learning algorithm can dynamically adjust the difficulty and content of learning tasks according to students' real-time performance, ensuring that learning is always in the best challenge range.

[0085] In terms of safety management, the present invention adopts multi-source positioning technology and multi-level early warning mechanism, which not only ensures the safety of students, but also retains the freedom and exploration of outdoor learning to the maximum extent. This balance solves a major problem that has long troubled educators.

[0086] In addition, the home-school interaction module of the present invention enhances parents' understanding and participation in the learning process. Through real-time information push and personalized family tasks, parents can better support and cooperate with school education, forming a good home-school collaborative education mechanism. This all-round educational participation is conducive to the all-round development of students.

[0087] Finally, the multi-dimensional evaluation system and data analysis function of the present invention provide educators with rich decision-making support. Through in-depth mining and analysis of massive learning data, the system can identify effective teaching models and learning rules, and continuously optimize teaching strategies. This data-driven education decision-making model is expected to promote the continuous improvement of education quality.

[0088] In summary, the present invention not only solves many problems existing in existing indoor and outdoor collaborative learning, but also brings a series of additional educational benefits through technological innovation. It provides strong technical support for inquiry-based learning and experiential education, and is expected to play an important role in future educational practice and promote the innovation and development of educational models. BRIEF DESCRIPTION OF THE DRAWINGS

[0089] Figure 1 It is a logic block diagram of the entire system of the present invention.

[0090] Figure 2 It is a logic block diagram of the pre-class preparation module of the present invention.

[0091] Figure 3 It is a logic block diagram of the outdoor activity module of the present invention.

[0092] Figure 4 It is a logic block diagram of the classroom teaching module of the present invention.

[0093] Figure 5 It is a logic block diagram of the writing training module of the present invention.

[0094] Figure 6 It is a logic block diagram of the security management module of the present invention. DETAILED DESCRIPTION

[0095] See also Figure 1-6 The present invention provides an indoor and outdoor collaborative learning and inquiry-based teaching system, which aims to integrate indoor and outdoor teaching resources and promote students' active inquiry and collaborative learning. The system includes multiple functional modules, which realizes the intelligent management of the whole process from pre-class preparation to post-class evaluation.

[0096] Specifically, the system of the present invention includes a pre-class preparation module 1, an outdoor activity module 2, a classroom teaching module 3, a writing training module 4, an achievement display module 5, a safety management module 6, an evaluation feedback module 7, a home-school interaction module 8, a data analysis module 9 and a system management module 10. These modules form a complete teaching closed loop through information interaction and data sharing.

[0097] The pre-class preparation module 1 is used to generate warm-up video content and send it to the student end. Preferably, the module can customize personalized warm-up content according to teaching objectives and student characteristics. For example, for an upcoming museum visit, the warm-up video may include an introduction to the history of the museum, reminders of visiting etiquette, etc. In one embodiment of the present invention, the length of the warm-up video can be controlled to 5 to 10 minutes to keep students' attention.

[0098] The outdoor activity module 2 is connected to the pre-class preparation module 1 and is mainly responsible for collecting students' outdoor learning data and generating real-time activity reports. This module can use the GPS, camera and other hardware of the mobile device to record students' location trajectory, interaction status and other information. In the preferred embodiment of the present invention, the update frequency of the real-time activity report can be set to once every 5 minutes to balance the real-time performance and system load.

[0099] The classroom teaching module 3 receives the real-time activity report from the outdoor activity module 2 and dynamically adjusts the teaching content accordingly. For example, if the report shows that most students have a strong interest in a certain exhibit, the teacher can increase the teaching time of the topic accordingly. The system of the present invention supports teachers to adjust the course progress in real time according to student feedback and improve the pertinence of teaching.

[0100] The pre-class preparation module 1 includes a video generation unit 11, a video sending unit 12 and a learning guidance unit 13. The video generation unit 11 generates warm-up video content based on preset teaching objectives. In one embodiment of the present invention, natural language processing technology can be used to extract keywords from the teaching syllabus and automatically generate video scripts. The video sending unit 12 is responsible for pushing the generated warm-up video content to the student end. Preferably, the push can be selected 1 to 2 days before class to give students sufficient preview time. The learning guidance unit 13 generates a preview task list that matches the warm-up video to guide students to watch the video purposefully.

