Search

JP-7856135-B2 - Information processing device, information processing method, and information processing program

JP7856135B2JP 7856135 B2JP7856135 B2JP 7856135B2JP-7856135-B2

Inventors

  • 赤穂 拓哉

Assignees

  • カシオ計算機株式会社

Dates

Publication Date
20260511
Application Date
20241219

Claims (6)

  1. From learning information including a first history associated with the activation date of the learning material data and information for identifying the learning material data, and a second history associated with the test implementation date and the test results, the learning material data is extracted where the test results satisfy predetermined conditions and, based on the first and second histories, the activation date of the learning material data is earlier than the test implementation date. Output information to identify the extracted educational material data. An information processing device equipped with a control unit.
  2. The aforementioned predetermined condition is that the score on the test is equal to or greater than the standard value. The control unit extracts information from the learning information in which the test score is above a certain threshold, to identify the learning material data whose activation date is earlier than the test execution date. The information processing apparatus according to claim 1.
  3. The information processing apparatus according to claim 1, characterized in that the control unit extracts information for identifying the teaching material data where the test result satisfies the predetermined conditions, and the activation date of the teaching material data is earlier than the test implementation date and within a predetermined period from the test implementation date.
  4. The aforementioned predetermined condition is that the score on the test is higher than the score on the previous test. The control unit extracts information from the learning information in which the test score has improved compared to the previous test score, to identify the learning material data whose activation date is before the test date and after the previous test date. The information processing apparatus according to claim 1.
  5. An information processing method performed by an information processing device, From learning information including a first history associated with the activation date of the learning material data and information for identifying the learning material data, and a second history associated with the test execution date and the test results, extract the learning material data in which the test results satisfy predetermined conditions and the activation date of the learning material data is earlier than the test execution date based on the first and second histories . To output information for identifying the extracted educational material data, Information processing methods including
  6. From learning information including a first history associated with the activation date of the learning material data and information for identifying the learning material data, and a second history associated with the test execution date and the test results, extract the learning material data in which the test results satisfy predetermined conditions and the activation date of the learning material data is earlier than the test execution date based on the first and second histories . To output information for identifying the extracted educational material data, An information processing program that causes a processor to execute an action.

Description

This invention relates to an information processing device, an information processing method, and an information processing program. Recent electronic devices such as electronic dictionaries are configured to store not only dictionary data but also various educational materials to support learning, such as reference book data. Furthermore, some electronic devices of this type have a function to add educational material data. Some even offer custom functionality, allowing users to purchase electronic devices with added educational material data based on their requests. Japanese Patent Publication No. 2012-208143 Figure 1 shows an example of the configuration of a system according to the embodiment.Figure 2 shows the detailed configuration of the system.Figure 3 shows an example of learning information 143.Figure 4 shows an example of learning information 244.Figure 5 is a flowchart showing the operation of the server.Figure 6 is a flowchart showing the operation of an electronic dictionary.Figure 7 shows an example of the top screen.Figure 8 is a flowchart showing an example of the proposal process.Figure 9 shows an example of the proposed top screen.Figure 10 shows an example of a proposed screen.Figure 11 is a flowchart illustrating the material extraction process. The embodiments will be described below with reference to the drawings. Figure 1 shows an example of the configuration of System 1 according to the embodiment. System 1 includes an electronic dictionary 10 and a server 20. The electronic dictionary 10 and the server 20 are connected to each other via a network 30. The network 30 is, for example, the Internet. Although Figure 1 shows three electronic dictionaries 10, the number of electronic dictionaries 10 is not limited to three. In this embodiment, it is assumed that the three electronic dictionaries 10 are used by different users. Figure 2 shows a detailed configuration of System 1. Here, Figure 2 shows a representative electronic dictionary 10. The electronic dictionary 10 includes a processor 11, ROM 12, RAM 13, storage 14, input device 15, display device 16, and communication device 17. Each of these is connected to the others via a system bus 18. The electronic dictionary 10 may also be an electronic device such as a personal computer (PC), tablet terminal, or smartphone with an electronic dictionary application installed. Processor 11 is a processor that controls various operations of the electronic dictionary 10. Processor 11 may be an integrated circuit including a CPU (Central Processing Unit), etc. Other processors besides a CPU may be used as processor 11, such as an ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), GPU (Graphic Processing Unit), etc. ROM 12 stores the startup program and other data for the electronic dictionary 10. RAM 13 is the main memory for the processor 11 and other components. The storage unit 14 can function as a memory unit. The storage unit 14 stores various programs, parameters, etc., such as the electronic dictionary control program used by the processor 11. The processor 11 controls the operation of the electronic dictionary 10 by executing various programs in response to input signals from the input device 15. These various programs include, for example, the teaching material processing program 141. The teaching material processing program 141 is a program for performing various processes on the content contained in the teaching material data 142 based on user instructions. For example, the teaching material processing program 141 may be a program for displaying the content contained in the teaching material data 142 on the display device 16, and for returning a response to user instructions regarding the displayed content. The learning material data 142 consists of various content data used for user learning, such as dictionary data and reference book data. For example, dictionary data is content data that stores words and phrases, such as those found in Japanese dictionaries and English-Japanese dictionaries, along with their meanings. Reference book data is content data that stores explanations from textbooks and simple practice problems for checking understanding. Furthermore, the learning material data 142 includes test data. Test data is content data for conducting various tests. Test data may be generated by referencing practice problem data. The learning material data 142 may also be added, for example, by downloading from server 20. Furthermore, in this embodiment, learning information 143 is stored in the storage 14. The learning information 143 is information about the learning history performed by the user using the electronic dictionary 10. In this embodiment, the learning history includes the launch history of dictionary data, reference book data, problem set data, etc., as learning aimed at improving one's academic ability, and the test execution history using test data as learning aimed at confirming