e-Learning Blog

Reflections on the Knowledge Society

  1. Four myths about personalisation of learning
    Personalisation is often hailed as a remedy for the “one-size-fits-all” teaching approach. The idea of personalised learning is tightly connected to technology, because it is generally accepted that human resources are limited and not scalable into a one-on-one teaching ratio. Of course, the semantics involved in technology enabled personalisation differs completely from human-to-human personal interactions. […]
  2. Privacy and pedagogy in learning analytics
    This is an interesting thought: Tore Hoel and Weiquin Chen in their paper for the International Conference on Computers in Education (ICCE 2016) suggest that the forthcoming European data protection regulation (GDPR), which is to be legally implemented in all member states by 2018, actually may drive pedagogy! As unlikely as this may sound, I […]
  3. Higher Education falling apart!
    I am not sure whether the worrying developments in HE play into the hands of those people advocating disruptive change or the idea of abolishing the HE system altogether. As you can read here below, I am not one of them, as I believe education to be in the common public interest and a matter […]
  4. Divergent data analyses
    If you are like me on different scholarly social networks simultaneously, you probably asked yourself this same question: why do my analytics diverge so greatly between these platforms? I have one article that has been cited 208 times on Google Scholar, 106 times on ResearchGate, and only 7 times on Academia.edu. Another more recent one […]
  5. Biased insights from learning analytics
    If you build them yourself, learning analytics tools can do what you expect them to. That is the idealised scenario in the learning analytics community, meaning that in order to get valuable insight and foresight from your learners’ data, one should start with a proper learning analytics design! This includes what data will be collected, […]

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