[0101] It is worth noting that the warm-up video content includes a preview of the outdoor activity scene and an introduction to relevant knowledge points. This design helps students understand the activity environment in advance, reduces unnecessary anxiety, and lays a knowledge foundation for subsequent learning. The practice of the present invention shows that the warm-up video combined with the scene preview and knowledge introduction can significantly improve students' learning interest and participation.

[0102] The outdoor activity module 2 includes a data acquisition unit 21, a real-time analysis unit 22 and a task management unit 23. The data acquisition unit 21 collects students' location information, activity images and audio data through a mobile device. The present invention preferably uses low-power Bluetooth technology (BLE) to achieve accurate indoor positioning, with a positioning accuracy of up to ±0.5 meters. The real-time analysis unit 22 processes and analyzes the collected data and generates an activity report. The present invention uses edge computing technology to perform preliminary data processing on the mobile terminal to reduce the burden on the server. The task management unit 23 dynamically generates and assigns learning tasks according to preset teaching objectives. For example, in a museum scenario, personalized exhibit exploration tasks can be pushed according to students' interest tendencies.

[0103] The real-time activity report of the present invention includes students' activity tracks, task completion and interaction status. The activity tracks can be intuitively presented in the form of heat maps, the task completion is expressed in percentages, and the interaction status records the number and quality of collaboration between students. These data provide a basis for teachers to adjust teaching strategies in real time, and are also an important reference for subsequent evaluation.

[0104] In practical applications, the system of the present invention can effectively integrate indoor and outdoor teaching resources and enhance students' learning enthusiasm and inquiry ability. Through the organic combination of pre-class warm-up, outdoor practice, classroom discussion and writing training, students can understand and apply the knowledge they have learned more deeply. At the same time, the system's real-time data analysis and feedback mechanism enable teachers to adjust teaching strategies in a timely manner and achieve personalized teaching. In addition, the addition of home-school interaction functions promotes parents' understanding and participation in their children's learning process, forming a good educational ecosystem.

[0105] A core innovation of the present invention is its adaptive learning algorithm. The algorithm dynamically adjusts the difficulty and content of learning tasks based on students' real-time performance data. The core formula of the algorithm is as follows:

[0106] D i =D0+α·(P i -P0)+β·(T i -T0),

[0107] Among them, D i represents the difficulty coefficient of the i-th task; D0 is the initial difficulty coefficient; P i is the student's current performance score; P0 is the expected performance score; T i is the completion time of the current task; T0 is the expected completion time; α and β are the weight coefficients of performance score and completion time respectively.

[0108] In practical applications, the initial difficulty coefficient D0 is usually set to 1, indicating medium difficulty. The values ​​of α and β can be adjusted according to the specific teaching scenario. Generally, the value range of α is [0.1, 0.3], and the value range of β is [0.05, 0.15]. This dynamic adjustment mechanism ensures that the learning task is always in the student's zone of proximal development, which is both challenging and not too difficult.

[0109] In summary, the indoor and outdoor collaborative learning and inquiry-based teaching system provided by the present invention organically integrates traditional classroom teaching and outdoor practical activities through technical means, and provides a powerful tool support for the implementation of quality education. The system not only improves teaching efficiency, but also provides students with a richer and more personalized learning experience, and is expected to play an important role in future educational practices. The system of the present invention further includes a writing training module 4, which is communicatively connected to the classroom teaching module 3, and is used to obtain students' writing content and generate personalized writing guidance suggestions. In a preferred embodiment of the present invention, the writing training module 4 uses natural language processing technology to conduct an in-depth analysis of students' writing content, thereby providing targeted guidance.

