CN112863267A - English man-machine conversation system and learning method - Google Patents
English man-machine conversation system and learning method Download PDFInfo
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Abstract
The human-computer dialogue system comprises a computer system, a human-computer dialogue learning module and a learning method, wherein the learning method comprises a step of learning English according to the prompt of the human-computer dialogue learning module, the human-computer dialogue learning module is arranged in a processor and records the learning process information in a memory, a student realizes human-computer dialogue by virtue of information transmission of a display, a sound and a microphone of the computer system and learns English in the process of human-computer dialogue, a deep sensory experience guiding subunit is arranged in the human-computer dialogue learning module, and the step of learning English according to the prompt of the English learning module comprises a specific step of training the language sense through the guidance of the deep sensory experience guiding subunit. The invention provides an English man-machine conversation learning method, which enables a student to quickly cultivate the sense of language by bringing the sensory experience depth of the student into a conversation situation, thereby quickly obtaining the English conversation capacity.
Description
Technical Field
The invention relates to the technical field of English teaching methods, in particular to an English man-machine conversation system and a learning method.
Background
In english learning, english dialogue training is very important, and especially in recent years, practical application of english is more and more emphasized, rather than the traditional dumb english of the type of taking an examination, so that the requirement of english dialogue learning can not be met by the traditional english learning mode, learning efficiency is low, and a technology specially used for english dialogue learning is urgently needed to be developed.
Disclosure of Invention
In order to solve the problems of the prior art, the invention provides an English man-machine conversation system and a learning method.
In order to solve the problems, the technical scheme of the invention is as follows:
the human-computer dialogue system comprises a computer system and a human-computer dialogue learning module, the learning method comprises the step of English learning according to the prompt of the human-computer dialogue learning module, the human-computer dialogue learning module is arranged in a processor of the computer system and records the learning process information in a memory of the computer system, a student realizes human-computer dialogue by means of information transmission of a display, a sound and a microphone of the computer system and learns English in the process of human-computer dialogue, a deep sensory experience guiding subunit is arranged in the human-computer dialogue learning module, and the step of English learning according to the prompt of the learning module comprises the specific step of training the sense of language through the guidance of the deep sensory experience guiding subunit.
Preferably, the human-computer dialogue learning module is provided with a plurality of learning units, wherein each learning unit comprises a word learning unit, a sentence learning unit, a scene simulation learning unit and a dialogue learning unit, and any learning unit is provided with a deep sensory experience guiding subunit.
Preferably, the deep sensory experience guiding subunit comprises a first guiding mode for presenting an image on a display and guiding a learner to enter the sensory experience behind a word or sentence by characters; also included is a second guidance mode that presents video on the display, and audio to guide the learner into the sensory experience behind the word or sentence.
Preferably, the sensory experience includes visual experience, auditory experience, olfactory experience, gustatory experience, tactile experience, emotional experience, and emotional experience.
Preferably, in the specific steps, the learner guides the sub-unit into the sensory experience according to the deep sensory experience in an imagination and simulation mode.
Preferably, the imagination mode is to present the sensory experience by imagination according to the prompt of the first guidance mode or the second guidance mode, and the imitation mode is to present the sensory experience by the combination of the simulation of the action, the posture, the expression, the tone and the imagination according to the prompt of the first guidance mode or the second guidance mode.
Preferably, the sensory experience is presented with the goal of deeply entering the learner into an english learning context, and the learner deeply understands the meaning of a word or sentence by entering the learning context to develop a sense of language.
Preferably, in the specific steps, the learner presents the sensory experience and then reads words or sentences aloud or presents the words or sentences, and a first prompt prompting the learner to enter the sensory experience through imagination and simulation and a second prompt prompting the learner to determine whether the learner enters the sensory experience are arranged in any learning unit.
Preferably, after the learner speaks or vocally expresses words or sentences, the computer system performs key point review on the imagination process of the learner through software in the corresponding learning unit, evaluates the simulation process of the learner, repeatedly learns the contents which are just learned after review and evaluation, and controls the interface of the learning unit through a mouse of the computer system so as to select the repeated learning times.
Preferably, in any learning unit, the mode of evaluating the student simulation process is to collect information of voice, expression, action and posture of the student through pictures, videos and audio information prestored in the memory, and combine the camera and the audio of the computer system, and compare the collected information with the information in the memory through software in the corresponding learning unit, so as to evaluate the similarity degree in the student simulation process.
The English man-machine conversation system and the English man-machine conversation learning method have the following beneficial effects that: the deep sensory experience guidance subunit and the corresponding learning steps are arranged, and the learning concentration of the student can be obviously improved through the improvement of the man-machine conversation learning method, so that the student enters the deep sensory experience of an English learning situation, the English sense is quickly obtained, and the learning effect is obviously improved.
