Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
  • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
  • G06Q50/10—Services
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
  • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
  • G06Q50/10—Services
  • G06Q50/20—Education

Definitions

• This disclosure relates to an information provision device, an information provision method, and an information provision program.
• a device has been proposed for use in cram schools and other educational institutions to acquire biometric information from students during class and assess their psychological state. This device makes it possible to appropriately assess the psychological state of students during class.
• time-series data indicating the learner's psychological state be provided to various recipients, such as learners and their parents, educational institutions, and educational material providers that provide educational materials to educational institutions.
• various efforts can be made to improve educational services or learning efficiency at each recipient.
• the content to be analyzed will differ depending on the data provider, and the data required for analysis will also differ.
• the purpose of this disclosure is to build a system that provides time-series data indicating the psychological state of learners in response to requests from data recipients.
• an information providing device includes: a storage unit for storing time series data indicating the psychological state of a learner in a predetermined time unit; a collection unit that collects data on each item related to the learner's learning behavior corresponding to the time-series data; an extracting unit that, when any of the items of data related to the learning behavior of the learner is designated by a data provider, extracts time-series data corresponding to the designated item of data from the time-series data indicating the psychological states of the plurality of learners stored in the storage unit; a statistical processing unit that statistically processes the time series data extracted by the extraction unit in units in which the data of the specified items are equal to each other; The data providing unit charges the data provider based on an index corresponding to the extracted time-series data, and provides the data provider with the results of the statistical processing.
• This disclosure makes it possible to build a system that provides time-series data indicating a learner's psychological state in response to requests from the data recipient.
• FIG. 6 is a diagram illustrating an example of a system configuration in which an information providing device provides information.
• FIG. 7 is a diagram for explaining an outline of information provided by the information providing device.
• FIG. 8 is a diagram illustrating an example of a hardware configuration of the information providing device.
• FIG. 9 is a first diagram illustrating an example of a functional configuration of an information providing device.
• FIG. 10 is a first diagram illustrating an example of processing unit data.
• FIG. 11 is a second diagram showing an example of processing unit data.
• FIG. 12 is a third diagram illustrating an example of processing unit data.
• FIG. 13 is a fourth diagram illustrating an example of processing unit data.
• FIG. 14 is a fifth diagram illustrating an example of processing unit data.
• FIG. 15 is a sixth diagram illustrating an example of processing unit data.
• FIG. 15 is a sixth diagram illustrating an example of processing unit data.
• FIG. 16 is a seventh diagram illustrating an example of processing unit data.
• FIG. 17 is a flowchart showing the flow of the data collection process and information provision process by the information provision device.
• FIG. 18 is a second diagram illustrating an example of the functional configuration of the information providing device.
• FIG. 19 is a diagram showing an example of processing unit data and evaluation results.
• FIG. 20 is a flowchart showing the flow of information providing processing by the information providing device.
• FIG. 21 is a third diagram illustrating an example of the functional configuration of the information providing device.
• FIG. 22 is a diagram showing an example of processing unit data, a determination result, and a specification result.
• FIG. 23 is another flowchart showing the flow of the information providing process by the information providing device.
• FIG. 1 is a diagram showing an example of an educational institution to which an information providing device is applied.
• the information provision device is applied, for example, to a large cram school.
• a large cram school is one that has school buildings in multiple areas, with each building having multiple classrooms.
• the teacher's room 130 in the school building 110 houses a manager 131 who manages the entire school building 110.
• the manager 131 takes various measures to improve the educational services provided in the school building 110 and to improve the academic ability and learning efficiency of the students studying in the school building 110.
• the manager 131 and the class instructor 121 are collectively referred to as instructors.
• Viewing time period stores the time period (timing) when the learner viewed each section of the video.
• the time period when the learner viewed each section of the video is identified based on the video viewing information data.
• the learner or guardian 620 includes, for example, a learner studying at the school building 110 (school building name: school building I) or the guardian of the learner.
• the learner or guardian 620 includes, for example, - Improving the learning efficiency of learners studying at each school building, including school building 110, etc.
