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learning

vr.tr.learning · thing-q133500

Let an agent handle learning by type, goal, method, evidence and assessment, and separate human learning from machine learning.

Thing Registry Activities and processes ACT.ACT
Bundle → Layer → Finding → QuestionsClassifiersWhat it isWhy it existsDistinguishing featuresWhat robots and AI may and may not doMoral aspectsOwnersLinks to other meta-modelsIdentity and identifiersDirect propertiesRecognitionCapabilities and actionsHazards and failure modesStandards and interfacesContext of useSources

Bundle → Layer → Finding → Questions Filled

4 bundles · 8 layers · 8 findings · 16 questions

Goal What is learned.

Outcomes

Knowledge and skills.

Outcomes

Learning outcomes.

  1. What should the learner know or be able to do? definition
  2. At what level? measurement

Setting

Formal or informal.

Setting

Learning setting.

  1. Is the learning formal, non-formal or informal? definition
  2. Is it recognised or certified? provenance
Method How to learn.

Techniques

Practice and retrieval.

Techniques

Learning techniques.

  1. Which techniques have good evidence for this goal? provenance
  2. How should practice be spaced? action

Support

Teaching and tools.

Support

Support.

  1. What teaching or tools support it? action
  2. Are they accessible? boundary
Assessment Progress.

Measure

Tests and portfolios.

Measure

Assessment.

  1. How is progress assessed? measurement
  2. Does the assessment match the goal? boundary

Feedback

Improvement.

Feedback

Feedback.

  1. What feedback does the learner get? action
  2. How quickly? measurement
Learners Individual needs.

Needs

Difficulties.

Needs

Learning needs.

  1. Does the learner have needs that call for adjustments? boundary
  2. Who can assess them professionally? action

Motivation

Engagement.

Motivation

Motivation.

  1. What keeps the learner engaged? definition
  2. What gets in the way? boundary

Classifiers Filled

Family
Thing Registry
Category
Activities and processes
Entry kind
thing
Plane
ACT
Domain
ACT.ACT
Other names and narrower kinds
computer-assisted learning, learning competence, service-learning in engineering education, learning process, service learning, rote learning, fear conditioning, Berufsbegleitendes Studium, martial arts progression, educational activity, sensorimotor learning, instant aging

What it is Filled

The process of acquiring new knowledge, skills, behaviours or understanding through experience, study or teaching, in humans, animals and machines by analogy.

Why it exists Filled

Let an agent handle learning by type, goal, method, evidence and assessment, and separate human learning from machine learning.

Distinguishing features Filled

  • Change in knowledge or behaviour from experience
  • Formal, non-formal and informal
  • Methods differ in evidence
  • Individual differences matter

What robots and AI may and may not do Filled

Must not

  • Do assessed work for a learner and present it as theirs.
  • Share learners' records, especially children's, beyond those entitled to see them.
  • Label a learner as unable or limited from narrow data.
  • Teach falsehoods as fact.

Only with a human decision

  • Making decisions about a learner's grades, placement or progression.

May

  • Support a person's learning with accurate explanations and practice.
  • Report learning progress to the learner and those they have agreed to share it with.

Moral aspects Filled

  • Learning shapes people's futures; labels and errors can follow them for years.
  • Children's learning data needs special protection.

Who is affected

  • Learners
  • Teachers
  • Parents and guardians

Owners Filled

Steward

The learner; schools and universities keep official records of study.

Master systems

  • Education records of schools and universities

Links to other meta-models Filled

parent

  • Q11398090 - registry parent class
  • Q14819853 - registry parent class

related

  • process and creation - category
  • teaching and education - practice
  • assessment - evaluation
  • machine learning - another sense

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.learning
  • Wikidata: Q133500 (https://www.wikidata.org/wiki/Q133500)

Direct properties not applicable Not applicable

Not applicable

Plane ACT: no invented physical properties.

Recognition optional Filled

  • Formal, non-formal and informal settings
  • Methods such as spaced practice or service learning
  • Machine learning is a separate entry
  • Study, practice, instruction and experience over time.

Capabilities and actions required Filled

  • set learning goals
  • choose evidence-based methods
  • assess progress
  • support learners with difficulties

Hazards and failure modes required Filled

  • Relying on myths such as learning styles
  • Unmet learning difficulties
  • Assessment that measures the wrong thing

Standards and interfaces required Filled

  • National qualification frameworks
  • European Qualifications Framework
  • Disability and inclusion law in education

Context of use required Filled

  • Gaining knowledge and skills.
  • formal and informal learning
  • experiential and service learning
  • rote and meaningful learning
  • computer-assisted learning
  • lifelong learning

Sources Filled

  1. Wikidata item Q133500: learning - identity and sense of the item
  2. Wikipedia: Learning - general description of the item

Open questions

  • Should learning types be separate entries?
  • How should learning outcomes be recorded?
  • How should the machine learning sense be split off?

Machine files

Card as JSON Specification Card backlog vercy.card/1

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q133500/spec.json