Drawings
FIG. 1 is a block diagram of a human-machine dialogue learning module of the present invention;
Detailed Description
In the following, embodiments of the present invention are described in detail in a stepwise manner, which is merely a preferred embodiment of the present invention and is not intended to limit the scope of the present invention, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "left", "right", "top", "bottom", "inner", "outer", and the like indicate orientations and positional relationships based on the orientations and positional relationships shown in the drawings, and are only used for describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation and a specific orientation configuration and operation, and thus, the present invention is not to be construed as being limited thereto.
A human-computer dialogue system of English and learning method, the said human-computer dialogue system includes computer system, human-computer dialogue learning module, the said learning method includes carrying on the step of English learning according to the suggestion of the human-computer dialogue learning module, the said human-computer dialogue learning module is set up in the processor of the computer system, and the course information of studying is recorded in the memorizer of the computer system, the student relies on the information transfer of the display, stereo set, microphone of the computer system to realize the human-computer dialogue, and carry on the English learning in the course of the human-computer dialogue, the said human-computer dialogue learning module is equipped with the experience of depth sense organ and guides the subunit, include the concrete step of training the sense of language through the guide of the experience of depth sense organ guide subunit in the step of English learning according to the suggestion of the learning module;
the human-computer dialogue learning module is provided with a plurality of learning units, wherein each learning unit comprises a word learning unit, a sentence learning unit, a scene simulation learning unit and a dialogue learning unit, and any learning unit is provided with a deep sensory experience guiding subunit;
the deep sensory experience guiding subunit comprises a first guiding mode which presents images on a display and guides a student to enter the sensory experience behind a word or a sentence by characters; the second guiding mode is used for presenting videos on the display and presenting sound on the sound to guide the student to enter sensory experience behind words or sentences;
the sensory experience comprises visual experience, auditory experience, olfactory experience, gustatory experience, tactile experience, emotional experience and emotional experience;
in the specific steps, the student guides the sub-unit to enter the sensory experience according to the deep sensory experience in a imagination and simulation mode;
the imagination mode is that the sensory experience is presented through imagination according to the prompt of the first guidance mode or the second guidance mode, and the imitation mode is that the sensory experience is presented through the combination of the imitation of actions, postures, expressions, tone and the imagination according to the prompt of the first guidance mode or the second guidance mode;
the purpose of presenting the sensory experience is to enable the student to deeply enter an English learning situation, and the student deeply understands the meaning of a word or a sentence by entering the learning situation so as to cultivate the sense of language;
in the specific steps, after presenting the sense organ experience, the student reads words or sentences aloud or expresses the words or sentences, and a first prompt prompting the student to enter the sense organ experience through imagination and simulation and a second prompt prompting the student to determine whether the student enters the sense organ experience are arranged in any learning unit;
after the learner reads words or sentences aloud or expresses words or sentences with voice, the computer system reviews the imagination process of the learner by software in the corresponding learning unit, evaluates the simulation process of the learner, repeatedly learns the contents which are just learned after review and evaluation, and controls the interface of the learning unit by the learner through a mouse of the computer system so as to select the repeated learning times;
in any learning unit, the mode of evaluating the student simulation process is to collect the information of the voice, expression, action and posture of the student through the picture, video and audio information prestored in the memory and by combining the camera and the audio of the computer system, and compare the collected information with the information in the memory through the software in the corresponding learning unit so as to evaluate the similarity degree of the student simulation process.
Specific examples are as follows:
examples 1,
In the word learning unit, learning an APPLE word, and in the learning interface, besides presenting the spelling of the APPLE word, a deep sensory experience guiding subunit is arranged on one side of the spelling, and the content of the deep sensory experience guiding subunit comprises: picture of apple, and text prompt. In the text prompt, the first prompt is that the student is asked to watch the picture of the APPLE carefully, experience the shape and color of the APPLE, smell the fragrance, taste during chewing, sound during chewing and touch in the mouth, experience pleasant feeling, experience carefully, experience the feeling more and more relaxed, after the student experiences a certain time, click the reading button in the interface, the second prompt appears, the student is asked to confirm that the student enters the sensory experience, if the student confirms, click the reading button again, the reading sound of APPLE appears in the sound, and then the student follows the reading with the sensory experience; after reading, the learning unit reviews the process of presenting the sensory experience by means of voice prompt, for example, "the shape, color, fragrance, touch, chewing sound and taste of the apple are experienced by imagination, and pleasant feeling is experienced in the mind", and evaluates the imitation process of the student, wherein the evaluation mainly focuses on the tone of the student reading and the expression of the student reading, so as to judge whether the student enters the sensory experience deeply enough and evaluate the accuracy of pronunciation of the student.
