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metadata
language: en
license: apache-2.0
tags:
  - text-classification
  - education
  - taxonomy
  - dave-psychomotor
  - learning-objectives
  - motor-skills
datasets:
  - custom
metrics:
  - accuracy
  - f1
widget:
  - text: >-
      Students will observe and replicate the proper hand positioning during
      violin lessons
    example_title: Imitation Example
  - text: >-
      Learners will perform the CPR procedure following the training manual
      guidelines
    example_title: Manipulation Example
  - text: >-
      Nurses will accurately draw 5mL of medication into a syringe with 0.1mL
      precision
    example_title: Precision Example
  - text: Physical therapists will coordinate breathing patterns with stride rhythm
    example_title: Articulation Example
  - text: Expert surgeons will intuitively navigate complex anatomical structures
    example_title: Naturalization Example
pipeline_tag: text-classification

Dave's Psychomotor Taxonomy Classifier

Model Description

This model classifies educational learning objectives according to R.H. Dave's Psychomotor Domain Taxonomy (1970), which categorizes motor skills and physical abilities into five progressive levels.

Taxonomy Levels

  • Level 0: Imitation - Observing and copying actions of others
  • Level 1: Manipulation - Performing actions according to instructions
  • Level 2: Precision - Skills executed with accuracy and control
  • Level 3: Articulation - Coordinating multiple skills and adapting
  • Level 4: Naturalization - Automated, unconscious mastery

Model Details

  • Model Type: BERT-based sequence classification
  • Base Model: bert-base-uncased
  • Fine-tuned on: Custom dataset of psychomotor learning objectives
  • Language: English
  • License: Apache 2.0

Training Data

  • Dataset Size: 298 learning objectives
  • Balance: ~60 examples per level
  • Domains: Medical/Healthcare, Sports, Performing Arts, Skilled Trades, Technology, Culinary Arts, Manufacturing, Emergency Services, Laboratory Sciences, Fine Arts

Usage