• the learner or guardian 620 will take various measures to analyze the following: - Learners' attitudes towards classes, - Compatibility between the learner and the instructor, ⁇ Learners' strengths and weaknesses, - The impact of learners' pre-class behavior on lessons -The impact of learners' pre-test behavior on the test;
• the learner or guardian 620 requests information from the information providing device 310 by specifying data of an item suitable for analyzing these contents.
• the learner or guardian 620 also obtains data corresponding to the specified item (for example, the results of statistical processing of time-series data indicating the learner's psychological state) from the information providing device 310 in exchange for a
• the information providing device 310 provides statistically processed results and the like in response to requests from data recipients (server devices or terminals owned by educational institutions 610, learners or guardians 620, and educational material providers 630).
• the statistically processed results and the like in response to requests from data recipients refer to, for example, results obtained by processing the following extracted processing targets for each of the following processing units by the following processing method.
• Processing target Time series data indicating the psychological state of the learner corresponding to the data of the item specified by the data provider.
• Processing unit A unit in which data items specified by the data provider are equal to each other.
• ⁇ Processing method statistical processing, etc.
• Memory 802 has a main storage device such as ROM (Read Only Memory) and RAM (Random Access Memory).
• the processor 801 and memory 802 form what is known as a computer, and the computer realizes various functions by the processor 801 executing various programs read onto memory 802.
• the communication device 805 is connected to the network 340 and is used for various communications such as receiving collected data sent from server devices at multiple school buildings and sending information to each data recipient.
• the data generation unit 902 generates time series data indicating the learner's psychological state based on time series data (facial image data, vital data) related to the learner's psychological state contained in the notified collected data (lesson) or collected data (test).
• the following information is stored in the "viewing information" item of the "data related to the learner's lesson" of the collected data (lesson): - Data showing the time periods when learners viewed each section of the text during class; - Data showing the viewing time and number of times that learners viewed each section of the text during class; - Data showing the time periods when learners viewed each section of the online class video; - Data showing the viewing time and number of times that learners viewed each section of the online class video; is stored.
• the extraction unit 904 inputs the time series data indicating the learner's psychological state included in the read collected data to the categorized statistical processing unit 906. At this time, the extraction unit 904 inputs the time series data indicating the learner's psychological state to the categorized statistical processing unit 906 in units of data categories in which the data for the specified item is equal to each other.
• the statistical processing unit 905 performs statistical processing on the time series data indicating the learner's psychological state in units input by the extraction unit 904.
• Statistical processing here includes any statistical processing such as calculating the maximum value, minimum value, average value, median value, standard deviation, and the length of time belonging to each level.
• the data for the items specified by the data provider includes data for one of the items included in "data related to the learner's learning behavior" and data for one of the items included in "data related to the learner's behavior.”
• collected data including the data for the specified items is read out.
• the statistical processing unit 905 performs statistical processing on the time-series data indicating the learner's psychological state included in the read collected data in units where the data for items related to the learner's learning behavior are equal to each other and where the data for items related to the learner's behavior are equal to each other.
• time-series data indicating the learner's psychological state, which has been statistically processed by the statistical processing unit 905, is associated with the data for each item used in the statistical processing and stored as processing unit data in the processing unit data storage unit 912.
• the sectional statistical processing unit 906 performs sectional statistical processing on data segments of the time-series data indicating the psychological state of the learner in units input by the extraction unit 904.
• the sectional statistical processing is a process in which the extraction unit 904 divides the time-series data indicating the psychological state of the learner into multiple data segments based on data for each item related to educational services (each item contains multiple data), and extracts a data segment corresponding to the data for a specified item.
• the data on items related to the learner's learning behavior are equal to each other
• - The data for each item related to educational services is equal to each other, This refers to performing statistical processing on a data division basis.
• the educational material provider 630 can determine the appropriateness of the difficulty level of the "Geometry" unit in the textbook for the subject "Arithmetic" used by the highest level class, for each sub-unit. In this way, based on the results of the statistical processing of categories included in the processing unit data 1100, the educational material provider 630 can determine the appropriateness of the difficulty level of a specific major unit in a textbook for a specific subject, for each sub-unit, depending on the learner's academic ability.
