CN116110262A - Speech answer evaluation method, device, equipment and storage medium - Google Patents
Speech answer evaluation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for judging voice answer questions, wherein the method comprises the following steps: acquiring a teacher question voice on a classroom, and acquiring a plurality of open answers through a cloud according to the teacher question voice; obtaining answer records after students hear the questions of the teacher; judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record; and sending the student list to be corrected and the related knowledge points to a teacher client and making a corresponding learning plan for each student. The device, the equipment and the storage medium are based on the judgment method of the voice answer. According to the invention, the answering situation of each student in a class is obtained in real time, each student answers the questions against the own student card, the influence of other people is avoided, the following answering phenomenon is avoided, the answering situation of each student is collected through the teacher end, and the situation of the student is mastered practically.
Description
Technical Field
The invention relates to the field of intelligent student cards, in particular to a method, a device, equipment and a storage medium for evaluating voice answers.
Background
At present, computer multimedia technology has been widely introduced into a classroom, and computer multimedia teaching is emerging as an advanced teaching mode which is challenging to the traditional teaching mode, and has obvious advantages and a plurality of problems.
In the existing computer multimedia teaching, more problems of question presetting and homework interaction are preset in advance, related problems of homework arrangement after class are solved, and the problems temporarily proposed by current class teachers cannot be solved, but the teachers temporarily propose the problems in class and answer the students to be normal according to the class effect and the reactions of the students, so that the problems in class cannot be solved in real time.
Disclosure of Invention
The invention mainly aims to provide a voice answer judging method, which is used for acquiring the answer condition of each student in a class in real time, so that each student answers questions against own student card, is not influenced by other people, avoids the following answer phenomenon, collects the answer condition of each student through a teacher end and really grasps the situation of the student.
In order to achieve the above object, the present invention provides a method for evaluating a speech answer, including:
acquiring a teacher question voice on a classroom, and acquiring a plurality of open answers through a cloud according to the teacher question voice;
obtaining answer records after students hear the questions of the teacher;
judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record;
and sending the student list to be corrected and the related knowledge points to a teacher client and making a corresponding learning plan for each student.
Further, after the step of obtaining the answer record after the student hears the teacher question, the method includes:
converting the answer record into an answer text, and executing an answer operation record through a recording function in an answer module of the student card;
and obtaining the answer text of the student and sending the answer text to the teacher client.
Further, the step of judging whether the answer of the answer record needs to be corrected according to the association relationship between the plurality of open answers and the answer record includes:
obtaining a plurality of open answers and answer texts converted from the answer records according to the teacher question voice, calculating the association degree between the answer texts and the open answers, and if the association degree is higher than a threshold value, considering that the answer is correct;
counting the correct number of the answers contained in the answer records of each student;
if the correct number of the answers contained in the answer record is less than the standard answer number, the answers are considered to be needed to be corrected.
Further, the step of calculating the association degree between the answer text and the plurality of open answers includes:
comparing the association degree of the grammar structure between the answer text and the answer;
scoring the association degree of the grammar structure;
the higher the score, the higher the degree of association.
Further, the step of comparing the association degree of the grammar structure between the answer text and the answer comprises the following steps:
dividing the answer text and the answer into a plurality of sub-grammar parts for comparison; wherein the sub-grammar portion includes at least a subject portion, a predicate portion, an object portion, a subject portion, a object portion, a complement portion;
scoring each sub-grammar portion comparison;
each sub-grammar portion score is summed to a total score, the higher the degree of association.
Further, after the step of sending the student list to be corrected and the related knowledge points to the teacher client and making a corresponding learning plan for each student, the method includes:
the student answer texts are sent to a teacher client, and screening is carried out on the student answer texts at the teacher client to obtain recommended answers;
and sending the recommended answers and standard answers screened by the teacher client to a student end.
Further, the making of the corresponding learning plan for each student includes:
counting the student lists to be corrected and the knowledge points involved in the preset time period;
the corresponding learning plan is generated for each student's knowledge points involved.
