CN116403446A - Digital person education method based on text driving - Google Patents
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Abstract
The digital person education method based on text driving adopts a registration unit, a question bank collection unit, a question bank classification unit, an information input unit, a personalized learning unit, an autonomous learning unit, a solution unit, an image acquisition unit, a scene unit, a modification selection unit, a simulation unit, an interactive teaching unit, a data pushing unit and an evaluation unit as cloud application software for teaching; the digital person education method includes ten steps. The invention enriches the question bank quantity, students can obtain corresponding question solutions through a voice question-answering mode, and can give out corresponding progressive questions to each student according to learning ability, in the student question-answering and teaching interaction, the students and teacher images are correspondingly processed, virtual digital person figures of the students and the teacher are generated, teaching interaction under various virtual scenes is realized, the learning enthusiasm of the students in low-age groups is improved, good learning effect is realized, good interaction between parents and teachers is also realized, and technical support is provided for improving student results.
Description
Technical Field
The invention relates to the technical field of Internet application, in particular to a digital person education method based on text driving.
Background
Digital humans (digihuman/MetaHuman) are digitized character figures created using digital technology that approximate human figures. The narrow digital person is the product of the integration of information science and life science, and the method of information science is utilized to carry out virtual simulation on the forms and functions of the human body at different levels. The generalized digital man refers to the penetration of digital technology in various levels of human anatomy, physics, physiology and intelligence, at various stages.
Along with the development of science and technology, the Internet is widely applied to the teaching field, enriches the knowledge points of students, improves the learning score, brings convenience to teachers and improves the teaching efficiency. In the existing internet teaching, related learning contents are generally searched and answered in a manual mode of students, and intercommunication teaching and the like are realized through a video connection mode and an online teacher. The above approach meets the internet teaching to some extent, but its drawbacks are also apparent due to technical limitations. The method comprises the following steps: various question bank data and corresponding answers are required to be manually input by related technicians, the number of the relative question banks is limited, and the question requirements of students cannot be completely met. And two,: in online teaching, a teacher side presents questions and students answer the questions in a boring video connection mode, that is, each portrait in a teaching picture is based on a real portrait image, which is not beneficial to improving the learning enthusiasm of the students. And thirdly,: in teaching, interaction with parents of students cannot be realized, and parents cannot fully know the performance of the students, so that improvement of the performance of the students is not facilitated. Based on the above, the teaching method capable of automatically enriching the content of the question bank, importing students and teachers into the system in a digital human mode for teaching, improving the learning enthusiasm of the students and realizing interactive teaching with the parents is especially necessary.
Disclosure of Invention
In order to overcome the defects of the prior internet teaching system as described in the background, the invention provides a text-driven digital person education method which can automatically collect various related knowledge item libraries on the internet under the combined action of related module units, enable students to conveniently obtain solutions of corresponding items through a voice question-answering mode, give corresponding progressive questions to each student according to learning ability, realize autonomous learning of the students, correspondingly process images of the students and teachers in the question-answering and teaching interaction of the students, generate virtual character images of the students and teachers, realize teaching interaction in various virtual scenes, improve learning enthusiasm of the students, realize good learning effect, push various learning achievements and various evaluation information of the students to parents, realize good interaction of the parents and teachers, and provide favorable technical support for improving the learning achievements of the students.
The technical scheme adopted for solving the technical problems is as follows:
the digital person education method based on text driving is characterized in that a registration unit, a question library collection unit, a question library classification unit, an information input unit, a personalized learning unit, an autonomous learning unit, a answering unit, an image acquisition unit, a scene unit, a modification selection unit, a simulation unit, an interactive teaching unit, a data pushing unit and an evaluation unit are adopted as cloud application software for teaching; the digital person education method comprises the following steps of: after the student, teacher and parent registration unit inputs personal key information, online registration is realized; and (B) step (B): the question bank collecting unit collects related teaching contents in the Internet field through the network insect climbing subunit, can collect online teaching contents generated in each teaching, and outputs data to the question bank classifying unit; step C: the question bank classifying unit classifies various question banks according to the category of the subject and the difficulty level, and gives corresponding text and voice answer; step D: the teacher inputs the historical learning score, the personal learning ability data and the data of each subject of each student through the information input unit and outputs the data to the personalized learning unit; step E: the personalized learning unit reads corresponding question library data from the question library classification unit based on the learning ability of each student, gives out progressive test questions of each subject of the student, and the student carries out autonomous learning through the autonomous learning unit; the answering unit can call the corresponding answers in the question library classifying unit to give out the voice and text answering results of the questions when the students need to obtain the questions answering, and can judge the test questions answered by the students through the personalized learning unit, and give out the correct or wrong judgment and score results in the voice and text mode; step G: the image acquisition unit acquires face picture information of students and teachers and processes the face picture information to generate digital human images corresponding to looks, and the students and the teachers can select different picture styles, modify own digital human images and select different background pictures through the scene unit; step H: the simulation unit generates dynamic teacher digital person images on a screen when students need to obtain the problem solution every time, solves the problems of the students, and displays dynamic images of the students and the teacher digital person in one question and one answer on the screen when the students answer the test questions through the personalized learning unit; step I: teachers and students which are not in a region range realize the teaching of the teachers and the interactive learning of the students through the interactive teaching unit; step J: and the teacher pushes contents such as the learning score and the learning performance of the student to the parents of the corresponding student through the data pushing unit according to the required point selection interface, and the parents end realizes interaction with the teacher through the evaluation unit.
