JP6998420B2 - Task-oriented digital language learning method - Google Patents

Description

The present invention relates to a digital language learning method, and is a digital language learning method based on a task-based language learning and a communication approach language learning.

In traditional language learning evaluation methods, during a reading or listening test process, students answer one or more choice questions based on the sentences they read or the conversations they hear, and each choice question is a single -answer question or Is a multiple answer question, but each provides multiple task answers for the student to answer, and the purpose of this type of choice question is to use a particular language, such as comprehension, spelling, pronunciation, grammar, etc. Train or test the accuracy of the student . However , students cannot be trained or tested for their speaking (communication) skills.

Also, with respect to Computerized Adaptive Testing (abbreviation CAT), students are provided with the most appropriate questions based on their ability, characteristics and responses to the questions. In other words, a computerized adaptive test is to generate a question item suitable for the student's level of ability, have the student answer, and obtain the student's test result from the answering ability, characteristics and response . However, even with such a test method, the student's speaking (communication) ability cannot be evaluated.

For the above reasons, task-based language learning (TBLL) or communicative approach language learning (Communicative Approach Language Learning) is submitted to train and test students' speaking (communication) abilities. Task-based language learning emphasizes speaking ability, and students can use the learned language to make meaningful tasks such as purchasing some items at fast food restaurants and arranging itineraries. Need to be completed. Teachers focus on whether the student actually completed the task, such as whether they actually ordered a particular product, rather than assessing the student's grades based on the accuracy of the student's linguistic expression during the task. And. Therefore, task-based language learning is particularly suitable for training students' speaking abilities and building confidence in speaking a foreign language.

In addition , communicative approach language learning methods allow students to communicate meaningfully using the language they are learning, and instead of grasping the exact grammatical structure or accents of native speakers, the target language in a variety of situations. The focus is on understanding the function and function of the language used, that is, the success of learning a foreign language is determined by the level of communicative competence of the learner.

However, at present, in language teaching institutions, most teaching methods for practicing speaking (communication) skills are either for teachers to simulate real-life scenes or for students in countries or environments where foreign languages are used. It's about getting in and learning in your life and work. Even in digital language learning systems, most of them teach and test by a method of multiple choice questions and truth questions . For example , the title of the invention is "multilingual learning system and learning method by virtual scene" (Patent Document 1). ) In Taiwan's patented invention, "The event unit 111 stores at least one event task that occurred in the subject", "Language learners answer questions during the event task, and the language is effective. And it is possible to learn step by step. "," The language learner breaks through the barrier in the event task by the question answer method, and here, the actuator 1 displays multiple answer options, and the language learner has the answer option. "Choose one to answer" and "Each subject mode contains at least one event task, where language learners can listen or listen by interacting directly with Virtual Character 3 by speaking or typing. Improves conversational ability. ”, And the content disclosed in the previous patent mentions the event task, which, like multiple choice questions, is one of the answer options for language learners. The answer is to select one, and in the so-called event task, there is no description as to whether or not it is relevant.

As mentioned above, since the task-based or communication approach language learning training or testing has not yet been performed using the digital language learning system, the digital language learning system performs the task-based or communication approach language learning training or testing. That is an urgent need.

Taiwan Invention Patent No. I614734

For the problems of the prior art, an object of the present invention is to provide a digital language learning method that is compatible with training or testing by task-based and communication approach language learning.

In order to achieve the object of the present invention, a task -oriented digital language learning method is provided, and the digital language learning method provides a virtual learning environment to a language learning terminal by a teaching content providing terminal. The virtual learning environment includes multiple task nodes, each of which contains one task problem and multiple task answers , each of which is connected to another task node and the task answer of the task problem. Corresponds to one of. A learning task is created for a language learning terminal in a virtual learning environment on the teaching content providing terminal, and the learning task is transmitted to the language learning terminal. The learning task requires the language learning terminal to complete multiple task goals, and the teaching content providing terminal starts from the start node set by the language learning terminal by the learning task, and the teaching content is provided. If the terminal receives the learner 's answer from the language learning terminal and this answer matches one of the task answers of the current task node, it connects to another task node corresponding to the task answer, as described above. When the teaching content providing terminal reaches the task node in which the language learning terminal is designated as the end node, the language learning terminal determines that the task goal is completed .

The task problem and task answer of each task node may be one of text, photograph, video, video and audio, or any combination of two or more.

The language learning terminal inputs the answer to the language learning terminal via the input device, then the language learning terminal outputs the answer to the teaching content providing terminal, and the input device is a keyboard, mouse, touch or voice input. It may be one of the above or any combination of two or more.