The invention also provides a voice answering and judging device, which is characterized by comprising the following steps:
a first acquisition module: the method comprises the steps of obtaining a teacher question voice in a classroom, and obtaining a plurality of open answers through a cloud according to the teacher question voice;
and a second acquisition module: the method comprises the steps of obtaining answer records of students after hearing the questions of the teacher;
and a judging module: the answer judging module is used for judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record;
and a sending module: and the system is used for sending the student list to be corrected and the related knowledge points to the teacher client and making a corresponding learning plan for each student.
The invention also provides a computer device which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method when executing the computer program.
The invention also proposes a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the above-mentioned method.
The invention has the beneficial effects that: the invention can acquire the answering situation of each student in the class in real time, and each student answers the questions against the own student card, is not influenced by other people, avoids following the answering phenomenon, and collects the answering situation of each student through the teacher end so as to really grasp the situation of the student. The invention can solve the problem in the class in real time and can perform better class teaching.
Drawings
FIG. 1 is a schematic diagram illustrating steps of a method for evaluating a speech answer according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for evaluating speech answers according to another embodiment of the invention;
fig. 3 is a schematic block diagram of a method for evaluating speech answers according to an embodiment of the present invention;
FIG. 4 is a block diagram of a computer device according to one embodiment of the invention;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Referring to fig. 1, the invention provides a method for evaluating voice answer questions, which is applied to a non-screen student card and comprises the following steps:
s1, acquiring a teacher questioning voice in a classroom, and acquiring a plurality of open answers through a cloud according to the teacher questioning voice;
in the step S1, the server acquires the questions which are proposed by the teacher in the class, wherein the proposed questions can be proposed by the teacher according to the spoken knowledge points temporarily, and the students can consolidate the knowledge points just learned according to the answer questions, so that the students obtain rich and visual teaching information, the teaching capacity of the class is increased, and the better teaching effect is obtained. And then the server acquires a plurality of open answers according to the questions presented by the teacher, the answers to the presented questions are not unique, the students are allowed to post different ideas, and creative thinking is encouraged. For example, the problems are examined on the Chinese reading ability and the expression ability of students, and the innovation consciousness and innovation ability of the students are examined. Students can think about the same question from different angles, different levels and according to different ideas, so that different and correct and reasonable answers can be obtained. Setting open answers can guide students or analysis complexes, or associate imagination, or diverge convergence, or explore criticism to encourage students creative thinking.
S2, obtaining answering records after the students hear the questioning voice of the teacher;
in the step S2, after hearing the questions raised by the teacher, each student answers the questions against the student card of the student, the influence of other people is avoided, the following answering phenomenon is avoided, the server side obtains the answering record of the student through the student card, for example, when the students answer together in a class, some students do not want to think about directly plagiarizing the answers of the students beside, and independent thinking of the students is not facilitated.
S3, judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record;
in step S3, the scoring criteria may be divided into several partial scores because of the open answer. Generally, the open test question is a test question form which is opposite to the closed test question and has no fixed answer or unique conclusion, so that various defects of the closed test question are overcome to a great extent, and the open test question has the advantage that the closed test question cannot be replaced in the aspects of examining the flexibility and the universality of thinking of students, examining the practical ability and innovation consciousness of the students, emotion, attitude, value and the like. The openness updating accords with the development evaluation concept of the new course and is advocated in the academic performance evaluation of the new course. The teacher end judges whether the result of the answering record needs to be pointed according to the relation between the questioning voice and the answering record, the association relation refers to the structural relation between the two questions, such as a grammar structure, the grammar structure can be divided into a main-predicate-guest-definite-shaped list-supplementing language, a main language can be extracted first, whether the main language is consistent or not is compared, and if the main language is consistent, a predicate is compared; and a score can be given after each coincidence, or a similar score can be given when the scores are similar, and finally a total score is given, wherein the total score is the association degree, and if the association degree is higher than a threshold value, the answer is considered to be correct. If the standard answer is: my students witness widely; the student's answer is my student's profuse talent. In this example, the scoring criteria may be divided into two parts, such as an example total score of 10 points, then divided into no parts each of 5 points, the student answer subject is consistent with the standard answer, so that 5 points may be obtained on the subject score, the student's answer on the predicate is similar to the standard answer, so that a similar score may be obtained, such as 3 points, in this example, the student's total score is 8 points, so that the question score threshold is 7 points, the student obtains 8 points at this time, and the student is determined to be answering correctly.
