Presentation at ASU's EdPlus
I was invited to speak at ASU's EdPlus where I talked about my projects in Educational Data Mining & Personalized Learning, Representational Learning using embeddings, Transfer Learning for image analysis and Network Representations.
I received great feedback and will continue the collaboration with EdPlus's Action Lab!
Take-aways from my talk:
- Learning is multimodal and happens everywhere!
- Applying state-of-the-art Data Science approaches to Computer Science Education is useful & fun!
- Predictive Modelling using Multimodal Learning Analytics is successfully leveraged to personalize learning
- Meaningful interventions can be employed using Networks and Hidden Markov Model approaches
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