The method of creating a learning task by the professor content providing terminal is to create it by randomly selecting multiple task answers , or the language teaching terminal accesses the professor content providing terminal and multiple tasks in a digital virtual learning environment. It is created by selecting the answer by itself, or by accessing the teaching content providing terminal by the language teaching terminal and randomly selecting a plurality of task answers by the teaching content providing terminal.

The learning task provided by the teaching content providing terminal to the language learning terminal further includes a step of sending incentives, and when the teaching content providing terminal determines that the language learning terminal has completed the learning task, the incentive is provided. Is transmitted to the language learning terminal. Incentives include at least one of money, vouchers, bargain tickets , scoring or cryptocurrencies.

In addition, the teaching content providing terminal provides a task node to the language learning terminal, and the task node includes a task problem and a task answer.

Until the answer that the language learning terminal responds to the teaching content providing terminal matches one of the task answers of the corresponding task node, the answer is repeatedly answered, and if it matches one of the task answers, the related next Following the learning of the task node of, the learning task is completed when all the task goals are achieved .

As described above, the present invention has the following features .
1. 1. During the learning process of a learning task, the user must enter the task node corresponding to the task goal specified in the learning task and answer the required task answer in order to complete the task correctly.
2. 2. None of the task answers of each task node is set as the correct answer, and the language learning terminal answers the task problem according to the task goal required for each learning task. In other words, each task node has different correct task answers for different learning tasks because the language learning terminal performs different learning tasks and has different task goals that require a response.
3. 3. If the task answer that the language learning terminal responds to on one of its task nodes differs from the task goal required for the learning task, the language learning terminal may not enter some task nodes related to the task goal. That is, it does not answer the task answer question.
4. In a digital virtual language learning environment, language learning terminals respond to task answers by "semantics", rather than being determined solely by the accuracy of "syntax" such as pronunciation and grammar when answering task problems. ) Determines the next task node, because each task problem does not have a fixed correct answer. The task question displayed next follows the previous task answer, and the difficulty level is not the criterion for selecting the next question.
5. In a digital virtual language learning environment, a language learning terminal completes a learning task by training or testing its ability to speak (communicate) in a particular language, thereby training or testing with task-based and communication approach language learning. Achieve the purpose of the digital language learning method that achieves both.

It is a flow schematic diagram of this invention. It is a schematic diagram of an example of the task node answer of this invention. It is a schematic diagram of an example of a task problem and a task answer of the learning task of the present invention. It is another schematic diagram of the task problem and the task answer of another learning task of this invention. It is a schematic diagram of the task problem and the task answer of the learning task of shopping in a fast food restaurant of this invention. It is a schematic diagram of the video screen which displayed the learning task of the output device of the language learning terminal of this invention. It is a schematic diagram of the video screen which displayed the encouragement product screen of the output device of the language learning terminal of this invention. It is a schematic diagram of the video screen which displayed the task problem of the output device of the language learning terminal of this invention. It is a schematic diagram of the video screen which displayed the task answer of the output device of the language learning terminal of this invention.

Hereinafter, the present invention will be described in detail in the form of an example together with the accompanying drawings so that the features, contents, advantages and achievable effects of the present invention can be easily understood by a person having ordinary knowledge. , The drawings used herein are merely to exemplify or supplement the specification and thereby do not limit the scope of the patent in practice of the present invention.

As shown in FIG. 1, the present invention is a task -oriented digital language learning method applied to a teaching content providing terminal, and the teaching content providing terminal is a personal computer, a network server, a smartphone, or a digital virtual language. It can be any electronic device that can execute the learning software (application program), and the teaching content providing terminal performs the following steps when executing the digital virtual language learning software.
(S101) A digital virtual learning environment is provided, and the digital virtual learning environment includes a plurality of task nodes, each task node includes one task problem and a plurality of task answers , and each task answer includes a plurality of task answers. Connected to another task node.
(S102) In the digital virtual learning environment, the teaching content providing terminal provides the learning task to the language learning terminal, the language learning terminal creates a learning task to which a plurality of task goals are assigned, and each task goal is the task answer of the task node. Associated with one .
(S103) In the learning task, one of the task nodes starts from the start node set by the language learning terminal by the learning task, the teaching content providing terminal receives the learner 's answer from the language learning terminal, and the answer is the current one. If it matches one of the task answers in the task node, connect to the next task node associated with the task answer until the teaching content provider reaches the task node designated as the end node for the language learning terminal . , Repeat as described above.
(S104) The professor content providing terminal determines whether or not the language learning terminal has completed all the task goals required by the learning task by a method of determining whether or not the answer matches the task goal.