S4, transmitting the student list to be corrected and the related knowledge points to a teacher client and making a corresponding learning plan for each student;
in step S4, the server obtains the student list to be corrected, and the correct list is not only a wrong reply, but sometimes a correct reply is required to be particularly pointed by the teacher. And analyzing what the knowledge points are lacking or unclear in the corrected students, sending the student lists to be corrected and the related knowledge points to the teacher client, and uniformly collecting and informing the students by the teacher to inform the wrong knowledge points. Preferably, the answers of each student are counted, the answers except answer cases are screened by a teacher, the screened answers are sent to a student end together with the original answers, the students can see excellent answers for reference, the students can be prompted to want to select excellent answers, the students are stimulated to go upward, meanwhile, the questions of other students can be learned from the excellent answers, and the teaching and learning overgrowth in another sense is embodied. The answers of the students can be classified, and then one answer is selected from each classification, namely, a representative answer is selected for selection by a teacher, and the answers can be synchronously mapped to a teacher screen after the selection by the teacher, so that the teaching of the teacher is facilitated. After receiving the student lists and the related knowledge points to be corrected, the teacher stores the student lists and the related knowledge points, presets a time period, counts all the student lists and the related knowledge points to be corrected in the time period, and after finishing counting and making a learning plan in the next step, stores the student lists and the related knowledge points in the time period, and starts to set a new time period. For example, the teacher takes lessons in this week, the preset time period is weekly, the teacher end receives the student lists and the related knowledge points to be corrected in this week, and counts all the student lists and the related knowledge points in this week to make a summary, so that a student plan can be better formulated. The plan is made on the premise of self-control and self-management, so that the waste of time can be reduced and the learning efficiency can be improved. The corresponding learning plan is generated for the knowledge points involved by each student, and not only for the students needing correction, but also for the students not needing correction. The length and the short position of each student are found out so as to determine the learning characteristics and the development direction of the students, the knowledge points of the actual defects and the actual teaching progress are considered, and the learning distant target, the learning medium-term target and the learning near target are determined in time. Specific goals for each lesson and each learning activity are determined on the content. Preferably, each student's plan is biased towards what needs to be corrected in learning and what is important in the knowledge system.
The whole S1 to S4 steps can achieve real-time acquisition of the answering situation of each student on a classroom, each student answers questions against own student card, the answering situation is not affected by other people, the answering phenomenon is avoided, the answering situation of each student is collected through a teacher end, and the situation of the student is mastered practically. Compared with the existing computer multimedia teaching, the invention has more operation interaction or preset question questions in advance, and can perform better classroom teaching. In addition, compared with the situation that the existing computer multimedia teaching does not generate a corresponding learning plan aiming at students, the method and the system can enable the students to consolidate knowledge points which are learned less well in the course after the course, and learn the knowledge points better.
Further, after obtaining the answer record after the student hears the teacher question, the method includes:
converting the answer record into an answer text, and executing an answer operation record through a recording function in an answer module of the student card;
and obtaining the answer text of the student and sending the answer text to the teacher client.
In this embodiment, after the students hear the questions posed by the teacher, each student answers the questions against his own student card, and is not affected by other people, so as to avoid following the answering phenomenon, better cultivate the independent thinking of the students, and the server obtains the answering record of the students through the student card, recognizes the answering record and converts the answering record into an answering text, and for the next step, better compares the answer with the answer, and more directly compares the answer. Preferably, after the server converts the answer record into an answer text, the answer text is timely sent to the teacher client, and the answer text can be timely compared with the answer. In the example, students can timely feed back answers to questions provided by teachers in a class, and the students can timely consolidate knowledge points just learned while learning the next knowledge points.
Further, referring to fig. 2, according to the relationship between the question voice and the answer record, determining whether the answer of the answer record needs to be corrected includes:
s51, obtaining a plurality of open answers and answer texts converted from the answer records according to the question voice, calculating the association degree between the answer texts and the open answers, and if the association degree is higher than a threshold value, considering that the answer is correct;
s52, counting the correct number of the answers contained in the answer records of each student;
and S53, if the number of correct answers contained in the answer record is less than the number of standard answers, the answers are considered to be corrected.
