Teaching Module Generator

In coop­er­a­tion with David Jonas Cas­tan­heira, I devel­oped an auto­mat­ic Teach­ing mod­ule gen­er­a­tor, that gen­er­ates new les­son con­tent, based on the texts of all first year teach­ing mod­ules with­in the Media Fac­ul­ty of the HKU. 


We used Pro­cess­ing and the RiTa library (Ver­sion 1.12; Howe 2015) to per­form nat­ur­al lan­guage pro­cess­ing of all exist­ing teach­ing mod­ule descrip­tions and made an auto­mat­ic teach­ing mod­ule gen­er­a­tor. It gen­er­ates a ran­dom­ly assem­bled, but per­fect­ly read­able text. This way, one gets a good impres­sion of the lan­guage use and ‘tone of voice’ across the dif­fer­ent disciplines.

This instal­la­tion, togeth­er with the HKU Media twit­ter bot, is part of a research project com­mis­sioned by the Exper­tise­cen­trum Edu­catie of HKU Utrecht Uni­ver­si­ty of the Arts, on the pos­si­bil­i­ties of lan­guage tech­nol­o­gy with­in an art cur­ricu­lum, whether for ana­lyt­i­cal pur­pos­es, or as a toolk­it with­in a cre­ative process. This project, with this instal­la­tion as a proof of con­cept, is also a plea for embrac­ing more emerg­ing tech­nolo­gies like arti­fi­cial intel­li­gence, data visu­al­iza­tion and nat­ur­al lan­guage pro­cess­ing in art education.




Gen­er­a­tive video instal­la­tion / print­ed text generator

In cooperation with

David Jonas Castanheira


HKU Media, Utrecht

Sym­po­sium on lan­guage, curat­ed by Cor­rie Nagtegaal