Examples 2,
In the scene mimic learning unit, the appearance sentence: an "I love applet," the contents of the deep sensory experience guide subunit provided on one side of the learning unit interface include: the video information that can be played by clicking, for example, a person says "I love apple" with the tone and expression with emotional colors, the first prompt is a voice prompt that the emotion of her is very pleasant and excited, the mind of her reminds the wonderful experience that the apple brings to her, the voice is soft and high-pitched, the student imagines and imitates the content in the video information according to the content, after the student experiences for a certain time, the imitation follow-up button in the interface is clicked, the second prompt appears, the student confirms that the student enters the sensory experience, if the student confirms, the imitation follow-up button is clicked again, the voice of the "I love apple" in the video information appears in the sound, and the student subsequently imitates follow-up with the sensory experience; after the imitation follow-up, the learning unit reviews the process of presenting the sensory experience in a voice prompt mode, for example, "the emotion of her is very pleasant and excited, the mind remembers that the apple brings the wonderful experience of her, the sound is soft and high, the face is smiling", and the imitation process of the student is evaluated, wherein the evaluation mainly focuses on the expression, action, voice and tone read by the student to judge whether the student enters the sensory experience deeply enough and evaluate the accuracy of pronunciation of the student.
Examples 3,
In the interface of the dialogue learning unit, the question "Do you love applet? "the content of the deep sensory experience guidance subunit provided on one side of the learning unit interface includes: the first prompt is as follows: "please think carefully about the shape, color, aroma, touch, taste of apple, and the emotional experience that you bring, and answer questions with these experiences", after the student experiences a certain time, click the answer button in the interface, a second prompt appears, "please confirm that he has entered the sensory experience", click the answer button again if the student confirms, and "Do you love apple? "the learner then answers the question with a sensory experience; after answering, the learning unit reviews the key points of the process of presenting the sensory experience in a voice prompt mode, such as 'please carefully imagine the shape, color, fragrance, touch and taste of the apple, and the emotional experience brought to the user, and answer questions with the experience', and evaluates the imitation process of the student, wherein the evaluation mainly focuses on the expression, action, voice and tone read by the student to judge whether the student is deep enough to enter the sensory experience, and evaluate the accuracy of pronunciation of the student.
Claims (10)
1. An English man-machine conversation system and a learning method are characterized in that: the man-machine conversation system comprises a computer system and a man-machine conversation learning module, the learning method comprises the step of English learning according to the prompt of the man-machine conversation learning module, the man-machine conversation learning module is arranged in a processor of the computer system and records the learning process information in a memory of the computer system, a student realizes man-machine conversation by means of information transmission of a display, a sound and a microphone of the computer system and learns English in the man-machine conversation process, a deep sensory experience guiding subunit is arranged in the man-machine conversation learning module, and the step of English learning according to the prompt of the learning module comprises the specific step of training the language sense through the guiding of the deep sensory experience guiding subunit.
2. The english language man-machine conversation system and learning method according to claim 1, wherein: the man-machine dialogue learning module is provided with a plurality of learning units, wherein each learning unit comprises a word learning unit, a sentence learning unit, a scene simulation learning unit and a dialogue learning unit, and any learning unit is provided with a deep sensory experience guiding subunit.
3. The english language man-machine conversation system and learning method according to claim 2, wherein: the deep sensory experience guiding subunit comprises a first guiding mode which presents images on a display and guides a student to enter the sensory experience behind a word or a sentence by characters; also included is a second guidance mode that presents video on the display, and audio to guide the learner into the sensory experience behind the word or sentence.
4. The english language man-machine conversation system and learning method according to claim 3, wherein: the sensory experience comprises visual experience, auditory experience, olfactory experience, gustatory experience, tactile experience, emotional experience and emotional experience.
5. The english language man-machine conversation system and learning method according to claim 4, wherein: in the specific steps, the learner guides the sub-unit into the sensory experience according to the deep sensory experience in a imagination and simulation mode.
6. The english language man-machine conversation system and learning method according to claim 5, wherein: the imagination mode is that the sensory experience is presented through imagination according to the prompt of the first guidance mode or the second guidance mode, and the imitation mode is that the sensory experience is presented through the combination of the imitation of actions, postures, expressions, tone and imagination according to the prompt of the first guidance mode or the second guidance mode.
7. The english language man-machine conversation system and learning method according to claim 6, wherein: the sensory experience is presented with the goal of allowing the learner to enter deep into the english learning context by which the learner understands deep the meaning of words or sentences to develop a sense of speech.
8. The english human-machine conversation system and learning method according to claim 6 or 7, wherein: in the specific steps, after the student presents the sensory experience, words or sentences are read aloud or expressed in a sound mode, and a first prompt prompting the student to enter the sensory experience through imagination and imitation and a second prompt prompting the student to determine whether the student enters the sensory experience are arranged in any learning unit.