In step S51, according to the question and answer voices, the relevance between the text converted from the voices and the answer is compared, and if the relevance is higher than the threshold, the answer is considered to be correct. For example, the degree of association between the grammatical structural relations of the answer text and the grammatical structural relations between the respective answers; if the association degree is higher than the threshold value, the answer is considered to be correct; or the association degree of the semantic relation between the answer text and each answer; or the degree of association of the answer text with the order of the respective answers. For example, the problems are examined on the Chinese reading ability and the expression ability of students, and the innovation consciousness and innovation ability of the students are examined. Students can think about the same question from different angles, different levels and according to different ideas, so that different and correct and reasonable answers can be obtained. Setting open answers can guide students or analysis complexes, or associate imagination, or diverge convergence, or explore criticism to encourage students creative thinking.
For step S52, in this embodiment, the answers of each student answer are different, so that the situation that the number of answers of each student answer is different can occur, the answers of the students need to be compared with the number of answers, and the number of the students and the number of correct answers are counted, so that the quality of each student answer can be seen more intuitively.
For step S53, in this embodiment, if the number of answers or the number of correct answers is less than the number of standard answers, it is considered that the student has not completely mastered the knowledge point, and correction is required for the student, so that the student can keep in mind that the student does not make the same mistake, and actually mastering the knowledge point. For example, when a teacher gives 5 questions, at least five standard answers are provided, and a student only answers three questions, and the number of the answers is obviously less than that of the standard answers, so that the student is considered to have no knowledge points for the other two questions, and the student is considered to need to correct at the moment.
Further, the calculating the association degree between the answer text and the answer includes:
comparing the association degree of the grammar structure between the answer text and the answer;
scoring the association degree of the grammar structure;
the higher the score, the higher the degree of association.
In the present embodiment, the basis of natural language processing is utilized to extract the corresponding grammar structure, and then the grammar structure between the two is calculated. The association relation refers to a structural relation between two rules, such as a grammar structure, wherein the grammar structure can be divided into main predicate-guest definite form list supplement languages, main languages can be extracted first, whether the main languages are consistent or not is compared, and predicates are compared if the main languages are consistent; and a score can be given after each coincidence, or a similar score can be given when the scores are similar, and finally a total score is given, wherein the total score is the association degree, and if the association degree is higher than a threshold value, the answer is considered to be correct. If the standard answer is: my students witness widely; the student's answer is my student's profuse talent. In this example, the scoring criteria may be divided into two parts, such as an example total score of 10 points, then divided into no parts each of 5 points, the student answer subject is consistent with the standard answer, so that 5 points may be obtained on the subject score, the student's answer on the predicate is similar to the standard answer, so that a similar score may be obtained, such as 3 points, in this example, the student's total score is 8 points, so that the question score threshold is 7 points, the student obtains 8 points at this time, and the student is determined to be answering correctly. Preferably, when comparing the relation degree of the grammar structure between the answer text and the answer, identifying whether the wrongly written word exists, identifying whether the wrongly written word is correct after correction, if the wrongly written word is identified and the corrected answer is correct, marking the wrongly written word as the wrongly written word error and obtaining half of the full score of the question.
Further, the step of comparing the association degree of the grammar structure between the answer text and the answer comprises the following steps:
dividing the answer text and the answer into a plurality of sub-grammar parts for comparison; wherein the sub-grammar portion includes at least a subject portion, a predicate portion, an object portion, a subject portion, a object portion, a complement portion;
scoring each sub-grammar portion comparison;
each sub-grammar portion score is summed to a total score, the higher the degree of association.
In this embodiment, the grammar structure can be divided into a component that does not create structural relationships with other components (main, predicate, guest, definite, form, complement, table) in the sentence, but is necessary in the sense of a complete sentence, with relative independence, to represent what is called a call, what is supposed to be, estimated, annotated, supplemented, exclamated, simulated, etc. The general grammar structure is subject + predicate + object, the subject modifying before the subject predicate is a idiom followed by a complement. Preferably, a phrase structure between the answer text and the answer is analyzed, and the phrase structure can be divided into parallel phrases, bias phrases, dynamic guest phrases, dynamic complement phrases, main-term phrases and the like.
