towards the development of a learning analytics extension in open edx

Towards the Development of a Learning Analytics module

in Open edX Presenter: Pedro J. Muñoz-Merinoe-mail: pedmume@it.uc3m.es, Twitter: @pedmume

Javier Santofimia Ruiz, Héctor J. Pijeira Díaz, José A. Ruipérez-Valiente, Pedro J. Muñoz-Merino, Carlos Delgado KloosUniversidad Carlos III de Madrid, Spain

Learning Analytics Cycle

Generation and data capture

Transform raw data

Visualizer

Recommender

Report generatorLow level data Higher level

information

What data is necessary

What to do with high level information

What to obtain and How to do it

Technological problems arise

Correlations, causality, clustering,prediction

2Do Optional Activities Matter in Virtual Learning Environments?

EC-TEL 2014

3

Different systems• Depending on the system, there are

different types of events and different type of information that can be reused but there are specificities:– Programming environment for learning C

– Khan Academy

– edX

4

Inference of information (I)

• Type of information– Progress

– Efficiency, time distribution

– Emotions

– Optional activities

– Students behaviours (try abuse, hint avoidance, unreflective)

– Gamification habits

5

Inference of information (II)

• Based on– Pedagogical theories

– Best practices

– Adaptation of models from other systems

– Indicators that can predict important information

6

Visualizations

7

Interpretation of the information and actions

• Combination of different parameters and visualizations

• Relationship mining

• Determining causes

• Prediction– Learning gains

– Social activity

• Recommendation

Towards the Development of a Learning Analytics module

in Open edX Presenter: Pedro J. Muñoz-Merinoe-mail: pedmume@it.uc3m.es, Twitter: @pedmume

Javier Santofimia Ruiz, Héctor J. Pijeira Díaz, José A. Ruipérez-Valiente, Pedro J. Muñoz-Merino, Carlos Delgado KloosUniversidad Carlos III de Madrid, Spain