Tips for Conducting Online Workshops

  1. Keep the talking part of sessions between 20-40 minutes.
  2. Have 2 or 3 sessions distributed through the day.
  3. Have people work on things individually or in small groups.
  4. Identify clear (intermediate) deliverables each day.
  5. Let people present/showcase their work in the final session.
  6. Set up a system to track engagement
  7. Create a system of #LearningAnalytics and #TeachingAnalytics (even simple metrics are good to have in the beginning)

There are lots of research papers on #LAK (Learning Analytics and Knowledge).

We did 1 to 6 (above) for our first workshop.

Working on 7 for future events.

Resources:

1. https://bit.ly/2VErMVK – a 5-minute video on drop out rates.

2. Research papers (free for now) https://lnkd.in/gRNh9Yp

Looking for data sets?

If you are trying to build Machine Learning/AI applications, you may need a lot data to test your models. Here are a few of my favorite lists and a search engine for finding data sets.

  1. Kdnuggets Datasets for Data Mining and Data Science
  2. Google Dataset Search is another cool resource. I discovered it while browsing through the KDnuggets page.
  3. Awesome Public Datasets repository is a GitHub repository of resources. Check out many other data sets on GitHub.