• the statistical processing results included in the processing unit data 1400 allow the learner or parent/guardian 620, to whom the data is provided, to determine which instructors are a good fit for the learner and which are not. In this way, the learner or parent/guardian 620 can determine the compatibility with each instructor for each subject based on the statistical processing results included in the processing unit data 1400.
• processing unit data 15 is a sixth diagram illustrating an example of processing unit data.
• the educational institution 610 to which the data is provided can determine the appropriateness of the difficulty level of each test question in each subject test for a specific learner. In this way, the educational institution 610 can determine the appropriateness of the difficulty level of each test question (each major unit) taken by a specific learner based on the results of the classification statistical processing included in the processing unit data 1500.
• Fig. 17 is a flowchart showing the flow of the data collection process and the information provision process executed by the information provision device.
• step S1702 the information providing device 310 acquires data related to the learner's lessons or data related to the learner's tests, associates it with time-series data indicating the learner's psychological state, and stores it in the collected data storage unit 911.
• step S1704 the information providing device 310 acquires data related to the learning environment or the test environment, associates it with time-series data indicating the learner's psychological state, and stores it in the collected data storage unit 911.
• step S1706 determines whether the data collection process should be terminated. If it is determined in step S1706 that the data collection process should be terminated (YES in step S1706), the data collection process is terminated.
• step S1712 the information providing device 310 extracts and reads collected data corresponding to the specified item of data included in the request.
• step S1714 the information providing device 310 charges the data provider based on the time-series data indicating the learner's psychological state used in the statistical processing or segmented statistical processing.
• step S1715 the information providing device 310 provides information including the statistical processing results or the segmented statistical processing results to the data providing destination.
• step S1716 the information providing device 310 determines whether to continue the information providing process. If it is determined in step S1716 that the information providing process should be continued (NO in step S1716), the process returns to step S1711.
• the collected data storage unit 911 stores time-series data indicating the psychological state of the learner, for each lesson or test of one subject.
• -Has a data collection unit 901 that collects data on each item related to the learner's learning behavior, data related to educational services, data related to the environment, and data related to the learner's behavior, which correspond to time-series data indicating the learner's psychological state.
• It has an extraction unit 904 that, when data for any of the items of data related to the learner's learning behavior is specified by the data provider, extracts time-series data corresponding to the specified item of data from the collected data storage unit 911.
• the apparatus includes a statistical processing unit 905 that performs statistical processing on the time series data extracted by the extraction unit 904 in units where the data of the specified items are equal to each other.
• the apparatus includes a classification statistical processing unit 906 that performs classification statistical processing on the data classifications of the time series data extracted by the extraction unit 904 in units where the data of the specified items are equal to each other.
• the providing unit 908 charges the data provider according to the data indicating the psychological state of the learner extracted by the extracting unit 904, and provides the results of the statistical processing or the classified statistical processing to the data provider.
• the information providing device 310 provides the data to the data providing destination with information including the results of statistical processing or the results of segmented statistical processing of data of designated items in equal units.
• the information provided to the data providing destination by the information providing device 310 is not limited to this.
• statistical processing according to the classification of the teaching material may be performed, and information including the results of the statistical processing of teaching material classification may be provided to the data recipient.
• the classification of teaching materials is as follows: if the teaching materials are videos distributed in online classes, ⁇ "Chapters” corresponding to major units, - “Sections” corresponding to small units, - Refers to the "screens” contained in each “section", the “areas” contained in each "screen”, etc.
• time series data corresponding to the viewing time period when each learning material category was viewed is extracted from the time series data indicating the learner's psychological state. This makes it possible to realize learning material category statistical processing in which the time series data indicating the learner's psychological state is statistically processed in units of data categories where the learning material categories are equal.
• the second embodiment will be described below, focusing on the differences from the first embodiment described above.