Furthermore, the parent end only has the evaluation modes of receiving the data pushed by the data pushing unit through the evaluation unit, leaving a message through the evaluation unit and the like, so that interaction with a teacher is realized, and the message content comprises information such as suggestions for the teacher and students, suggestions for improving the performance of the students and the like; the student end has the authority of using the autonomous learning unit, the answering unit, the scene unit, the modification selection unit and the interactive teaching unit; the teacher end has the authority of using the information input unit, the answering unit, the scene unit, the modification selection unit, the interactive teaching unit, the data pushing unit and the evaluation unit.
Furthermore, in the relevant teaching contents in the Internet field collected by the network crawling subunit, the relevant teaching contents can be collected according to the input keyword index, and teachers can also input the offline teaching contents into the question bank collecting unit in a text and picture mode each time.
Further, the question bank classifying unit classifies the question banks from low to high difficulty in classifying the various question banks according to the category of the subject and the difficulty level.
Further, the personalized learning unit can intelligently analyze data such as age groups, historical learning achievements, personal learning abilities and the like of the students, and obtain autonomous learning acceptance abilities of the students in current use.
Further, after distinguishing the test questions answered by the students through the personalized learning unit, the answering unit pushes the score results and the error points answered by the students to the teacher end, and the teacher end knows the knowledge weak points of the students through the data pushing unit to conduct targeted teaching.
Furthermore, when the answering unit answers the questions presented by the students, the individualized answering mode can be given according to the answering thinking mode and the easiest to accept of the corresponding students, and the acceptance and learning effect of the students are improved.
Furthermore, the interactive teaching unit realizes the teaching of teachers and the interactive learning of students, and the screen can display dynamic images of students and teacher digital persons for one-time and one-answer.
The invention has the beneficial effects that: the invention can automatically collect and classify various related knowledge item bases on the Internet under the combined action of the registering unit, the item base collecting unit, the item base classifying unit, the information input unit, the personalized learning unit, the autonomous learning unit, the answering unit, the image collecting unit, the scene unit, the modification selecting unit, the simulation unit, the interactive teaching unit, the data pushing unit and the evaluation unit, and a teacher can manually input teaching contents according to needs, enrich the item base amount, enable students to conveniently obtain the answers of corresponding items through a voice question-answering mode, and can give corresponding progressive questions to each student according to learning ability, realize the autonomous learning of the students, and can correspondingly process the images of the students and the teacher in the question-answering and teaching interaction of the students, generate virtual digital personals of the students and the teacher, realize teaching interaction under various virtual scenes, especially improve the learning enthusiasm of the students in low age period, realize good learning effect, can also push various learning results and various evaluation information of the students to the end, realize good interaction with parents, and support the parents for improving the students to the technical support. Based on the above-mentioned that, the utility model has the advantages of wide application prospect.
Drawings
The invention will be further described with reference to the drawings and examples.
Fig. 1 is a block diagram of the architecture of the present invention.
Detailed Description
The digital person education method based on text driving shown in fig. 1 adopts a registration unit, a question bank collection unit, a question bank classification unit, an information input unit, a personalized learning unit, an autonomous learning unit, a answering unit, an image acquisition unit, a scene unit, a modification selection unit, a simulation unit, an interactive teaching unit, a data pushing unit and an evaluation unit as cloud application software for teaching.
As shown in fig. 1, the digital person education method includes the steps of (1): after the students, teachers and parents input personal key information through a registration unit at the PC end, online registration is realized; specifically, the information registered by the teacher and the parents also includes data such as the name, age bracket, grade, sex and the like of the corresponding student. Step (2): the question bank collecting unit collects related teaching contents in the Internet field through the network insect climbing subunit, can collect online teaching contents generated in each teaching, and outputs data to the question bank classifying unit for storage. Specifically, in the relevant teaching content in the internet field is collected to the net worm subunit, can collect relevant teaching content according to the keyword index of input, improved teaching content's collection efficiency and accuracy, teacher can also be according to the mode input to the question bank collection unit of the offline teaching content through characters and picture at every turn of needs at the PC end. The question bank collecting unit directly performs classified storage after receiving the text content; when receiving the picture content, the teacher leads the text into the PC terminal, the PC is converted and identified by OCR software, and then the corrected text is output to the question bank classification unit after corrected by the correction subunit of the question bank collection unit.