Further, after the step of sending the student list to be corrected and the related knowledge points to the teacher client and making a corresponding learning plan for each student, the method includes:
the student answer texts are sent to a teacher client, and screening is carried out on the student answer texts at the teacher client to obtain recommended answers;
and sending the recommended answers and standard answers screened by the teacher client to a student end.
In this embodiment, the comparison between the answers of all the student answers and the developer answers is calculated, and the answer with higher association degree, i.e. the answer with higher score, is the recommended answer, if the threshold of the recommended answer is set to be 95 score, if the score exceeds the answer with 95 score, the answer is evaluated as the recommended answer, and the recommended answer and the standard answer are concurrently sent to the student end. Preferably, the recommended answers can be sent to the teacher end first, the teacher selects the recommended answers, and the teacher selects a plurality of recommended answers which are considered to be most suitable by the teacher to be sent to the student end for reference by students, so that the students learn to be good at analyzing the answers so as to understand the problem solving thought and master the problem solving skill. When the student refers to the excellent answer, the student can learn a plurality of ideas to think about the questions, such as the general simple answer, and the learning ideas are as follows: what answer is first, then why answer or how to do it. The answer ideas of the subjective questions of philosophy are as follows: the principle content and the corresponding methodology are described first, and then the principle and the methodology are applied to analyze the materials, so that the theory and the materials are organically unified. And because the student answers are excellent answers, the students can have questions in the answers, so that students can find out loopholes while referring to the questions, the students can discard the excellent answers of the students by differentiating symptoms, extract essence, discard dregs and learn more knowledge.
Further, the making of the corresponding learning plan for each student includes:
counting the student lists to be corrected and the knowledge points involved in the preset time period;
the corresponding learning plan is generated for each student's knowledge points involved.
In this embodiment, the answers of the students can be classified, and then one answer is selected from each classification, namely, a representative answer is selected for selection by the teacher, and the answer can be synchronously mapped to the teacher screen after selection by the teacher, so that the teaching of the teacher is facilitated. For example, the answer with the highest accuracy is selected, so that students who do the answer can teach themselves the thought of doing the questions, and the accuracy of doing the questions can be improved; or selecting the answer which is considered to be the biggest by the teacher, so that the students who do the answer teach the ideas of doing the questions by themselves, and the method of doing the questions by the students is expanded, so that the students think about the questions from different angles by using various methods, the thinking process is flexible, and the aim of improving the thinking level can be achieved. However, the explanation test paper can also select some wrong answers for demonstration, remind students to make questions later to pay attention to the wrong places, the reasons for the mistakes of the answers of the students can be various, and the reasons are also different from person to person, for example, the comprehensive knowledge application capability is not strong, different learning plans are generated for different students, the thinking training and the method guidance are enhanced, and the phenomenon of random answer later is avoided; or knowledge holes appear, the sheep should be supplemented and perfected in time during the appraisal, and the method is an important measure for reducing the next error; or carelessly, the examination questions are mostly carelessly caused, such as the examination questions are carelessly caused by the condition of keywords and hidden conditions, the answer requirements are not clarified, grass is used for answering, the answer is not standard, calculation errors and the like, so that students can be taught about the examination questions through the problems, the students can develop good habits, and the times of making wrong questions are reduced.
Referring to fig. 3, a device for answering questions and evaluating questions in voice is characterized by comprising:
the first acquisition module 100: the method comprises the steps of obtaining a teacher question voice in a classroom, and obtaining a plurality of open answers through a cloud according to the teacher question voice;
the second acquisition module 200: the method comprises the steps of obtaining answer records of students after hearing the questions of the teacher;
the judgment module 300: the answer judging module is used for judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record;
the sending module 400: and the system is used for sending the student list to be corrected and the related knowledge points to the teacher client and making a corresponding learning plan for each student.