9. The english language man-machine conversation system and learning method according to claim 8, wherein: after the learner speaks or vocally expresses words or sentences, the computer system reviews the imagination process of the learner through software in the corresponding learning unit, evaluates the simulation process of the learner, repeatedly learns the contents which are just learned after review and evaluation, and controls the interface of the learning unit through a mouse of the computer system so as to select the repeated learning times.
10. The english language man-machine conversation system and learning method according to claim 9, wherein: in any learning unit, the mode of evaluating the student simulation process is to collect the information of the voice, expression, action and posture of the student through the picture, video and audio information prestored in the memory and by combining the camera and the audio of the computer system, and compare the collected information with the information in the memory through the software in the corresponding learning unit so as to evaluate the similarity degree of the student simulation process.
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1464385A (en) * | 2002-06-25 | 2003-12-31 | 李天政 | Method and system for learning language using computer software |
JP2004138689A (en) * | 2002-10-16 | 2004-05-13 | Univ Waseda | Linguistic learning system and linguistic learning service provision method, program, and data recording medium |
US20040209232A1 (en) * | 2003-04-21 | 2004-10-21 | Dolores Neumann | Method and system for selective prenatal and postnatal learning |
JP2009145883A (en) * | 2007-11-20 | 2009-07-02 | Rissho Univ | Learning system, storage medium, and learning method |
US20100304342A1 (en) * | 2005-11-30 | 2010-12-02 | Linguacomm Enterprises Inc. | Interactive Language Education System and Method |
CN101958060A (en) * | 2009-08-28 | 2011-01-26 | 陈美含 | English spelling instant technical tool |
US20140342321A1 (en) * | 2013-05-17 | 2014-11-20 | Purdue Research Foundation | Generative language training using electronic display |
CN104823182A (en) * | 2012-11-30 | 2015-08-05 | 阿尔卡季·齐尔伯曼 | Reverse language resonance systems and methods for foreign language acquisition |
DE102015011136A1 (en) * | 2014-09-08 | 2016-03-10 | Larissa Roth | Method and apparatus for converting printed text into speech |
US20170046981A1 (en) * | 2014-05-09 | 2017-02-16 | Kwang Chul KOH | Method of learning english using teaching english word order map and system for learning english using the same |
WO2019054618A1 (en) * | 2017-09-14 | 2019-03-21 | 마더랭귀지 주식회사 | Foreign-language learning method and apparatus for imitating native-language acquisition process by combining shadowing and speed listening, and program recording medium |
CN111564066A (en) * | 2020-05-29 | 2020-08-21 | 江苏海事职业技术学院 | Intelligent English teaching system for English teaching |
-
2021
- 2021-01-19 CN CN202110065939.6A patent/CN112863267B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1464385A (en) * | 2002-06-25 | 2003-12-31 | 李天政 | Method and system for learning language using computer software |
JP2004138689A (en) * | 2002-10-16 | 2004-05-13 | Univ Waseda | Linguistic learning system and linguistic learning service provision method, program, and data recording medium |
US20040209232A1 (en) * | 2003-04-21 | 2004-10-21 | Dolores Neumann | Method and system for selective prenatal and postnatal learning |
US20100304342A1 (en) * | 2005-11-30 | 2010-12-02 | Linguacomm Enterprises Inc. | Interactive Language Education System and Method |
JP2009145883A (en) * | 2007-11-20 | 2009-07-02 | Rissho Univ | Learning system, storage medium, and learning method |
CN101958060A (en) * | 2009-08-28 | 2011-01-26 | 陈美含 | English spelling instant technical tool |
CN104823182A (en) * | 2012-11-30 | 2015-08-05 | 阿尔卡季·齐尔伯曼 | Reverse language resonance systems and methods for foreign language acquisition |
US20140342321A1 (en) * | 2013-05-17 | 2014-11-20 | Purdue Research Foundation | Generative language training using electronic display |
US20170046981A1 (en) * | 2014-05-09 | 2017-02-16 | Kwang Chul KOH | Method of learning english using teaching english word order map and system for learning english using the same |
DE102015011136A1 (en) * | 2014-09-08 | 2016-03-10 | Larissa Roth | Method and apparatus for converting printed text into speech |
WO2019054618A1 (en) * | 2017-09-14 | 2019-03-21 | 마더랭귀지 주식회사 | Foreign-language learning method and apparatus for imitating native-language acquisition process by combining shadowing and speed listening, and program recording medium |
CN111564066A (en) * | 2020-05-29 | 2020-08-21 | 江苏海事职业技术学院 | Intelligent English teaching system for English teaching |
Non-Patent Citations (1)
Title |
---|
新华网: "用五感触及英语世界,英语学习不再难", 《百度》, 22 January 2018 (2018-01-22) * |
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