• FIG. 18 is a second diagram showing an example of the functional configuration of an information providing device.
• the functional configuration of the information providing device 1800 shown in FIG. 18 differs from that of the information providing device 310 shown in FIG. 9 in that the information providing device 1800 shown in FIG. 18 has a teaching material category statistical processing unit 1802 and an evaluation unit 1803.
• the functional configuration of the information providing device 1800 shown in FIG. 18 also differs from that of the information providing device 310 shown in FIG. 9 in that the functions of the extraction unit 1801 and the charging index calculation unit 1804 are different from those of the extraction unit 904 and the charging index calculation unit 907 shown in FIG. 9.
• the extraction unit 1801 extracts and reads out collected data from the collected data storage unit 911 in accordance with the data of the specified items included in the request notified by the request receiving unit 903.
• the request received by the request receiving unit 903 includes the following data items included in the "data related to the learning behavior of the learner": - A combination of “class format” data, “subject” data, “unit” data, and “textbook type” data, or ⁇ A combination of "class format” data, "subject” data, and “unit” data, or - Combination of "subject” data and "test name” data
• the request received by the request receiving unit 903 includes the following items included in the "data related to the learner's learning behavior”: ⁇ "Browser Information” Therefore, the extraction unit 1801 reads out collected data including a combination of the specified "lesson format” data, "subject” data, "unit” data, and "text type” data from the collected data storage unit 911.
• the extraction unit 1801 reads out collected data including a combination of the specified "lesson format” data, "subject” data, and “unit” data from the collected data storage unit 911.
• the extraction unit 1801 reads out collected data including a combination of the specified "subject” data and "test name” data from the collected data storage unit 911.
• the extraction unit 1801 inputs the time series data indicating the learner's psychological state contained in the read collected data to the teaching material category statistical processing unit 1802. At this time, the extraction unit 1801 inputs the time series data indicating the learner's psychological state to the teaching material category statistical processing unit 1802 in units of data categories in which the teaching material categories are equal, so that teaching material category statistical processing is performed in units of data categories in which the teaching material categories are equal.
• performing statistical processing of teaching material classes on time-series data in units of data classes where the classes of teaching materials are equal to each other means: - A data category of the time series data in a time period when a specific teaching material category included in the viewing information associated with one of the time series data was viewed; and - Data classification of the time series data in the time period when the same teaching material classification included in the viewing information associated with the other time series data was viewed, and This refers to grouping the data into a group and performing statistical processing on each group.
• the extraction unit 1801 also inputs the viewing time and number of views of the viewing information included in the read collected data to the learning material category statistical processing unit 1802. At this time, the extraction unit 1801 inputs the viewing time and number of views to the learning material category statistical processing unit 1802 in units of equal learning material categories so that learning material category statistical processing is performed in units of equal learning material categories.
• performing statistical processing of teaching material classifications for viewing time and number of viewings in units of equal teaching material classifications means: - The viewing time and number of times a specific educational material category was viewed, which is included in the viewing information associated with one of the time-series data; The viewing time and number of times the same educational material category was viewed, which are included in the viewing information associated with the other time-series data, This refers to grouping the data into a group and performing statistical processing on each group.
• the learning material category statistical processing unit 1802 performs learning material category statistical processing on data categories of time-series data indicating the learner's psychological state in units input by the extraction unit 1801.
• the learning material category statistical processing unit 1802 also performs learning material category statistical processing on the viewing time and number of views of the viewing information included in the collected data in units input by the extraction unit 1801.
• the teaching material category statistical processing unit 1802 associates the results of the teaching material category statistical processing with the data of the specified item and stores them as processing unit data in the processing unit data storage unit 1812.
• the billing index calculation unit 1804 calculates an index for specifying the amount to be charged to the data provider when providing information in response to a request from the data provider.
• the index calculated by the billing index calculation unit 1804 includes the evaluation method used by the evaluation unit 1803 (for example, the granularity of the educational material classification when evaluated). This allows the providing unit 908 to charge the data provider an amount according to the evaluation method, and then provide the data provider with information including the results of the educational material classification statistical processing and the evaluation results.
