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---
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
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