As shown in fig. 1, step (3): the question bank classifying unit classifies various input question banks according to the category of the subject and the difficulty level, and gives corresponding text and voice answer; specifically, the question bank classification unit classifies the question banks from low to high difficulty in classifying the various question banks according to the category of the subject and the difficulty level. Step (4): the teacher inputs the historical learning score, the personal learning ability data and the data of each subject of each student through the information input unit and outputs the data to the personalized learning unit. Step (5): the personalized learning unit reads corresponding question library data from the question library classification unit based on the learning ability of each student to give each subject test question of each subject of the student in a progressive manner; specifically, the personalized learning unit can intelligently analyze data such as age groups, historical learning results, personal learning ability and the like of the students to obtain the autonomous learning acceptance ability of the students currently used, so that the difficulty of giving test questions is ensured to be moderate, and a good test effect is achieved; the students learn autonomously each time through an autonomous learning unit, or under the arrangement of teachers.
In the step (6) shown in the figure 1, when the students need to obtain the questions, the answering unit can retrieve the voice and the text answering results of the questions corresponding to the answers in the questions library classifying unit, and judge the test questions answered by the students through the personalized learning unit, and judge or misjudge the test questions and the score results in voice and text modes; specifically, after distinguishing test questions answered by students through the personalized learning unit, the answering unit pushes score results and error points answered by the students to a teacher end, and the teacher end knows knowledge weak points of the students through the data pushing unit and then carries out targeted teaching, so that a good teaching effect can be achieved; and when the answering unit answers the questions presented by the students, the individualized answering mode can be given according to the answering thinking mode and the easiest to accept of the corresponding students, and the acceptance and learning effect of the students are improved. Step (7): the image acquisition unit acquires face picture information of students and teachers and processes the face picture information to generate digital human images corresponding to the looks, and the students and the teachers can select different picture styles (such as cartoon styles, photo styles and the like) through the modification selection unit, modify own digital human images and select different background pictures (such as mountain water, character background images and the like) through the scene unit.
As shown in fig. 1, step (7): when students need to obtain questions, generating dynamic teacher digital person images on a screen in real time, carrying out voice and text solutions on the questions of the students, and when the students answer the test questions through the personalized learning unit, displaying dynamic images of the students and the teacher digital person, so that the learning enthusiasm of the students is improved; step (8): the teacher and the students not in the area can realize the teaching of the teacher and the interactive learning of the students through the interactive teaching unit, and the teacher can independently teach and ask questions of the students in the learning. Step (8): and the teacher pushes contents such as the learning score and the learning performance of the student to the parents of the corresponding student through the data pushing unit according to the required point selection interface, and the parents end realizes interaction with the teacher through the evaluation unit. The interactive teaching unit realizes the teaching of teachers and the interactive learning of students, and the screen can display dynamic images of the students and the teacher digital persons for one-time and one-answer. In the application, in order to stabilize normal application, the parent end only has the evaluation modes of receiving the data pushed by the data pushing unit through the evaluation unit, leaving a message through the evaluation unit and the like, so that interaction with a teacher is realized, and the message content comprises information such as suggestions for the teacher and students, suggestions for improving the performance of the students and the like; the student end has the authority of using the autonomous learning unit, the answering unit, the scene unit, the modification selection unit and the interactive teaching unit; the teacher end has the authority of using the information input unit, the answering unit, the scene unit, the modification selection unit, the interactive teaching unit, the data pushing unit and the evaluation unit.
According to the invention, the crossing of teaching technology is realized based on the existing digital personal technology, under the combined action of a registration unit, a question bank collecting unit, a question bank classifying unit, an information input unit, a personalized learning unit, an independent learning unit, a answering unit, an image acquisition unit, a scene unit, a modification selecting unit, an analog unit, an interactive teaching unit, a data pushing unit and an evaluation unit, various related knowledge question banks on the Internet can be automatically collected and classified, teaching contents can be manually input by teachers according to requirements, question bank quantity is enriched, students can conveniently obtain solutions of corresponding questions through a voice question-answering mode, corresponding progressive questions can be given to each student according to learning ability, independent learning of the students can be realized, and in the question-answering and teaching interaction of the students, the images of the students and the teachers can be correspondingly processed, virtual digital character images of the students and the teachers can be generated, the learning enthusiasm of the students at low age stage can be particularly improved, the learning enthusiasm of the students can be realized, the good interactive learning effect of the students can be realized, the various learning information of the students at the low stage and the students can be pushed to the parents and the students can be well supported by the parents, and the students can be well supported by the parents.