• the teaching material category statistical processing unit 1802 ⁇ Perform statistical processing of teaching material classification on data classification of time series data showing the learner's psychological state on a page-by-page basis, - Statistical processing of the teaching material classification was performed on page-by-page basis for viewing time and number of views. It shows the situation.
• the information providing device 1800 can evaluate each sub-unit included in a specific major unit of a text for a specific subject on a page-by-page basis. While the example in FIG. 19 shows evaluation on a page-by-page basis, it is also possible to perform the teaching material classification statistical processing on a page-by-page basis and evaluation on a sub-unit-by-unit basis. Alternatively, the teaching material classification statistical processing can be performed on a page-by-page basis and evaluation on a major unit-by-unit basis.
• Fig. 20 is a flowchart showing the flow of the information provision process by the information provision device. The differences from the flowchart described using Fig. 17(b) are steps S2001 to S2004.
• step S2001 the information providing device 1800 performs statistical processing of the teaching material categories on the collected data that has been read, and generates processing unit data.
• step S2003 the information providing device 1800 charges the data provider based on the indicators used in the teaching material classification statistical processing, including the time-series data indicating the learner's psychological state and the evaluation method.
• step S2004 the information providing device 1800 provides the data recipient with information including the teaching material category statistical processing results and the evaluation results.
• evaluation results for each category of educational material can be provided to the data recipient.
• the request receiving unit 2101 receives a request from a data destination.
• the request from the data destination includes data and conditions of items specified by the data destination.
• the request from the data destination includes: - A combination of "class format” data, “subject” data, “unit” data, and “textbook type” data, or ⁇ Combination of "class format” data, "subject” data, and “unit” data, - Combination of "subject” data and "test name” data, Includes any combination of:
• the request from the data provider includes: ⁇ "Browser Information" Includes:
• the request from the data provider includes: - The conditions that each category of teaching materials (text, video, test questions) must meet, Includes:
• the determination unit 2102 When the determination unit 2102 is notified of the conditions from the request receiving unit 2101 via the extraction unit 1801, it references the results of the statistical processing of the teaching material category of the processing unit data stored in the processing unit data storage unit 1812. The determination unit 2102 also determines whether the results of the statistical processing of the teaching material category satisfy the notified conditions, and stores the determination result in the processing unit data storage unit 1812 in association with the results of the statistical processing of the teaching material category.
• the identification unit 2103 identifies the category of teaching material that is determined to satisfy the conditions in the processing unit data including the determination results.
• the identification unit 2103 notifies the provision unit 908 of the identified teaching material category. This enables the provision unit 908 to provide the data recipient with the teaching material category that meets the conditions specified by the data recipient as the identification result.
• the billing index calculation unit 2104 calculates an index for determining the amount to be charged to the data provider when providing information in response to a request from the data provider.
• the index calculated by the billing index calculation unit 2104 includes the determination method (e.g., specified conditions) used by the determination unit 2102. This allows the providing unit 908 to charge the data provider an amount according to the determination method and then provide the data provider with the determination result.
• the determination result associated with processing unit data 1900 indicates the result of determining whether the results of statistical processing of teaching material categories satisfy the conditions specified by the data provider.
• reference numeral 2200 indicates a specific example of the identification result identified by the identification unit 2103.
• the identification result includes the following information items: "subject,” “text type,” “unit,” “teaching material (text) category,” and “category that satisfies the conditions.”
• Fig. 23 is a third flowchart showing the flow of the information provision process by the information provision device. The differences from the second flowchart described using Fig. 20 are steps S2301 and S2302 to S2304.
• step S2303 the information providing device 2100 charges the data provider based on the indicators used in the teaching material classification statistical processing, including the time-series data indicating the learner's psychological state and the assessment method.
