<?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 Stephen D. O'Connell</title><link>https://www.stephenoconnell.org/tags/teaching/</link><description>Recent content in Teaching on Stephen D. O'Connell</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Wed, 31 Jul 2019 00:00:00 +0000</lastBuildDate><atom:link href="https://www.stephenoconnell.org/tags/teaching/index.xml" rel="self" type="application/rss+xml"/><item><title>Flipping 'Metrics</title><link>https://www.stephenoconnell.org/project/flippingmetrics/</link><pubDate>Wed, 31 Jul 2019 00:00:00 +0000</pubDate><guid>https://www.stephenoconnell.org/project/flippingmetrics/</guid><description>&lt;p>During graduate school, I taught Econometrics to 10 sections of over 300 undergraduate students over three years at Hunter College, CUNY (present in my first class ever was the notable &lt;a href="http://www.twitter.com/yfeyman">@yfeyman&lt;/a>).&lt;/p>
&lt;p>Training in Econometrics, in my view and experience, is possibly &lt;em>the&lt;/em> defining aspect of an Economics major sought by companies, research organizations, and non-profits who hire Economics majors. I enjoy teaching a mix of theoretical and mathematical rigor as well as practical application using real-world data and programming in statistical software.&lt;/p>
&lt;p>In this project, funded by Emory University&amp;rsquo;s Center for Faculty Development and Excellence, I will combine and integrate multiple ongoing innovations in the teaching of Econometrics to develop and house a set of online materials that can be used to teach a “flipped” class of undergraduate Econometrics.&lt;/p>
&lt;p>This “flipped classroom” will comprise a set of materials that include:&lt;/p>
&lt;ul>
&lt;li>Recorded video lectures,&lt;/li>
&lt;li>Examples and practice learning materials built in R/RMarkdown that students can download and learn both principles and applications, primarily centered around real-world data and examples,&lt;/li>
&lt;li>Lecture and teaching materials from the newly-added “lab” component of the Statistics &amp;amp; Econometrics sequence which teaches students the foundational programming tools for statistical and econometric analysis.&lt;/li>
&lt;/ul>
&lt;p>The project has a second component: connecting to professional application. This segment will invite non-academic professionals who use econometrics in practice to speak to students about their training, experience, and overall career paths.&lt;/p>
&lt;p>Timeline: in development, beta completed by summer, 2020.&lt;/p></description></item></channel></rss>