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