2020 #DTA: #VWEDU: Learning the vocabulary with gamification and AI. Intelligent environment for routine instruction.

Learning the vocabulary with  gamification and AI.  
Intelligent environment for routine instruction.  
Gamification 

The intelligent scene (DTA) can manage an instructional game.  Here such a game is described as teaching vocabulary for learning a second language.  This article is explicitly licensed Public Domain (CC0).

Magnolia gardens

• Magnolia gardens of knowledge . A demonstration of introductory training on the parts (of anything)

Vocabulary learning cases

• Case 1 learning a second or subsequent language.
• Case 2 learning a specialized vocabulary.

A starting model for an AI vocabulary-learning environment

• Scene design:
• Gamification: (after the break)
• Solo task design and gamification (TBD)
• Social task design and gamification (TBD)
• Plans for evaluation of performance (TBD)
• This model is written about learning nouns (objects) but can be extended to other parts of speech.

• Update 1/23/2020 OSCC videos are up. SceneGate improvements. Brand New Grid: Rêves Fantastiques

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Elements of gamification

• Seven Key Elements of Gamification, Plus or Minus Two
• FLEXIBLE LEARNING or ACHIEVEMENT PATH 
• REWARD STRUCTURE
• CLEAR RULES
• QUESTS
• Fast FEEDBACK
• Badges
• Leaderboards
• Avatars
• Narrative

Gamification in this learning model

• Leaderboards are easy for the Digital Teaching Assistant  (DTA).
• Avatars are standard in virtual worlds.
• Multiple narratives can be provided by the instructional planner.  
• Each turn is a quest for a vocabulary term.
• Badges (and levels) are earned by completing a specified set of quests.
• The completion of the quests demonstrates mastery of that set.
• The learner's task is to click on the correct object.  
• The click gets immediate feedback as to whether the choice was correct.
• Each correct choice earns a token.  In a narrative it might also earn a game object, 
• The object would be something of value in the game: a bullet, arrow, potion, etc.
• The token and game object would be the immediate reward. 
• A specified token collection would give access to a new level (badge) 
• Access to a new level would be a reward for a set of quests.
• The new level would probably give added powers to the avatar (and player).
• The tasks are simple actions and should be clear when the learner learns the target association.
• Flexibility of the learning path can be provided by the game designer.

Flexibility means learner options

• Multiple options can be offered by a computer-based system.
• -
• Vocabulary scene alternatives: Kitchen, market, shopping mall.
• The scene carries words that fit that environment.
• The novice can choose where to start.  
• A few scenes would teach vocabulary relevant to narratives.
• Most scenes would teach basic vocabulary.
• -
• Narrative: Can be drawn from action-adventure games.
• Action-adventure games (search)
• Action-adventure games  (Wikipedia)
• -
• Task detail: Tasks generally require knowing the name of something in the target language.
• The learner can be allowed to choose among the items,at least at the start.  
• The learner will eventually have to tackle the hard ones, but the easy ones build confidence. 

Badges show progress on skill levels 

• They are like passing tests, but tied to more specific progress in language learning.
• A specified collection of badges earns a skill level
• Examples of badges:
• Scene badges, nouns: 
• Given the name (in text) of a target object, you can recognize it when you see it.
• You can name (in text) any target object on sight.
• Given the spoken name  of a target object, you can recognize it when you see it.
• You can speak the name of any target object on sight.
• You reach a skill level by demonstrating that skill.
• Analogous tasks would be required for verbs, adjectives, and adverbs.
• Vocabulary badges (for languages):
• You can understand and use a vocabulary of n words (n explained below).
• Increasing values of n denote rising skill levels. 
• The target n may be: 3000 MOST COMMON WORDS IN ENGLISH

Solo or social?

• Language is inherently social.  
• Digital worlds allow people to gather and interact as a group.
• The environments (places) can be designed for instructional benefit.
• But the environment can interact with a learner, so vocabulary practice can be solo.

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License

• Original text in this blog is CC By: unless specified public domain.
• Use as you please with attribution: link to the original.
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• Annotated screenshots made with Jing
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• Selby Evans in Kitely and hypergrid, Thinkerer Melville in Second Life.