[0110] Specifically, the writing training module 4 includes a writing guidance unit 41, a content analysis unit 42, and a feedback generation unit 43. The writing guidance unit 41 generates writing topics and outline suggestions based on the content of the outdoor activities. For example, after visiting a history museum, the system may recommend topics such as "The Long River of History in My Eyes" or "The Story Behind the Cultural Relics", and provide corresponding outline frameworks. This guidance helps students to organically combine outdoor experience with writing tasks and improve the pertinence and vividness of writing.

[0111] The content analysis unit 42 is responsible for analyzing the grammar, structure and creativity of the student's writing content. The system of the present invention uses an advanced semantic analysis algorithm, which can accurately identify the structural elements of the article such as the topic sentence and transition paragraph, and evaluate its logical coherence. At the same time, the system can also evaluate the creativity of the student's work by comparing a large number of excellent model essays. Preferably, the creativity score is calculated using the following formula:

[0112]

[0113] Where C is the creativity score; N is the number of evaluation dimensions; w i is the weight of the i-th dimension; s i is the score of the i-th dimension.

[0114] In one embodiment of the present invention, the evaluation dimensions may include novelty of wording, uniqueness of metaphor, plot design, etc., and the weight of each dimension may be dynamically adjusted according to the teaching objectives.

[0115] The feedback generation unit 43 is connected to the content analysis unit 42, and generates personalized writing modification suggestions based on the analysis results. The system of the present invention not only points out the problems in the article, but also provides specific improvement suggestions and examples. For example, for a loosely structured article, the system may suggest adding specific transition sentences and provide corresponding examples. This refined feedback helps students better understand and improve their writing.

[0116] The achievement display module 5 is communicatively connected with the writing training module 4, and is used to organize students' writing works and organize display activities. As described in claim 5, the module includes a work arrangement unit 51, a display planning unit 52, and a mutual evaluation management unit 53. The work arrangement unit 51 classifies and organizes students' writing works, which can be classified by dimensions such as theme, style or quality. The display planning unit 52 is responsible for designing online or offline work display plans. In a preferred embodiment of the present invention, the system supports the construction of a virtual reality exhibition hall, where students can stroll in a virtual environment to appreciate their classmates' works. This immersive experience greatly improves students' participation and interest.

[0117] The mutual evaluation management unit 53 organizes the mutual evaluation of students' works. The system of the present invention adopts an innovative double-blind mutual evaluation mechanism, that is, the evaluator and the evaluated do not know each other's identity. This mechanism effectively avoids the interference of personal feelings and improves the objectivity of the evaluation. At the same time, the system also introduces a credibility algorithm to dynamically adjust the scoring weight of the student according to the accuracy of the student's past evaluation, further improving the reliability of the mutual evaluation results.

[0118] The safety management module 6 is connected to the outdoor activity module 2 in communication, and is an important component of the system of the present invention, and is used to ensure the safety of students in outdoor activities. As described in claim 6, the module includes a location monitoring unit 61, an abnormality identification unit 62, and an early warning trigger unit 63. The location monitoring unit 61 tracks the location of students in outdoor activities in real time. The system of the present invention adopts multi-source positioning technology, combined with GPS, WiFi and Bluetooth beacons, to achieve precise positioning with seamless switching between indoor and outdoor.

[0119] The abnormality identification unit 62 is connected to the position monitoring unit 61 and is responsible for detecting abnormal behavior or position deviation of students. The system uses a machine learning algorithm to establish a model of normal student activities. When a behavior that deviates from the normal pattern is detected, such as staying in an unexpected position for a long time or suddenly accelerating, the system will immediately mark it as an abnormal event. The warning trigger unit 63 is connected to the abnormality identification unit 62 and issues a safety warning when an abnormal situation is detected.

[0120] The system of the present invention adopts a multi-level early warning mechanism. Minor anomalies will send a reminder message to the teacher side, while serious anomalies will send an alarm to both the teacher side and the parent side, and automatically call the preset emergency contact number. This hierarchical early warning mechanism ensures timely response to potential risks while avoiding excessive disturbance to teachers and parents.

