metadata
language: en
license: apache-2.0
tags:
- text-classification
- education
- taxonomy
- blooms-taxonomy
- learning-objectives
datasets:
- custom
metrics:
- accuracy
- f1
widget:
- text: Students will recall the basic principles of thermodynamics
example_title: Remember Example
- text: Learners will explain the difference between mitosis and meiosis
example_title: Understand Example
- text: Apply Newton's laws to solve motion problems
example_title: Apply Example
- text: Analyze the causes and effects of climate change
example_title: Analyze Example
- text: Evaluate the effectiveness of different teaching methodologies
example_title: Evaluate Example
- text: Design and implement a database management system
example_title: Create Example
pipeline_tag: text-classification
Bloom's Taxonomy Classifier
Model Description
This model classifies educational learning objectives according to Bloom's Taxonomy (revised version), which categorizes cognitive processes into six progressive levels of complexity.
Taxonomy Levels
- Level 0: Remember - Recall facts and basic concepts
- Level 1: Understand - Explain ideas or concepts
- Level 2: Apply - Use information in new situations
- Level 3: Analyze - Draw connections among ideas
- Level 4: Evaluate - Justify decisions or positions
- Level 5: Create - Produce new or original work
Model Details
- Model Type: BERT-based sequence classification
- Base Model:
bert-base-uncased - Fine-tuned on: Custom dataset of educational learning objectives
- Language: English
- License: Apache 2.0
Training Data
- Dataset Size: Educational learning objectives across multiple domains
- Domains: STEM, Humanities, Social Sciences, Professional Skills
- Balance: Stratified across all six taxonomy levels