Learning the vocabulary with AI.
Two major cases.
The DTA can provide an intelligent environment
The intelligent scene: the things talk to you. They tell their names. Even tell you aloud. You have quests. Just as in a game. And you learn skills while playing. The difference here is that the skills you learn in this game have long-lasting value. This article is explicitly licensed Public Domain (CC0).
- There are many instances of learning a second or subsequent language.
- The objective is always the same:
- Get able to use the language in effective communication with native speakers.
- Instructional procedures are well understood. The only problem: it takes practice.
- Practice takes time.
- A less obvious case occurs when students prepare to study a specialized subject.
- Here they do not learn a whole new language but only a specialized vocabulary.
- Some of the words are familiar to them, but the meaning is specialized.
- And some of the things mentioned may be dangerous or inaccessible.
- Example: anatomy, surgical tools.
- This is a major part of learning a language.
- In case 1, the objects are familiar and have names in the native language.
- The goal for the student to be able to name the objects in the target language.
- In case 2, the objects are unfamiliar (in detail) and would be called a generic name.
- The goal for the student is to be able to the technical name for each object.
- The verb attach is abstract. In concrete terms, it refers to the following subtasks:
- See the object and give the target name in text or speech.
- Read or hear the name in the target language and find the object.
- Read or hear the name in the target language and give a definition.
- Other parts of speech generally need added nouns to have meaning
- Verbs: objects in action (animations)
- Adjectives: properties of objects.
- Prepositions: relations among objects.
- Et cetera
- Most speech about the environment can be represented in virtual worlds.
- Yes, multiple, just as common experience has multiple scenes.
- And language has scene affinities.
- We learn what things are common to what places. Situational learning.
- Farm animals are common to a farm, not to a school classroom.
- A digital world can take students to an intelligent farm.
- And not just to one place, but to various places where farm animals may be found.
- A field, a barn, a truck. a pen.
- More generally, every vocabulary term needs scenes where it would be found.
- Such scenes would probably host multiple terms.
- For every term there would be digital versions of a few concrete instances.
- But it the digital world, the instances can be smart.
- The digital cows don't just say "Moo."
- On click, they can say "cow" aloud and display the name in text.
- They can also give a token or otherwise record the click
- The token shows that the learner has found the correct object.
- The cow's actual response depends on the learner's achievement level.
- More skilled learners would get less support.
- Adaptive learning (Search)
- Adaptive learning (Wikipedia)
- Since verbs denote action, they need action to represent them.
- In a digital world, they could be rendered by animations, by GIFs, or by videos.
- Adjectives describe nouns and so would already be represented in the scenes.
- The study of adjectives would be stimulated by exercise questions;
- Not "Find a cow." Instead, "Find a brown cow."
- Prepositions also deal with properties of nouns and so could be represented in the scenes.
- The exercise questions would ask for "the cow in the barn."
The AI vocabulary class as a game
- The collection of scenes can provide all the vocabulary information of a textbook.
- If we bring the learning task into the digital world, it looks more like a game that like school work.
- The old school assignments can become games that learners play.
- As they play they can earn badges and progress through ascending levels.
- That is much like doing homework, passing tests, and passing grades.
- And you can add social interaction in the game. That is not at all like the old days.
- But it is a lot more like speaking a language than than it the old days,
- Language learning in virtual worlds. What the Digital Teaching Assistant could do
- Language learning: What could a virtual (online) campus offer?
- Web-world use case: Conversational spoken English! Or any other language
- Just-In-Time (JIT) learning in virtual schools, maybe with DTA coaching. Language as an example
- Guinivere project: A Language learning game in a 3D immersive environment
- The CAMELOT-GUINEVERE project: Learning language in virtual worlds
- At Spanish Language Learning at Escape--El Dia de Los Muertos
- Escape to a New Way to Learn Spanish, invited post by James T. Abraham, Ph.D.
- Spanish Language Learning Island. Situated learning, immersive learning
- EduNation: Virtual Worlds for language education
- Edutopia 1 and 2: Places for practicing English as a second language
- Language learning in virtual reality. Learn It Town sim: ESL (VWMOOC)
- Language learning in an immersive world. Maybe this is the way to do it.
- Language learning in the new century: Reports: a collection of efforts
- English as a second Language: ESOL, EFLTreasure hunt. The game of learning!
- English as a second Language. Virtlantis and the holodeck
- EduNation: Virtual Worlds for language education
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- I am available for free consulting on any topic in this blog.
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- I will be in both places, so you may need to speak to get my attention.
- Web-worlds, 3D virtual worlds running in a browser. Summary
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