While the fundamental and principal features of the invention and advantages of the invention have been shown and described, it will be apparent to those skilled in the art that the invention is limited to the details of the foregoing exemplary embodiments, and that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (8)
1. The digital person education method based on text driving is characterized in that a registration unit, a question library collection unit, a question library classification unit, an information input unit, a personalized learning unit, an autonomous learning unit, a answering unit, an image acquisition unit, a scene unit, a modification selection unit, a simulation unit, an interactive teaching unit, a data pushing unit and an evaluation unit are adopted as cloud application software for teaching; the digital person education method comprises the following steps of: after the student, teacher and parent registration unit inputs personal key information, online registration is realized; and (B) step (B): the question bank collecting unit collects related teaching contents in the Internet field through the network insect climbing subunit, can collect online teaching contents generated in each teaching, and outputs data to the question bank classifying unit; step C: the question bank classifying unit classifies various question banks according to the category of the subject and the difficulty level, and gives corresponding text and voice answer; step D: the teacher inputs the historical learning score, the personal learning ability data and the data of each subject of each student through the information input unit and outputs the data to the personalized learning unit; step E: the personalized learning unit reads corresponding question library data from the question library classification unit based on the learning ability of each student, gives out progressive test questions of each subject of the student, and the student carries out autonomous learning through the autonomous learning unit; the answering unit can call the corresponding answers in the question library classifying unit to give out the voice and text answering results of the questions when the students need to obtain the questions answering, and can judge the test questions answered by the students through the personalized learning unit, and give out the correct or wrong judgment and score results in the voice and text mode; step G: the image acquisition unit acquires face picture information of students and teachers and processes the face picture information to generate digital human images corresponding to looks, and the students and the teachers can select different picture styles, modify own digital human images and select different background pictures through the scene unit; step H: the simulation unit generates dynamic teacher digital person images on a screen when students need to obtain the problem solution every time, solves the problems of the students, and displays dynamic images of the students and the teacher digital person in one question and one answer on the screen when the students answer the test questions through the personalized learning unit; step I: teachers and students which are not in a region range realize the teaching of the teachers and the interactive learning of the students through the interactive teaching unit; step J: and the teacher pushes contents such as the learning score and the learning performance of the student to the parents of the corresponding student through the data pushing unit according to the required point selection interface, and the parents end realizes interaction with the teacher through the evaluation unit.
2. The text-driven digital person education method as set forth in claim 1, wherein the parent end only has the evaluation means for receiving the data pushed by the data pushing unit through the evaluation unit and for realizing interaction with the teacher through the evaluation means such as message leaving, and the message content includes the advice of the teacher and the student, and the advice of the student to improve the performance; the student end has the authority of using the autonomous learning unit, the answering unit, the scene unit, the modification selection unit and the interactive teaching unit; the teacher end has the authority of using the information input unit, the answering unit, the scene unit, the modification selection unit, the interactive teaching unit, the data pushing unit and the evaluation unit.
3. The text-driven digital person education method as claimed in claim 1, wherein the network crawling subunit collects related contents of education in the internet domain, and the teacher can also input each offline content of education to the question bank collection unit by means of text and pictures.
4. The text-driven digital personal education method as claimed in claim 1, wherein the question bank classification unit classifies the question banks from low to high difficulty in classifying the various question banks according to subject categories and difficulty levels.
5. The text-driven digital person education method as claimed in claim 1, wherein the personalized learning unit can intelligently analyze data such as age groups, historic learning results, personal learning ability and the like of the students to obtain autonomous learning acceptance currently used by the students.
6. The text-driven digital person education method as claimed in claim 1, wherein the answering unit pushes the score result and the error point of the student answer to the teacher end after discriminating the test questions answered by the student through the personalized learning unit, and the teacher end learns the knowledge weak point of the student through the data pushing unit to conduct targeted teaching.
7. The text-driven digital person education method as claimed in claim 1, wherein the answering unit gives personalized answering modes according to answering thinking modes and the most acceptable explanation modes of the corresponding students when answering the questions of the students, thereby improving the acceptance and learning effects of the students.
8. The text-driven digital person education method according to claim 1 wherein the interactive teaching unit realizes the teaching of the teacher and the interactive learning of the students, and the screen displays the dynamic image of the student and the teacher for the digital person to answer one by one.
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