Furthermore, the method of creating a learning task in the digital virtual learning environment is to create it by the teaching content providing terminal randomly selecting multiple task goals, or the language teaching terminal accesses the teaching content providing terminal and digital virtual learning. It is created by selecting a plurality of task goals by oneself in the environment, or by accessing the teaching content providing terminal by the language teaching terminal and randomly selecting a plurality of task goals by the teaching content providing terminal.

For the purpose of encouraging language learning terminals to actively learn, language learning terminal learning tasks include incentives containing at least one of money, physical vouchers, bargain tickets, points or virtual currency. When the language learning terminal confirms that the learning task has been completed, the teaching content providing terminal sends incentive information to the language learning terminal.

In the present invention, the language teaching terminal and the language learning terminal may be a personal computer, a network server, a smartphone, or any electronic device capable of executing digital virtual language learning software (application program), and may be a teaching content providing terminal, a language. The teaching terminal and the language learning terminal can be connected via the Internet, or the teaching content providing terminal, the language teaching terminal and the language learning terminal use the intranet, or the teaching content providing terminal, the language teaching terminal. And the language learning terminal is the same electronic device that accesses the digital virtual learning environment with different ID permissions.

In order to further understand the present invention, examples will be given below.

As shown in FIG. 2, the digital virtual learning environment has nine task nodes, i.e., nine problems, and each task node has at least one task answer. As shown in FIG. 3, for a learning task in a digital virtual learning environment, task answers 1-A, 2-C, 7-B, and 10-A are set as task goals required by the learning task, or the figure. As shown in 4, another learning task in the digital virtual learning environment also makes task answers 1-C, 4-A, 7-A, and 9-A the task goals required by the learning task. It should be noted that the start node does not necessarily have to start from task problem 1, and may start from task problem 2 or another task problem.

As shown in FIG. 5, further, in the task node of the same architecture of FIGS. 2 and 3, the Chinese task problem and the corresponding task answer are illustrated as an example, and the digital virtual learning environment is a fast food restaurant. Yes, the task goal required by the learning task is to "order lemon-free, milk-filled tea at a fast food restaurant," that is, the task answer answered by the language learning terminal to complete the learning task. Must include tea (task answer 1-C), no need for lemon (task answer 4-A), and addition of milk (task answer 7-A). On the other hand, the task answers answered by the language learning terminal include wanting juice (task answer 1-A), wanting papaya juice (task answer 2-C), adding milk (task answer 7-A), and so on. If so, you may connect to the task problem of adding milk (task node 7 ), but you want tea (task answer 1-C) and you don't need lemon (task answer 4-A). Cannot be executed on the task node corresponding to the task goal of the learning task, and the learning task cannot be completed.

As another example, if a learning task requires a language learning terminal to "order papaya milk at a fast food restaurant," the learning task can be started from task node 1 or task node 2, but other task nodes. You can't start from. That is, the starting node that creates the learning task can only be from the task node that may be associated with the task goal required by the learning task to prevent the created learning task from being completed by the language learning terminal. I can't start.

Further, in the present invention, when the teaching content providing terminal displays the task node on the language learning terminal, the task problem of the task node may be one of characters, photos, videos, videos and sounds, or any combination of two or more. , Provides task answers, etc. For example, as shown in FIG. 6, if each learning task displays all the task goals required by the learning task at the start node, the digital virtual learning environment is in the form of a video with a fast food restaurant in the background. The photo is displayed on the language learning terminal as the start node, and the task required by the learning task, "Buy a cheeseburger, a large hot coffee with milk and sugar. This is a take-out order.", Is subtitled and voiced. Output to an output device (eg, display, speaker) of a language learning terminal (eg, personal computer, smartphone, tablet computer). As shown in FIG. 7, after the language learning terminal outputs the movie screen of the starting node and before displaying the subsequent task node, it is possible to display the incentive information given when completing the learning task. Only after confirming that the language learning terminal has completed the learning task, the incentive item corresponding to the incentive information is given.

Each task problem and task answer that each task node tries to display on the language learning terminal is determined by the output device of the language learning terminal in one of characters, photographs, videos, videos and sounds, or in any combination of two or more. It can also be output. As shown in FIG. 8, as a method of displaying the task problem on the output device of the language learning terminal, various types of hamburger pictures are displayed on the video screen, and the characters of the task problem are displayed as banner subtitles at the bottom of the video screen. Is displayed and the sound corresponding to the subtitle characters is output. Further, as shown in FIG. 9, as a method of displaying the task answer on the output device of the language learning terminal, the characters of all the task answers are displayed as banner subtitles at the lower part of the video screen.

