CN109255019B - On-line question bank query and application method thereof - Google Patents
On-line question bank query and application method thereof Download PDFInfo
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- CN109255019B CN109255019B CN201811041409.2A CN201811041409A CN109255019B CN 109255019 B CN109255019 B CN 109255019B CN 201811041409 A CN201811041409 A CN 201811041409A CN 109255019 B CN109255019 B CN 109255019B
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Abstract
The invention relates to the technical field of on-line inquiry of question banks, in particular to an on-line inquiry question bank and an application method thereof, wherein the on-line question bank comprises an input module, a search module, a question bank system, a display module, a calculation module, a question classification module, a mistake-prone question bank module and a server, the input module is connected with the search module, the search module is connected with the question bank system, the question bank system is respectively connected with the display module and the calculation module, the calculation module is connected with the question classification module and the mistake-prone question bank module, the question classification module and the mistake-prone question bank module are both connected with the server, the server is connected with the display module, the question bank system comprises a storage unit, a matching unit, an extraction unit and a sorting unit, the storage unit is connected with the matching unit, and the matching unit is connected with the. The invention locks the exercises through the keywords, carries out advanced classification on the exercises, can generate the wrong exercise library, has strong pertinence, improves the learning efficiency of the user and has strong autonomy of the user.
Description
Technical Field
The invention relates to the technical field of on-line question bank query, in particular to an on-line question bank query and an application method thereof.
Background
With the continuous progress of internet technology and the continuous popularization of computers, in recent years, a novel education form based on network development is being widely spread, and with the increasing demand of users for distance learning and various learning, online inquiry education is more and more accepted by users. The on-line question bank inquiring system is used as an auxiliary learning platform, develops a new learning guidance mode, innovates a channel for acquiring the exercises, and wins a large number of users for mass exercise resources, convenient and practical learning and question selecting experience.
In the existing on-line question bank inquiring system, a large number of exercises are generally used for users to practice, the user needs to do all the exercises from head to tail after entering a set of exercises, then sometimes the user does not need the exercises, sometimes only needs to do a certain kind of exercises, namely the existing on-line question bank inquiring system is lack of pertinence, and therefore the existing on-line question bank inquiring system and the application method thereof are provided for solving the problems.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides an on-line question bank query method and an application method thereof.
The invention provides an on-line question bank query method, which comprises an input module, a search module, a question bank system, a display module, a calculation module, a question classification module, an error-prone question bank module and a server, the input module is connected with the search module, the search module is connected with the question bank system, the question bank system is respectively connected with the display module and the calculation module, the calculation module is connected with the exercise classification module and the error-prone exercise library module, the exercise classification module and the error-prone exercise library module are both connected with the server, the server is connected with the display module, the question bank system comprises a storage unit, a matching unit, an extraction unit and a sorting unit, the storage unit is connected with the matching unit, the matching unit is connected with the extraction unit, the extraction unit is connected with the sorting unit, and the calculation module comprises a problem difficulty calculation unit and an error prone problem calculation unit.
Preferably, the input module inputs the keyword and transmits the input keyword to the search module.
Preferably, the search module searches the received keywords and transmits the keywords to the question bank system, the question bank system stores the received keywords, then searches exercises matched with the keywords, extracts and sorts the exercises, finally transmits the sorted exercises to the display module, and the display module displays the received exercises.
Preferably, the problem base system transmits the problems to the calculation module, the calculation module calculates difficulty and easiness of the problems according to a big data algorithm, calculates error-prone problems according to a big data algorithm to form an error-prone problem base, and then transmits the calculated problems to the problem classification module and the error-prone problem base module respectively.
Preferably, the exercise classification module performs progressive classification and sorting on the received exercises, and the error-prone exercise library module performs classification and sorting on the received exercises.
Preferably, the exercise classification module and the error-prone exercise library module transmit the classified and sequenced exercises to the server, and the server divides the received exercises into two types of exercises with different difficulty and error-prone exercises and stores the exercises.
Preferably, the search module transmits the searched keywords to the server, the server extracts the problems from the problems which are divided into problems with different difficulty degrees and problems which are easy to mistake according to the received keywords, transmits the problems to the display module, and the display module displays the problems.
Preferably, the problem difficulty calculating unit calculates the difficulty of the problem, and the error-prone problem calculating unit counts the error-prone problem.