[0121] The evaluation feedback module 7 is connected to the classroom teaching module 3 and the writing training module 4 for collecting students' learning performance data and generating an evaluation report. As described in claim 7, the module includes a data collection unit 71, a multidimensional evaluation unit 72 and a report generation unit 73. The data collection unit 71 is responsible for collecting students' performance data in outdoor activities, classroom learning and writing training. The system of the present invention adopts a comprehensive data collection strategy, which not only records learning outcomes, but also pays attention to soft power indicators such as participation and collaboration ability in the learning process.

[0122] The multi-dimensional evaluation unit 72 is connected to the data collection unit 71 to evaluate the student's performance from the dimensions of knowledge mastery, skill application, and emotional attitude. The system of the present invention adopts an innovative fuzzy comprehensive evaluation model, which can better handle qualitative indicators. The core algorithm of the evaluation model is as follows:

[0123]

[0124] Among them, R is the comprehensive evaluation result; W is the weight vector; (r ij ) m×n is the fuzzy relationship matrix; Represents a fuzzy composite operation.

[0125] In practical applications, the weight vector W can be dynamically adjusted according to different teaching objectives to ensure that the evaluation results can accurately reflect the students' all-round development.

[0126] The report generation unit 73 is connected to the multi-dimensional evaluation unit 72 and is responsible for generating a learning evaluation report with pictures and texts. The system of the present invention not only presents quantitative scoring results, but also generates personalized learning suggestions. For example, for students who perform poorly in collaboration, the system may suggest participating in more group activities and provide specific practice methods.

[0127] Through the organic combination of the above modules, the indoor and outdoor collaborative learning and inquiry-based teaching system of the present invention realizes all-round and multi-angle teaching support. The system not only improves teaching efficiency and learning experience, but also provides educators with rich data support, which helps to continuously optimize teaching strategies and methods. In future educational practices, the system of the present invention is expected to play an important role in promoting the innovation and development of educational models. The system of the present invention further includes a home-school interaction module 8, which is communicatively connected to the security management module 6 and the evaluation feedback module 7, and is intended to enhance parents' understanding and participation in the students' learning process. As described in claim 9, the home-school interaction module 8 includes an information push unit 81, an online consultation unit 82 and a family task unit 83.

[0128] The information push unit 81 is responsible for pushing the student's safety status information and learning dynamics to the parent side in real time. In a preferred embodiment of the present invention, the push frequency can be dynamically adjusted according to the importance of the information. For example, safety-related information will be pushed immediately, while daily learning dynamics may be summarized once a day. This flexible push mechanism ensures the timely delivery of important information while avoiding excessive interruptions to parents' daily life and work.

[0129] The online consultation unit 82 supports real-time online communication between parents and teachers. The system of the present invention adopts intelligent diversion technology to automatically guide parents to the appropriate communication channel according to the urgency and complexity of the consultation content. For simple questions, the system will first try to answer them through the intelligent customer service robot; for questions that require professional judgment by teachers, online video consultation will be arranged. This hierarchical processing mechanism greatly improves communication efficiency and reduces the workload of teachers.

[0130] The family task unit 83 is responsible for generating family collaborative learning tasks related to the course content. The system of the present invention customizes personalized family tasks based on the student's personal learning situation and family background. For example, for students who have just visited the science and technology museum, the system may recommend a simple family science experiment to encourage parents and children to explore scientific principles together. These family collaborative learning tasks not only extend and consolidate the outdoor classroom learning content, but also promote interaction and communication among family members.

[0131] Preferably, the system of the present invention adopts a task difficulty adaptive algorithm to dynamically adjust the task difficulty according to family feedback. The core formula of the algorithm is as follows:

[0132] D i+1 =D i +β(F i -F targer )+β(T i -T target ),

[0133] Among them, Di+1 is the difficulty coefficient of the next task; D i is the difficulty coefficient of the current task; F i Rate the quality of the current task; F target Score the quality of goal completion; T i is the completion time of the current task; T target is the target completion time; α and β are the weight coefficients of quality score and completion time respectively.

