<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Teaching on Arnold Hoogerwerf</title><link>https://arnoldhoogerwerf.statichost.page/projects/kind/teaching/</link><description>Recent content in Teaching on Arnold Hoogerwerf</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 13 Sep 2018 17:42:35 +0000</lastBuildDate><atom:link href="https://arnoldhoogerwerf.statichost.page/projects/kind/teaching/index.xml" rel="self" type="application/rss+xml"/><item><title>HKU Media Bot</title><link>https://arnoldhoogerwerf.statichost.page/projects/hku-media-bot/</link><pubDate>Thu, 13 Sep 2018 17:42:35 +0000</pubDate><guid>https://arnoldhoogerwerf.statichost.page/projects/hku-media-bot/</guid><description>&lt;h2 id="hku-media-bot"&gt;HKU Media Bot&lt;/h2&gt;&#10;&lt;p&gt;&lt;a href="https://twitter.com/HKUMedia_bot?ref_src=twsrc%5Etfw"&gt;Tweets by HKUMedia_bot&lt;/a&gt; A twitterbot that publishes an auto-generated poem once every hour, based on the words used in all first grade teaching modules within the Media Faculty of the Utrecht University of the Arts (HKU).&lt;/p&gt;&#10;&lt;p&gt;For this twitterbot I used &lt;a href="http://tracery.io"&gt;tracery,&lt;/a&gt; a story-grammar generation library for javascript. The script generates a short new poem, loosely based on the Japanese Haiku poetic form. It uses all nouns, verbs and adjectives from the teaching module descriptions of all the fields of study within HKU Media (Audio Visual Media, Image and Media Technology, Animation, Illustration, Graphic Design and Photography). I used &lt;a href="https://cheapbotsdonequick.com/source/HKUMedia_bot"&gt;cheapbotsdonequick&lt;/a&gt; to create the twitterbot part.This twitterbot, together with the &lt;a href="https://arnoldhoogerwerf.statichost.page/projects/teaching-module-generator/"&gt;Teaching module generator&lt;/a&gt; installation, was part of a research project commissioned by the &lt;a href="https://web.archive.org/web/20210623055322/https://www.hku.nl/onderzoekenexpertise/expertisecentra/expertisecentrumeducatie/overhetexpertisecentrum/publicaties.htm"&gt;Expertisecentrum Educatie&lt;/a&gt; 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.&lt;/p&gt;</description></item><item><title>Teaching Module Generator</title><link>https://arnoldhoogerwerf.statichost.page/projects/teaching-module-generator/</link><pubDate>Wed, 12 Sep 2018 13:11:58 +0000</pubDate><guid>https://arnoldhoogerwerf.statichost.page/projects/teaching-module-generator/</guid><description>&lt;h2 id="teaching-module-generator"&gt;Teaching Module Generator&lt;/h2&gt;&#10;&lt;div style="position:relative;padding-bottom:56.25%;height:0;overflow:hidden"&gt;&#10; &lt;iframe src="https://player.vimeo.com/video/289462692?dnt=1" style="position:absolute;top:0;left:0;width:100%;height:100%;border:0" allow="fullscreen; picture-in-picture" allowfullscreen loading="lazy" title="Vimeo video"&gt;&lt;/iframe&gt;&#10;&lt;/div&gt;&#10;&#10;&lt;p&gt;In cooperation with David Jonas Castanheira, I developed an automatic &lt;em&gt;Teaching module generator&lt;/em&gt;, that generates new lesson content, based on the texts of all first year teaching modules within the Media Faculty of the HKU. &lt;/p&gt;&#10;&lt;p&gt;We used &lt;a href="http://processing.org"&gt;Processing&lt;/a&gt; and the &lt;a href="https://rednoise.org/rita/"&gt;RiTa library&lt;/a&gt; (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 &amp;rsquo;tone of voice&amp;rsquo; across the different disciplines.This installation, together with the &lt;a href="https://arnoldhoogerwerf.statichost.page/projects/hku-media-bot/"&gt;HKU Media twitter bot&lt;/a&gt;, is part of a research project commissioned by the &lt;a href="https://web.archive.org/web/20210623055322/https://www.hku.nl/onderzoekenexpertise/expertisecentra/expertisecentrumeducatie/overhetexpertisecentrum/publicaties.htm"&gt;Expertisecentrum Educatie&lt;/a&gt; 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.&lt;/p&gt;</description></item><item><title>Realtime Motion Design</title><link>https://arnoldhoogerwerf.statichost.page/projects/realtime-motion-design/</link><pubDate>Fri, 01 Sep 2017 18:18:58 +0000</pubDate><guid>https://arnoldhoogerwerf.statichost.page/projects/realtime-motion-design/</guid><description/></item></channel></rss>