Furthermore, if the answer does not match any of the task answers of the task node to be responded to, the teaching content provider will continue until the answer of the language learning terminal matches one of the task answers of the task node to be responded to. The task answer prompt is repeatedly transmitted to the language learning terminal, and the task node corresponding to the task answer is connected . The method of displaying the end node on the output device of the language learning terminal will not be described in detail because it is the same as or similar to the above-mentioned start task, task problem, and task answer.

Further, in the above example, interactive video is taken as an example, but the present invention is not limited to this in an actual implementation, and virtual reality (virtual reality, abbreviation VR), augmented reality (abbreviation AR), and so on. It may be expressed by a method such as augmented reality (abbreviation SR) or compound reality (mixed reality, abbreviation MR), and interactive video, VR, AR, SR, or interactive technology by MR is a conventional technology. , Not described in detail here, provided that task-based or communication-approach language learning training or testing was performed using interactive video, VR, AR, SR, or MR prior to filing the present invention. There was no.

According to the above, the present invention achieves the purpose of training or testing task-based language learning based on whether the answer by the language learning terminal is one of the task goals, and at the same time, the task using voice input. Achieve the purpose of the communication approach language learning training or test by entering the answer. Also, because the learning goals are different for each learning task, even if the language learning terminal enters the same task node, it does not always answer the same task answer, and it is different from the conventional multi-limb selection test that uses a predetermined standard answer. Is different. Furthermore, since the task goals included in the entire learning task correspond to different task answers of each task node, the learning task cannot be completed unless the language learning terminal enters the task path composed of a specific task node, but learning Even if the task cannot be completed, it enters the end node, ends the current learning task, and as can be seen from the above example and FIGS. 2-4, determining whether the learning task has been completed is not the difficulty of the problem. , Is done according to the task path consisting of the task answer.

As mentioned above, the invention is completely novel, has no similar disclosures or prior applications, and has industrial applicability with significantly improved effectiveness, so it has been patented in accordance with the law. However, the present specification is merely an explanation of suitable embodiments and does not limit the scope of the patent, and all modifications and modifications made to each component belonging to the principles and techniques of the present invention are the present invention. Should be included in the scope of the patent.

Claims (4)

The teaching content providing terminal uses a personal computer, a network server, a smartphone, or any electronic device capable of executing digital virtual language learning software, and the teaching content providing terminal provides a digital virtual learning environment and digital language learning software. The digital virtual learning environment contains a plurality of task nodes, each task node contains one task problem and a plurality of task answers corresponding to the task problem, and each task answer is as follows. A step that is connected to the relevant task node and each of the task answers is one of text, photo, video , video and audio, or any combination of two or more.
In the digital virtual learning environment, the teaching content providing terminal provides a learning task to the language learning terminal, the language learning terminal creates the learning task to which a plurality of task goals are given, and each task goal is the task. The step associated with one of the task answers corresponding to the node,
The language learning terminal starts learning from the start node set by the learning task, one task node is connected to the start node, and the teaching content providing terminal receives a learner's answer from the language learning terminal. The language learning terminal outputs the answer to the teaching content providing terminal by one or any combination of one or more of keyboard, mouse, touch or voice input, and the answer is one of the task answers. In the step of repeating the answer until the answer is matched, and outputting the answer to the teaching content providing terminal, if one of the task answers is matched , the learning of the next related task node connected is continued. When the learning task is completed, the step to reach the end node set by the learning task and
The teaching content providing terminal is a method of determining whether or not each of the answers being learned matches the task goal, and has the language learning terminal completed all the task goals required by the learning task? A task-oriented, digital language learning method that includes steps to determine whether or not. The learning task further includes a step of sending incentives, and when the language learning terminal determines that the language learning terminal has completed the learning task by the teaching content providing terminal, money, a physical exchange ticket, a bargain ticket, a score or a virtual The task-oriented digital language learning method according to claim 1, wherein an incentive containing at least one of the currencies is transmitted to the language learning terminal. The task-oriented according to claim 1, wherein when the teaching content providing terminal displays the task node on the language learning terminal, the task problem related to the task node and the corresponding prompt for answering the task are provided. Based on digital language learning methods. When the answer does not match any of the task answers among the task nodes to be answered, the teaching content providing terminal is the task node to which the answer answered by the language learning terminal is the answer target. The task-oriented digital language learning method according to claim 1, wherein the task node is repeatedly transmitted to the language learning terminal until one of the task answers is matched.

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