• the information providing device 2100 For time-series data indicating the psychological state of the learner, statistical processing of teaching material classification is performed in units of data classifications in which the classification of teaching materials is equal to each other. - Statistical processing of teaching material classification is performed for the viewing time and number of viewings of the viewing information included in the data related to the learner's learning behavior, in units of equal classification of teaching materials. - It is determined whether the results of statistical processing of educational material classification satisfy the conditions specified by the data provider, and the classification of educational materials that are determined to satisfy the conditions is identified. - Information including the results of statistical processing of teaching material classification and the results of identification is provided to the data recipient.
• the third embodiment it is possible to provide the data recipient with a category of teaching materials that meets the conditions specified by the data recipient.
• the information provided by the information providing devices 1800 and 2100 according to the second and third embodiments allows the learning material provider 630 to review each section of the learning material (text, video, test questions).
• a specific example of reviewing learning materials using viewing information will be described below. - Based on the "viewing time period" and “time series data showing the learner's psychological state,” it is possible to determine the degree of bias in the time periods when the learning materials were viewed.
• the viewing time period is problematic. As a result, this data can be excluded as an "outlier" from the evaluation of the learning materials themselves.
• the system may be configured to analyze the content of the learner's writings using image analysis or other methods. For example, if the learner's writing in the textbook is incorrect and the learner's level of focus is low, it can be determined that "the learner is not absorbing the learning content.” Furthermore, if the learner writes incorrectly but is highly focused, it can be determined that "the learning content is too difficult for the learner, and the instructor may be speaking at a speed that the learner cannot keep up with.” - In the case of teaching materials (test questions), if a learner makes many incorrect answers and is highly focused, it can be determined that "the content has not been fully absorbed" or "the test may be too difficult for the learner.” Also, if a learner makes many incorrect answers and their level of focus has decreased, it can be determined that "they may be making careless mistakes.”
• the educational institution 610 can issue a warning to the instructor who is teaching a lesson on a page with a poor evaluation result (for example, a page where learners have low concentration). Specifically, the educational institution 610 can advise the instructor to take time to encourage learners to understand the page with a poor evaluation result.
• a configuration may be adopted in which a warning or advice is automatically displayed to the instructor when the instructor comes across a page with a poor evaluation result based on the information provided by the information providing device 1800.
• the text provided by the learning material provider 630 was described as being printed material, but the text provided by the learning material provider 630 may also be electronic data. If the text was printed material, it was necessary to use the lesson content and gaze data to identify the time period when each section of the text was viewed, etc. In contrast, if the text is electronic data, it is not necessary to use the lesson content to identify the time period when each section of the text was viewed, but rather it can be identified based on the learner's gaze data.
• the data provider when a request is made from the data provider, the data provider is charged based on an index corresponding to the extracted time-series data, but the timing of charging, charging method, and charging amount are not limited to this.
• the data provider may be charged a fixed amount on a predetermined day of each month.
• the data recipient may, for example, pay each time it is charged.
• the data recipient may, for example, purchase points in advance and use the purchased points to pay each time data is provided.
• the information providing system 600 has been described as having one information providing device 310, 1800, or 2100, but the information providing system 600 may have multiple information providing devices.
• each information providing device may be configured to independently execute an information feedback program, or each information providing device may be configured to cooperate with each other to execute an information feedback program.
• the application of the information providing device is not limited to educational institutions.
• the information providing device may be applied to situations in which services related to qualification study, vocational training, in-house/off-site training for working adults, reskilling, and other education are provided.
• the information providing device disclosed herein even in such applications, it is possible to create a system that provides time-series data indicating the psychological state of learners in response to a request from the data providing party.
• System 310 Information providing device 610: Educational institution 620: Learner or guardian 630: Educational material provider 901: Data collecting unit 902: Data generating unit 903: Request receiving unit 904: Extracting unit 905: Statistical processing unit 906: Category statistical processing unit 907: Charging index calculating unit 908: Providing unit 1800: Information providing device 1801: Extracting unit 1802: Educational material category statistical processing unit 1803: Evaluating unit 1804: Charging index calculating unit 2100: Information providing device 2101: Request receiving unit 2102: Determining unit 2103: Identifying unit 2104: Charging index calculating unit

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