How to teach Reading Analytics - an attempt
- The top 20% students are easy to see. They participatte in the video conferences, access the thread discussions quickly, etc.
- The bottom 20% students are also easy to find. They do not log in, do not participate, do not access the documentation in time, etc.
- However, what happens with the remaining 60%? I never know. They log in but seldom participate. The access the thread discussions and sometimes participate, but sometimes not. Are they having any issues? Can I help them anyway?
Unit 1 - Theory of reading
Unit 2 - Neurology of reading
Unit 3 - Traditional reading analysis
Unit 4 - Reading behavior analysis
Unit 5 - Technology, psychology and ethics
- Technology: mobile app technology is the best current way to obtain reading data from a statistically significant volume of readers. But there are other things that are being built. Some are too early for everyone to use it. Some are totally available but we still do not know whether they should be used or not.
- Data: the ability to manage gigabytes like nothing has changed the culture of data-intensive products. But at the same time, most customers have very simple (but critical) needs. We should not just forget about the low-hanging fruits that good, advanced data analysis may provide. Deep Learning is cool, but how many readers do we need for it to actually work? This requires very specialized people that actually understand data in different scopes: from the huge gigabytes of reading behavior to the small data related to how the metadata of a book informs us of some special characteristics we previously did not realize.
- Psychology: in some cases, reading is an engagement game. The author tries to engage the reader with language, action or settings. The reader wants to be engaged... but what if it just doesn't work? What if our current context-switching life is taking us to Netflix? A great movie is just... great. But aren't we missing the advantages and pleasures of a long reading session at home? In some cases, technology can be a crucial role in engaging readers. I am a believer that current reading technology does not help add, but remove, reading fans. But that can change, and behavioral psychology may help on that.
- Ethics. Last but not least at all. If something has changed in the last couple of years has been our understanding of how privacy affects us all in this online world. Therefore, anything that smells like "obtaining data from me" is a no-no. How can we make good use of reading data without compromising the values and the law? This is where ethics comes into play (and for instance, the reason why Quantified Reading has an Ethics statement from day 1).