Workshop on Generating Actionable Predictions on Student Success: The role of Learning Design

EC-TEL 2019 CONFERENCE

FOURTEENTH EUROPEAN CONFERENCE ON TECHNOLOGY ENHANCED LEARNING
Transforming Learning With Meaningful Technologies
Delft, 16-19 September 2019

WORKSHOP GOALS
The first objective of this session is to teach the how to generate actionable predictions on student engagement using in-situ learning approach. Participants will be guided to compute relevant features to build a predictive model and to train the model with in-situ learning approach in Python Scikit-Learn. Learning and practising the model building and testing approaches in the session will motivate participants to build real-world interventions with predictive machine learning models.

The second objective is to illustrate the participants how to inform the feature selection with Learning Design, which is highly discarded in the literature. Features informed by learning design of the context studied can lead to more powerful models. In the session, participants will experience how to interpret the learning design to create features more relevant in the context.

In order to register please visit the Official Conference Website.

For more information about the session visit the Official Workshop Website.