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README.md

MOOC-Learner-BigQuery-Data-Science-Analytics

Data science analytics for MOOC data stored in BigQuery.

Analyzing student code trajectories

  • Extracting EdX Data From BigQuery in extrac/extract_bigquery_csv.ipnb

  • Scraping solution history from EdX in scrape/scrape_history.py

  • Creating keyword features in scrape/make_keyword_features.py

  • Training Variational Autoencoder on keywords in models/vae_keywords.py

References

@inproceedings{bajwa2019analyzing,
  title={Analyzing student code trajectories in an introductory programming MOOC},
  author={Bajwa, Ayesha and Bell, Ana and Hemberg, Erik and O’Reilly, Una-May},
  booktitle={2019 IEEE Learning With MOOCS (LWMOOCS)},
  pages={53--58},
  year={2019},
  organization={IEEE}
}

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Data science analytics for MOOC data stored in BigQuery. Use case for program similarity

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