[0134] In practical applications, α is usually between 0.1 and 0.3, and β is between 0.05 and 0.15. The specific values ​​can be fine-tuned according to educational goals and family circumstances. This dynamic adjustment mechanism ensures that family tasks always remain moderately challenging, stimulating interest in learning without causing excessive pressure.

[0135] Finally, the system of the present invention includes a data analysis module 9, which is in communication with all other functional modules and is the brain of the entire system. As described in claim 10, the data analysis module 9 includes a data aggregation unit 91, a pattern recognition unit 92 and a report generation unit 93.

[0136] The data aggregation unit 91 is responsible for collecting and integrating data from each functional module. The system of the present invention adopts a distributed data processing architecture, which can efficiently process a large amount of heterogeneous data from different sources. Preferably, the system uses Apache Kafka as a real-time data stream processing platform to ensure the real-time and reliability of data.

[0137] The pattern recognition unit 92 is connected to the data aggregation unit 91 and is used to identify teaching patterns and learning rules from massive data. The system of the present invention uses advanced machine learning algorithms, including but not limited to deep learning, reinforcement learning, etc., to mine patterns and trends hidden in the data. For example, the system may find that there is a significant correlation between a certain type of outdoor activity and a specific learning outcome, providing a basis for optimizing teaching design.

[0138] The report generation unit 93 is connected to the pattern recognition unit 92 and is responsible for generating a teaching improvement suggestion report including a data visualization chart. The system of the present invention not only provides static data analysis results, but also supports interactive data exploration. Educators can flexibly adjust the analysis dimensions and parameters through the visualization interface to deeply explore the educational insights behind the data.

[0139] In one embodiment of the present invention, the system adopts an innovative teaching effect prediction model. The model predicts the possible learning effect based on historical data, combined with the current teaching design and student characteristics. The core algorithm of the prediction model is as follows:

[0140] E=f(X1,X2,...,Xn )+∈,

[0141] Where E is the expected teaching effect; f() is a nonlinear mapping function, usually implemented by a neural network; X1, X2, ..., X n are influencing factors, including teaching design characteristics, student characteristics, etc.; ∈ is the random error term.

[0142] This predictive model enables educators to have a scientific expectation of the possible effects of a teaching plan before implementing it, so that they can make necessary adjustments and optimizations.

[0143] Through the in-depth analysis and insight of the data analysis module 9, the system of the present invention can continuously optimize teaching strategies and improve the quality of education. The teaching improvement suggestion report generated by the system includes course design optimization plans and personalized teaching strategy suggestions, providing educators with a powerful decision-making support tool.

[0144] In summary, the indoor and outdoor collaborative learning and inquiry-based teaching system provided by the present invention realizes intelligent management of the entire process from pre-class preparation to post-class evaluation through the organic combination of multiple functional modules. The system not only improves teaching efficiency and learning experience, but also provides educators with rich data support, which helps to continuously optimize teaching strategies and methods. In future educational practices, the system of the present invention is expected to promote the innovation and development of educational models and provide strong technical support for the implementation of quality education.

[0145] It should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An indoor and outdoor collaborative learning and inquiry-based teaching system, characterized in that: include: Pre-course preparation modules for: Generate pre-production video content; Send a warm-up video to students; The outdoor activity module is connected to the pre-class preparation module for: Collect data on students’ outdoor learning; generating a real-time activity report based on the learning data; The classroom teaching module is connected to the outdoor activity module for: receiving the real-time activity report; Dynamically adjust teaching content based on the real-time activity report; The writing training module is connected to the classroom teaching module for: Obtain students’ writing content; Analyze the writing content and generate personalized writing guidance suggestions; The achievement display module is connected to the writing training module for: Organize students’ writing; Organize online or offline work display activities; The safety management module is in communication with the outdoor activity module and is used to: Real-time monitoring of students’ location information; When an abnormal situation is detected, a safety warning is triggered; The evaluation feedback module is connected to the classroom teaching module and the writing training module for: Collect data on students’ learning performance; Generate multi-dimensional learning evaluation reports; The school interaction module is connected to the security management module and the evaluation feedback module for: Push student safety status information to parents; Send learning evaluation reports to parents; The data analysis module is connected to all the above modules and is used to: Summarize and analyze the data of each module; Generate teaching improvement suggestion reports; The system management module is connected to all the above modules and is used to: Manage user permissions; Coordinate the operation of each module.