The invention also provides an application method for inquiring the question bank on line, which comprises the following steps:
s1, inputting keywords, inputting the keywords in the input module, and transmitting the input keywords to the search module by the input module;
s2, searching keywords, wherein the searching module searches the received keywords and transmits the keywords to the question bank system;
s3, pushing matched problems, wherein the problem bank system stores received keywords, searches problems matched with the keywords, extracts and sorts the problems, transmits the sorted problems to a display module, displays the received problems by the display module, transmits the problems to a calculation module, calculates difficulty and easiness of the problems according to a big data algorithm by the calculation module, calculates error-prone problems according to the big data algorithm to form an error-prone problem bank, and transmits the calculated problems to a problem classification module and an error-prone problem bank module respectively;
s4, systematic classification, wherein the problem classification module carries out advanced classification and sorting on the received problems, the error-prone problem library module classifies the received problems, the problem difficulty calculation unit calculates the difficulty degree of the problems, and the error-prone problem calculation unit carries out statistical sorting on the error-prone problems;
and S5, the server stores the problems, the problem classification module and the error-prone problem library module transmit the classified and sequenced problems to the storage module, the storage module divides the received problems into two types of problems with different difficulty and different error-prone problems and stores the problems, the search module transmits the searched keywords to the storage module, the storage module extracts the problems from the problems which are divided into the problems with different difficulty and different error-prone problems according to the received keywords and transmits the problems to the display module, and the display module displays the problems.
The invention has the beneficial effects that:
inputting keywords through an input module, transmitting the input keywords to a search module, searching received keywords through the search module, transmitting the keywords to an exercise library system, storing the received keywords through the exercise library system, searching exercises matched with the keywords, extracting and sequencing the exercises, transmitting the sequenced exercises to a display module, displaying the received exercises through the display module, transmitting the exercises to a calculation module through the exercise library system, counting the difficulty of the exercises through the calculation module according to a big data algorithm, counting error-prone exercises according to the big data algorithm to form an error-prone exercise library, and transmitting the calculated exercises to an exercise classification module and an error-prone exercise library module respectively;
the method comprises the steps of carrying out advanced classification and sorting on received exercises through an exercise classification module, sorting, classifying and sorting the received exercises through an exercise classification module and an error prone exercise library module, transmitting the classified and sorted exercises to a server through the exercise classification module and the error prone exercise library module, dividing the received exercises into exercises with different difficulty degrees and error prone exercises through the server, storing the exercises, transmitting searched keywords to the server through a search module, extracting the exercises from the exercises divided into exercises with different difficulty degrees and error prone exercises through the server according to the received keywords, transmitting the exercises to a display module, and displaying the exercises through the display module;
the invention can lock the exercises through the keywords, can carry out advanced classification on the exercises and can generate a wrong exercise library, has strong user autonomy and pertinence and improves the learning efficiency of the user.
Drawings
Fig. 1 is a block diagram of an online question bank query according to the present invention;
fig. 2 is a block diagram of an item bank system for on-line query of an item bank according to the present invention;
FIG. 3 is a block diagram of a computing module for on-line question bank query according to the present invention;
fig. 4 is a flowchart of an application method for on-line question bank query according to the present invention.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
Examples
Referring to fig. 1-4, this embodiment provides an on-line question bank query method, which includes an input module, a search module, a question bank system, a display module, a calculation module, a question classification module, a wrong-prone question bank module and a server, wherein the input module is connected to the search module, the search module is connected to the question bank system, the question bank system is respectively connected to the display module and the calculation module, the calculation module is connected to the question classification module and the wrong-prone question bank module, both the question classification module and the wrong-prone question bank module are connected to the server, the server is connected to the display module, the question bank system includes a storage unit, a matching unit, an extraction unit and a sorting unit, the storage unit is connected to the matching unit, the matching unit is connected to the extraction unit, the extraction unit is connected to the sorting unit, the calculation module includes a question difficult-to-calculate unit and a wrong-prone question calculation unit, and a keyword is input through the, the input keywords are transmitted to a search module, the received keywords are searched through the search module and transmitted to an question bank system, the received keywords are stored through the question bank system, exercises matched with the keywords are searched, the exercises are extracted and sorted, the sorted exercises are transmitted to a display module, the display module displays the received exercises, the exercises are transmitted to a calculation module through the question bank system, the calculation module calculates difficulty and easiness of the exercises according to a big data algorithm, error-prone exercises are calculated according to the big data algorithm to form an error-prone exercise bank, and the calculated exercises are transmitted to an exercise classification module and an error-prone exercise bank module respectively; the method comprises the steps of carrying out advanced classification and sorting on received exercises through an exercise classification module, sorting, classifying and sorting the received exercises through an exercise classification module and an error prone exercise library module, transmitting the classified and sorted exercises to a server through the exercise classification module and the error prone exercise library module, dividing the received exercises into exercises with different difficulty degrees and error prone exercises through the server, storing the exercises, transmitting searched keywords to the server through a search module, extracting the exercises from the exercises divided into exercises with different difficulty degrees and error prone exercises through the server according to the received keywords, transmitting the exercises to a display module, and displaying the exercises through the display module; the invention can lock the exercises through the keywords, can carry out advanced classification on the exercises and can generate a wrong exercise library, has strong user autonomy and pertinence and improves the learning efficiency of the user.
The embodiment also provides an application method for inquiring the question bank on line, which comprises the following steps:
s1, inputting keywords; s2, searching keywords; s3, pushing matching exercises; s4, system classification; s5, server storage.
