What we can learn from the ephemeral web

Learning Platforms have flourished in the past decade, and as they have scaled with the rise of MOOCs, the data inside them has also become increasingly valuable. Different people see different value in this data. Some want to analyse data to predict outcomes and trigger early interventions when needed. Others want to analyse large datasets to advance machine learning techniques. Many more just see dollar signs in anything related to ‘big data’ so, in true startup fashion, they start collecting huge quantities of learner data now in anticipation of monetising it later.

But the learning technologies world needs to be mindful of the increasing unease among consumers about the storage of personal data by software providers and organisations, particularly among Millenials. Common concerns centre around data privacy issues, the ethics of amassing huge volumes of personal data, the exploitation of users by those collecting data, excessive government monitoring of citizens and the permanence of stored data.

Continue reading “What we can learn from the ephemeral web”