2. The system according to claim 1, characterized in that The pre-class preparation module includes: A video generation unit, used to generate warm-up video content based on preset teaching objectives; A video sending unit, connected to the video generating unit, for pushing the preheating video content to the student terminal; A learning guidance unit, used to generate a list of pre-study tasks matching the pre-study video content; Among them, the warm-up video content includes a preview of outdoor activity scenes and an introduction to relevant knowledge points.

3. The system according to claim 1, characterized in that The outdoor activity module includes: A data collection unit, used to collect students' location information, moving images and audio data through mobile devices; A real-time analysis unit, connected to the data acquisition unit, for real-time processing and analysis of the acquired data; The task management unit is used to dynamically generate and assign learning tasks according to preset teaching objectives; The real-time activity report includes students' activity tracks, task completion and interaction status.

4. The system according to claim 1, characterized in that The classroom teaching modules include: A content adjustment unit, used to dynamically adjust teaching content and progress according to the real-time activity report; Interactive management units for organizing class discussions and group collaboration activities; Resource push unit, used to push personalized supplementary learning resources according to students' learning situation; Among them, the dynamic adjustment includes adjusting the teaching focus, difficult points and case analysis content.

5. The system according to claim 1, characterized in that The writing training module includes: A writing guidance unit, which is used to generate writing topics and outline suggestions based on the content of outdoor activities; Content analysis unit, which is used to analyze students' writing for grammar, structure and creativity; A feedback generation unit, connected to the content analysis unit, for generating personalized writing revision suggestions; Among them, the personalized writing guidance suggestions include improvement of expression skills and suggestions on material application.

6. The system according to claim 1, characterized in that The achievement display module includes: The work arrangement unit is used to classify and organize students' writing works; Exhibition planning unit, used to design online or offline exhibition plans for works; The mutual evaluation management unit is used to organize mutual evaluation activities among students; Among them, the work display activities include virtual reality exhibition halls and physical work exhibitions.

7. The system according to claim 1, characterized in that The security management module includes: Location monitoring unit to track students’ location in real time during outdoor activities; an abnormality identification unit, connected to the position monitoring unit, for detecting abnormal behavior or position deviation of students; An early warning triggering unit, connected to the abnormality identification unit, is used to issue a safety early warning when an abnormal situation is detected; The safety warning includes sending alarm information to the teacher and parent terminals.

8. The system according to claim 1, characterized in that The evaluation feedback module includes: Data collection unit, used to collect data on students’ performance in outdoor activities, classroom learning and writing training; A multidimensional evaluation unit, connected to the data collection unit, for evaluating student performance from dimensions such as knowledge mastery, skill application, and emotional attitude; A report generating unit, connected to the multi-dimensional evaluation unit, for generating a learning evaluation report with both pictures and texts; The learning evaluation report includes the student's progress trajectory and personalized learning suggestions.

9. The system according to claim 1, characterized in that The home-school interaction module includes: Information push unit, used to push students' safety status information and learning dynamics to parents in real time; Online consultation unit to support real-time online communication between parents and teachers; Family task unit, used to generate family collaborative learning tasks related to course content; Among them, the family collaborative learning tasks are intended to extend and consolidate the outdoor classroom learning content.

10. The system according to claim 1, characterized in that The data analysis module includes: Data aggregation unit, used to collect and integrate data from various functional modules; A pattern recognition unit, connected to the data aggregation unit, for identifying teaching patterns and learning rules from massive data; A report generating unit, connected to the pattern recognition unit, for generating a teaching improvement suggestion report including a data visualization chart; Among them, the teaching improvement suggestion report includes course design optimization plans and personalized teaching strategy suggestions.

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