According to the embodiment, the first obtaining module 100 is used for obtaining the questioning voice of a teacher in a class, the server is used for obtaining the questions which the teacher presents in the class, the presented questions can be temporarily presented by the teacher according to the spoken knowledge points, the students can consolidate the knowledge points just learned according to the answer questions, and the questions are used for obtaining a plurality of open answers through the cloud according to the questioning voice of the teacher; and then, through the second obtaining module 200, according to the teacher question voice, obtain the answer record after the student hears the teacher question voice, after the student hears the question posed by the teacher, each student answers the question against his own student card, and is not affected by other people, avoid following the answer phenomenon, the server obtains the answer record of the student through the student card, then, according to the relation between the plurality of open answers and the answer record by the judging module 300, judge whether the answer of the answer record needs to be corrected, the teacher end judges whether the result of the answer record needs to be correct according to the relation between the question voice and the answer record, the next-instruction median is not only wrong or correct, sometimes correct answer is also that the teacher especially points need to be correct, the students needing to be corrected and the related knowledge points are sent to the teacher client in the sending, and the lack or not clear knowledge points in the analyzing the corrected student's knowledge points in the same learning, the students needing to be corrected are sent to the teacher point, the corresponding knowledge points are not clearly analyzed by the teacher client, and the students need to be well studied by the learning points, and the learning points are not required to be well studied by the teacher, and the students are well studied by the students, and the students are well studied by the learning points are well, and the students are well studied by the students, and the students are well studied, and the students are well by the students are required to be corrected, and the students.
Further, the second acquisition module 200 includes:
the conversion unit is used for converting the answer record into an answer text, and executing an answer operation record through the record function in the answer module of the student card.
And the sending unit is used for acquiring the answer text of the student and sending the answer text to the teacher client.
Further, the judging module 400 includes:
the computing unit is used for acquiring a plurality of open answers and answer texts converted from the answer records according to the question voice, computing the association degree between the answer texts and the open answers, and considering that the answer is correct if the association degree is higher than a threshold value;
the first statistics unit is used for counting the correct number of the answers contained in the answer records of each student;
and the first correction unit is used for considering that the answer needs to be corrected if the correct number of the answer questions contained in the answer record is less than the standard answer number.
Further, the computing unit includes:
the comparison unit is used for comparing the association degree of the grammar structure between the answer text and the answer;
the first scoring unit is used for scoring the association degree of the grammar structure;
and the second scoring unit is used for increasing the association degree if the score is higher.
Further, the comparing unit includes:
the grammar judging structure unit is used for comparing the answer text with the answer divided into a plurality of sub-grammar parts; wherein the sub-grammar portion includes at least a subject portion, a predicate portion, an object portion, a subject portion, a object portion, a complement portion;
a third scoring unit for scoring each sub-grammar portion comparison result;
and a fourth scoring unit for adding the scores of each sub-grammar part to be a total score, wherein the higher the total score is, the higher the association degree is.
Further, the sending module includes:
the screening unit is used for sending the student answer text to the teacher client, and screening the student answer text at the teacher client to obtain recommended answers;
and the screening and transmitting unit is used for transmitting the recommended answers and standard answers screened by the teacher client to the student end.
Further, the screening unit includes:
the second statistical unit is used for counting the student lists and the related knowledge points which need to be corrected in a preset time period;
a learning plan unit for generating the corresponding learning plan for each student's knowledge points involved.
Referring to fig. 4, an embodiment of the present invention further provides a computer device, and an internal structure of the computer device may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The nonvolatile storage medium stores an operating device, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing a judging method of voice answer questions and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. Further, the above-mentioned computer apparatus may be further provided with an input device, a display screen, and the like. The computer program is executed by a processor to realize a method for judging voice answer questions, and comprises the following steps: acquiring a teacher question voice on a classroom, and acquiring a plurality of open answers through a cloud according to the teacher question voice; obtaining answer records after students hear the questions of the teacher; judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record; and sending the student list to be corrected and the related knowledge points to a teacher client and making a corresponding learning plan for each student. Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of a portion of the architecture in connection with the present application and is not intended to limit the computer device to which the present application is applied.
An embodiment of the present application further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a flipped image text recognition method, including the steps of: acquiring a teacher question voice on a classroom, and acquiring a plurality of open answers through a cloud according to the teacher question voice; obtaining answer records after students hear the questions of the teacher; judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record; and sending the student list to be corrected and the related knowledge points to a teacher client and making a corresponding learning plan for each student. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided herein and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the descriptions and drawings of the present invention or directly or indirectly applied to other related technical fields are included in the scope of the invention.
