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metadata
title: Curriculum Alignment Inference
emoji: 🎓
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
Curriculum Alignment Inference
Hugging Face Space for predicting alignment between Course Learning Outcomes (CLO) and Sub-CLO using Bloom's Taxonomy classification.
Features
- 4 Different Models for inference comparison
- Bloom Taxonomy Classification (Cognitive, Affective, Psychomotor)
- Alignment Detection based on domain and level rules
Models
| Model | Type | Description |
|---|---|---|
| Fine-tuned IndoBERT | Deep Learning | Sequence classification from HF Hub |
| Siamese IndoBERT | Deep Learning | Direct alignment prediction from paired inputs |
| SVM | Machine Learning | Support Vector Machine (local) |
| LightGBM | Machine Learning | Gradient boosting classifier (local) |
Alignment Rules
Two learning outcomes are aligned if:
- Same Bloom domain (C/A/P)
- Sub-CLO level ≤ CLO level