In the embodiment, the input module inputs keywords, the input keywords are transmitted to the search module, the search module searches the received keywords and transmits the keywords to the question bank system, the question bank system stores the received keywords, then searches exercises matched with the keywords, extracts and sorts the exercises, finally transmits the sorted exercises to the display module, the display module displays the received exercises, the question bank system transmits the exercises to the calculation module, the calculation module counts the difficulty of the exercises according to a big data algorithm and counts error-prone exercises according to a big data algorithm to form an error-prone exercise bank, then the calculated exercises are respectively transmitted to the exercise classification module and the error-prone exercise bank module, the exercise classification module carries out rank classification and sorting on the received exercises, the error-prone exercise bank module classifies the received exercises, the problem classification module and the easy-to-error problem library module transmit the classified and sequenced problems to the server, the server divides the received problems into two types of problems with different difficulty degrees and easy-to-error problems, and stores the problems, the search module transmits the searched keywords to the server, the server divides the problems into the problems with different difficulty degrees and the easy-to-error problems according to the received keywords, extracts the problems from the problems and the easy-to-error problems, and transmits the problems to the display module, the display module displays the problems, the problem difficult-to-error calculation unit calculates the difficulty degrees of the problems, and the easy-to-error problem calculation unit calculates the easy-to-error problems.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (2)
1. An on-line question bank inquiry system comprises an input module, a search module, a question bank system, a display module, a calculation module, a question classification module, an error-prone question bank module and a server, it is characterized in that the input module is connected with the search module, the search module is connected with the question bank system, the question bank system is respectively connected with the display module and the calculation module, the calculation module is connected with the exercise classification module and the error-prone question bank module, the exercise classification module and the error-prone exercise library module are both connected with a server, the server is connected with a display module, the problem bank system comprises a storage unit, a matching unit, an extraction unit and a sorting unit, wherein the storage unit is connected with the matching unit, the matching unit is connected with the extraction unit, the extraction unit is connected with the sorting unit, and the calculation module comprises a problem difficulty calculation unit and a problem error prone calculation unit; the input module inputs keywords and transmits the input keywords to the search module; the search module searches the received keywords and transmits the keywords to the question bank system, the question bank system stores the received keywords, then searches exercises matched with the keywords, extracts and sorts the exercises, and finally transmits the sorted exercises to the display module, and the display module displays the received exercises; the problem base system transmits the problems to the calculation module, the calculation module counts difficulty of the problems according to a big data algorithm, the problem easy to error is counted according to the big data algorithm to form an easy-to-error problem base, and then the calculated problems are respectively transmitted to the problem classification module and the easy-to-error problem base module; the problem classification module and the error-prone problem library module transmit the classified and sequenced problems to the server, and the server divides the received problems into two types of problems with different difficulty and different error-prone problems and stores the problems; the search module transmits searched keywords to the server, the server extracts exercises from the exercises which are divided into exercises with different difficulty degrees and easy errors according to the received keywords, and transmits the exercises to the display module, and the display module displays the exercises; the problem difficulty calculating unit calculates the difficulty degree of the problem, and the error-prone problem calculating unit calculates the error-prone problem.
2. The method as claimed in claim 1, comprising the steps of:
s1, inputting keywords, inputting the keywords in the input module, inputting the keywords by the input module, and transmitting the input keywords to the search module by the input module;
s2, searching keywords, wherein the searching module searches the received keywords and transmits the keywords to the question bank system;
s3, pushing matched problems, wherein the problem bank system stores received keywords, searches problems matched with the keywords, extracts and sorts the problems, transmits the sorted problems to a display module, displays the received problems by the display module, transmits the problems to a calculation module, calculates difficulty and easiness of the problems according to a big data algorithm by the calculation module, calculates error-prone problems according to the big data algorithm to form an error-prone problem bank, and transmits the calculated problems to a problem classification module and an error-prone problem bank module respectively;
s4, systematic classification, wherein the problem classification module carries out advanced classification and sorting on the received problems, the error-prone problem library module carries out classification and sorting on the received problems, the problem difficulty and easiness calculation unit calculates the difficulty degree of the problems, and the error-prone problem calculation unit carries out statistical sorting on the error-prone problems;
and S5, storing by the server, transmitting the classified and sequenced problems to the server by the problem classification module and the error-prone problem library module, dividing the received problems into two types of problems with different difficulty levels and error-prone problems by the server, storing the two types of problems, transmitting the searched keywords to the server by the search module, extracting the problems from the problems with different difficulty levels and error-prone problems by the server according to the received keywords, transmitting the problems to the display module, displaying the problems by the display module, calculating the difficulty level of the problems by the problem difficulty calculation unit, and counting the error-prone problems by the error-prone problem calculation unit.
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| CN114676334A (en) * | 2022-04-19 | 2022-06-28 | 江苏迈拓网络科技有限公司 | Personalized intelligent exercise recommendation method and recommendation system |
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