Claims (10)
1. The method for evaluating the voice answer questions is applied to a non-screen student card and is characterized by comprising the following steps of:
acquiring a teacher question voice on a classroom, and acquiring a plurality of open answers through a cloud according to the teacher question voice;
obtaining answer records after students hear the questions of the teacher;
judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record;
and sending the student list to be corrected and the related knowledge points to a teacher client and making a corresponding learning plan for each student.
2. The method for evaluating a voice answer according to claim 1, wherein after the step of obtaining an answer record after the student hears the teacher asking voice, the method comprises:
converting the answer record into an answer text, and executing an answer operation record through a recording function in an answer module of the student card;
and obtaining the answer text of the student and sending the answer text to the teacher client.
3. The method for evaluating a voice answer according to claim 1, wherein said step of evaluating whether an answer to said answer sheet needs to be corrected according to an association between said plurality of open answers and said answer sheet, comprises:
obtaining a plurality of open answers and answer texts converted from the answer records according to the teacher question voice, calculating the association degree between the answer texts and the open answers, and if the association degree is higher than a threshold value, considering that the answer is correct;
counting the correct number of the answers contained in the answer records of each student;
if the correct number of the answers contained in the answer record is less than the standard answer number, the answers are considered to be needed to be corrected.
4. A method of evaluating a speech answer according to claim 3, in which said step of calculating a degree of association between said answer text and said plurality of open answers comprises:
comparing the association degree of the grammar structure between the answer text and the answer;
scoring the association degree of the grammar structure;
the higher the score, the higher the degree of association.
5. The method of claim 4, wherein the step of comparing the degree of association of grammatical structures between the answer text and the answer comprises:
dividing the answer text and the answer into a plurality of sub-grammar parts for comparison; wherein the sub-grammar portion includes at least a subject portion, a predicate portion, an object portion, a subject portion, a object portion, a complement portion;
scoring each sub-grammar portion comparison;
each sub-grammar portion score is summed to a total score, the higher the degree of association.
6. The method for evaluating a speech answer according to claim 1, wherein after the step of sending the list of students to be corrected and the knowledge points involved to the teacher client and making a corresponding learning plan for each student, the method comprises:
the student answer texts are sent to a teacher client, and screening is carried out on the student answer texts at the teacher client to obtain recommended answers;
and sending the recommended answers and standard answers screened by the teacher client to a student end.
7. The method for evaluating a speech answer according to claim 1, wherein said making a corresponding learning plan for each student comprises:
counting the student lists to be corrected and the knowledge points involved in the preset time period;
the corresponding learning plan is generated for each student's knowledge points involved.
8. A voice answering and judging device is characterized by comprising:
a first acquisition module: the method comprises the steps of obtaining a teacher question voice in a classroom, and obtaining a plurality of open answers through a cloud according to the teacher question voice;
and a second acquisition module: the method comprises the steps of obtaining answer records of students after hearing the questions of the teacher;
and a judging module: the answer judging module is used for judging whether the answer of the answer record needs to be corrected according to the association relation between the plurality of open answers and the answer record;
and a sending module: and the system is used for sending the student list to be corrected and the related knowledge points to the teacher client and making a corresponding learning plan for each student.
9. A computer device, characterized in that it comprises a processor, a memory and a computer program stored on the 5 memory and executable on the processor, which processor implements the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that,
the computer program implementing step 0 of the method according to any one of claims 1 to 7 when executed by a processor.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117079222A (en) * | 2023-10-17 | 2023-11-17 | 广州乐庚信息科技有限公司 | Teaching plan generation method and system based on classroom audio and video intelligent analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117079222A (en) * | 2023-10-17 | 2023-11-17 | 广州乐庚信息科技有限公司 | Teaching plan generation method and system based on classroom audio and video intelligent analysis |
| CN117079222B (en) * | 2023-10-17 | 2024-01-26 | 广州乐庚信息科技有限公司 | Teaching plan generation method and system based on classroom audio and video intelligent analysis |
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