Hackademics AI

Recently, I have been investigating Artificial Intelligence (AI) and Machine Learning (ML) and possible applications of this technology to an educational context and beyond. Being creative with technology in an educational context (#hackademics) is something I am very passionate about.  Now that Google’s DeepMind / TensorFlow has been Open sourced at GitHub, it would be great to come up with a proof of concept of using ML /AI to help students stay in their Zone of Proximal Development (ZPD) by suggesting appropriate Learning pathways. I was very inspired by Demis Hassabis (@demishassabis) autumn Lecture


AI is still in its infancies and not very practical for secondary education. AI experiments as Autodraw.com will give some traction to this movement and I am really very happy they are opening this technology to anyone with an idea. See other experiments here and other implications here. I can’t wait for summer recess to investigate this further and come up with a proof of concept.

Hackademics JASP

Now that we are collecting data with http://werenfridus.Quayn.eu and forms.Google.com we would like to have this data become beneficial to students. I need help with the analysis of this data.  Quayn has some built in options and sheets.google.com offers ‘investigate’ to help with the analysis. Yet none of this is automated and tailored to help students.

Hackademics JAPS

An alternative to SPSS is Jasp. Jasp allows the user to make a statistical analysis.

You can find more at Jasp.org and here is an install guide for OSx : https://jaspnonprofits.wordpress.com/2015/08/12/installing-jasp/

Is JASP something for our students /teachers to learn?
I should ask our STEM teachers, but making statistical analysis should be common sense in any PDCA-cycle.
There are workshops available in Amsterdam:
https://jasp-stats.org/upcoming-events/jasp-workshop/